Performance Tuning

Dispatcher Performance Tuning (AMS)

Improve cache efficiency, latency, and throughput for AMS deployments that use the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration.

Variant Scope

• This skill is AMS-only.
• Scope is fixed by this skill directory; do not ask the user to choose deployment variant.

MCP Tool Contract

Use only these Dispatcher MCP tools:

• validate
• lint
• sdk
• trace_request
• inspect_cache
• monitor_metrics
• tail_logs

Workflow

1. Capture baseline metrics and cache evidence.
2. Apply AMS 6.5 guardrails (tier boundaries, variable-driven config, flush ACL safety) to candidate optimizations.
3. Prioritize low-risk/high-impact changes.
4. Apply minimal edits.
5. Verify with validate, lint, and sdk.
6. Compare before/after runtime evidence.

Verification Scope Selection

Use shared references to select optimization evidence depth:

• [mode-specific-verification-matrix.md](./references/dispatcher-foundation/mode-specific-verification-matrix.md)
• [test-case-catalog.md](./references/dispatcher-foundation/test-case-catalog.md)

Output Contract

Always return:

• baseline metrics snapshot
• prioritized optimization list with impact/risk
• changed files and intent
• executed checks + before/after evidence
• selected test IDs and outcomes
• rollback plan and open risks

Guardrails

• Do not claim improvement without measurable comparison.
• Keep high-risk tuning opt-in unless user explicitly requests it.
• Keep AMS assumptions explicit for each recommendation batch.

References

• [optimization-patterns.md](./references/performance-tuning/optimization-patterns.md)
• [performance-scenario-playbooks.md](./references/performance-tuning/performance-scenario-playbooks.md) – scenario-driven tuning flows adapted from broader MCP prompt surfaces
• [load-testing-guidance.md](./references/performance-tuning/load-testing-guidance.md)
• [performance-monitoring-setup.md](./references/performance-tuning/performance-monitoring-setup.md)
• [quick-start-execution-path.md](./references/dispatcher-foundation/quick-start-execution-path.md) – fast entry path for optimization requests
• [repo-layout-workflows.md](./references/dispatcher-foundation/repo-layout-workflows.md) – map performance findings to cache, farm, vhost, rewrite, and variable file families
• [playbook-command-linkage.md](./references/dispatcher-foundation/playbook-command-linkage.md) – exact MCP command chains for tuning playbooks
• [ams-6-5-guardrails.md](./references/dispatcher-foundation/ams-6-5-guardrails.md)
• [mode-specific-verification-matrix.md](./references/dispatcher-foundation/mode-specific-verification-matrix.md)
• [test-case-catalog.md](./references/dispatcher-foundation/test-case-catalog.md)
• [change-risk-and-rollback-template.md](./references/dispatcher-foundation/change-risk-and-rollback-template.md)
• [public-docs-index.md](./references/dispatcher-foundation/public-docs-index.md)
• [public-doc-citation-rules.md](./references/dispatcher-foundation/public-doc-citation-rules.md)
• [core-7-tools-reference.md](./references/dispatcher-foundation/core-7-tools-reference.md)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: adobe
• Source: adobe/skills
• License: Apache-2.0
• Homepage: https://www.adobe.com/ai/overview.html

Install and usage instructions live in the source repository linked above.