Cluster Operations
Content
Core cluster lifecycle operations that SREs manage:
Cluster Updates
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Update Planning: Plan OpenShift cluster updates including scheduling, testing, and rollback strategies
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Pre-update Validation: Verify cluster health, node readiness, and workload compatibility before updates
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Rolling Updates: Execute cluster updates using machine config pools and staged rollouts
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Update Channels: Manage update channels (stable, fast, candidate) and version targeting
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Post-update Verification: Validate cluster functionality and workload health after updates
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Update Rollbacks: Execute rollback procedures when updates fail or cause issues
Node Addition and Removal
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Node Scaling: Add worker nodes to increase cluster capacity based on resource demands
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Infrastructure Nodes: Add dedicated infrastructure nodes for OpenShift components (registry, monitoring, logging)
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Node Draining: Safely drain nodes before removal to migrate workloads without disruption
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Node Cordoning: Cordon nodes to prevent new pod scheduling during maintenance or removal
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Machine Sets: Manage machine sets to automate node provisioning and replacement
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Node Decommissioning: Properly remove nodes from the cluster and clean up associated resources
Node Image Management
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Operating System Updates: Apply RHEL CoreOS updates through machine config operators
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Base Image Rotation: Manage base node image updates and security patches
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Machine Config Pools: Configure and manage machine config pools for different node types
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Image Validation: Test new node images in development before production deployment
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Rollback Procedures: Maintain ability to rollback to previous node images when issues occur
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Custom Machine Configs: Create and manage custom machine configurations for specific requirements
Device Management
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GPU Resources: Configure and manage GPU nodes using NVIDIA GPU Operator or AMD GPU drivers
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Device Plugins: Deploy and maintain Kubernetes device plugins for specialized hardware
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Network Interfaces: Manage SR-IOV network devices and high-performance networking configurations
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Resource Allocation: Configure device resource limits and scheduling for GPU/FPGA workloads
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Driver Management: Maintain device drivers through machine configs and operator deployments
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Device Monitoring: Monitor device utilization, temperature, and health status across nodes
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Hardware Compatibility: Validate hardware compatibility and manage device firmware updates