ExplainerAI in production
Anomaly detection: from unusual behavior to a useful signal
Baselines, event-level precision and recall, and the cost of waiting determine whether an unusual pattern belongs in investigation or paging.
Articles
Guides, news and explanations about AI and reliable systems.
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.
ExplainerSLOs & reliability
Choosing an SLO for the work users need completed
A queued upload illustrates the choice of SLI, target and window, including why endpoint success can miss the user’s unfinished task.
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.
ExplainerSLOs & reliability
How SRE feedback loops reveal work that moved out of view
Alert cleanup can reduce interruption or conceal a recurring failure. Customer reports and correction effort help distinguish the two results.
ExplainerSLOs & reliability
Error-budget calculations, balances and burn rates
Worked request and time examples explain error-budget units, remaining allowance and burn rate, plus the release policy that gives them a practical role.
ExplainerSLOs & reliability
SRE KPIs for service quality and the work behind it
Worked formulas and a scorecard connect customer outcomes, response delays and specialist workload to reliability investment.