Production Debugging with Sentry
Language: English
Published by Gitforgits Aug 2026, 2026
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 56.97
Quantity: 1 available
Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -These days, every company runs on software of which they can't see the full picture. There are orders that fail quietly at two in the morning, a checkout that takes forever to service one customer, and a nightly job that stops running for a week before anyone even notices. So, we've got these standard monitoring reports that say the servers are all good, even though the business is losing money behind the scenes.With Sentry, you can debug in production and close that gap. This book takes a live system from silence to something that explains itself by working through a single storefront application built with Python and JavaScript. You install error monitoring, join three runtimes into one distributed trace, record the customer's own session, bring structured logs alongside those traces, and profile the exact function spending the time. Then the book moves on to how to run it well. You set alerts that people act on, not mute. And you can build a dashboard that the team will actually open.You can catch jobs that fail by never starting, and hand difficult issues to Sentry's Seer agent while keeping your own judgement firmly in charge.Key LearningsInstrument a full-stack application so every failure names its file, line and owner.Join browser, API and worker into one trace across the network boundary.Read a span waterfall and locate the slow span within two minutes.Detect and remove N+1 query patterns using trace evidence rather than guesswork.Record and mask customer sessions, proving privacy from the stored payload itself.Correlate structured logs with traces so caught errors stop disappearing entirely.Profile production safely and name the exact function consuming the time.Detect silent failures using uptime checks and scheduled job check-ins.Derive alert thresholds from real history instead of instinct or round numbers.Review an AI root cause analysis critically before accepting any proposed fix.Table of ContentInstalling Sentry cross StackMaking Errors ReadableSetting up Distributed TracingFinding Slow Code in TracesReplaying User SessionsCorrelating Logs with ErrorsProfiling Slow FunctionsUsing Insights DashboardsMonitoring Uptime, Crons and MetricsBuilding Alerts and DashboardsDebugging with SeerKeeping Sentry HealthyTarget ReadersWhether you're an engineer, SRE or tech lead, you'll find everything you need to scale your company. All the tasks are routine, you can reproduce them and verify the results. Basics of application monitoring and knowing the lifecycle of application development is all you need to get through this book. 214 pp. Englisch.…
Seller Inventory # 9788168869974
- Title
- Production Debugging with Sentry
- Author
- Zeel Wolf
- Publisher
- Gitforgits Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 8168869974
- ISBN 13
- 9788168869974
- Item weight
- 410 grams
- Dimensions
- 235x191x12 mm
These days, every company runs on software of which they can't see the full picture. There are orders that fail quietly at two in the morning, a checkout that takes forever to service one customer, and a nightly job that stops running for a week before anyone even notices. So, we've got these standard monitoring reports that say the servers are all good, even though the business is losing money behind the scenes.
With Sentry, you can debug in production and close that gap. This book takes a live system from silence to something that explains itself by working through a single storefront application built with Python and JavaScript. You install error monitoring, join three runtimes into one distributed trace, record the customer's own session, bring structured logs alongside those traces, and profile the exact function spending the time. Then the book moves on to how to run it well. You set alerts that people act on, not mute. And you can build a dashboard that the team will actually open.You can catch jobs that fail by never starting, and hand difficult issues to Sentry's Seer agent while keeping your own judgement firmly in charge.
Key Learnings
- Instrument a full-stack application so every failure names its file, line and owner.
- Join browser, API and worker into one trace across the network boundary.
- Read a span waterfall and locate the slow span within two minutes.
- Detect and remove N+1 query patterns using trace evidence rather than guesswork.
- Record and mask customer sessions, proving privacy from the stored payload itself.
- Correlate structured logs with traces so caught errors stop disappearing entirely.
- Profile production safely and name the exact function consuming the time.
- Detect silent failures using uptime checks and scheduled job check-ins.
- Derive alert thresholds from real history instead of instinct or round numbers.
- Review an AI root cause analysis critically before accepting any proposed fix.
Table of Content
- Installing Sentry cross Stack
- Making Errors Readable
- Setting up Distributed Tracing
- Finding Slow Code in Traces
- Replaying User Sessions
- Correlating Logs with Errors
- Profiling Slow Functions
- Using Insights Dashboards
- Monitoring Uptime, Crons and Metrics
- Building Alerts and Dashboards
- Debugging with Seer
- Keeping Sentry Healthy
Target Readers
Whether you're an engineer, SRE or tech lead, you'll find everything you need to scale your company. All the tasks are routine, you can reproduce them and verify the results. Basics of application monitoring and knowing the lifecycle of application development is all you need to get through this book."Synopsis" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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