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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