Performance Tuning

adobe/skills/plugins/aem/cloud-service/skills/dispatcher/performance-tuning

by adobe940b8795c0df3e25de68ce3881dc90855129b215Apache-2.0197 starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated today

Optimize performance of the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration for AEMaaCS cloud workflows only, with cloud-specific baseline and runtime verification.

Instructions onlyDevOps & Cloud
AI-generated overview

Tunes Adobe Dispatcher and HTTPD configuration performance for AEMaaCS cloud deployments using Dispatcher MCP tools.

What it does
Guides performance tuning of the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration for AEM as a Cloud Service deployments. It captures baseline metrics and cache evidence, applies cloud guardrails, prioritizes low-risk changes, makes minimal edits, and verifies with validate, lint, and sdk checks. It returns a baseline snapshot, a prioritized optimization list with impact and risk, changed files, before/after evidence, selected test IDs, and a rollback plan.
When to use it
Use when improving cache efficiency, latency, or throughput for cloud-service Dispatcher and HTTPD configurations. It is intended for cloud deployments only, with the deployment variant fixed by the skill directory. Edge, WAF, or CDN-only concerns are routed elsewhere rather than handled here.
Requirements
Requires a Dispatcher MCP configured for the cloud variant with AEM_DEPLOYMENT_MODE=cloud, and the tools validate, lint, sdk, trace_request, inspect_cache, monitor_metrics, and tail_logs. Ships no scripts; it is instructions plus reference documents.

Dispatcher Performance Tuning (Cloud)

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

Variant Scope

  • This skill is cloud-service-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 cloud guardrails (immutable/default includes, reserved probe paths, and CDN-vs-Dispatcher ownership) before proposing changes.
  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
  • 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 cloud assumptions explicit for each recommendation batch.
  • Route edge/WAF/CDN-only concerns to CDN layer guidance instead of Dispatcher config changes.

References

  • optimization-patterns.md
  • performance-scenario-playbooks.md – scenario-driven tuning flows adapted from broader MCP prompt surfaces
  • load-testing-guidance.md
  • performance-monitoring-setup.md
  • quick-start-execution-path.md – fast entry path for optimization requests
  • repo-layout-workflows.md – map performance findings to cache, farm, vhost, and rewrite file families
  • playbook-command-linkage.md – exact MCP command chains for tuning playbooks
  • mode-specific-verification-matrix.md
  • cloud-service-aemaacs-guardrails.md – cloud-service-only immutable/include/runtime boundary checks from AEMaaCS patterns
  • test-case-catalog.md
  • change-risk-and-rollback-template.md
  • public-docs-index.md
  • public-doc-citation-rules.md
  • core-7-tools-reference.md

Source and attribution

Source:adobe/skillsinplugins/aem/cloud-service/skills/dispatcher/performance-tuningat commit940b879

License: Apache-2.0

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