Logs And Telemetry
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Logs and Telemetry
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. About the technology Fluent Bit is a super-fast lightweight observability tool that’s perfect for Kubernetes and containers, as well as traditional IT environments. Fluent Bit makes it a snap to extract meaning from the logs, traces, and other performance metrics generated by your applications and infrastructure. It’s also a great way to route telemetry to analysis tools like Prometheus and Grafana. About the book Logs and Telemetry shows you how to turn systems data into actionable insights using Fluent Bit. You’ll start by learning the pre-built plugins for common use cases and progress to integration with powerful tools like OpenTelemetry and real-time analytical event processing. You’ll use plugins to configure routing, filtering and processing, automate your observability with Lua scripts, and configure Fluent Bit to meet the demands of highly scalable environments. What's inside • Deploy Fluent Bit for telemetry collection • Configure pipelines to filter, route, and transform data • Integrate Fluent Bit with containers and Kubernetes • Monitor applications at scale About the reader For developers, DevOps engineers, and SREs working with observability. About the author Phil Wilkins has spent over 25 years in the software industry from multinationals to software startups. He is the author of Logging in Action. The technical editor on this book was Karthik Gaekwad. Table of Contents Part 1 1 Introduction to Fluent Bit 2 From zero to “Hello, World” Part 2 3 Capturing inputs 4 Getting inputs from containers and Kubernetes 5 Outputting events 6 Parsing to extract more meaning 7 Filtering and transforming events Part 3 8 Stream processors for time series calculations and filtering 9 Building processors and Fluent Bit extension options 10 Building plugins 11 Putting Fluent Bit into action: An enterprise use case Appendix A Installations Appendix B Useful resources Appendix C Comparing Fluent Bit and Fluentd
Software Telemetry
Software Telemetry shows you how to efficiently collect, store, and analyze system and application log data so you can monitor and improve your systems. Summary In Software Telemetry you will learn how to: Manage toxic telemetry and confidential records Master multi-tenant techniques and transformation processes Update to improve the statistical validity of your metrics and dashboards Make software telemetry emissions easier to parse Build easily-auditable logging systems Prevent and handle accidental data leaks Maintain processes for legal compliance Justify increased spend on telemetry software Software Telemetry teaches you best practices for operating and updating telemetry systems. These vital systems trace, log, and monitor infrastructure by observing and analyzing the events generated by the system. This practical guide is filled with techniques you can apply to any size of organization, with troubleshooting techniques for every eventuality, and methods to ensure your compliance with standards like GDPR. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Take advantage of the data generated by your IT infrastructure! Telemetry systems provide feedback on what’s happening inside your data center and applications, so you can efficiently monitor, maintain, and audit them. This practical book guides you through instrumenting your systems, setting up centralized logging, doing distributed tracing, and other invaluable telemetry techniques. About the book Software Telemetry shows you how to efficiently collect, store, and analyze system and application log data so you can monitor and improve your systems. Manage the pillars of observability—logs, metrics, and traces—in an end-to-end telemetry system that integrates with your existing infrastructure. You’ll discover how software telemetry benefits both small startups and legacy enterprises. And at a time when data audits are increasingly common, you’ll appreciate the thorough coverage of legal compliance processes, so there’s no reason to panic when a discovery request arrives. What's inside Multi-tenant techniques and transformation processes Toxic telemetry and confidential records Updates to improve the statistical validity of your metrics and dashboards Revisions that make software telemetry emissions easier to parse About the reader For software developers and infrastructure engineers supporting and building telemetry systems. About the author Jamie Riedesel is a staff engineer at Dropbox with over twenty years of experience in IT. Table of Contents 1 Introduction PART 1 TELEMETRY SYSTEM ARCHITECTURE 2 The Emitting stage: Creating and submitting telemetry 3 The Shipping stage: Moving and storing telemetry 4 The Shipping stage: Unifying diverse telemetry formats 5 The Presentation stage: Displaying telemetry 6 Marking up and enriching telemetry 7 Handling multitenancy PART 2 USE CASES REVISITED: APPLYING ARCHITECTURE CONCEPTS 8 Growing cloud-based startup 9 Nonsoftware business 10 Long-established business IT PART 3 TECHNIQUES FOR HANDLING TELEMETRY 11 Optimizing for regular expressions at scale 12 Standardized logging and event formats 13 Using more nonfile emitting techniques 14 Managing cardinality in telemetry 15 Ensuring telemetry integrity 16 Redacting and reprocessing telemetry 17 Building policies for telemetry retention and aggregation 18 Surviving legal processes
OpenTelemetry in Practice
"OpenTelemetry in Practice" OpenTelemetry in Practice offers a comprehensive, hands-on exploration of modern observability through the OpenTelemetry project, the vendor-neutral standard powering trace, metric, and log telemetry across today’s distributed systems. Beginning with a robust foundation, the book journeys through the history, architecture, and multi-language ecosystem of OpenTelemetry, unpacking its critical role within the Cloud Native Computing Foundation (CNCF) and its seamless integration into cloud-native workflows. Readers will discover not only the core components—including APIs, SDKs, and the powerful Collector—but also how OpenTelemetry interlinks with the broader landscape of cloud-native tools and platforms. With practical emphasis, the book delves into advanced instrumentation techniques for tracing, metrics, and logging, exploring manual and automatic instrumentation, context propagation across languages, performance optimization, and robust integration strategies for both greenfield and legacy environments. In-depth chapters meticulously guide practitioners through distributed tracing, metric collection, and log processing, illuminating patterns for trace correlation, sampling strategies, service-level indicator analysis, and sophisticated root cause diagnostics. The design and operational best practices for the OpenTelemetry Collector, including development of custom processors and exporters, ensure readers gain production-grade expertise for managing large-scale, heterogeneous telemetry pipelines. Beyond technical mastery, OpenTelemetry in Practice addresses enterprise adoption, governance, and emerging trends such as eBPF telemetry, machine learning-driven analytics, edge and IoT adaptations, and compliance for regulated industries. The book advocates for building mature observability cultures within organizations and equips readers with the knowledge to not only implement OpenTelemetry but also to contribute to its thriving open-source ecosystem. Whether you’re an engineer, architect, SRE, or leader driving cloud-native transformations, this authoritative guide empowers you to achieve resilient, insightful, and future-ready observability practices.