AGENOVA
Developer ToolsQ/92 · Quality reviewed

Production Telemetry and Live Debugging Rules

$29.99One-time purchase

Four Cursor rules and a diagnostic playbook for answering a question about running production code without shipping a deploy to find out.

Current version
1.0.0
Files included
12
Digital delivery
Instant download

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Built to save a real afternoon

/01

Zero-redeploy state inspection in Node.js, Python and Go — stacks on signal, pool counters, goroutine and task lists

/02

Log and span payloads carrying the five fields that make correlation possible at all

/03

Trace context across the boundary everyone forgets: the queue, restored as a link rather than a parent

/04

A read-only constraint on live investigation, so forming a picture cannot become a second incident

/05

A log-reading discipline that counts before it lists, instead of spending a context window on health checks

What is included

Production Telemetry and Live Debugging Rules

ANTI-PATTERNS.mdFILE/01
CHANGELOG.mdFILE/02
LICENSE.mdFILE/03
PLAYBOOK.mdFILE/04
PROBES.mdFILE/05
README.mdFILE/06
fr/README.mdFILE/07
metadata/product.jsonFILE/08
rules/00-diagnostic-payloads.mdcFILE/09
rules/10-trace-context.mdcFILE/10
rules/20-live-probes.mdcFILE/11
rules/30-log-reading.mdcFILE/12

Requirements

  • A central log store you can query
  • Some way to reach a production process — a shell, an admin endpoint, or a signal
  • Willingness to add instrumentation before you need it

Digital delivery

Secure download available after payment confirmation.

Practical license

Use and adapt the files in your own projects.

Versioned files

A clear changelog is included in every package.

Version history

v1.0.0

First downloadable release of production-telemetry-and-live-debugging-rules.

Good questions, straight answers.

Does this require a particular observability vendor?+

No. The tracing rule assumes OpenTelemetry because the context propagation format is a standard rather than a product, but nothing names a backend and the rules hold whether you send spans to a hosted service or to a collector you run yourself.

Which runtimes are covered for the live probes?+

Node.js, Python and Go, each treated separately rather than generically — the principles transfer between them but the mechanisms do not. Included: faulthandler on a signal and asyncio task lists for Python, event loop lag and heap snapshots for Node, pprof on an internal-only listener and goroutine counts for Go.

Why are the rules read-only? Sometimes a restart is the fix.+

Often it is. The constraint is on the investigation, not on remediation: a fix is proposed with its evidence, agreed, and then taken as a named step. What the rules forbid is reaching for a write while still forming a picture — a read that turns out useless costs seconds, and a write on an incomplete picture is how a degradation becomes an outage.

We already have dashboards. What does this add?+

Dashboards tell you something is wrong. These rules are for the case where the dashboard is red and the reason is not on it — which is when teams start the add-a-log-line-and-deploy loop. The playbook orders the search from the outside inwards, and the probe reference is how you read live state without that loop.

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