Kafka Troubleshooting in Production (PDF)

Name: Kafka Troubleshooting in Production
Brand: APress
SKU: 151940004
Price: 38.03 EUR
Availability: OnlineOnly

Stabilizing Kafka Clusters in the Cloud and On-premises (Sprache: Englisch)

Autor: Elad Eldor

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Kafka Troubleshooting in Production, Elad Eldor

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This book provides Kafka administrators, site reliability engineers, and DataOps and DevOps practitioners with a list of real production issues that can occur in Kafka clusters and how to solve them. The production issues covered are assembled into a comprehensive troubleshooting guide for those engineers who are responsible for the stability and performance of Kafka clusters in production, whether those clusters are deployed in the cloud or on-premises. This book teaches you how to detect and troubleshoot the issues, and eventually how to prevent them.

Kafka stability is hard to achieve, especially in high throughput environments, and the purpose of this book is not only to make troubleshooting easier, but also to prevent production issues from occurring in the first place. The guidance in this book is drawn from the author's years of experience in helping clients and internal customers diagnose and resolve knotty production problems and stabilize their Kafka environments. The book is organized into recipe-style troubleshooting checklists that field engineers can easily follow when under pressure to fix an unstable cluster. This is the book you will want by your side when the stakes are high, and your job is on the line.

You will:

Monitor and resolve production issues in your Kafka clusters
Provision Kafka clusters with the lowest costs and still handle the required loads
Perform root cause analyses of issues affecting your Kafka clusters
Know the ways in which your Kafka cluster can affect its consumers and producers
Prevent or minimize data loss and delays in data streaming
Forestall production issues through an understanding of common failure points
Create checklists for troubleshooting your Kafka clusters when problems occur

Autoren-Porträt von Elad Eldor

Elad Eldor is a DataOps team leader in the Grow division of Unity (formerly ironSource), working on handling stability issues, improving performance, and reducing the cost of high-scale Kafka, Druid, Presto, and Spark clusters on AWS. He has 12 years of experience as a backend software engineer and six years handling DataOps of big data Linux-based clusters.

Prior to working at Unity, Elad was a Site Reliability Engineer (SRE) at Cognyte, where he developed big data applications and handled the reliability and scalability of Spark and Kafka clusters in production. His main interests are performance tuning and cost reduction of big data clusters.