What does the Private Cloud in DevOps course cover?
Private Cloud in DevOps is covered here in 8 modules: Defining Private Cloud Architecture for DevOps Integration, Infrastructure as Code (IaC) Implementation at Scale, CI/CD Pipeline Integration with Private Cloud Resources and 5 more. The outline lists 48 specific topics, opening with selecting hypervisor technology (e.g., VMware vSphere vs. KVM) based on existing virtualization expertise and support requirements.
How do you approach Private Cloud in DevOps step by step?
The work is sequenced in 8 stages. It starts with Defining Private Cloud Architecture for DevOps Integration, moves through Infrastructure as Code (IaC) Implementation at Scale and CI/CD Pipeline Integration with Private Cloud Resources, and ends at Operational Governance and Cost Management. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Private Cloud in DevOps course?
Module 1 is Defining Private Cloud Architecture for DevOps Integration. It works through selecting hypervisor technology (e.g., VMware vSphere vs. KVM) based on existing virtualization expertise and support requirements., designing network segmentation using VLANs or VXLANs to isolate development, staging, and production environments., implementing centralized identity management via LDAP/Active Directory integration for consistent access control. and 3 more.
How is the Private Cloud in DevOps course delivered?
The Private Cloud in DevOps course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Private Cloud in DevOps course cost?
The Private Cloud in DevOps course is $251 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Private Cloud Toolkit, Private Cloud in Cloud Migration, Virtual Private Cloud Toolkit, Managed Private Cloud Toolkit.
More answers: what you get with every course, refund policy, all help answers.
This curriculum spans the technical and operational rigor of a multi-workshop infrastructure modernization program, addressing the same private cloud and DevOps integration challenges typically tackled in enterprise advisory engagements.
Module 1: Defining Private Cloud Architecture for DevOps Integration
- Selecting hypervisor technology (e.g., VMware vSphere vs. KVM) based on existing virtualization expertise and support requirements.
- Designing network segmentation using VLANs or VXLANs to isolate development, staging, and production environments.
- Implementing centralized identity management via LDAP/Active Directory integration for consistent access control.
- Deciding between converged vs. hyper-converged infrastructure based on scalability and operational maintenance constraints.
- Allocating resource pools with reservations and limits to prevent noisy neighbor issues across teams.
- Establishing tagging standards for VMs and containers to enable cost tracking and lifecycle automation.
Module 2: Infrastructure as Code (IaC) Implementation at Scale
- Choosing between Terraform and proprietary tools (e.g., vRealize Automation) based on multi-cloud readiness and team proficiency.
- Structuring Terraform modules to support environment promotion (dev → test → prod) with minimal duplication.
- Managing state files securely using remote backends with role-based access and audit logging.
- Enforcing IaC standards through pre-commit hooks and CI pipeline validation using tools like Checkov or tflint.
- Versioning infrastructure configurations in Git with branching strategies aligned to release cycles.
- Handling drift detection and reconciliation policies when manual changes bypass IaC workflows.
Module 3: CI/CD Pipeline Integration with Private Cloud Resources
- Provisioning ephemeral build environments per pipeline run to ensure isolation and repeatability.
- Configuring Jenkins or GitLab runners on dedicated VMs with constrained resource quotas.
- Integrating artifact promotion with VM image baking using Packer in a signed and scanned workflow.
- Managing secrets for pipeline jobs using HashiCorp Vault with short-lived credentials.
- Orchestrating blue-green deployments of VM-based applications using load balancer reconfiguration scripts.
- Enabling pipeline rollback by maintaining versioned OVA templates in a private image repository.
Module 4: Container Orchestration and Hybrid Workload Management
- Deploying Kubernetes clusters on private cloud VMs using Rancher or Tanzu, including CNI and CSI plugin selection.
- Integrating container registries (e.g., Harbor) with image scanning and admission control policies.
- Configuring node autoscaling based on cluster utilization while respecting private cloud resource quotas.
- Managing persistent storage for stateful workloads using NFS-backed PVs or enterprise storage integrations.
- Enforcing network policies to restrict pod-to-pod communication across namespaces.
- Maintaining hybrid deployments where some services run in containers and others on traditional VMs.
Module 5: Security and Compliance Governance
- Implementing firewall rules at the hypervisor and guest level using distributed firewalls or NSX.
- Conducting regular VM and container image vulnerability scans integrated into patch management workflows.
- Enforcing encryption of VM disks and container registry artifacts using KMS-integrated solutions.
- Designing audit trails for administrative actions via vCenter logging and SIEM integration.
- Applying least-privilege access controls for self-service portals using RBAC tied to AD groups.
- Aligning VM provisioning workflows with compliance frameworks (e.g., SOC 2, HIPAA) through policy-as-code checks.
Module 6: Monitoring, Logging, and Performance Optimization
- Deploying centralized logging agents (e.g., Fluentd, Filebeat) across VMs and containers with log retention policies.
- Configuring Prometheus and Grafana for monitoring VM and Kubernetes cluster health with alerting thresholds.
- Correlating infrastructure metrics with application performance data using distributed tracing.
- Setting up synthetic transaction monitoring to detect degradation in private cloud-hosted services.
- Allocating monitoring resources on dedicated VMs to avoid impacting production workloads.
- Establishing baseline performance profiles for VM templates to detect configuration drift or resource bottlenecks.
Module 7: Disaster Recovery and Business Continuity Planning
- Designing VM replication schedules and RPOs between primary and secondary private cloud sites.
- Testing failover procedures for critical applications without disrupting production traffic.
- Automating backup validation through scripted restoration of database snapshots in isolated environments.
- Integrating DNS and load balancer reconfiguration into failover runbooks.
- Documenting recovery priorities and dependencies for interdependent DevOps services.
- Maintaining offline backups of encryption keys and configuration repositories for air-gapped recovery.
Module 8: Operational Governance and Cost Management
- Implementing chargeback or showback models using tagging and resource usage telemetry from vCenter.
- Setting automated shutdown policies for non-production VMs during off-hours to reduce resource consumption.
- Establishing VM lifecycle policies with automated decommissioning after inactivity thresholds.
- Conducting quarterly architecture reviews to identify underutilized VMs and over-provisioned resources.
- Managing software licensing costs for guest OS and middleware in dynamically provisioned environments.
- Developing escalation paths and SLAs for infrastructure support teams handling DevOps team requests.