MIGRATING FROM KAFKA TO REDPANDA

Migrate from Apache Kafka to Redpanda with confidence, zero downtime, and proven production strategies.

Apache Kafka has served your streaming infrastructure well, but operational complexity, ZooKeeper dependencies, and scaling challenges are slowing your team down. Redpanda offers Kafka API compatibility with a simpler architecture, but migration risks can derail even the best-planned cutover. This book gives you the decision framework, technical depth, and battle-tested runbooks to execute a successful migration without disrupting your production systems.

Written for data engineers, platform architects, and SREs managing streaming infrastructure, this guide walks you through every phase of migration: from evaluating whether Redpanda fits your workload to executing zero-downtime cutovers with rollback plans. You'll understand Redpanda's Seastar thread-per-core model, Raft-based consensus, and storage engine behavior, then apply that knowledge to capacity planning, security hardening, and performance tuning.

What You'll Learn:

• When migration makes business and technical sense, with workload and organizational signals that justify the move
• Redpanda's architecture fundamentals: Seastar's thread-per-core design, Raft for metadata and partitions, and storage engine behavior
• Kafka API compatibility in practice, including transactions, exactly-once semantics, quotas, and known protocol differences
• Production-ready security: TLS and mTLS listener setup, SASL with SCRAM, ACL templates, Schema Registry authorization, and audit logging routed to SIEM
• Tiered storage configuration with object store integration, retention policy math, local cache sizing, and remote read replica patterns
• Capacity planning rules: full-core-only CPU allocation, memory-per-core guidance, NVMe and XFS filesystem choices, and replication factor impact
• Kubernetes deployment with Operators and Helm: CRDs, day-2 lifecycle management, listener configuration, and safe scale events
• Migration strategies that preserve data integrity: MirrorMaker 2 with offset translation, Redpanda Migrator pipelines, dual-write patterns, and data verification
• Zero-downtime cutover runbooks with pre-cutover checklists, controlled consumer switchover, producer flip monitoring, and rollback steps
• Performance engineering: benchmark design that mirrors production workloads, running Kafka perf tools against Redpanda, and bottleneck triage
• Observability: p50 to p99 latency tracking, consumer lag monitoring, Redpanda Console setup with RBAC, and noisy neighbor containment
• Disaster recovery planning with realistic RPO and RTO targets, multi-region patterns, and backup procedures

Every migration decision is backed by working configuration examples and code illustrations. You'll see Java client, librdkafka, and franz-go integration, producer and consumer settings that prove exactly-once semantics, SASL and ACL templates, Helm and Operator manifests, and complete cutover scripts with validation checkpoints.

This isn't a marketing pitch for Redpanda. It's a pragmatic engineering guide that respects the risks of migration. You'll learn when Redpanda's architecture solves real problems, when Kafka remains the better choice, and how to design a migration that your team can execute with confidence.

Grab your copy today and migrate your streaming infrastructure with zero downtime.