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Course Outline

Essentials of Kafka Administration

  • The role of Kafka within a modern data platform and typical production responsibilities
  • Core concepts for operators: brokers, topics, partitions, offsets, and consumer groups
  • Fundamentals of replication: 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 policies, and future growth
  • Node roles and layouts: combined versus dedicated controllers, and fault domain considerations
  • Lab: Inspect KRaft metadata, validate quorum health, and interpret controller logs

Installation, Configuration, and Day-to-Day Operations

  • Installation methods (packages, tarball, containers) and standardization in enterprise environments
  • Core broker configuration impacting reliability: listeners, replication, log directories, and retention
  • Safe service operations: startup sequence, graceful shutdown, and validation checks
  • Lab: Deploy a multi-node cluster, verify broker registration, and confirm baseline produce and consume functionality

Managing Topics, Partitions, and Data Placement

  • Topic lifecycle management using the Kafka CLI: create, describe, update configurations, and delete
  • Selecting partitions and replication factors for real-world workloads, including identification of common anti-patterns
  • Reassignments and balancing: determining when to move partitions and verifying progress safely
  • Lab: Create topics, trigger a partition reassignment, simulate a broker outage, and confirm recovery

Securing Kafka for Production

  • TLS for client and inter-broker traffic: certificates, trust chains, and validation steps
  • Authentication with SASL: selecting common mechanisms and avoiding misconfiguration
  • Authorization with ACLs: implementing least-privilege patterns for admins, producers, and consumers
  • Lab: Enable TLS and SASL, validate client connectivity, and apply 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: interpreting broker logs and exposing metrics via JMX exporter to common observability stacks
  • Operational playbooks: rolling restarts, safe configuration changes, and handling disk-full and ISR issues
  • Lab: Build a minimal alert set, diagnose a degraded cluster, and restore healthy replication

Upgrades and Disaster Recovery Readiness

  • Upgrade planning for Kafka: compatibility checks, staging, and rollback strategies
  • Backup and recovery expectations: what can be backed up, what cannot, and basics of configuration recovery
  • Cross-cluster replication overview and when to use MirrorMaker 2 for disaster recovery and migrations
  • Wrap-up: operational checklist, handover artifacts, and next steps for production rollout

Requirements

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

Audience

  • Kafka administrators and platform engineers responsible for the operation of 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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