Total 30,438 skills, DevOps & Cloud Services has 1890 skills
Showing 12 of 1890 skills
Use when adding logging to services, setting up monitoring, creating alerts, debugging production issues, designing SLIs/SLOs, or implementing structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), or distributed tracing (OpenTelemetry).
Build Firefox CI worker images by triggering GitHub Actions workflows in mozilla-platform-ops/worker-images. Supports FXCI Azure workflows for Windows image builds (trusted and untrusted). Use when: - User wants to build a worker image - User mentions "FXCI Azure", "worker image build", or specific pool names like "win11-64-24h2-alpha" - User wants to trigger image builds for Windows 10, Windows 11, or Windows Server 2022 - User asks to check status of a worker image build Triggers: "build image", "worker image", "FXCI Azure", "trigger build", "image build status"
Azure Key Vault Keys SDK for Rust. Use for creating, managing, and using cryptographic keys. Triggers: "keyvault keys rust", "KeyClient rust", "create key rust", "encrypt rust", "sign rust".
Build the project, commit all changes, and deploy directly to main. Use when deploying changes to production.
Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.
Publish @autumnsgrove/groveengine to npm with proper registry swap workflow. Use when releasing a new version of the engine package to npm.
Analyze failed GitHub Action jobs for a pull request.
Manage Spice.ai Cloud infrastructure with Terraform or OpenTofu. Use when writing Terraform configs for Spice apps, deployments, secrets, members, or when importing existing Spice.ai resources into Terraform state.
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
Deploy Evernote integrations to production environments. Use when deploying to cloud platforms, configuring production, or setting up deployment pipelines. Trigger with phrases like "deploy evernote", "evernote production deploy", "release evernote", "evernote cloud deployment".
Deploy Exa integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Exa-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy exa", "exa Vercel", "exa production deploy", "exa Cloud Run", "exa Fly.io".
Prepare and execute deployments with pre-flight checks, release notes generation, and CI/CD integration. NEVER auto-deploy. Use when user explicitly says "deploy", "release", or "go live".