Skip to main content
Red Hat in DevOps

Red Hat in DevOps

$250.00
Your guarantee:
30-day money-back guarantee — no questions asked
When you get access:
Course access is prepared after purchase and delivered via email
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
Who trusts this:
Trusted by professionals in 160+ countries
How you learn:
Self-paced • Lifetime updates
Adding to cart… The item has been added

What does the Red Hat in DevOps course cover?

Red Hat in DevOps is covered here in 8 modules: Integrating Red Hat Enterprise Linux into DevOps Pipelines, Red Hat OpenShift for Application Deployment and Scaling, Security and Compliance in Red Hat DevOps Environments and 5 more. The outline lists 48 specific topics, opening with selecting appropriate RHEL base images for containerized applications based on support lifecycle, security patching frequency, and minimal.

How do you approach Red Hat in DevOps step by step?

The work is sequenced in 8 stages. It starts with Integrating Red Hat Enterprise Linux into DevOps Pipelines, moves through Red Hat OpenShift for Application Deployment and Scaling and Security and Compliance in Red Hat DevOps Environments, and ends at Integration with Enterprise Systems and Legacy Applications. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Red Hat in DevOps course?

Module 1 is Integrating Red Hat Enterprise Linux into DevOps Pipelines. It works through selecting appropriate RHEL base images for containerized applications based on support lifecycle, security patching frequency, and minimal footprint requirements., configuring RHEL systems with consistent, automated provisioning using Ansible playbooks while maintaining compliance with organizational security baselines., managing subscription and entitlement deployment across hybrid cloud and on-premises environments to.

How is the Red Hat in DevOps course delivered?

The Red Hat 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 Red Hat in DevOps course cost?

The Red Hat in DevOps course is $247 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: Red Hat Ansible Toolkit, Red Hat OpenShift Toolkit, Red Hat Enterprise Toolkit, Red Hat Certified Architect Toolkit.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the technical breadth of a multi-workshop program focused on integrating Red Hat technologies into enterprise DevOps practices, covering pipeline integration, cluster management, security enforcement, and hybrid operations at the scale of real-world advisory engagements.

Module 1: Integrating Red Hat Enterprise Linux into DevOps Pipelines

  • Selecting appropriate RHEL base images for containerized applications based on support lifecycle, security patching frequency, and minimal footprint requirements.
  • Configuring RHEL systems with consistent, automated provisioning using Ansible playbooks while maintaining compliance with organizational security baselines.
  • Managing subscription and entitlement deployment across hybrid cloud and on-premises environments to avoid service disruption during CI/CD execution.
  • Implementing secure boot and SELinux policies on RHEL hosts without breaking application deployment workflows or container runtimes.
  • Integrating RHEL system updates into CI/CD pipelines using staged rollouts and automated rollback triggers based on health checks.
  • Aligning RHEL minor version upgrades with application release cycles to minimize compatibility risks in production environments.

Module 2: Red Hat OpenShift for Application Deployment and Scaling

  • Designing project and namespace strategies in OpenShift to enforce resource quotas, network policies, and access controls across teams.
  • Configuring image streams and internal registry integration to manage versioned application artifacts across development, staging, and production.
  • Implementing health checks and readiness probes in deployment configurations to ensure reliable rolling updates and zero-downtime deployments.
  • Evaluating the trade-offs between using Helm charts and native OpenShift templates for managing complex application deployments.
  • Setting up cluster autoscaling policies based on historical workload patterns while managing node provisioning costs in public cloud environments.
  • Integrating OpenShift with external monitoring tools using Prometheus exporters and custom metrics for application-level autoscaling.

Module 3: Security and Compliance in Red Hat DevOps Environments

  • Enforcing image vulnerability scanning in OpenShift pipelines using Red Hat Quay or third-party scanners with policy-based admission controls.
  • Implementing role-based access control (RBAC) in OpenShift clusters to separate developer, operator, and auditor responsibilities.
  • Configuring FIPS-compliant cryptographic modules on RHEL nodes when operating in regulated industries such as finance or healthcare.
  • Managing secrets using OpenShift secrets and integration with HashiCorp Vault while minimizing exposure in logs and configuration files.
  • Conducting regular security posture assessments using OpenSCAP on RHEL hosts and remediating findings through automated playbooks.
  • Designing audit trails for OpenShift API access and RHEL system log aggregation to meet compliance requirements like PCI-DSS or HIPAA.

Module 4: CI/CD Pipeline Design with Red Hat OpenShift Pipelines and GitOps

  • Choosing between OpenShift Pipelines (Tekton) and Jenkins for pipeline orchestration based on scalability, maintenance overhead, and team expertise.
  • Structuring Git repositories to support GitOps workflows using Argo CD or OpenShift GitOps with environment-specific manifests.
  • Implementing pipeline parameterization to support parallel testing across multiple RHEL and OpenShift versions.
  • Securing pipeline service accounts with minimal privileges and rotating credentials using automated rotation mechanisms.
  • Integrating static code analysis and dependency scanning tools into pipelines using Red Hat CodeReady Workspaces or external IDEs.
  • Designing rollback procedures for failed deployments using Git-based reconciliation and immutable artifact references.

Module 5: Observability and Day-2 Operations in Red Hat Ecosystems

  • Deploying and configuring Red Hat OpenShift Logging (formerly EFK stack) to centralize logs while managing storage costs and retention policies.
  • Integrating application metrics with Red Hat OpenShift Monitoring and custom dashboards in Grafana for performance troubleshooting.
  • Setting up alerting rules in Prometheus to detect abnormal pod behavior, node saturation, or service degradation.
  • Using OpenShift debug pods and remote debugging techniques to diagnose issues in production without compromising security.
  • Planning for cluster upgrades by testing control plane and worker node updates in a staging environment with production-like workloads.
  • Managing etcd backups and disaster recovery procedures for OpenShift clusters to ensure cluster state restoration within RPO targets.

Module 6: Hybrid Cloud and Multi-Cluster Management with Red Hat Advanced Cluster Management

  • Defining governance policies in Red Hat ACM to enforce cluster configurations, security settings, and compliance across distributed clusters.
  • Implementing application placement rules to deploy workloads to specific clusters based on data residency, latency, or regulatory constraints.
  • Synchronizing configuration drift detection across clusters using ACM's policy controller and initiating automated remediation.
  • Managing certificate lifecycle for ingress endpoints across multiple clusters using centralized ACM policies and cert-manager integration.
  • Designing network topologies for multi-cluster communication using ACM-managed service meshes or gateway-based routing.
  • Scaling cluster provisioning workflows using ACM's cluster lifecycle management and infrastructure-as-code templates.

Module 7: Performance Optimization and Cost Management

  • Right-sizing OpenShift worker nodes based on application memory, CPU, and I/O patterns to balance performance and infrastructure costs.
  • Implementing vertical and horizontal pod autoscaling with custom metrics while avoiding thrashing under variable workloads.
  • Optimizing container image layers and base images to reduce pull times and storage consumption in registry and nodes.
  • Monitoring and controlling storage consumption using dynamic provisioning and reclaim policies for persistent volumes.
  • Using OpenShift Topology view and resource quotas to identify and manage resource-hungry development namespaces.
  • Conducting performance benchmarking of CI/CD pipelines to identify bottlenecks in build, test, and deployment stages.

Module 8: Integration with Enterprise Systems and Legacy Applications

  • Designing service mesh integration using Red Hat OpenShift Service Mesh to connect modern microservices with legacy backend systems.
  • Implementing API gateways to expose OpenShift-hosted services to mainframe and monolithic applications using secure protocols.
  • Migrating stateful legacy applications to OpenShift by containerizing with minimal refactoring and managing persistent storage requirements.
  • Integrating OpenShift with enterprise identity providers such as Active Directory or LDAP for centralized user authentication.
  • Establishing secure interconnectivity between on-premises RHEL systems and cloud-based OpenShift clusters using site-to-site VPNs or SD-WAN.
  • Managing coexistence of traditional RHEL VM workloads and containerized applications during phased migration to OpenShift.
!