🪸KORA-SRE [Knowledge Oriented Reliability Agent]🪸
A Coral-powered platform for incident investigation, deployment tracking, and operational visibility.
Introduction
Modern SRE teams rely on multiple tools to investigate production incidents. Engineers often switch between GitHub, Datadog, PagerDuty, and external status platforms to gather operational context, making troubleshooting slow and fragmented.
KORA-SRE (Knowledge-Oriented Reliability Engine) was built to simplify this process. At its core, Coral serves as the unified knowledge layer, enabling operational data to be accessed through structured queries and tables rather than interacting directly with individual APIs. By leveraging Coral for data retrieval and correlation, KORA-SRE brings deployment information, monitoring signals, incident data, and service health into a single platform for faster and more efficient investigations.
Why Coral?
Coral serves as the knowledge layer of KORA-SRE, enabling a consistent way to access operational data across systems.
Rather than building custom integrations for every workflow, KORA-SRE leverages Coral to retrieve and query information from connected sources. This simplifies data access, reduces integration complexity, and provides a foundation for unified incident investigations.
System Architecture
KORA-SRE acts as a centralized incident investigation platform that brings together operational signals from multiple systems. Coral serves as the knowledge layer, enabling consistent access to deployment, monitoring, incident, and service health data.
By correlating information across connected sources, KORA-SRE provides engineers with a unified view of ongoing incidents and supports faster root cause analysis.
Coral Integration
Coral serves as the primary knowledge layer within KORA-SRE. To retrieve deployment and repository information, KORA-SRE executes Coral SQL queries against connected data sources. This provides a unified and consistent way to access operational data without directly interacting with individual APIs.
Coral provides a unified source ecosystem for operational systems. For this implementation, GitHub was integrated as a live Coral source, while Datadog, PagerDuty, and StatusGator were represented through mock APIs to simulate production monitoring and incident workflows.
Integrations & Data Sources
KORA-SRE uses Coral as a unified knowledge layer for incident investigations. GitHub is integrated as a live Coral source using a Personal Access Token (PAT), enabling real-time access to commits and deployment data.
Due to the lack of production environments, Datadog, PagerDuty, and StatusGator are represented through realistic mock APIs that simulate monitoring, incident management, and dependency-status workflows.
Integration Status
- ✅ Coral — Real Integration
- ✅ GitHub — Real Integration via Coral
- ⚠️ Datadog — Mock API
- ⚠️ PagerDuty — Mock API
- ⚠️ StatusGator — Mock API
Incident Investigation Workflow
KORA-SRE starts with a healthy operational view where all services are functioning normally and no active incidents exist. This serves as the baseline state before an investigation begins.
To demonstrate incident response workflows, KORA-SRE provides a simulation engine capable of generating realistic production incidents such as CPU spikes, memory leaks, deployment failures, and database saturation events.
Once an incident is generated, service health degrades and active investigations are automatically created. Engineers immediately gain visibility into affected services and incident severity.
The Distress Signals dashboard provides a centralized view of active incidents, including severity, status, and detection timestamps, helping engineers prioritize investigations.
KORA-SRE correlates deployment information from GitHub with incident signals, external dependency status, operational metrics, and investigation timelines. This creates a single pane of glass for root-cause analysis. GitHub deployment data is retrieved through Coral, while PagerDuty, Datadog, and StatusGator data are provided through mock APIs that simulate production environments.
Runbook Navigation
Navigation Charts act as KORA-SRE’s runbook library. Initially, no investigation charts are available until incidents are detected and analyzed.
Once incidents are investigated, KORA-SRE generates navigation charts that capture common investigation paths, remediation steps, and operational context. These runbooks help engineers resolve recurring issues more efficiently.
Operational Analytics
KORA-SRE provides operational insights derived from incident investigations, including MTTR reduction, investigation volume, source utilization, and estimated engineering time savings. These analytics help teams understand platform effectiveness and identify opportunities for operational improvement.
Key Outcomes
🪸 Demonstrated Coral as a unified knowledge layer for incident investigations, enabling consistent access to operational data across multiple systems.
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🪸 Successfully integrated GitHub with Coral using Personal Access Token (PAT) authentication for real-time repository and deployment insights.
🪸 Centralized incident investigation workflows through a single operational interface, reducing the need to switch between multiple platforms.
🪸 Simulated production-grade operational signals using Datadog, PagerDuty, and StatusGator mock APIs to demonstrate monitoring and incident-management workflows.
🪸 Automated runbook generation and investigation tracking, helping engineers follow structured troubleshooting processes.
🪸 Correlated deployment, monitoring, incident, and dependency signals to provide a unified view of operational health and accelerate root-cause analysis.
🪸 Improved operational visibility and reduced context switching, enabling faster and more efficient incident investigations.
Future Enhancements
🪸 Production integration with Datadog APIs for real-time telemetry collection.
🪸 Live PagerDuty synchronization for active incident tracking and escalation management.
🪸 Real-time StatusGator integration for external dependency monitoring.
🪸 AI-assisted root cause analysis using correlated operational signals.
🪸 Automated remediation workflows for common incident patterns.
🪸 Slack and Microsoft Teams notifications for investigation updates.
🪸 Kubernetes deployment rollback and operational automation support.
Conclusion
KORA-SRE demonstrates how Coral can be used as a unified knowledge layer for incident investigations. By bringing together deployment data, monitoring signals, incident information, and service health into a single platform, it simplifies troubleshooting and improves operational visibility.
Project Links
🪸 GitHub Repository: [Your GitHub Repo Link]
🎥 Demo Video: [Your YouTube Link]
Built for Coral Hackathon 🪸
KORA-SRE (Knowledge-Oriented Reliability Engine) was developed to explore how Coral can simplify incident investigations through a unified knowledge layer and connected operational systems.
