Instrument .NET apps using OpenTelemetry and explore logs and .NET diagnostic tools to debug, monitor, and analyze the performance of complex systems in the cloud
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
- Get a clear understanding of complex systems using .NET and OpenTelemetry
- Adopt a systematic approach toward performance analysis and debugging
- Explore instrumentation techniques for common distributed patterns
Book Description
As distributed systems become more complex and dynamic, their observability needs to grow to aid the development of holistic solutions for performance or usage analysis and debugging. Distributed tracing brings structure, correlation, causation, and consistency to your telemetry, thus allowing you to answer arbitrary questions about your system and creating a foundation for observability vendors to build visualizations and analytics.
Modern Distributed Tracing in .NET is your comprehensive guide to observability that focuses on tracing and performance analysis using a combination of telemetry signals and diagnostic tools. You'll begin by learning how to instrument your apps automatically as well as manually in a vendor-neutral way. Next, you'll explore how to produce useful traces and metrics for typical cloud patterns and get insights into your system and investigate functional, configurational, and performance issues. The book is filled with instrumentation examples that help you grasp how to enrich auto-generated telemetry or produce your own to get the level of detail your system needs, along with controlling your costs with sampling, aggregation, and verbosity.
By the end of this book, you'll be ready to adopt and leverage tracing and other observability signals and tools and tailor them to your needs as your system evolves.
What you will learn
- Understand the core concepts of distributed tracing and observability
- Auto-instrument .NET applications with OpenTelemetry
- Manually instrument common scenarios with traces and metrics
- Systematically debug issues and analyze the performance
- Keep performance overhead and telemetry volume under control
- Adopt and evolve observability in your organization
Who this book is for
This book is for software developers, architects, and systems operators running .NET services who want to use modern observability tools and standards and take a holistic approach to performance analysis and end-to-end debugging. Software testers and support engineers will also find this book useful. Basic knowledge of the C# programming language and .NET platform is assumed to grasp the examples of manual instrumentation, but it is not necessary.
Table of Contents
- Observability Needs of Modern Applications
- Native Monitoring in .NET
- The .NET Observability Ecosystem
- Low-Level Performance Analysis with Diagnostic Tools
- Configuration and Control Plane
- Tracing Your Code
- Adding Custom Metrics
- Writing Structured and Correlated Logs
- Best Practices
- Tracing Network Calls
- Instrumenting Messaging Scenarios
- Instrumenting Database Calls
- Driving Change
- Creating Your Own Conventions
- Instrumenting Brownfield Applications
Liudmila Malkova is a principal software engineer working on observability at Microsoft. She is a co-author of the distributed tracing in .NET and tracing implementation in Azure Functions and Application Insights SDK features. She’s currently a tracing and observability architect on Azure SDKs and an active contributor to the OpenTelemetry semantic conventions and instrumentation working group.
Liudmila’s love to observability started at Skype, where she got first-hand experience running complex systems at high scale and was fascinated by how much telemetry can reveal even to those deeply familiar with the code.
