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APM setup for Python applications (Django, Flask, FastAPI)
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Basierend auf der SOC-Berufsklassifikation
| name | apm-python |
| description | APM setup for Python applications (Django, Flask, FastAPI) |
Use when the user wants to add Elastic APM to a Python application.
elastic-apm package and correct server URL/token.pip install elastic-apm.elasticapm.contrib.django to INSTALLED_APPS and configure in settings.ElasticAPM(app, server_url=..., secret_token=...).elasticapm.contrib.starlette.ElasticAPM middleware.Debug and analyze LLM eval runs — view traces, compare runs, investigate failures, track costs. Use when debugging @kbn/evals failures, comparing eval runs, or analyzing LLM performance.
Start your security session with a personalized briefing — attacks, alerts, cases, rules, threat intel. Use as the first thing when starting security work.
Guide users from zero to a working Elastic cluster — Cloud or on-prem, connection config, first queries, and next steps.
Interactive guide for creating an APM service overview dashboard — discovers service data, presents metrics, and creates a tailored dashboard.
Interactive guide for creating SLOs from discovered APM and metric data — identifies candidates, lets user configure targets, and creates SLOs.
Create, configure, and manage Elasticsearch indices — mappings, settings, templates, data streams, and lifecycle policies.