python-micrometer-core
Instrument Java/Spring Boot applications with observability metrics. Use when adding metrics to microservices, integrating with monitoring systems (Prometheus, Cloud Monitoring), managing metric cardinality, or...
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Instrument Java/Spring Boot applications with observability metrics. Use when adding metrics to microservices, integrating with monitoring systems (Prometheus, Cloud Monitoring), managing metric cardinality, or...
Diagnose and fix common GKE issues including pod failures, networking problems, database connection issues, and Pub/Sub errors. Use when pods are stuck in Pending, CrashLoopBackOff, ImagePullBackOff, experienci...
Performs backup and restoration operations for network infrastructure including Docker volumes (Pi-hole, Caddy certificates), configuration files, and .env secrets. Use when backing up infrastructure before cha...
Optimize Google Kubernetes Engine costs through right-sizing resources, choosing cost-effective cluster modes, and implementing autoscaling strategies. Use when analyzing GKE spending, comparing Autopilot vs St...
Deploy and update applications on GKE using rolling updates, blue-green deployments, and health checks. Use when deploying new versions, rolling back failed deployments, configuring Spring Boot health probes (l...
Provision and manage cloud infrastructure using Infrastructure as Code. Use when creating or modifying GCP resources, managing Pub/Sub topics and subscriptions, configuring IAM bindings, deploying multi-environ...
Provision and manage GCP resources with Terraform. Use when working with Pub/Sub topics/subscriptions, GKE clusters, Cloud SQL, IAM roles, Cloud Storage, VPCs, service accounts, or any GCP service. Covers provi...
Handle sensitive data securely in Terraform. Use when managing passwords, API keys, database credentials, encryption keys, or other secrets. Covers Google Secret Manager integration, preventing secrets in state...
Implement Workload Identity for secure, keyless authentication between GKE pods and Google Cloud services. Use when setting up pod authentication to Pub/Sub, Cloud SQL, Secret Manager, or other GCP services. El...
Set up and configure Google Kubernetes Engine (GKE) clusters for production use. Use when creating new GKE clusters, choosing between Autopilot vs Standard modes, configuring networking (VPC-native, private clu...
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...
Set up logging, metrics, distributed tracing, and alerting for GKE applications. Use when configuring Cloud Logging, creating dashboards in Cloud Monitoring, instrumenting Spring Boot with metrics, setting up a...
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...
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...
Analyze OpenTelemetry logs with trace reconstruction, error analysis, and AI-powered debugging. Use when investigating errors, checking logs, debugging issues, viewing traces, or analyzing execution flow. Works...
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...
Create and configure Home Assistant graphs and visualizations including history-graph, statistics-graph, mini-graph-card (HACS), and apexcharts-card (HACS) with time ranges, multiple sensors, aggregations, and...
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...
Implement type-safe Kafka producers for event streaming with msgspec serialization. Use when building async/await producers that publish domain events (orders, transactions, etc.) with schema validation, error...
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...
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,...
Test custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles an...
Enforce type safety in all tests: type annotations for test functions and fixtures, mock autospec patterns, mypy configuration for tests, type-safe assertions, generic type handling in mocks. Includes protocol-...
Patterns for creating reusable test data: factory functions for domain objects, builder patterns for complex objects, fixture factories, parameterized test data, test data inheritance, and type-safe test data g...
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