| Description |
1 online resource (xx, 216 pages) : illustrations (chiefly color) |
| Note |
Includes index. |
| Summary |
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. |
| Contents |
1. Storage Usage in Kafka: Challenges, Strategies and Best Practices -- 2. Strategies for Aggregation, Data Cardinality and Batching -- 3. Understanding and Addressing Partition Skew in Kafka -- 4. Dealing with Skewed and Lost Leaders -- 5. CPU Saturation in Kafka: Causes, Consequences and Solutions -- 6. RAM Allocation in Kafka Clusters: Performance, Stability and Optimization Strategies -- 7. Disk IO Overload in Kafka: Diagnosing and Overcoming Challenges -- 8. Disk Configuration: RAID10 vs. JBOD -- 9 A Deep Dive into Producer Monitoring -- 10. A Deep Dive into Consumer Monitoring -- 11. Stability issues in On-premises Kafka Data Centers -- 12. Cost Reduction of Kafka Clusters. |
| Subject |
Kafka (Electronic resource)
|
|
Big data.
|
|
Cloud computing.
|
|
Données volumineuses. |
|
Infonuagique. |
|
Big data |
|
Cloud computing |
| Genre |
Electronic books.
|
| Other Form: |
Print version: ELDOR, ELAD. KAFKA TROUBLESHOOTING IN PRODUCTION. [Place of publication not identified] : APRESS, 2023 1484294890 (OCoLC)1373932694 |
| ISBN |
9781484294901 (electronic bk.) |
|
1484294904 (electronic bk.) |
| Standard No. |
10.1007/978-1-4842-9490-1 doi |
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