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Résultats pour « Python »

Skills correspondant au nom, à la description ou à l’auteur GitHub.

Catégories: tools monitoring

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GitHub

python-micrometer-gcp-cloud-monitoring

dawiddutoit

Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and re...

GitHub

python-micrometer-sli-slo-monitoring

dawiddutoit

Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use when implementing availability and latency SLOs, creating SLO-aligned histogram buckets, m...

GitHub

observability-instrument-with-otel

dawiddutoit

Add OpenTelemetry instrumentation to service methods for distributed tracing and observability. Use when adding new service methods, debugging complex flows, investigating performance issues, or need distribute...

GitHub

python-micrometer-business-metrics

dawiddutoit

Implement domain-specific KPI metrics for business operations like charges, invoices, payments. Use when instrumenting service layer operations, measuring business process outcomes, implementing SLI/SLO monitor...

GitHub

python-micrometer-metrics-setup

dawiddutoit

Set up Micrometer metrics in a Spring Boot service from scratch, including dependencies, Actuator configuration, and registry customization. Use when starting a new microservice, configuring metrics export back...

GitHub

python-micrometer-cardinality-control

dawiddutoit

Prevent OutOfMemoryError from unbounded metric tags by implementing cardinality limits. Use when adding tags to Micrometer metrics, normalizing URIs or IDs to bounded categories, monitoring metric explosion, or...

GitHub

otel-logging-patterns

dawiddutoit

Implement OpenTelemetry (OTEL) logging with trace context correlation and structured logging. Use when setting up production logging with OTEL exporters, structlog/loguru integration, trace context propagation,...

GitHub

py-observability

CJHarmath

Observability patterns for Python backends. Use when adding logging, metrics, tracing, or debugging production issues.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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