GuideObservability
What makes an alert worth paging for
A capacity warning needs enough lead time and a reachable responder who can act. The alert review separates useful urgency from a missing response arrangement.
Articles
Guides, news and explanations about AI and reliable systems.
ExplainerObservability
What observability metrics keep and leave out
Counters, gauges and distributions preserve different information. A misleading latency trend shows why the counted requests matter as much as the chart.
GuideObservability
Python logging and exit status in a scheduled job
A complete Python example sends the result to stdout, records an exception once and returns the failure status its scheduler needs.
GuideObservability
Collecting and aggregating operational data with Python
A complete Python example combines request and error counts, while a failed regional collection explains why correct arithmetic can still produce an incomplete report.
ExplainerObservability
The path from a log event to an investigation
An unfinished worker operation connects event fields, collection loss and search permissions to the responder’s next retry decision.
GuideObservability
What an AIOps assistant adds to an investigation
A deployment and a simultaneous dependency outage illustrate how AI-assisted observability can locate useful evidence and distinguish competing explanations.
ExplainerAI in production
From an anomaly score to a useful service signal
Baselines, event-level precision and recall, and the cost of waiting determine whether an unusual pattern belongs in investigation or paging.
GuideObservability
A first distributed trace from request to background job
A queued background job gives an initial tracing project a concrete question: did the delay occur before the worker started or during execution?
ExplainerObservability
Why a refreshing dashboard can still show stale data
Observation, collection and evaluation timestamps explain why the last zero-error result may no longer describe the service.
ExplainerObservability
Reading time, concurrency and gaps in a distributed trace
Concurrent spans, retries and selected samples explain what a trace reveals about one request and where an investigation needs another observation.