Don’t fly blind. Observability gives you actionable insights into your cloud native systems—from pinpointing errors, to increasing developer productivity, to tracking compliance.

Observability is the difference between an error message and an error explanation with a recipe how to resolve the error! You know exactly which service is affected, who’s responsible for its repair, and even how it can be optimized in the future.

Cloud Observability in Action

teaches you how to set up an observability system that learns from a cloud application’s signals, logging, and monitoring, all using free and open source tools.

In

Cloud Observability in Action

you will learn how to:

Apply observability in cloud native systems

Understand observability signals, including their costs and benefits

Apply good practices around instrumentation and signal collection

Deliver dashboarding, alerting, and SLOs/SLIs at scale

Choose the correct signal types for given roles or tasks

Pick the right observability tool for any given function

Communicate the benefits of observability to management

A well-designed observability system provides insight into bugs and performance issues in cloud native applications. They help your development team understand the impact of code changes, measure optimizations, and track user experience. Best of all, observability can even automate your error handling so that machine users apply their own fixes—no more 3AM calls for emergency outages.

About the technology

Cloud native systems are made up of hundreds of moving parts. When something goes wrong, it’s not enough to know there is a problem—you need to know where it is, what it is, and how to fix it. This book takes you beyond traditional monitoring, explaining observability systems that turn application telemetry into actionable insights.

About the book

Cloud Observability in Action

gives you the background and techniques you need to successfully introduce observability into cloud-based serverless and Kubernetes environments. In it, you’ll learn to use open standards and tools like OpenTelemetry, Prometheus, and Grafana to build your own observability system and end reliance on proprietary software. You’ll discover insights from different telemetry signals, including logs, metrics, traces, and profiles. Plus, the book’s rigorous cost-benefit analysis ensures you’re getting a real return on your observability investment.

What's inside

Observability in and of cloud native systems

Dashboarding, alerting, and SLOs/SLIs at scale

Signal types for any role or task

State-of-the-art open source observability tools

About the reader

For application developers, platform owners, DevOps, and SREs.

About the author

Michael Hausenblas

is a Product Owner in the AWS open source observability team.

Table of Contents

1 End-to-end observability

2 Signal types

3 Sources

4 Agents and instrumentation

5 Backend destinations

6 Frontend destinations

7 Cloud operations

8 Distributed tracing

9 Developer observability

10 Service level objectives

11 Signal correlation

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