Logs and Telemetry: Using Fluent Bit, Kubernetes, streaming and more

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

Fluent Bit is a super-fast and super lightweight observability tool—making it perfect for telemetry on Kubernetes-based systems. Logs and Telemetry is an all-practical guide to monitoring both cloud-native and traditional environments with Fluent Bit. 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 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
• 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 Wilkin’s 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.

About the book

Inside Logs and Telemetry you’ll learn how to establish and optimize observability systems for Kubernetes, and more. From fundamental configuration to advanced integrations, this book lays out Fluent Bit’s full capabilities for log, metric, and trace routing and processing. You’ll start with pre-made configurations for universal use cases, steadily working your way up to see how Fluent Bit works with modern innovations like OpenTelemetry and real-time analytical processing of events. You’ll learn how to customize filtering and processing using Lua scripts and plugins, and meet the demands of highly scalable environments with a minimal footprint. By the end, you’ll be ready to build tailored observability pipelines efficiently using Fluent Bit.

About the reader

For developers, DevOps engineers, and SREs working with Kubernetes observability.

About the author

Phil Wilkins has spent over 25 years in the software industry with a breadth of experience in different types of businesses and environments, from multinationals to software startups and consumer organizations to consultancy. He is the author of Logging in Action.