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Logs and Telemetry

By: (Author) Phil Wilkins

Extended Catalogue

Ksh 10,800.00

Format: Hardback or Cased Book

ISBN-10: 1633437477

ISBN-13: 9781633437470

Publisher: Manning Publications

Imprint: Manning Publications

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 6th, 2025

Print length: 392 Pages

Weight: 702 grams

Dimensions (height x width x thickness): 23.30 x 18.80 x 2.70 cms

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Build cloud native observability pipelines with minimal footprints and high-performance throughput—all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools.

Build cloud native observability pipelines with minimal footprints and high-performance throughput—all with Fluent Bit, Kubernetes, and your favorite visualization and analytics tools.

Logs and Telemetry is an all-practical guide to monitoring both cloud-native and traditional environments with the Fluent Bit observability tool. It takes you from the basics of collecting app logs, all the way to filtering, routing, enriching and transforming logs, metrics, and traces.

Inside Logs and Telemetry you''ll learn how to:

  • Deploy Fluent Bit for telemetry (log, metric, and trace) collection
  • Configure pipelines to filter, route, and transform data
  • Integrate Fluent Bit with containers and Kubernetes
  • Configure Fluent Bit to work with OpenTelemetry, Prometheus, and other open source tech
  • Monitor applications at scale with minimal footprint
  • Address challenges in Kubernetes-based ecosystems using Fluent Bit
  • Utilize Fluent Bit for real-time event analytics to derive new metrics and insights
  • Develop custom filters, inputs, and outputs for unique or reusable use cases

Logs and Telemetry draws on both the input and support of key committers and founders of Fluent Bit, and author Phil Wilkins'' years of experience in DevOps. Inside, you''ll see how you can integrate Fluent Bit with Prometheus, OpenTelemetry, FluentD deployments, and more. Learn how Fluent Bit can not only meet all the demands of cloud-native use cases, but also more traditional deployments as well.


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