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Implement quadrant-based lambda logic for ChatOps commands#17

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llama90 merged 9 commits intomainfrom
copilot/refactor-chatops-architecture
Jan 11, 2026
Merged

Implement quadrant-based lambda logic for ChatOps commands#17
llama90 merged 9 commits intomainfrom
copilot/refactor-chatops-architecture

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Copilot AI commented Dec 31, 2025

ChatOps commands currently share a single IAM role, giving read-only commands unnecessary write permissions and preventing blast radius isolation. This PR implements Phase 1: distinct IAM policies per command quadrant (execution time × side effects).

Changes

Command Registry (src/shared/command-registry.ts)

  • Categorizes all 11 commands into quadrants: short-read, short-write, long-read, long-write
  • Maps each command to timeout, required permissions, and approval requirements
  • Helper functions: getCommandsByCategory(), getCategoryPermissions(), getCommandsRequiringApproval()
const COMMAND_REGISTRY: Record<string, CommandMetadata> = {
  '/status': {
    category: 'short-read',
    timeout: 30,
    requiresApproval: false,
    permissions: ['cloudwatch:GetMetricData', 'lambda:GetFunction', ...]
  },
  '/deploy': {
    category: 'long-write',
    timeout: 600,
    requiresApproval: true,
    permissions: ['codedeploy:CreateDeployment', 'ecs:UpdateService', ...]
  },
  // ...
}

Infrastructure (infrastructure/lib/slack-bot-stack.ts)

Replaced single parameterStorePolicy with four quadrant-specific policies:

Short-Read: CloudWatch/Lambda/ECS describe operations (read-only)
Short-Write: ECS/Lambda configuration updates with tag-based ABAC
Long-Read: Athena, S3, Glue, Cost Explorer (analytics)
Long-Write: CodeDeploy, CodeBuild, RDS/DynamoDB migrations with ABAC

Security controls added to all policies:

  • Region restriction via aws:RequestedRegion condition
  • Tag-based ABAC (aws:ResourceTag/ManagedBy=ChatOps) for write operations
  • SID statements for audit trail

Applied to Lambda handlers:

  • commandHandler: Parameter Store only (routes commands)
  • processorHandler: Parameter Store + Long-Read (analytics)
  • executorHandler: Parameter Store + all quadrants (executes all command types)

Testing (tests/unit/command-registry.test.ts)

23 tests validating:

  • Timeout constraints (short ≤30s, long >30s)
  • Permission boundaries (read commands contain zero write actions)
  • Category-based queries and deduplication
  • Approval workflow requirements

Security Impact

  • Read commands now have zero write permissions (was: full access)
  • Write operations scoped to ManagedBy=ChatOps tagged resources only
  • Cross-region operations blocked
  • 5 of 11 commands marked requiring approval workflow

Future Work

Phase 2: Separate SQS queues per quadrant
Phase 3: Dedicated Lambda functions per quadrant
Phase 4: Per-quadrant CloudWatch dashboards and SLOs

Original prompt

Problem Statement

Our ChatOps platform currently uses a one-size-fits-all architecture where all commands share the same infrastructure (queues, IAM roles, timeouts). This creates security and performance issues:

  • Security: Read-only commands have unnecessary write permissions
  • Performance: Fast commands are blocked by slow operations in shared queues
  • Blast radius: No isolation between command types
  • Observability: Cannot set appropriate SLOs per command category

Command Execution Matrix

Commands are classified along two dimensions:

1. Execution Time

  • Short: < 30 seconds (instant response)
  • Long: > 30 seconds (background processing)

2. Side Effects

  • Read: Query-only operations (status, metrics, reports)
  • Write: Mutating operations (deploy, scale, restart)

This creates four quadrants:

  • Short + Read: /status, /health, /metrics
  • Short + Write: /scale, /restart
  • Long + Read: /analyze, /report
  • Long + Write: /deploy, /migrate

Phase 1 Requirements: Permission Boundaries (This PR)

Implement distinct IAM roles for each quadrant with least-privilege permissions:

Architecture Changes

  1. Create four IAM roles (one per quadrant):

    • ShortReadRole: Read-only CloudWatch, Lambda metadata
    • ShortWriteRole: Scoped write permissions (ECS, Lambda config)
    • LongReadRole: Read-only cost data, metrics, Athena queries
    • LongWriteRole: Deployment permissions (CodeDeploy, ECS)
  2. Update infrastructure (applications/chatops/slack-bot/infrastructure/lib/slack-bot-stack.ts):

    • Replace single parameterStorePolicy with quadrant-specific policies
    • Add IAM conditions (region restrictions, tag-based ABAC)
    • Document permission rationale in comments
  3. Create command registry (src/shared/command-registry.ts):

    interface CommandMetadata {
      name: string;
      category: 'short-read' | 'short-write' | 'long-read' | 'long-write';
      timeout: number;
      requiresApproval: boolean;
      permissions: string[];
    }
    
    const COMMAND_REGISTRY: Record<string, CommandMetadata> = {
      '/status': {
        category: 'short-read',
        timeout: 5,
        requiresApproval: false,
        permissions: ['cloudwatch:DescribeAlarms']
      },
      '/deploy': {
        category: 'long-write',
        timeout: 1800,
        requiresApproval: true,
        permissions: ['codedeploy:CreateDeployment']
      }
      // ... register all existing commands
    };
  4. Update router (src/router/index.ts):

    • Add command classification logic using registry
    • Include commandCategory in EventBridge detail
    • Maintain backward compatibility
  5. Update workers to reference appropriate roles:

    • Echo worker → ShortReadRole
    • Status worker → ShortReadRole
    • Deploy worker → LongWriteRole
    • Build worker → LongWriteRole

Security Requirements

DO:

  • Use path-based Parameter Store access per quadrant
  • Add region-based IAM conditions
  • Document why each permission is needed
  • Follow existing security patterns from SECURITY.md

DON'T:

  • Use wildcard resources for write operations
  • Grant permissions broader than needed
  • Store secrets in environment variables

Testing Requirements

  1. Unit tests (tests/unit/command-classifier.test.ts):

    • Test command classification logic
    • Verify registry completeness
    • Test unknown command handling
  2. Integration tests:

    • Verify IAM policies are attached correctly
    • Test that workers can access only their permitted resources

Documentation Requirements

Update the following files:

  • applications/chatops/slack-bot/README.md: Document quadrant model
  • ARCHITECTURE.md: Add section on permission boundaries
  • SECURITY.md: Add quadrant-based IAM examples

Files to Modify

Core Infrastructure:

  • applications/chatops/slack-bot/infrastructure/lib/slack-bot-stack.ts

Shared Logic:

  • applications/chatops/slack-bot/src/shared/command-registry.ts (new file)
  • applications/chatops/slack-bot/src/shared/types.ts (add CommandCategory type)

Router:

  • applications/chatops/slack-bot/src/router/index.ts

Documentation:

  • applications/chatops/slack-bot/README.md
  • ARCHITECTURE.md
  • SECURITY.md

Tests:

  • applications/chatops/slack-bot/tests/unit/command-classifier.test.ts (new file)

Success Criteria

  • Four distinct IAM roles created with appropriate permissions
  • Command registry maps all existing commands to quadrants
  • Router classifies commands and includes category in events
  • All existing workers deploy successfully with new roles
  • Unit tests pass with >80% coverage for classification logic
  • Documentation clearly explains the quadrant model
  • No regression in existing functionality

Future Phases (Not in this PR)

  • Phase 2: Separate execution paths (direct invocation for short-read)
  • **Pha...

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Copilot AI changed the title [WIP] Refactor ChatOps architecture for command isolation Implement quadrant-based IAM permission boundaries for ChatOps commands Dec 31, 2025
Copilot AI requested a review from llama90 December 31, 2025 19:04
@llama90 llama90 marked this pull request as ready for review January 10, 2026 22:30
Copilot AI and others added 5 commits January 10, 2026 17:37
- Created command-registry.ts with CommandMetadata interface and COMMAND_REGISTRY
- Categorized all commands into four quadrants (short-read, short-write, long-read, long-write)
- Added helper functions for querying commands by category and permissions
- Created comprehensive unit tests for command registry (23 tests, all passing)
- Updated infrastructure to define four IAM policy statements (one per quadrant)
- Added region restrictions and tag-based ABAC conditions to policies
- Applied appropriate policies to Lambda handlers based on their roles
- All tests pass, code builds successfully

Co-authored-by: llama90 <6668548+llama90@users.noreply.github.com>
- Updated write permission detection to use specific action names
- Fixed logic for distinguishing read vs write operations (e.g., athena:StartQueryExecution is read-only)
- All 32 tests now passing

Co-authored-by: llama90 <6668548+llama90@users.noreply.github.com>
- Extracted isWriteAction helper function to avoid code duplication
- Fixed incorrect 'StartDeploy' check to 'CreateDeployment' to match actual permissions
- All 32 tests passing

Co-authored-by: llama90 <6668548+llama90@users.noreply.github.com>
Replace command-specific workers with unified quadrant workers for
better scalability and maintainability.

**Workers (routing layer):**
- Remove: echo, build, deploy, status workers (command-specific)
- Add: SR (short-read) and LW (long-write) unified workers
- SR worker handles: /echo and future fast read commands
- LW worker handles: /build, /deploy and future write commands

**Handlers (business logic layer):**
- Extract command logic into reusable handlers
- handlers/echo.ts - Echo command logic
- handlers/build.ts - Build command logic
- Workers route to handlers based on command registry

1. **Extensibility**: New commands just need handler registration
2. **DRY**: Shared worker infrastructure for similar command types
3. **Performance**: Optimized timeouts and concurrency per quadrant
4. **Maintainability**: Clear separation of routing vs business logic

- Build system: package.sh, Makefile, component-config.sh
- CI/CD: slack-build.yml workflow
- Local dev: LocalStack setup, .env.local.example
- Documentation: CONFIGURATION.md, LOCAL-TESTING.md

Aligns with cloud-sandbox PR #14 which provisions:
- laco-plt-chatbot-command-sr-sqs queue
- laco-plt-chatbot-command-lw-sqs queue
- laco-plt-chatbot-command-sr-worker Lambda
- laco-plt-chatbot-command-lw-worker Lambda
@llama90 llama90 force-pushed the copilot/refactor-chatops-architecture branch from a04461b to 86f7017 Compare January 10, 2026 22:38
The deploy-%-local pattern rule was being shadowed by the deploy-% rule,
causing 'make deploy-sr-local' to incorrectly try building 'sr-local'
instead of 'sr'.

Make's pattern matching doesn't guarantee evaluation order, so explicit
targets are more reliable than trying to order pattern rules.

Changes:
- Remove deploy-%-local pattern rule
- Add explicit deploy-sr-local, deploy-lw-local, deploy-router-local targets
- All use same logic: build component, then deploy with --local flag
- deploy-all-local still works correctly

Fixes error: 'Unknown component: sr-local'
Update all performance test scripts and documentation to reference
the new SR (short-read) worker and queue names instead of the
deprecated echo worker.

Changes:
- Lambda: chatbot-echo-worker → chatbot-command-sr-worker
- Queue: chatbot-echo → chatbot-command-sr-queue
- Component name: echo-worker → sr-worker
- Updated analyze-performance.sh CloudWatch queries
- Updated analyze-e2e-json.sh log group references
- Updated README.md examples
- Fixed X-Ray segment handling in echo handler (test compatibility)
- Updated unit tests to test SR worker instead of echo worker
- Added performance-tests/results/*.png to .gitignore

This ensures E2E metrics are collected from the correct Lambda
function and SQS queue after the quadrant-based refactor.
Restore structured performance metrics logging that was present in
the original echo worker, enabling E2E latency tracking and component
breakdown analysis in CloudWatch.

Implementation matches the original echo/index.ts pattern from PR #18:
- SR worker collects timing metrics and logs 'Performance metrics'
- Handler returns syncResponseMs and asyncResponseMs
- Worker calculates E2E, queue wait, and total duration
- Metrics logged for both success and failure cases

Performance metrics fields:
- totalE2eMs: API Gateway → final response (end-to-end)
- workerDurationMs: Lambda execution time
- queueWaitMs: Time message spent in SQS (calculated)
- syncResponseMs: Sync Slack response time (from handler)
- asyncResponseMs: Async Slack response time (from handler)
- component: 'sr-worker' for CloudWatch filtering
- correlationId, command, success, errorType, errorMessage

Changes:
- Removed artificial 2-second sleep delay from echo handler
- Echo handler now returns HandlerResult with timing metrics
- SR worker logs structured metrics via logWorkerMetrics()

This restores server-side metrics collection after the quadrant-based
refactor, enabling performance test analysis scripts to work correctly.
@llama90 llama90 changed the title Implement quadrant-based IAM permission boundaries for ChatOps commands Implement quadrant-based lambda logic for ChatOps commands Jan 11, 2026
@llama90 llama90 merged commit 9e8e13f into main Jan 11, 2026
5 checks passed
@llama90 llama90 deleted the copilot/refactor-chatops-architecture branch January 11, 2026 01:00
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