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020			_a9781484294901
024	7		_a10.1007/978-1-4842-9490-1 _2doi
040			_aES-VaUEC _bspa _cES-VaUEC _dES-VaUE
050		4	_aQA76.9 .B45 _b2023 EB
100	1		_aEldor, Elad _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9518203
245	0	0	_aKafka Troubleshooting in Production : _bStabilizing Kafka Clusters in the Cloud and On-premises _cby Elad Eldor
250			_a1st ed 2023
264		1	_aBerkeley CA _c2023 _bSpringer International Publishing
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aSpringer
505	0		_a1. 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.
520			_aThis 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.
988			_aSpringer_Business_2023
650		7	_2embne _9518202 _aDatos masivos
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4842-9490-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942			_2lcc _cLE _n0
998			_b01/2024 _db _ee _zSI