AskOlly – Proactive Failure Analyser. Immediate, actionable diagnostics the moment a failure happens.
What is AskOlly? #
AI-powered failure analyser in BuildPiper—monitors CI/CD events/logs in real-time, detects anomalies, identifies root causes, recommends fixes from historical intelligence. Goes beyond alerts: explains failures and guides resolutions for faster MTTR.
Why AskOlly? #
Solves: hours on logs, unclear causes, experience-dependent fixes, manual troubleshooting. Delivers: instant analysis, stack correlation, why/how explanations.
How It Works #
Continuous loop: captures events/logs → detects failures → AI analyzes → UI summaries → remediation → learns from outcomes.
Workflow: Failure to Resolution #
-
Event Triggered – Pipeline failure.
-
Auto Activation – Instant start.
-
Log Analysis – Real-time processing.
-
Root Cause – Anomaly correlation.
-
Diagnostics – Concise UI summaries.
-
Guidance – Step-by-step fixes.
-
Learning – Improves future recs.
1. Failure Detection Engine #
Continuous analysis of app/infra logs, pipeline events, runtime patterns.
-
Embedded in BuildPiper pipelines
-
Unified oversight
-
Real-time analysis
-
UI failure summaries
2. AI Log Analysis #
Converts complex logs to insights.
-
Clear log visibility
-
Accurate root causes
-
Remediation steps
-
Stack/environment-aware recs
-
Escalation for critical issues
3. Instant Activation #
No config—triggers on any failure: instant analysis, anomaly detection, immediate insights.
4. Resolution Intelligence #
Matures over time from incidents.
-
Historical learning
-
Feedback integration
-
Proven fixes
Start Troubleshooting with AskOlly
Key Features #
-
Tight BuildPiper integration
-
Guesswork-free diagnostics
-
Proven, low-risk resolutions
-
Direct support escalation
Use When: Rapid diagnosis, complex logs, unclear causes, faster MTTR, stability critical.
FAQs #
-
What is it? AI analyser for failures—detects, analyzes, recommends fixes.
-
Activation? Instant on BuildPiper failures.
-
Config needed? No—out-of-box.
-
Issues covered? App/infra logs, pipeline/system anomalies.
-
Improves how? Learns from incidents/feedback.