COURSE FORMAT & DELIVERY DETAILS Self-Paced, On-Demand Learning with Immediate Online Access
Enroll today and begin your transformation immediately. This course is designed for professionals who demand flexibility without sacrificing results. From the moment you register, you gain full access to a comprehensive, meticulously structured learning system that adapts to your schedule, not the other way around. Learn Anytime, Anywhere - No Fixed Commitments
This is a truly on-demand experience. There are no rigid start dates, no weekly deadlines, and no arbitrary time constraints. You decide when to learn, how fast to progress, and how deeply to explore. Whether you're fitting this around a full-time job, family responsibilities, or global travel, the power is in your hands. Fast Results, Lasting Mastery
Many learners report applying core container deployment techniques on the job within days. With focused study, most complete the full program in 6 to 8 weeks. However, the knowledge you gain is engineered for long-term retention, immediate real-world application, and sustained career momentum. This is not theoretical fluff - it's the exact skillset high-performing teams use daily. Lifetime Access with Zero Additional Costs
Once enrolled, your access never expires. You receive lifetime entry to all course content, including every future update, enhancement, and new industry practice as container technology evolves. No subscriptions, no renewal fees, no surprise charges. Your investment is protected and grows in value over time. Available 24/7, Fully Mobile-Friendly
Access the course from any device, anywhere in the world. Whether you're on a desktop at work, reviewing materials on a tablet during your commute, or studying from a smartphone on-site, the experience is seamless, optimized, and fully responsive. Progress syncs across all devices so you never lose your place. Dedicated Instructor Support and Expert Guidance
You are not learning in isolation. Receive ongoing support from industry-experienced mentors who respond to your questions with clarity and precision. This isn't automated chat or robotic replies - it's real human expertise grounded in years of deploying containerized systems at enterprise scale. Your questions are heard, answered, and valued. Certificate of Completion Issued by The Art of Service
Upon finishing the course, you will earn a formal Certificate of Completion issued by The Art of Service. This credential is globally recognized, professionally formatted, and verifiable. It enhances your LinkedIn profile, resumes, and job applications, signaling to employers that you’ve mastered in-demand container deployment skills through a trusted, rigorous, and respected learning institution. No Hidden Fees - Transparent, One-Time Pricing
The price you see is the price you pay. There are no setup fees, no upgrade surcharges, no paywalls to unlock key materials. Everything is included upfront. You’re investing in a complete solution, not a bait-and-switch model. Accepted Payment Methods
We accept Visa, Mastercard, and PayPal. Secure checkout ensures your financial information is protected with industry-leading encryption protocols. Your transaction is safe, fast, and hassle-free. 100% Satisfied or Refunded - Zero-Risk Enrollment
Try the course with complete confidence. If you find it’s not the career accelerator you expected, simply request a full refund within 30 days. No questions asked, no forms to fill, no runaround. We reverse the risk so you can move forward with certainty. Clear, Hassle-Free Access Process
After enrollment, you’ll receive a confirmation email acknowledging your registration. Once your course materials are prepared, which may take up to 48 hours, your access details will be sent separately. This ensures everything is properly configured and ready for an optimal learning experience from your very first login. This Course Works for You - Even If…
You’ve struggled with complex technical training before, your background isn’t in DevOps, or you’re unsure whether containerization is relevant to your role. This program is built for real people in real jobs. Whether you're a software developer refining your deployment workflow, a systems administrator optimizing infrastructure, a solutions architect designing scalable systems, or a project manager seeking deeper technical insight, this course meets you where you are and elevates your capabilities. Don’t just take our word for it. - “As a backend developer, I was hesitant about learning deployment systems, but the step-by-step breakdowns made it intuitive. Within two weeks, I automated our staging environment using containers.” - Daniel R., Software Engineer, Berlin
- “I used to outsource container configurations. Now I lead those conversations in meetings. This course gave me credibility and visibility across engineering teams.” - Priya L., Senior Systems Analyst, Singapore
- “Even with limited command-line experience, the practical exercises built my confidence fast. Now I troubleshoot Kubernetes deployments faster than our DevOps team.” - Marcus T., IT Support Specialist, Toronto
This works even if you've never touched Dockerfiles before, if your company hasn't adopted containers yet, or if you feel behind in the cloud-native wave. The structure is designed to close skill gaps fast and deliver measurable, resume-worthy outcomes. Why This Is the Safest, Highest-ROI Decision You Can Make
This isn’t just another course. It’s a career transformation system with built-in confidence boosters, real-world relevance, and ironclad value protection. You get lifetime access, expert support, a recognized certification, and a money-back guarantee - all while learning the most sought-after deployment skill in modern software engineering. The only risk is not starting.
EXTENSIVE & DETAILED COURSE CURRICULUM
Module 1: Foundations of Containerized Deployment - Understanding the evolution from monolithic to containerized applications
- Core principles of isolation and portability in modern software
- Defining containers vs virtual machines vs serverless
- Exploring the business impact of fast, reliable deployments
- The role of containers in CI/CD pipelines
- Introduction to Docker architecture and components
- Installing and verifying Docker Engine on Linux, Windows, and macOS
- Managing Docker daemon and client interaction
- Understanding images, containers, and layers
- Running your first container with run commands
- Listing, starting, stopping, and removing containers
- Viewing container logs and status in real time
- Inspecting container metadata and configuration
- Executing commands inside running containers
- Managing container lifecycles effectively
- Exploring interactive and detached mode operations
Module 2: Building and Managing Container Images - Understanding image registries and storage concepts
- Pulling and pushing images from public and private repositories
- Tagging images for version control and environment separation
- Writing efficient Dockerfiles with best practices
- Using FROM, RUN, COPY, and CMD instructions correctly
- Leveraging multi-stage builds to reduce image size
- Setting environment variables securely with ARG and ENV
- Configuring working directories and user permissions
- Adding metadata with LABEL instructions
- Exposing ports and defining entry points
- Understanding cache mechanisms in image builds
- Optimizing build context and .dockerignore files
- Signing and verifying images for security assurance
- Automating image builds with build scripts
- Validating image integrity before deployment
- Scanning images for known vulnerabilities
Module 3: Networking and Service Communication - Understanding default Docker networks: bridge, host, none
- Creating custom bridge networks for inter-container communication
- Connecting containers across networks dynamically
- Publishing container ports to the host machine
- Configuring port mapping for HTTP, HTTPS, and custom services
- Using DNS resolution between containers on the same network
- Setting up aliases and service discovery
- Managing ingress and egress traffic rules
- Securing network communication with iptables basics
- Implementing container firewalling strategies
- Diagnosing network connectivity issues with tools like curl and ping
- Using network drivers for specialized connectivity
- Working with macvlan and ipvlan for physical network integration
- Configuring overlay networks for swarm mode
- Evaluating network performance under load
- Planning network topology for production workloads
Module 4: Persistent Data and Volume Management - Differentiating between ephemeral and persistent data
- Managing container state with volumes and bind mounts
- Creating and managing named volumes
- Mounting host directories into containers
- Using volume drivers for cloud storage integration
- Backing up and restoring container data efficiently
- Securing volume access with permission controls
- Sharing data between containers using volumes
- Configuring read-only and writable mount options
- Managing database persistence in containers
- Using tmpfs mounts for temporary data
- Automating data cleanup with volume pruning
- Monitoring disk usage and I/O performance
- Planning storage strategies for high-availability applications
- Evaluating volume plugins for enterprise environments
- Synchronizing data across development, staging, and production
Module 5: Orchestration with Docker Compose - Introduction to multi-container application management
- Writing docker-compose.yml files from scratch
- Defining services, networks, and volumes in Compose
- Scaling services with docker-compose up --scale
- Managing dependencies with depends_on
- Passing environment variables through .env files
- Overriding configurations with multiple Compose files
- Using profiles to enable conditional service startup
- Viewing logs across multiple services simultaneously
- Restarting and rebuilding services selectively
- Checking service health with healthcheck directives
- Setting resource limits and reservations
- Deploying applications locally with Compose V2
- Validating Compose file syntax with docker-compose config
- Importing external configs and secrets
- Securing Compose deployments with minimal privileges
Module 6: CI/CD Integration and Automation - Integrating container builds into Jenkins pipelines
- Setting up GitHub Actions for automated Docker builds
- Automating testing within containerized environments
- Pushing images to private registries after successful builds
- Tagging images with Git commit hashes
- Using build arguments for dynamic configuration
- Running unit, integration, and security tests in containers
- Generating build artifacts and reports inside containers
- Orchestrating multi-stage deployments across environments
- Implementing rollback strategies with image versioning
- Using triggers to start deployments on code changes
- Securing secrets in pipelines with external managers
- Validating deployment readiness with smoke tests
- Generating audit logs for compliance tracking
- Monitoring pipeline performance and failure rates
- Creating reusable pipeline templates for teams
Module 7: Production Readiness and Security Best Practices - Running containers as non-root users
- Implementing least privilege access controls
- Hardening Docker daemon configuration
- Scanning images with Clair and Trivy
- Signing images using Docker Content Trust
- Enabling seccomp, AppArmor, and SELinux profiles
- Removing unnecessary capabilities with --cap-drop
- Using read-only filesystems where possible
- Configuring user namespaces for isolation
- Managing secrets securely with Docker secrets
- Avoiding hardcoded credentials in Dockerfiles
- Using external secret stores like HashiCorp Vault
- Rotating credentials and keys automatically
- Monitoring for suspicious container behavior
- Establishing runtime security policies with Falco
- Conducting regular security audits and penetration tests
Module 8: Orchestration at Scale with Kubernetes Fundamentals - Understanding Kubernetes architecture and control plane
- Setting up a local Kubernetes cluster with Minikube
- Exploring kubectl command-line tool basics
- Deploying your first pod with YAML manifests
- Differentiating between pods, deployments, and replicasets
- Scaling applications with kubectl scale
- Managing rolling updates and rollbacks
- Exposing services with NodePort, ClusterIP, and LoadBalancer
- Using Ingress controllers for external access
- Configuring resource requests and limits for pods
- Defining liveness and readiness probes
- Managing configuration with ConfigMaps
- Handling sensitive data with Secrets objects
- Persisting data with PersistentVolumes and Claims
- Scheduling pods with taints, tolerations, and node selectors
- Monitoring cluster health with kubectl commands
Module 9: Advanced Kubernetes Patterns and Operations - Designing blue-green deployments in Kubernetes
- Implementing canary releases with service mesh integration
- Using Helm charts for repeatable application packaging
- Creating custom Helm templates and values files
- Managing complex configurations with Kustomize
- Deploying operators for stateful applications
- Implementing autoscaling with Horizontal Pod Autoscaler
- Configuring vertical scaling options
- Deploying daemonsets for cluster-wide agents
- Scheduling batch jobs and cron jobs securely
- Managing RBAC roles and permissions
- Implementing network policies for pod isolation
- Using init containers for setup tasks
- Graceful shutdown handling with preStop hooks
- Implementing sidecar containers for logging and monitoring
- Observing applications with metrics and event logs
Module 10: Monitoring, Logging, and Observability - Setting up centralized logging with ELK stack
- Streaming container logs to external systems
- Parsing structured logs with JSON format
- Aggregating metrics with Prometheus
- Exposing metrics endpoints in containers
- Creating dashboards with Grafana
- Monitoring container CPU, memory, and network usage
- Setting up alerts for high resource consumption
- Tracing requests across microservices with Jaeger
- Collecting distributed traces with OpenTelemetry
- Using health endpoints for liveness detection
- Implementing log rotation and retention policies
- Correlating logs with request IDs and traces
- Debugging slow transactions in production
- Establishing SLOs and error budgets
- Generating operational reports for stakeholders
Module 11: Infrastructure as Code and Configuration Management - Defining infrastructure with Terraform for containers
- Provisioning cloud resources to host Kubernetes
- Managing state files securely in team environments
- Using variables and modules for reusable configurations
- Automating cluster creation with Terraform scripts
- Integrating Ansible playbooks for configuration drift
- Applying desired state configuration principles
- Bootstrapping nodes with custom initialization scripts
- Versioning infrastructure changes with Git
- Implementing policy as code with OPA
- Validating configurations before deployment
- Managing secrets with external vault integration
- Creating reusable environment templates
- Enabling audit trails for compliance reporting
- Facilitating peer review of infrastructure changes
- Documenting architecture decisions with ADRs
Module 12: Cloud-Native Ecosystem and Service Mesh Integration - Understanding service mesh architecture benefits
- Implementing Istio sidecar injection
- Routing traffic with virtual services
- Configuring destination rules for subsets
- Implementing request timeouts and retries
- Enabling circuit breaking for fault tolerance
- Securing service-to-service communication with mTLS
- Observing traffic flows with Kiali
- Managing access control with authorization policies
- Setting rate limits to prevent abuse
- Integrating with AWS App Mesh and Google Traffic Director
- Migrating from monolith to microservices safely
- Decomposing applications into bounded contexts
- Designing resilient APIs for container environments
- Using OpenAPI specifications for contract safety
- Validating payloads with schema enforcement
Module 13: High Availability and Disaster Recovery - Designing multi-zone Kubernetes clusters
- Replicating workloads across regions
- Setting up automated backups of cluster state
- Restoring clusters from backup snapshots
- Testing failover procedures with chaos engineering
- Using PodDisruptionBudgets to limit downtime
- Deploying applications with quorum-based voting
- Managing distributed coordination with etcd
- Securing backup data with encryption at rest
- Validating recovery point and time objectives
- Scheduling regular disaster recovery drills
- Designing for zero data loss scenarios
- Using shared storage for stateful failover
- Implementing DNS-based routing for region switching
- Monitoring replication lag and sync status
- Documenting incident response playbooks
Module 14: Real-World Implementation Projects - Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review
Module 15: Career Advancement and Certification Preparation - Mapping container skills to job roles and salaries
- Highlighting achievements on LinkedIn and resumes
- Preparing for technical interviews with container scenarios
- Answering situational questions about deployment failures
- Demonstrating security knowledge in professional settings
- Explaining orchestration choices clearly and confidently
- Building a personal portfolio of deployment projects
- Contributing to open-source container tools
- Joining professional communities and forums
- Staying current with CNCF announcements and trends
- Tracking emerging tools in the container ecosystem
- Planning career progression paths: DevOps, SRE, Cloud Architect
- Pursuing advanced certifications strategically
- Networking with industry professionals
- Presenting at meetups or internal tech talks
- Earning your Certificate of Completion issued by The Art of Service
Module 1: Foundations of Containerized Deployment - Understanding the evolution from monolithic to containerized applications
- Core principles of isolation and portability in modern software
- Defining containers vs virtual machines vs serverless
- Exploring the business impact of fast, reliable deployments
- The role of containers in CI/CD pipelines
- Introduction to Docker architecture and components
- Installing and verifying Docker Engine on Linux, Windows, and macOS
- Managing Docker daemon and client interaction
- Understanding images, containers, and layers
- Running your first container with run commands
- Listing, starting, stopping, and removing containers
- Viewing container logs and status in real time
- Inspecting container metadata and configuration
- Executing commands inside running containers
- Managing container lifecycles effectively
- Exploring interactive and detached mode operations
Module 2: Building and Managing Container Images - Understanding image registries and storage concepts
- Pulling and pushing images from public and private repositories
- Tagging images for version control and environment separation
- Writing efficient Dockerfiles with best practices
- Using FROM, RUN, COPY, and CMD instructions correctly
- Leveraging multi-stage builds to reduce image size
- Setting environment variables securely with ARG and ENV
- Configuring working directories and user permissions
- Adding metadata with LABEL instructions
- Exposing ports and defining entry points
- Understanding cache mechanisms in image builds
- Optimizing build context and .dockerignore files
- Signing and verifying images for security assurance
- Automating image builds with build scripts
- Validating image integrity before deployment
- Scanning images for known vulnerabilities
Module 3: Networking and Service Communication - Understanding default Docker networks: bridge, host, none
- Creating custom bridge networks for inter-container communication
- Connecting containers across networks dynamically
- Publishing container ports to the host machine
- Configuring port mapping for HTTP, HTTPS, and custom services
- Using DNS resolution between containers on the same network
- Setting up aliases and service discovery
- Managing ingress and egress traffic rules
- Securing network communication with iptables basics
- Implementing container firewalling strategies
- Diagnosing network connectivity issues with tools like curl and ping
- Using network drivers for specialized connectivity
- Working with macvlan and ipvlan for physical network integration
- Configuring overlay networks for swarm mode
- Evaluating network performance under load
- Planning network topology for production workloads
Module 4: Persistent Data and Volume Management - Differentiating between ephemeral and persistent data
- Managing container state with volumes and bind mounts
- Creating and managing named volumes
- Mounting host directories into containers
- Using volume drivers for cloud storage integration
- Backing up and restoring container data efficiently
- Securing volume access with permission controls
- Sharing data between containers using volumes
- Configuring read-only and writable mount options
- Managing database persistence in containers
- Using tmpfs mounts for temporary data
- Automating data cleanup with volume pruning
- Monitoring disk usage and I/O performance
- Planning storage strategies for high-availability applications
- Evaluating volume plugins for enterprise environments
- Synchronizing data across development, staging, and production
Module 5: Orchestration with Docker Compose - Introduction to multi-container application management
- Writing docker-compose.yml files from scratch
- Defining services, networks, and volumes in Compose
- Scaling services with docker-compose up --scale
- Managing dependencies with depends_on
- Passing environment variables through .env files
- Overriding configurations with multiple Compose files
- Using profiles to enable conditional service startup
- Viewing logs across multiple services simultaneously
- Restarting and rebuilding services selectively
- Checking service health with healthcheck directives
- Setting resource limits and reservations
- Deploying applications locally with Compose V2
- Validating Compose file syntax with docker-compose config
- Importing external configs and secrets
- Securing Compose deployments with minimal privileges
Module 6: CI/CD Integration and Automation - Integrating container builds into Jenkins pipelines
- Setting up GitHub Actions for automated Docker builds
- Automating testing within containerized environments
- Pushing images to private registries after successful builds
- Tagging images with Git commit hashes
- Using build arguments for dynamic configuration
- Running unit, integration, and security tests in containers
- Generating build artifacts and reports inside containers
- Orchestrating multi-stage deployments across environments
- Implementing rollback strategies with image versioning
- Using triggers to start deployments on code changes
- Securing secrets in pipelines with external managers
- Validating deployment readiness with smoke tests
- Generating audit logs for compliance tracking
- Monitoring pipeline performance and failure rates
- Creating reusable pipeline templates for teams
Module 7: Production Readiness and Security Best Practices - Running containers as non-root users
- Implementing least privilege access controls
- Hardening Docker daemon configuration
- Scanning images with Clair and Trivy
- Signing images using Docker Content Trust
- Enabling seccomp, AppArmor, and SELinux profiles
- Removing unnecessary capabilities with --cap-drop
- Using read-only filesystems where possible
- Configuring user namespaces for isolation
- Managing secrets securely with Docker secrets
- Avoiding hardcoded credentials in Dockerfiles
- Using external secret stores like HashiCorp Vault
- Rotating credentials and keys automatically
- Monitoring for suspicious container behavior
- Establishing runtime security policies with Falco
- Conducting regular security audits and penetration tests
Module 8: Orchestration at Scale with Kubernetes Fundamentals - Understanding Kubernetes architecture and control plane
- Setting up a local Kubernetes cluster with Minikube
- Exploring kubectl command-line tool basics
- Deploying your first pod with YAML manifests
- Differentiating between pods, deployments, and replicasets
- Scaling applications with kubectl scale
- Managing rolling updates and rollbacks
- Exposing services with NodePort, ClusterIP, and LoadBalancer
- Using Ingress controllers for external access
- Configuring resource requests and limits for pods
- Defining liveness and readiness probes
- Managing configuration with ConfigMaps
- Handling sensitive data with Secrets objects
- Persisting data with PersistentVolumes and Claims
- Scheduling pods with taints, tolerations, and node selectors
- Monitoring cluster health with kubectl commands
Module 9: Advanced Kubernetes Patterns and Operations - Designing blue-green deployments in Kubernetes
- Implementing canary releases with service mesh integration
- Using Helm charts for repeatable application packaging
- Creating custom Helm templates and values files
- Managing complex configurations with Kustomize
- Deploying operators for stateful applications
- Implementing autoscaling with Horizontal Pod Autoscaler
- Configuring vertical scaling options
- Deploying daemonsets for cluster-wide agents
- Scheduling batch jobs and cron jobs securely
- Managing RBAC roles and permissions
- Implementing network policies for pod isolation
- Using init containers for setup tasks
- Graceful shutdown handling with preStop hooks
- Implementing sidecar containers for logging and monitoring
- Observing applications with metrics and event logs
Module 10: Monitoring, Logging, and Observability - Setting up centralized logging with ELK stack
- Streaming container logs to external systems
- Parsing structured logs with JSON format
- Aggregating metrics with Prometheus
- Exposing metrics endpoints in containers
- Creating dashboards with Grafana
- Monitoring container CPU, memory, and network usage
- Setting up alerts for high resource consumption
- Tracing requests across microservices with Jaeger
- Collecting distributed traces with OpenTelemetry
- Using health endpoints for liveness detection
- Implementing log rotation and retention policies
- Correlating logs with request IDs and traces
- Debugging slow transactions in production
- Establishing SLOs and error budgets
- Generating operational reports for stakeholders
Module 11: Infrastructure as Code and Configuration Management - Defining infrastructure with Terraform for containers
- Provisioning cloud resources to host Kubernetes
- Managing state files securely in team environments
- Using variables and modules for reusable configurations
- Automating cluster creation with Terraform scripts
- Integrating Ansible playbooks for configuration drift
- Applying desired state configuration principles
- Bootstrapping nodes with custom initialization scripts
- Versioning infrastructure changes with Git
- Implementing policy as code with OPA
- Validating configurations before deployment
- Managing secrets with external vault integration
- Creating reusable environment templates
- Enabling audit trails for compliance reporting
- Facilitating peer review of infrastructure changes
- Documenting architecture decisions with ADRs
Module 12: Cloud-Native Ecosystem and Service Mesh Integration - Understanding service mesh architecture benefits
- Implementing Istio sidecar injection
- Routing traffic with virtual services
- Configuring destination rules for subsets
- Implementing request timeouts and retries
- Enabling circuit breaking for fault tolerance
- Securing service-to-service communication with mTLS
- Observing traffic flows with Kiali
- Managing access control with authorization policies
- Setting rate limits to prevent abuse
- Integrating with AWS App Mesh and Google Traffic Director
- Migrating from monolith to microservices safely
- Decomposing applications into bounded contexts
- Designing resilient APIs for container environments
- Using OpenAPI specifications for contract safety
- Validating payloads with schema enforcement
Module 13: High Availability and Disaster Recovery - Designing multi-zone Kubernetes clusters
- Replicating workloads across regions
- Setting up automated backups of cluster state
- Restoring clusters from backup snapshots
- Testing failover procedures with chaos engineering
- Using PodDisruptionBudgets to limit downtime
- Deploying applications with quorum-based voting
- Managing distributed coordination with etcd
- Securing backup data with encryption at rest
- Validating recovery point and time objectives
- Scheduling regular disaster recovery drills
- Designing for zero data loss scenarios
- Using shared storage for stateful failover
- Implementing DNS-based routing for region switching
- Monitoring replication lag and sync status
- Documenting incident response playbooks
Module 14: Real-World Implementation Projects - Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review
Module 15: Career Advancement and Certification Preparation - Mapping container skills to job roles and salaries
- Highlighting achievements on LinkedIn and resumes
- Preparing for technical interviews with container scenarios
- Answering situational questions about deployment failures
- Demonstrating security knowledge in professional settings
- Explaining orchestration choices clearly and confidently
- Building a personal portfolio of deployment projects
- Contributing to open-source container tools
- Joining professional communities and forums
- Staying current with CNCF announcements and trends
- Tracking emerging tools in the container ecosystem
- Planning career progression paths: DevOps, SRE, Cloud Architect
- Pursuing advanced certifications strategically
- Networking with industry professionals
- Presenting at meetups or internal tech talks
- Earning your Certificate of Completion issued by The Art of Service
- Understanding image registries and storage concepts
- Pulling and pushing images from public and private repositories
- Tagging images for version control and environment separation
- Writing efficient Dockerfiles with best practices
- Using FROM, RUN, COPY, and CMD instructions correctly
- Leveraging multi-stage builds to reduce image size
- Setting environment variables securely with ARG and ENV
- Configuring working directories and user permissions
- Adding metadata with LABEL instructions
- Exposing ports and defining entry points
- Understanding cache mechanisms in image builds
- Optimizing build context and .dockerignore files
- Signing and verifying images for security assurance
- Automating image builds with build scripts
- Validating image integrity before deployment
- Scanning images for known vulnerabilities
Module 3: Networking and Service Communication - Understanding default Docker networks: bridge, host, none
- Creating custom bridge networks for inter-container communication
- Connecting containers across networks dynamically
- Publishing container ports to the host machine
- Configuring port mapping for HTTP, HTTPS, and custom services
- Using DNS resolution between containers on the same network
- Setting up aliases and service discovery
- Managing ingress and egress traffic rules
- Securing network communication with iptables basics
- Implementing container firewalling strategies
- Diagnosing network connectivity issues with tools like curl and ping
- Using network drivers for specialized connectivity
- Working with macvlan and ipvlan for physical network integration
- Configuring overlay networks for swarm mode
- Evaluating network performance under load
- Planning network topology for production workloads
Module 4: Persistent Data and Volume Management - Differentiating between ephemeral and persistent data
- Managing container state with volumes and bind mounts
- Creating and managing named volumes
- Mounting host directories into containers
- Using volume drivers for cloud storage integration
- Backing up and restoring container data efficiently
- Securing volume access with permission controls
- Sharing data between containers using volumes
- Configuring read-only and writable mount options
- Managing database persistence in containers
- Using tmpfs mounts for temporary data
- Automating data cleanup with volume pruning
- Monitoring disk usage and I/O performance
- Planning storage strategies for high-availability applications
- Evaluating volume plugins for enterprise environments
- Synchronizing data across development, staging, and production
Module 5: Orchestration with Docker Compose - Introduction to multi-container application management
- Writing docker-compose.yml files from scratch
- Defining services, networks, and volumes in Compose
- Scaling services with docker-compose up --scale
- Managing dependencies with depends_on
- Passing environment variables through .env files
- Overriding configurations with multiple Compose files
- Using profiles to enable conditional service startup
- Viewing logs across multiple services simultaneously
- Restarting and rebuilding services selectively
- Checking service health with healthcheck directives
- Setting resource limits and reservations
- Deploying applications locally with Compose V2
- Validating Compose file syntax with docker-compose config
- Importing external configs and secrets
- Securing Compose deployments with minimal privileges
Module 6: CI/CD Integration and Automation - Integrating container builds into Jenkins pipelines
- Setting up GitHub Actions for automated Docker builds
- Automating testing within containerized environments
- Pushing images to private registries after successful builds
- Tagging images with Git commit hashes
- Using build arguments for dynamic configuration
- Running unit, integration, and security tests in containers
- Generating build artifacts and reports inside containers
- Orchestrating multi-stage deployments across environments
- Implementing rollback strategies with image versioning
- Using triggers to start deployments on code changes
- Securing secrets in pipelines with external managers
- Validating deployment readiness with smoke tests
- Generating audit logs for compliance tracking
- Monitoring pipeline performance and failure rates
- Creating reusable pipeline templates for teams
Module 7: Production Readiness and Security Best Practices - Running containers as non-root users
- Implementing least privilege access controls
- Hardening Docker daemon configuration
- Scanning images with Clair and Trivy
- Signing images using Docker Content Trust
- Enabling seccomp, AppArmor, and SELinux profiles
- Removing unnecessary capabilities with --cap-drop
- Using read-only filesystems where possible
- Configuring user namespaces for isolation
- Managing secrets securely with Docker secrets
- Avoiding hardcoded credentials in Dockerfiles
- Using external secret stores like HashiCorp Vault
- Rotating credentials and keys automatically
- Monitoring for suspicious container behavior
- Establishing runtime security policies with Falco
- Conducting regular security audits and penetration tests
Module 8: Orchestration at Scale with Kubernetes Fundamentals - Understanding Kubernetes architecture and control plane
- Setting up a local Kubernetes cluster with Minikube
- Exploring kubectl command-line tool basics
- Deploying your first pod with YAML manifests
- Differentiating between pods, deployments, and replicasets
- Scaling applications with kubectl scale
- Managing rolling updates and rollbacks
- Exposing services with NodePort, ClusterIP, and LoadBalancer
- Using Ingress controllers for external access
- Configuring resource requests and limits for pods
- Defining liveness and readiness probes
- Managing configuration with ConfigMaps
- Handling sensitive data with Secrets objects
- Persisting data with PersistentVolumes and Claims
- Scheduling pods with taints, tolerations, and node selectors
- Monitoring cluster health with kubectl commands
Module 9: Advanced Kubernetes Patterns and Operations - Designing blue-green deployments in Kubernetes
- Implementing canary releases with service mesh integration
- Using Helm charts for repeatable application packaging
- Creating custom Helm templates and values files
- Managing complex configurations with Kustomize
- Deploying operators for stateful applications
- Implementing autoscaling with Horizontal Pod Autoscaler
- Configuring vertical scaling options
- Deploying daemonsets for cluster-wide agents
- Scheduling batch jobs and cron jobs securely
- Managing RBAC roles and permissions
- Implementing network policies for pod isolation
- Using init containers for setup tasks
- Graceful shutdown handling with preStop hooks
- Implementing sidecar containers for logging and monitoring
- Observing applications with metrics and event logs
Module 10: Monitoring, Logging, and Observability - Setting up centralized logging with ELK stack
- Streaming container logs to external systems
- Parsing structured logs with JSON format
- Aggregating metrics with Prometheus
- Exposing metrics endpoints in containers
- Creating dashboards with Grafana
- Monitoring container CPU, memory, and network usage
- Setting up alerts for high resource consumption
- Tracing requests across microservices with Jaeger
- Collecting distributed traces with OpenTelemetry
- Using health endpoints for liveness detection
- Implementing log rotation and retention policies
- Correlating logs with request IDs and traces
- Debugging slow transactions in production
- Establishing SLOs and error budgets
- Generating operational reports for stakeholders
Module 11: Infrastructure as Code and Configuration Management - Defining infrastructure with Terraform for containers
- Provisioning cloud resources to host Kubernetes
- Managing state files securely in team environments
- Using variables and modules for reusable configurations
- Automating cluster creation with Terraform scripts
- Integrating Ansible playbooks for configuration drift
- Applying desired state configuration principles
- Bootstrapping nodes with custom initialization scripts
- Versioning infrastructure changes with Git
- Implementing policy as code with OPA
- Validating configurations before deployment
- Managing secrets with external vault integration
- Creating reusable environment templates
- Enabling audit trails for compliance reporting
- Facilitating peer review of infrastructure changes
- Documenting architecture decisions with ADRs
Module 12: Cloud-Native Ecosystem and Service Mesh Integration - Understanding service mesh architecture benefits
- Implementing Istio sidecar injection
- Routing traffic with virtual services
- Configuring destination rules for subsets
- Implementing request timeouts and retries
- Enabling circuit breaking for fault tolerance
- Securing service-to-service communication with mTLS
- Observing traffic flows with Kiali
- Managing access control with authorization policies
- Setting rate limits to prevent abuse
- Integrating with AWS App Mesh and Google Traffic Director
- Migrating from monolith to microservices safely
- Decomposing applications into bounded contexts
- Designing resilient APIs for container environments
- Using OpenAPI specifications for contract safety
- Validating payloads with schema enforcement
Module 13: High Availability and Disaster Recovery - Designing multi-zone Kubernetes clusters
- Replicating workloads across regions
- Setting up automated backups of cluster state
- Restoring clusters from backup snapshots
- Testing failover procedures with chaos engineering
- Using PodDisruptionBudgets to limit downtime
- Deploying applications with quorum-based voting
- Managing distributed coordination with etcd
- Securing backup data with encryption at rest
- Validating recovery point and time objectives
- Scheduling regular disaster recovery drills
- Designing for zero data loss scenarios
- Using shared storage for stateful failover
- Implementing DNS-based routing for region switching
- Monitoring replication lag and sync status
- Documenting incident response playbooks
Module 14: Real-World Implementation Projects - Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review
Module 15: Career Advancement and Certification Preparation - Mapping container skills to job roles and salaries
- Highlighting achievements on LinkedIn and resumes
- Preparing for technical interviews with container scenarios
- Answering situational questions about deployment failures
- Demonstrating security knowledge in professional settings
- Explaining orchestration choices clearly and confidently
- Building a personal portfolio of deployment projects
- Contributing to open-source container tools
- Joining professional communities and forums
- Staying current with CNCF announcements and trends
- Tracking emerging tools in the container ecosystem
- Planning career progression paths: DevOps, SRE, Cloud Architect
- Pursuing advanced certifications strategically
- Networking with industry professionals
- Presenting at meetups or internal tech talks
- Earning your Certificate of Completion issued by The Art of Service
- Differentiating between ephemeral and persistent data
- Managing container state with volumes and bind mounts
- Creating and managing named volumes
- Mounting host directories into containers
- Using volume drivers for cloud storage integration
- Backing up and restoring container data efficiently
- Securing volume access with permission controls
- Sharing data between containers using volumes
- Configuring read-only and writable mount options
- Managing database persistence in containers
- Using tmpfs mounts for temporary data
- Automating data cleanup with volume pruning
- Monitoring disk usage and I/O performance
- Planning storage strategies for high-availability applications
- Evaluating volume plugins for enterprise environments
- Synchronizing data across development, staging, and production
Module 5: Orchestration with Docker Compose - Introduction to multi-container application management
- Writing docker-compose.yml files from scratch
- Defining services, networks, and volumes in Compose
- Scaling services with docker-compose up --scale
- Managing dependencies with depends_on
- Passing environment variables through .env files
- Overriding configurations with multiple Compose files
- Using profiles to enable conditional service startup
- Viewing logs across multiple services simultaneously
- Restarting and rebuilding services selectively
- Checking service health with healthcheck directives
- Setting resource limits and reservations
- Deploying applications locally with Compose V2
- Validating Compose file syntax with docker-compose config
- Importing external configs and secrets
- Securing Compose deployments with minimal privileges
Module 6: CI/CD Integration and Automation - Integrating container builds into Jenkins pipelines
- Setting up GitHub Actions for automated Docker builds
- Automating testing within containerized environments
- Pushing images to private registries after successful builds
- Tagging images with Git commit hashes
- Using build arguments for dynamic configuration
- Running unit, integration, and security tests in containers
- Generating build artifacts and reports inside containers
- Orchestrating multi-stage deployments across environments
- Implementing rollback strategies with image versioning
- Using triggers to start deployments on code changes
- Securing secrets in pipelines with external managers
- Validating deployment readiness with smoke tests
- Generating audit logs for compliance tracking
- Monitoring pipeline performance and failure rates
- Creating reusable pipeline templates for teams
Module 7: Production Readiness and Security Best Practices - Running containers as non-root users
- Implementing least privilege access controls
- Hardening Docker daemon configuration
- Scanning images with Clair and Trivy
- Signing images using Docker Content Trust
- Enabling seccomp, AppArmor, and SELinux profiles
- Removing unnecessary capabilities with --cap-drop
- Using read-only filesystems where possible
- Configuring user namespaces for isolation
- Managing secrets securely with Docker secrets
- Avoiding hardcoded credentials in Dockerfiles
- Using external secret stores like HashiCorp Vault
- Rotating credentials and keys automatically
- Monitoring for suspicious container behavior
- Establishing runtime security policies with Falco
- Conducting regular security audits and penetration tests
Module 8: Orchestration at Scale with Kubernetes Fundamentals - Understanding Kubernetes architecture and control plane
- Setting up a local Kubernetes cluster with Minikube
- Exploring kubectl command-line tool basics
- Deploying your first pod with YAML manifests
- Differentiating between pods, deployments, and replicasets
- Scaling applications with kubectl scale
- Managing rolling updates and rollbacks
- Exposing services with NodePort, ClusterIP, and LoadBalancer
- Using Ingress controllers for external access
- Configuring resource requests and limits for pods
- Defining liveness and readiness probes
- Managing configuration with ConfigMaps
- Handling sensitive data with Secrets objects
- Persisting data with PersistentVolumes and Claims
- Scheduling pods with taints, tolerations, and node selectors
- Monitoring cluster health with kubectl commands
Module 9: Advanced Kubernetes Patterns and Operations - Designing blue-green deployments in Kubernetes
- Implementing canary releases with service mesh integration
- Using Helm charts for repeatable application packaging
- Creating custom Helm templates and values files
- Managing complex configurations with Kustomize
- Deploying operators for stateful applications
- Implementing autoscaling with Horizontal Pod Autoscaler
- Configuring vertical scaling options
- Deploying daemonsets for cluster-wide agents
- Scheduling batch jobs and cron jobs securely
- Managing RBAC roles and permissions
- Implementing network policies for pod isolation
- Using init containers for setup tasks
- Graceful shutdown handling with preStop hooks
- Implementing sidecar containers for logging and monitoring
- Observing applications with metrics and event logs
Module 10: Monitoring, Logging, and Observability - Setting up centralized logging with ELK stack
- Streaming container logs to external systems
- Parsing structured logs with JSON format
- Aggregating metrics with Prometheus
- Exposing metrics endpoints in containers
- Creating dashboards with Grafana
- Monitoring container CPU, memory, and network usage
- Setting up alerts for high resource consumption
- Tracing requests across microservices with Jaeger
- Collecting distributed traces with OpenTelemetry
- Using health endpoints for liveness detection
- Implementing log rotation and retention policies
- Correlating logs with request IDs and traces
- Debugging slow transactions in production
- Establishing SLOs and error budgets
- Generating operational reports for stakeholders
Module 11: Infrastructure as Code and Configuration Management - Defining infrastructure with Terraform for containers
- Provisioning cloud resources to host Kubernetes
- Managing state files securely in team environments
- Using variables and modules for reusable configurations
- Automating cluster creation with Terraform scripts
- Integrating Ansible playbooks for configuration drift
- Applying desired state configuration principles
- Bootstrapping nodes with custom initialization scripts
- Versioning infrastructure changes with Git
- Implementing policy as code with OPA
- Validating configurations before deployment
- Managing secrets with external vault integration
- Creating reusable environment templates
- Enabling audit trails for compliance reporting
- Facilitating peer review of infrastructure changes
- Documenting architecture decisions with ADRs
Module 12: Cloud-Native Ecosystem and Service Mesh Integration - Understanding service mesh architecture benefits
- Implementing Istio sidecar injection
- Routing traffic with virtual services
- Configuring destination rules for subsets
- Implementing request timeouts and retries
- Enabling circuit breaking for fault tolerance
- Securing service-to-service communication with mTLS
- Observing traffic flows with Kiali
- Managing access control with authorization policies
- Setting rate limits to prevent abuse
- Integrating with AWS App Mesh and Google Traffic Director
- Migrating from monolith to microservices safely
- Decomposing applications into bounded contexts
- Designing resilient APIs for container environments
- Using OpenAPI specifications for contract safety
- Validating payloads with schema enforcement
Module 13: High Availability and Disaster Recovery - Designing multi-zone Kubernetes clusters
- Replicating workloads across regions
- Setting up automated backups of cluster state
- Restoring clusters from backup snapshots
- Testing failover procedures with chaos engineering
- Using PodDisruptionBudgets to limit downtime
- Deploying applications with quorum-based voting
- Managing distributed coordination with etcd
- Securing backup data with encryption at rest
- Validating recovery point and time objectives
- Scheduling regular disaster recovery drills
- Designing for zero data loss scenarios
- Using shared storage for stateful failover
- Implementing DNS-based routing for region switching
- Monitoring replication lag and sync status
- Documenting incident response playbooks
Module 14: Real-World Implementation Projects - Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review
Module 15: Career Advancement and Certification Preparation - Mapping container skills to job roles and salaries
- Highlighting achievements on LinkedIn and resumes
- Preparing for technical interviews with container scenarios
- Answering situational questions about deployment failures
- Demonstrating security knowledge in professional settings
- Explaining orchestration choices clearly and confidently
- Building a personal portfolio of deployment projects
- Contributing to open-source container tools
- Joining professional communities and forums
- Staying current with CNCF announcements and trends
- Tracking emerging tools in the container ecosystem
- Planning career progression paths: DevOps, SRE, Cloud Architect
- Pursuing advanced certifications strategically
- Networking with industry professionals
- Presenting at meetups or internal tech talks
- Earning your Certificate of Completion issued by The Art of Service
- Integrating container builds into Jenkins pipelines
- Setting up GitHub Actions for automated Docker builds
- Automating testing within containerized environments
- Pushing images to private registries after successful builds
- Tagging images with Git commit hashes
- Using build arguments for dynamic configuration
- Running unit, integration, and security tests in containers
- Generating build artifacts and reports inside containers
- Orchestrating multi-stage deployments across environments
- Implementing rollback strategies with image versioning
- Using triggers to start deployments on code changes
- Securing secrets in pipelines with external managers
- Validating deployment readiness with smoke tests
- Generating audit logs for compliance tracking
- Monitoring pipeline performance and failure rates
- Creating reusable pipeline templates for teams
Module 7: Production Readiness and Security Best Practices - Running containers as non-root users
- Implementing least privilege access controls
- Hardening Docker daemon configuration
- Scanning images with Clair and Trivy
- Signing images using Docker Content Trust
- Enabling seccomp, AppArmor, and SELinux profiles
- Removing unnecessary capabilities with --cap-drop
- Using read-only filesystems where possible
- Configuring user namespaces for isolation
- Managing secrets securely with Docker secrets
- Avoiding hardcoded credentials in Dockerfiles
- Using external secret stores like HashiCorp Vault
- Rotating credentials and keys automatically
- Monitoring for suspicious container behavior
- Establishing runtime security policies with Falco
- Conducting regular security audits and penetration tests
Module 8: Orchestration at Scale with Kubernetes Fundamentals - Understanding Kubernetes architecture and control plane
- Setting up a local Kubernetes cluster with Minikube
- Exploring kubectl command-line tool basics
- Deploying your first pod with YAML manifests
- Differentiating between pods, deployments, and replicasets
- Scaling applications with kubectl scale
- Managing rolling updates and rollbacks
- Exposing services with NodePort, ClusterIP, and LoadBalancer
- Using Ingress controllers for external access
- Configuring resource requests and limits for pods
- Defining liveness and readiness probes
- Managing configuration with ConfigMaps
- Handling sensitive data with Secrets objects
- Persisting data with PersistentVolumes and Claims
- Scheduling pods with taints, tolerations, and node selectors
- Monitoring cluster health with kubectl commands
Module 9: Advanced Kubernetes Patterns and Operations - Designing blue-green deployments in Kubernetes
- Implementing canary releases with service mesh integration
- Using Helm charts for repeatable application packaging
- Creating custom Helm templates and values files
- Managing complex configurations with Kustomize
- Deploying operators for stateful applications
- Implementing autoscaling with Horizontal Pod Autoscaler
- Configuring vertical scaling options
- Deploying daemonsets for cluster-wide agents
- Scheduling batch jobs and cron jobs securely
- Managing RBAC roles and permissions
- Implementing network policies for pod isolation
- Using init containers for setup tasks
- Graceful shutdown handling with preStop hooks
- Implementing sidecar containers for logging and monitoring
- Observing applications with metrics and event logs
Module 10: Monitoring, Logging, and Observability - Setting up centralized logging with ELK stack
- Streaming container logs to external systems
- Parsing structured logs with JSON format
- Aggregating metrics with Prometheus
- Exposing metrics endpoints in containers
- Creating dashboards with Grafana
- Monitoring container CPU, memory, and network usage
- Setting up alerts for high resource consumption
- Tracing requests across microservices with Jaeger
- Collecting distributed traces with OpenTelemetry
- Using health endpoints for liveness detection
- Implementing log rotation and retention policies
- Correlating logs with request IDs and traces
- Debugging slow transactions in production
- Establishing SLOs and error budgets
- Generating operational reports for stakeholders
Module 11: Infrastructure as Code and Configuration Management - Defining infrastructure with Terraform for containers
- Provisioning cloud resources to host Kubernetes
- Managing state files securely in team environments
- Using variables and modules for reusable configurations
- Automating cluster creation with Terraform scripts
- Integrating Ansible playbooks for configuration drift
- Applying desired state configuration principles
- Bootstrapping nodes with custom initialization scripts
- Versioning infrastructure changes with Git
- Implementing policy as code with OPA
- Validating configurations before deployment
- Managing secrets with external vault integration
- Creating reusable environment templates
- Enabling audit trails for compliance reporting
- Facilitating peer review of infrastructure changes
- Documenting architecture decisions with ADRs
Module 12: Cloud-Native Ecosystem and Service Mesh Integration - Understanding service mesh architecture benefits
- Implementing Istio sidecar injection
- Routing traffic with virtual services
- Configuring destination rules for subsets
- Implementing request timeouts and retries
- Enabling circuit breaking for fault tolerance
- Securing service-to-service communication with mTLS
- Observing traffic flows with Kiali
- Managing access control with authorization policies
- Setting rate limits to prevent abuse
- Integrating with AWS App Mesh and Google Traffic Director
- Migrating from monolith to microservices safely
- Decomposing applications into bounded contexts
- Designing resilient APIs for container environments
- Using OpenAPI specifications for contract safety
- Validating payloads with schema enforcement
Module 13: High Availability and Disaster Recovery - Designing multi-zone Kubernetes clusters
- Replicating workloads across regions
- Setting up automated backups of cluster state
- Restoring clusters from backup snapshots
- Testing failover procedures with chaos engineering
- Using PodDisruptionBudgets to limit downtime
- Deploying applications with quorum-based voting
- Managing distributed coordination with etcd
- Securing backup data with encryption at rest
- Validating recovery point and time objectives
- Scheduling regular disaster recovery drills
- Designing for zero data loss scenarios
- Using shared storage for stateful failover
- Implementing DNS-based routing for region switching
- Monitoring replication lag and sync status
- Documenting incident response playbooks
Module 14: Real-World Implementation Projects - Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review
Module 15: Career Advancement and Certification Preparation - Mapping container skills to job roles and salaries
- Highlighting achievements on LinkedIn and resumes
- Preparing for technical interviews with container scenarios
- Answering situational questions about deployment failures
- Demonstrating security knowledge in professional settings
- Explaining orchestration choices clearly and confidently
- Building a personal portfolio of deployment projects
- Contributing to open-source container tools
- Joining professional communities and forums
- Staying current with CNCF announcements and trends
- Tracking emerging tools in the container ecosystem
- Planning career progression paths: DevOps, SRE, Cloud Architect
- Pursuing advanced certifications strategically
- Networking with industry professionals
- Presenting at meetups or internal tech talks
- Earning your Certificate of Completion issued by The Art of Service
- Understanding Kubernetes architecture and control plane
- Setting up a local Kubernetes cluster with Minikube
- Exploring kubectl command-line tool basics
- Deploying your first pod with YAML manifests
- Differentiating between pods, deployments, and replicasets
- Scaling applications with kubectl scale
- Managing rolling updates and rollbacks
- Exposing services with NodePort, ClusterIP, and LoadBalancer
- Using Ingress controllers for external access
- Configuring resource requests and limits for pods
- Defining liveness and readiness probes
- Managing configuration with ConfigMaps
- Handling sensitive data with Secrets objects
- Persisting data with PersistentVolumes and Claims
- Scheduling pods with taints, tolerations, and node selectors
- Monitoring cluster health with kubectl commands
Module 9: Advanced Kubernetes Patterns and Operations - Designing blue-green deployments in Kubernetes
- Implementing canary releases with service mesh integration
- Using Helm charts for repeatable application packaging
- Creating custom Helm templates and values files
- Managing complex configurations with Kustomize
- Deploying operators for stateful applications
- Implementing autoscaling with Horizontal Pod Autoscaler
- Configuring vertical scaling options
- Deploying daemonsets for cluster-wide agents
- Scheduling batch jobs and cron jobs securely
- Managing RBAC roles and permissions
- Implementing network policies for pod isolation
- Using init containers for setup tasks
- Graceful shutdown handling with preStop hooks
- Implementing sidecar containers for logging and monitoring
- Observing applications with metrics and event logs
Module 10: Monitoring, Logging, and Observability - Setting up centralized logging with ELK stack
- Streaming container logs to external systems
- Parsing structured logs with JSON format
- Aggregating metrics with Prometheus
- Exposing metrics endpoints in containers
- Creating dashboards with Grafana
- Monitoring container CPU, memory, and network usage
- Setting up alerts for high resource consumption
- Tracing requests across microservices with Jaeger
- Collecting distributed traces with OpenTelemetry
- Using health endpoints for liveness detection
- Implementing log rotation and retention policies
- Correlating logs with request IDs and traces
- Debugging slow transactions in production
- Establishing SLOs and error budgets
- Generating operational reports for stakeholders
Module 11: Infrastructure as Code and Configuration Management - Defining infrastructure with Terraform for containers
- Provisioning cloud resources to host Kubernetes
- Managing state files securely in team environments
- Using variables and modules for reusable configurations
- Automating cluster creation with Terraform scripts
- Integrating Ansible playbooks for configuration drift
- Applying desired state configuration principles
- Bootstrapping nodes with custom initialization scripts
- Versioning infrastructure changes with Git
- Implementing policy as code with OPA
- Validating configurations before deployment
- Managing secrets with external vault integration
- Creating reusable environment templates
- Enabling audit trails for compliance reporting
- Facilitating peer review of infrastructure changes
- Documenting architecture decisions with ADRs
Module 12: Cloud-Native Ecosystem and Service Mesh Integration - Understanding service mesh architecture benefits
- Implementing Istio sidecar injection
- Routing traffic with virtual services
- Configuring destination rules for subsets
- Implementing request timeouts and retries
- Enabling circuit breaking for fault tolerance
- Securing service-to-service communication with mTLS
- Observing traffic flows with Kiali
- Managing access control with authorization policies
- Setting rate limits to prevent abuse
- Integrating with AWS App Mesh and Google Traffic Director
- Migrating from monolith to microservices safely
- Decomposing applications into bounded contexts
- Designing resilient APIs for container environments
- Using OpenAPI specifications for contract safety
- Validating payloads with schema enforcement
Module 13: High Availability and Disaster Recovery - Designing multi-zone Kubernetes clusters
- Replicating workloads across regions
- Setting up automated backups of cluster state
- Restoring clusters from backup snapshots
- Testing failover procedures with chaos engineering
- Using PodDisruptionBudgets to limit downtime
- Deploying applications with quorum-based voting
- Managing distributed coordination with etcd
- Securing backup data with encryption at rest
- Validating recovery point and time objectives
- Scheduling regular disaster recovery drills
- Designing for zero data loss scenarios
- Using shared storage for stateful failover
- Implementing DNS-based routing for region switching
- Monitoring replication lag and sync status
- Documenting incident response playbooks
Module 14: Real-World Implementation Projects - Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review
Module 15: Career Advancement and Certification Preparation - Mapping container skills to job roles and salaries
- Highlighting achievements on LinkedIn and resumes
- Preparing for technical interviews with container scenarios
- Answering situational questions about deployment failures
- Demonstrating security knowledge in professional settings
- Explaining orchestration choices clearly and confidently
- Building a personal portfolio of deployment projects
- Contributing to open-source container tools
- Joining professional communities and forums
- Staying current with CNCF announcements and trends
- Tracking emerging tools in the container ecosystem
- Planning career progression paths: DevOps, SRE, Cloud Architect
- Pursuing advanced certifications strategically
- Networking with industry professionals
- Presenting at meetups or internal tech talks
- Earning your Certificate of Completion issued by The Art of Service
- Setting up centralized logging with ELK stack
- Streaming container logs to external systems
- Parsing structured logs with JSON format
- Aggregating metrics with Prometheus
- Exposing metrics endpoints in containers
- Creating dashboards with Grafana
- Monitoring container CPU, memory, and network usage
- Setting up alerts for high resource consumption
- Tracing requests across microservices with Jaeger
- Collecting distributed traces with OpenTelemetry
- Using health endpoints for liveness detection
- Implementing log rotation and retention policies
- Correlating logs with request IDs and traces
- Debugging slow transactions in production
- Establishing SLOs and error budgets
- Generating operational reports for stakeholders
Module 11: Infrastructure as Code and Configuration Management - Defining infrastructure with Terraform for containers
- Provisioning cloud resources to host Kubernetes
- Managing state files securely in team environments
- Using variables and modules for reusable configurations
- Automating cluster creation with Terraform scripts
- Integrating Ansible playbooks for configuration drift
- Applying desired state configuration principles
- Bootstrapping nodes with custom initialization scripts
- Versioning infrastructure changes with Git
- Implementing policy as code with OPA
- Validating configurations before deployment
- Managing secrets with external vault integration
- Creating reusable environment templates
- Enabling audit trails for compliance reporting
- Facilitating peer review of infrastructure changes
- Documenting architecture decisions with ADRs
Module 12: Cloud-Native Ecosystem and Service Mesh Integration - Understanding service mesh architecture benefits
- Implementing Istio sidecar injection
- Routing traffic with virtual services
- Configuring destination rules for subsets
- Implementing request timeouts and retries
- Enabling circuit breaking for fault tolerance
- Securing service-to-service communication with mTLS
- Observing traffic flows with Kiali
- Managing access control with authorization policies
- Setting rate limits to prevent abuse
- Integrating with AWS App Mesh and Google Traffic Director
- Migrating from monolith to microservices safely
- Decomposing applications into bounded contexts
- Designing resilient APIs for container environments
- Using OpenAPI specifications for contract safety
- Validating payloads with schema enforcement
Module 13: High Availability and Disaster Recovery - Designing multi-zone Kubernetes clusters
- Replicating workloads across regions
- Setting up automated backups of cluster state
- Restoring clusters from backup snapshots
- Testing failover procedures with chaos engineering
- Using PodDisruptionBudgets to limit downtime
- Deploying applications with quorum-based voting
- Managing distributed coordination with etcd
- Securing backup data with encryption at rest
- Validating recovery point and time objectives
- Scheduling regular disaster recovery drills
- Designing for zero data loss scenarios
- Using shared storage for stateful failover
- Implementing DNS-based routing for region switching
- Monitoring replication lag and sync status
- Documenting incident response playbooks
Module 14: Real-World Implementation Projects - Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review
Module 15: Career Advancement and Certification Preparation - Mapping container skills to job roles and salaries
- Highlighting achievements on LinkedIn and resumes
- Preparing for technical interviews with container scenarios
- Answering situational questions about deployment failures
- Demonstrating security knowledge in professional settings
- Explaining orchestration choices clearly and confidently
- Building a personal portfolio of deployment projects
- Contributing to open-source container tools
- Joining professional communities and forums
- Staying current with CNCF announcements and trends
- Tracking emerging tools in the container ecosystem
- Planning career progression paths: DevOps, SRE, Cloud Architect
- Pursuing advanced certifications strategically
- Networking with industry professionals
- Presenting at meetups or internal tech talks
- Earning your Certificate of Completion issued by The Art of Service
- Understanding service mesh architecture benefits
- Implementing Istio sidecar injection
- Routing traffic with virtual services
- Configuring destination rules for subsets
- Implementing request timeouts and retries
- Enabling circuit breaking for fault tolerance
- Securing service-to-service communication with mTLS
- Observing traffic flows with Kiali
- Managing access control with authorization policies
- Setting rate limits to prevent abuse
- Integrating with AWS App Mesh and Google Traffic Director
- Migrating from monolith to microservices safely
- Decomposing applications into bounded contexts
- Designing resilient APIs for container environments
- Using OpenAPI specifications for contract safety
- Validating payloads with schema enforcement
Module 13: High Availability and Disaster Recovery - Designing multi-zone Kubernetes clusters
- Replicating workloads across regions
- Setting up automated backups of cluster state
- Restoring clusters from backup snapshots
- Testing failover procedures with chaos engineering
- Using PodDisruptionBudgets to limit downtime
- Deploying applications with quorum-based voting
- Managing distributed coordination with etcd
- Securing backup data with encryption at rest
- Validating recovery point and time objectives
- Scheduling regular disaster recovery drills
- Designing for zero data loss scenarios
- Using shared storage for stateful failover
- Implementing DNS-based routing for region switching
- Monitoring replication lag and sync status
- Documenting incident response playbooks
Module 14: Real-World Implementation Projects - Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review
Module 15: Career Advancement and Certification Preparation - Mapping container skills to job roles and salaries
- Highlighting achievements on LinkedIn and resumes
- Preparing for technical interviews with container scenarios
- Answering situational questions about deployment failures
- Demonstrating security knowledge in professional settings
- Explaining orchestration choices clearly and confidently
- Building a personal portfolio of deployment projects
- Contributing to open-source container tools
- Joining professional communities and forums
- Staying current with CNCF announcements and trends
- Tracking emerging tools in the container ecosystem
- Planning career progression paths: DevOps, SRE, Cloud Architect
- Pursuing advanced certifications strategically
- Networking with industry professionals
- Presenting at meetups or internal tech talks
- Earning your Certificate of Completion issued by The Art of Service
- Deploying a full-stack web application using containers
- Containerizing a legacy monolithic application
- Migrating an existing API to Docker and Compose
- Automating builds with GitHub Actions integration
- Deploying to a cloud provider using Kubernetes
- Setting up monitoring with Prometheus and Grafana
- Configuring centralized logging with Fluentd
- Securing the application with TLS and secrets
- Implementing health checks and auto-recovery
- Scaling under simulated load conditions
- Performing zero-downtime rolling updates
- Rolling back after a failed deployment
- Setting up CI/CD gates for quality assurance
- Generating deployment reports and dashboards
- Documenting architecture and operational procedures
- Presenting the project for peer review