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Course Outline

Kafka Administration Essentials

  • Understanding where Kafka fits within a modern data platform and the typical responsibilities of production operations.
  • Core concepts for operators: brokers, topics, partitions, offsets, and consumer groups.
  • Replication fundamentals: leaders and followers, in-sync replicas, and availability trade-offs.
  • Key operational highlights and common terminology found in runbooks.

KRaft Mode and Cluster Design

  • KRaft basics: controllers, metadata quorum, elections, and their operational significance.
  • Deployment planning: sizing for throughput, partitions, retention periods, and future growth.
  • Node roles and layouts: combined versus dedicated controllers, with considerations for fault domains.
  • Lab: inspecting KRaft metadata, validating quorum health, and interpreting controller logs.

Installation, Configuration, and Day-to-Day Operations

  • Installation approaches (packages, tarballs, containers) and standardization strategies for enterprise environments.
  • Core broker configuration affecting reliability: listeners, replication settings, log directories, and retention policies.
  • Safe service operations: startup sequences, graceful shutdowns, and validation checks.
  • Lab: deploying a multi-node cluster, verifying broker registration, and confirming baseline produce and consume operations.

Managing Topics, Partitions, and Data Placement

  • Topic lifecycle management using the Kafka CLI: creating, describing, updating configurations, and deleting.
  • Selecting partitions and replication factors for real-world workloads, including identifying common anti-patterns.
  • Reassignments and balancing: determining when to move partitions and verifying progress safely.
  • Lab: creating topics, triggering a partition reassignment, simulating a broker outage, and confirming recovery.

Securing Kafka for Production

  • TLS for client and inter-broker traffic: managing certificates, trust chains, and validation steps.
  • Authentication with SASL: selecting appropriate mechanisms and avoiding misconfiguration.
  • Authorization with ACLs: implementing least-privilege patterns for administrators, producers, and consumers.
  • Lab: enabling TLS and SASL, validating client connectivity, and applying ACLs for application roles.

Observability, Reliability, and Troubleshooting

  • Monitoring essentials: controller health, under-replicated partitions, request latency, and disk and network saturation.
  • Logs and metrics: reading broker logs and exposing metrics via the JMX exporter to common observability stacks.
  • Operational playbooks: performing rolling restarts, applying safe configuration changes, and handling disk-full and ISR issues.
  • Lab: building a minimal alert set, diagnosing a degraded cluster, and restoring healthy replication.

Upgrades and Disaster Recovery Readiness

  • Upgrade planning for Kafka: conducting compatibility checks, staging, and defining rollback approaches.
  • Backups and recovery expectations: understanding what can be backed up, what cannot, and the basics of configuration recovery.
  • Overview of cross-cluster replication and when to utilize MirrorMaker 2 for disaster recovery and migrations.
  • Wrap-up: operational checklists, handover artifacts, and next steps for production rollout.

Requirements

  • A solid understanding of basic Linux administration (users, services, files, and permissions).
  • Experience with TCP/IP networking concepts (DNS, ports, firewalls, and load balancers).
  • Basic scripting experience (Bash, PowerShell, or similar) for routine operational tasks.

Audience

  • Kafka administrators and platform engineers responsible for operating Kafka clusters.
  • Site reliability engineers and DevOps engineers supporting streaming platforms.
  • Infrastructure and operations teams deploying new KRaft-based Kafka clusters or migrating from ZooKeeper.
 21 Hours

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