Overview

Debug production-only bugs faster with safe, scoped live debugging that works across Kubernetes and serverless without redeploys or downtime. Modern systems fail in ways that test and staging cannot fully reproduce. Redeploying for extra logs slows teams and raises risk, and step debuggers halt threads in clusters that must stay responsive. This book gives developers and SREs a practical workflow for non breaking breakpoints, rigorous guardrails, and source integrity checks that hold up in real incidents. You get field tested patterns, clear policies, and code examples that fit day to day work. use non breaking breakpoints with precise conditions and strict hit and time limits apply safe collection levels, depth and width limits, and automatic disable behavior scope investigations by namespace workload and process group in kubernetes run multi instance debugging on busy services with hot path awareness and sampling configure activegate and predictable egress behind corporate proxies work with serverless, aws lambda constraints today, and dynamic logging plus traces adopt managed platform patterns for elastic beanstalk cloud run and app service set iam and rbac for breakpoint creation and snapshot reading across environments export audit logs, run dql style queries, and integrate with your siem enforce data residency with data on premises options and robust redaction rules tune performance budgets, rate limiting, and backoff to keep p95 healthy capture long running methods and future calls with practical remedies control cost across logs traces and snapshots with quotas and retention work end to end from a failing trace in vs code or jetbrains to a proven fix triage breakpoint status (pending warning error) and resolve source version issues use field playbooks, misrouted tenant or flag bugs, shape drift, timeout cascades, and third party defects migrate from rookout classic to dynatrace live debugger step by step roll out safely in enterprises with change control, approvals, and guardrails compare alternatives, datadog live debugger and azure snapshot debugger, and decide confidently apply final checklists and recurring runbooks for on call and audits This is a code heavy guide. You will find working snippets in Java, Node.js, YAML, JSON, and HCL that map directly to production workflows. Grab your copy today and put calm, evidence driven debugging into daily practice.

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