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Red Hat in DevOps

Red Hat in DevOps

$251.00
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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.
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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.
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