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Private Cloud in DevOps

Private Cloud in DevOps

$249.00
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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.
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