How-To
Distributed tracing: choose the first request path to instrument
Start tracing with a customer-critical path, then test propagation, sampling, and whether the trace supports a real investigation.
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How-To
Read a distributed trace without mistaking it for the whole system
Understand spans, parent-child relationships, retries, and missing evidence so traces support a careful diagnosis.
News
OpenTelemetry’s Kubernetes milestone matters for AI agent tracing
The stable Kubernetes attributes processor helps connect AI-agent traces to their workloads. Check the metadata joins before upgrading.
News
Splunk agent observability: follow the work, then the bill
Splunk’s September release connects agent evaluation and cost monitoring. The useful test is whether a responder can trace spending back to an outcome.
AIOps
GPU capacity depends on power and cooling
When inference slows without obvious application errors, test physical constraints alongside queueing, workload changes, and software regressions.
How-To
Metrics for observability: choose the question before the chart
Counters, gauges, and distributions answer different questions. Build metrics that preserve scope, denominators, and the evidence behind an incident.
How-To
Observability logs: preserve the events an investigation needs
Design logs around useful events, searchable context, and a collection path whose failures are visible.
AIOps
Python logging for operations: record failure and preserve the exit status
Use Python logging to capture useful context without swallowing errors, duplicating exceptions, or exposing sensitive data.
AIOps
Observability With AIOps: A Practical Evaluation Guide
Use AIOps to connect operational evidence, then test whether it improves investigation without hiding missing signals or unsupported conclusions.
AIOps
NotebookLM for SRE: build a source-backed incident dossier
Use a curated notebook to compare runbooks and incident evidence, while keeping citations, freshness, and operational authority in view.
AIOps
Evaluate Claude Opus 4.6 for operational work
Test evidence retrieval, long-session consistency, tool boundaries, and cost before letting a model influence production changes.
AIOps
Connect PagerDuty, Jira, and Slack without losing incident state
A design guide for an incident assistant that handles duplicate events, partial failures, and reviewed AI summaries across tools.