dynatrace/dynatrace-for-ai

dt-js-runtime

Dynatrace server-side JS runtime — function contract, runtime limits, Web APIs, Node.js modules, fetch with credential vault, and the @dynatrace-sdk/ catalog.

Voir la source

Mode d’emploi

  1. Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
  2. Consultez le document original pour les outils, identifiants et environnements requis.
  3. Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/dynatrace/dynatrace-for-ai --skill dt-js-runtime

Avant de commencer

  • L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
  • Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original

Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.

Dynatrace JavaScript Runtime

The Dynatrace JS runtime is a server-side AppEngine sandbox that executes JavaScript/TypeScript.

Function contract

Every entry point must export a default async function:

js
export default async function () {
  // ...
  return result;
}

ES module syntax required. TypeScript accepted (type annotations, interfaces, generics). No other export shape is supported.

References

Start here, then load only the file you need.

FileWhen to load
references/limits-and-restrictions.mdTimeout / memory / I/O quotas; what's forbidden (eval, WebSocket, sockets, filesystem)
references/apis-and-modules.mdWhich Web APIs and Node.js compat modules are available (fetch, crypto, streams, buffer, …)
references/fetch.mdCalling internal /platform/... APIs or external URLs, credential vault, outbound allowlist
references/sdk.mdAny @dynatrace-sdk/* package — the index routes you to the right per-SDK file

Running a function with dtctl

Use dtctl exec function to run JS runtime code without deploying an app.

dtctl
# Run inline code
dtctl exec function --code 'export default async function() { return "hello" }'

# Run from file
dtctl exec function -f script.js

# Pass JSON input — the parsed object is the function's argument
dtctl exec function -f script.js --payload '{"key":"value"}'

The function may accept an optional parameter. --payload is parsed and passed as that argument directly — it is not wrapped in an event.payload field:

js
export default async function(payload) {
  // with --payload '{"key":"value"}', payload is {"key": "value"}
  return payload.key;
}

Load the `dynatrace-control` skill for authentication setup, context switching, and the full exec function reference.

Tâches connexes

du même dépôt

Autres Skills

Tous les Skills
dynatrace
Communauté

dt-alerting

End-to-end Dynatrace alerting lifecycle — anomaly detector setup and model selection (static threshold, adaptive baseline, seasonal baseline), alert event storage in Grail, problem grouping and denoising by root cause analysis, and workflow-based notification routing (email, Slack, ServiceNow, webhook). Use when configuring alerting, choosing between detector types, querying alert event history, understanding why alerts merged into a problem, or setting up problem-triggered notifications.

installations
3
GitHub Stars
166
Mis à jour
1 oct.
dynatrace
Communauté

dt-app-dashboards

Work with Dynatrace dashboards - create, modify, query, and analyze dashboard JSON including tiles, layouts, DQL queries, variables, and visualizations.

installations
3
GitHub Stars
166
Mis à jour
1 oct.
dynatrace
Communauté

dt-app-notebooks

Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, and visualizations.

installations
3
GitHub Stars
166
Mis à jour
1 oct.
dynatrace
Communauté

dt-dql-essentials

Core DQL syntax, pitfalls, query patterns, and query optimization. Load to write, build, fix, or OPTIMIZE a DQL query — prevents syntax errors and makes queries faster, more efficient, and cheaper (less data scanned = lower query consumption/cost per run). Covers fetch commands, data models, field namespaces, time alignment, entity/smartscape patterns, metric discovery, and performance/cost optimization (filter early, bucket filters, short time ranges, field selection, sampling, cardinality). Tr

installations
3
GitHub Stars
166
Mis à jour
1 oct.