opentelemetry
OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting
OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting
Production gRPC in Go: protobuf layout, codegen, interceptors, deadlines, error codes, streaming, health checks, TLS, and testing with bufconn
Configure Amazon CloudFront for global content delivery. Set up distributions with S3 and ALB origins, define cache behaviors and TTLs, invalidate cached content, and use Lambda@Edge for request/response manipulation at the edge.
Assists with managing JavaScript/TypeScript monorepos using Turborepo. Use when configuring build pipelines, setting up caching, pruning workspaces for Docker, or optimizing CI/CD for monorepo projects. Trigger words: turborepo, turbo, monorepo, pipeline, workspace, remote cache, turbo.json.
Local text-to-speech via sherpa-onnx (offline, no cloud)
Show migration progress by comparing legacy quotevote-monorepo against current quotevote-next implementation
Setting up a Capsem development environment from scratch. Use when onboarding a new developer, setting up a new machine, or troubleshooting environment issues. Covers prerequisites, first-time setup, tool installation, VM asset builds, container runtime configuration (Colima/Docker memory and CPU requirements), and verification steps.
Building Capsem VM images with capsem-builder. Use when working with guest image configuration, Dockerfiles, kernel builds, rootfs builds, the builder CLI, or guest config TOML files. Covers the config-driven build system, guest config layout, Dockerfile templates, multi-arch support, the builder CLI commands, AND the internal architecture for modifying the builder itself (models, context flow, template variables, adding install managers).
Manages Kubernetes clusters and Helm charts. Use when the user wants to write Kubernetes manifests, create Helm charts, deploy applications, debug pods, configure networking (services, ingress), set up autoscaling, manage secrets and config maps, write operators, troubleshoot cluster issues, or implement GitOps workflows. Trigger words: kubernetes, k8s, kubectl, helm, helm chart, pod, deployment, service, ingress, namespace, configmap, secret, hpa, pvc, statefulset, daemonset, cronjob, operator, kustomize, argocd, flux, gitops, node pool, taint, toleration, affinity.
Expert guidance for Kyverno, the Kubernetes-native policy engine that validates, mutates, and generates resources using YAML policies (no Rego required). Helps developers enforce security policies, automate resource defaults, and ensure compliance across Kubernetes clusters.
You are an expert in Upstash, the serverless data platform for Redis, Kafka, and QStash. You help developers add caching, rate limiting, session storage, message queuing, and scheduled jobs to serverless and edge applications — with HTTP-based APIs that work on Vercel Edge, Cloudflare Workers, and AWS Lambda without persistent connections.
Assists with managing secrets, encryption keys, and dynamic credentials using HashiCorp Vault. Use when configuring secret engines, setting up dynamic database credentials, implementing access policies, integrating with Kubernetes, or using Transit for encryption as a service. Trigger words: vault, secrets management, dynamic secrets, transit engine, pki, approle, vault agent.
Analyzes Kubernetes cluster resource allocation versus actual usage to find waste and generate right-sizing recommendations. Use when someone asks about Kubernetes costs, overprovisioned pods, resource requests/limits tuning, cluster efficiency, or cloud bill reduction for K8s workloads. Trigger words: k8s costs, pod resources, right-size, overprovisioned, resource waste, cluster optimization, CPU/memory requests.
Deploy web applications to any server with Kamal — zero-downtime Docker deployments without Kubernetes. Use when someone asks to "deploy to a VPS", "deploy without Kubernetes", "Kamal deploy", "simple Docker deployment", "deploy Rails/Node/Python to a server", "zero-downtime deployment to bare metal", or "replace Heroku with a VPS". Covers Docker-based deployment, zero downtime with Traefik, multi-server, secrets, and accessory services.
Full-stack observability with Datadog APM, logs, metrics, synthetics, and RUM. Use when implementing monitoring, tracing, alerting, or cost optimization for production systems.
Deploy and configure Zipkin for distributed tracing and request flow visualization. Use when a user needs to set up trace collection, instrument Java/Spring or other services with Zipkin, analyze service dependencies, or configure storage backends for trace data.
Deploy and configure Thanos for long-term Prometheus metric storage, global querying across multiple Prometheus instances, and data compaction. Use when a user needs durable metric storage in object storage, a unified query view across clusters, downsampling for historical data, or high-availability Prometheus with deduplication.
Configure Telegraf as a metrics collection agent for infrastructure and application monitoring. Use when a user needs to collect system metrics, set up input plugins for databases and services, configure output to InfluxDB or Prometheus, or build custom metric pipelines.
Configure Prometheus Alertmanager for alert routing, grouping, silencing, and notification delivery. Use when a user needs to set up alert receivers (Slack, PagerDuty, email), define routing trees, manage silences and inhibition rules, or troubleshoot alert delivery pipelines.