Kepler: Memory
What Kepler is:
Kepler is Scoutflo's AI-powered system memory that transforms scattered operational knowledge into instant, contextual intelligence during production incidents:
Ingests and indexes your runbooks, playbooks, RCAs, and infrastructure docs
Provides semantic search with LLM-powered relevance ranking
Delivers contextual knowledge retrieval in under 2 seconds
Learns from historical incidents to surface relevant solutions
Integrates seamlessly with your existing incident response workflows
Kepler acts as your team's institutional memory that never forgets and is always available:
How Kepler Works
Kepler operates through a sophisticated two-stage intelligence pipeline that understands both the semantic meaning and operational context of your documentation:
Stage 1: Knowledge Ingestion
Documents are automatically chunked using type-specific processors
Content is embedded using state-of-the-art models (OpenAI/Gemini)
Vectors are indexed with rich metadata for precise filtering
Background jobs ensure reliable, scalable processing
Stage 2: Contextual Retrieval
Queries are semantically matched against the knowledge base
LLM judge evaluates results against incident context (alerts, logs, metrics)
Results are ranked by relevance with confidence scores and reasoning
Sub-2-second response times for real-time incident response
Key Benefits & Metrics
Production Results: These metrics come from engineering teams using Kepler during real incidents.
How it works: When an incident occurs, instead of frantically searching Slack, wiki pages, or asking teammates who might be offline, Kepler instantly surfaces the most relevant procedures, troubleshooting steps, and historical resolutions.
Sub-2-second response times for knowledge queries during active incidents
Semantic understanding that matches intent, not just keywords
Multi-document correlation that finds patterns across different sources
Confidence scoring so you know how reliable each suggestion is
Example: Query "auth service memory leak" returns specific debugging steps from your auth team's runbook, plus similar incidents from 3 months ago, with 94% confidence.
How it works: Kepler doesn't just do keyword matching. It understands the full context of your incident - the alerts firing, error patterns, affected services - and uses this to rank knowledge by relevance.
Alert integration that automatically incorporates alert details into search context
LLM-powered ranking that evaluates multiple documents against your specific situation
Historical pattern matching that identifies similar past incidents
Evidence-based reasoning with explanations for why each result is relevant
Example: During a PostgreSQL connection timeout, Kepler prioritizes database troubleshooting over network issues because it understands the error signature.
How it works: Every runbook, post-mortem, and troubleshooting session gets embedded into Kepler's knowledge base. This creates a searchable institutional memory that captures your team's collective experience.
Automatic document processing that keeps knowledge current without manual work
Cross-team knowledge sharing so solutions from one team benefit everyone
Historical incident analysis that helps identify patterns and prevent repeats
Knowledge gap detection that highlights missing documentation
Example: A new engineer can instantly access 18 months of authentication service incidents, their root causes, and successful resolutions.
Core Knowledge Types
Kepler processes and intelligently indexes four types of operational knowledge:
Runbooks
Service-specific troubleshooting guides and diagnostic procedures
Step-by-step debugging workflows
Known issue resolutions
Service health check procedures
Recovery and rollback instructions
How Kepler helps: Instantly find the exact troubleshooting steps for your specific service and error pattern, ranked by relevance to current symptoms.
Playbooks
Standardized operational procedures and workflows
Incident response procedures
Deployment checklists
Security incident workflows
Escalation procedures
How Kepler helps: Surface the right process for your situation, whether it's a P1 incident or routine maintenance, with context-aware recommendations.
Infrastructure Documentation
Architecture, configuration, and dependency information
System architecture diagrams
Service dependency maps
Configuration references
Environment specifications
How Kepler helps: Understand system relationships and dependencies when investigating complex incidents that span multiple services.
RCA Documents
Historical incident analysis and post-mortems
Root cause investigations
Timeline analysis
Resolution patterns
Lessons learned
How Kepler helps: Learn from past incidents with similar symptoms, understand what worked before, and avoid repeating previous mistakes.
Quick Setup
Kepler transforms your team's collective knowledge into an always-available, intelligent assistant that makes every engineer as effective as your most experienced team member - instantly.
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