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Optimizing Your Apache Kafka Deployment

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Optimize Kafka for Throughput, Latency, Durability, and Availability

Apache Kafka® is a powerful stream processing platform built for real-time data ingestion, data integration, messaging, and pub sub at scale. To maximize all the features Kafka has to offer, this white paper discusses all best practices for Kafka setup, configuration, and monitoring. It is intended for Kafka administrators and developers planning to deploy Kafka in production.

Learn Kafka Best Practices:

  • How to optimize Kafka deployments for various service goals
  • How to decide which services goals to optimize based on business requirements
  • How to tune Kafka brokers, producers, consumers, and event streaming applications to meet each service goal
  • Tradeoffs between different configuration settings
  • An overview of Kafka benchmark testing
  • Useful metrics to monitor Kafka performance and cluster health

Author:

Yeva Byzek, Integration Architect, Confluent

Yeva Byzek is an integration architect at Confluent designing solutions and building demos for developers and operators of Apache Kafka. She has many years of experience validating and optimizing end-to-end solutions for distributed software systems and networks.

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Free Forever on a Single Kafka Broker
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The software will allow unlimited-time usage of commercial features on a single Kafka broker. Upon adding a second broker, a 30-day timer will automatically start on commercial features, which cannot be reset by moving back to one broker.

Select Deployment Type
Manual Deployment
  • tar
  • zip
  • deb
  • rpm
  • docker
or
Auto Deployment
  • kubernetes
  • ansible

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