End-to-end implementation
Go from architecture to rollout with guided steps for logs, metrics, traces, profiles, dashboards, incidents, and AI-assisted workflows.
OBSERVABILITY ENGINEERING
Tired of scattered logs, noisy alerts, and slow root-cause hunts? Build a production-ready observability operating system in months, not years.
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You are not failing. Most teams are running observability as disconnected tools, not an integrated practice.
You do not need more dashboards. You need a practical handbook to design, operate, and improve your stack in production.
A practical path from observability fundamentals to production rollout, operations, and continuous improvement.
Part I: Fundamentals of Observability
Part II: Day Zero Operations
Introduction and Preface
At the following event sizes (1250 bytes/span | 600 bytes/log line | 125 KB/profile snapshot | 16 bytes/raw metric sample, stored as 1.5-2 bytes with Gorilla compression), we build a production-style stack, from a small operation (100K metrics/sec | 40K spans/sec | 10K log lines/sec | 10 profiles/sec | 100 services), through a mid-sized operation (5M metrics/sec | 2M spans/sec | 500K log lines/sec | 500 profiles/sec | 5K services), growing to a large operation (100M metrics/sec | 40M spans/sec | 10M log lines/sec | 10K profiles/sec | 100K services) right up to an extreme hyperscale operation (500M metrics/sec | 200M spans/sec | 50M log lines/sec | 50K profiles/sec | 500K+ services).
Go from architecture to rollout with guided steps for logs, metrics, traces, profiles, dashboards, incidents, and AI-assisted workflows.
Learn practical trade-offs around cardinality, retention, cost, ownership, and signal quality in real teams.
Use reusable project code and walkthrough content to accelerate onboarding and reduce trial-and-error.
Replace these placeholders with launch testimonials from early readers and practitioners.
"Finally a practical view of observability in production."
"Clear guidance on logs, metrics, traces, and cost trade-offs."
"A handbook that translates theory into day-to-day operations."
Save months of trial-and-error, ship faster in production, and avoid costly observability mistakes.
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Yes. Basic familiarity with programming, command line usage, and server software is enough.
No. The practices apply broadly, with specific examples anchored in practical modern stacks.
Yes. Incident design and SLI/SLO application are core parts of the handbook outcomes.
Practical first. The focus is on decisions, trade-offs, and operating patterns you can use in production.
The Observability Handbook is a practical guide for building and operating observability in production. It covers foundations, stack design, telemetry strategy, alerting, incident response, SLI/SLO usage, cost control, governance, and operating models across Day 0, Day 1, and Day 2 operations.
Start with the free sample chapter first to make sure the style fits what you need. If the full book still does not meet expectations, reach out and we will review your case and work toward a fair resolution.
Yes. Team licenses are available for companies that want multiple copies for engineering teams, platform teams, or reliability programs. Contact us with your team size and we will share a custom offer.
Yes. Student discounts are available in limited slots. Share a valid student email or proof of enrollment and we will send you the current student pricing options.
Not at the moment. The book is currently digital-only (PDF and EPUB), with video and project code access included depending on the tier you choose.
Great. Use the free sample chapter form and include your question, or reply from your confirmation email. We are happy to help with content, tier selection, and team purchasing questions.
Yes. We offer PPP discounts for eligible countries to make the handbook more accessible. If this applies to you, contact us and we will guide you through the eligibility check.
Some pieces are, but they are often scattered, outdated, or disconnected from real production decisions. This handbook gives you a structured, opinionated path with practical trade-offs, reference architectures, and end-to-end implementation guidance.
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