Service Delivery and SupportPurpose
1.2. Gather incident data from multiple sources, categorize and prioritize incidents, correlate patterns, suggest root causes, and recommend remedial actions automatically.
1.3. Reduce manual investigation by automating data parsing, incident clustering, timeline construction, impact assessment, and documentation.
1.4. Enable automated incident feedback loops and learning by tracking resolution outcomes and updating knowledge bases.
1.5. Ensure compliance by automating evidence collection and audit trails for professional services in engineering.
Trigger Conditions
2.2. Trigger on threshold breach in repeat incident frequency within a set time period.
2.3. Trigger on escalation or SLA violation signals.
2.4. Activate automation via receipt of external incident reports from customers or field teams.
2.5. Schedule automation at regular intervals (e.g., daily/weekly automated incident batch analysis).
Platform Variants
• Feature/Setting: Incident Management API — automate incident fetch, root cause recording, and change log updates.
• Sample: Configure REST API trigger on new/updated incidents; automate field extraction.
3.2. Jira Service Management
• Feature/Setting: Automation Rule — trigger on “Incident Created/Updated”, auto-analyze, and post summary to comments.
• Sample: Set up automation rule with JQL filter for recurring incidents; automate root cause suggestion field updates.
3.3. PagerDuty
• Feature/Setting: Webhooks — automate pulling incident alerts, clustering, and root-cause suggestion via event rules.
• Sample: Configure webhook for incident escalation or frequent repeat events; automate push to analysis workflow.
3.4. Splunk
• Feature/Setting: Saved Searches + Webhook — automate log query, anomaly grouping, and incident correlation.
• Sample: Scheduled saved search triggers webhook, automates root cause reporting into ITSM.
3.5. Prometheus
• Feature/Setting: Alertmanager API — automate querying for historical alert trends and trigger root cause workflow.
• Sample: Automation on repeat alert firing; push details for automated pattern analysis.
3.6. Elastic Stack (ELK)
• Feature/Setting: Watcher — automate detection of recurring logs, root cause rule execution, and notify team with findings.
• Sample: Configure watcher to automate root cause report generation on log pattern match.
3.7. Microsoft Power Automate
• Feature/Setting: Automated Flow — incident form submission triggers root cause detection logic, sends report.
• Sample: Build flow with trigger from incident management system, automate data extraction, routing to analysis.
3.8. AWS Lambda
• Feature/Setting: Scheduled Functions — automate script execution to analyze and correlate incident logs.
• Sample: Cron schedule to fetch and process incidents, send results to monitoring dashboard.
3.9. Google Cloud Functions
• Feature/Setting: Pub/Sub Trigger — automate root cause engine on publish of new incident event.
• Sample: Automate response workflow launch upon Pub/Sub message with incident data.
3.10. IBM QRadar
• Feature/Setting: Offense API — automate fetching repeat offenses, running custom RCA scripts, logging outcome.
• Sample: Schedule offense polling, automate result storage in ticket system.
3.11. Zendesk
• Feature/Setting: Triggers — automate detection of repeat support tickets, root cause pattern suggestion via ticket fields.
• Sample: Configure trigger to run automation on detected keyword/frequency.
3.12. Freshservice
• Feature/Setting: Workflow Automator — schedule automatic root cause checks for incidents marked as recurring.
• Sample: Automate incident tag detection, link to RCA template.
3.13. New Relic
• Feature/Setting: Alerts + Workflows — automate detection of repeating performance issues, append RCA suggestions.
• Sample: Set alert condition for multiple breaches; automate RCA note creation.
3.14. Datadog
• Feature/Setting: Monitors + Webhooks — automate trigger on pattern of incidents, fetch metrics for analysis.
• Sample: Configure monitor webhook to automate launch of root cause automation sequence.
3.15. Asana
• Feature/Setting: Rules — automatedly create task for root cause documentation on flagged incident.
• Sample: Set up rule for recurring task creation with RCA template.
3.16. Trello
• Feature/Setting: Butler Automation — automate card creation/checklist with root cause investigative steps.
• Sample: Set Butler rule for board automation when label or frequency matches criteria.
3.17. Monday.com
• Feature/Setting: Automations — automate status change on incident detection, generate root cause subitems.
• Sample: Rule for recurring incident moves, automate RCA workflow.
3.18. Slack
• Feature/Setting: Workflow Builder — automate incident channel alerts, root cause summary posting.
• Sample: Configure workflow to automate posting analysis steps to engineering channel.
3.19. Microsoft Teams
• Feature/Setting: Power Automate Integration — automate notification on recurring incident, RCA form auto-fill.
• Sample: Flow to collect incident data and automate posting of root cause diagnosis.
3.20. GitHub Actions
• Feature/Setting: Scheduled Workflow — automate audit of issue reports, cluster for RCA, post report to issues.
• Sample: Automation for parsing labels and comments, automate root cause notes on detected repetition.
Benefits
4.2. Automated incident correlation increases root cause discovery speed and accuracy.
4.3. Automation accelerates response, reducing downtime and improving SLAs.
4.4. Standardizes root cause detection, ensuring consistent, automatable processes.
4.5. Automatedly builds institutional knowledge, preventing recurrence and optimizing engineering workflows.