Browse Skills

Design and implement canary release strategies with automated analysis, traffic shifting policies, rollback triggers, and compliance-ready governance for progressive delivery pipelines.

Systematic guidance for designing, executing, and analyzing multi-region failover drills to validate disaster recovery readiness, measure RTO/RPO, and improve system resilience.

Design, optimize, and scale GitLab CI/CD pipelines for any project size. Produces production-ready .gitlab-ci.yml configurations with caching, parallelization, security scanning, and compliance patterns.

Design and optimize CI/CD pipelines for monorepo architectures. Provides task orchestration, caching strategies, affected-command patterns, and release coordination for multi-package repositories using Nx, Turborepo, or Bazel.

Expert guidance for deploying and managing containerized applications on Google Cloud Run — from container optimization and autoscaling to IAM security, VPC networking, and cost management.

Design CDN architectures with edge functions, caching strategies, cache invalidation patterns, and geographic routing for optimal web performance and scalability.

Design and operate Terraform state management strategies including remote backends, state locking, workspace topology, state splitting, migration, and disaster recovery for team-scale infrastructure-as-code workflows.

Deploy, optimize, and operate web applications on Vercel with production-grade configuration, serverless function tuning, edge caching, security hardening, and cost optimization.

Design declarative delivery workflows using ArgoCD, Flux, or similar GitOps tools with drift reconciliation, progressive delivery, and multi-cluster strategies.

Design progressive delivery strategies using feature flags for safe rollouts, experimentation, and operational control.

Design and implement production-grade Azure infrastructure using Terraform with enterprise landing zone patterns, module composition, security hardening, and cost optimization.

Build production-grade applications on Firebase with expert guidance on Firestore data modeling, Security Rules, Cloud Functions, Authentication, and cost optimization.

Apply SRE error budget principles to frontend applications — define client-side SLIs/SLOs, implement burn rate alerting, and use error budgets to balance feature velocity with frontend reliability.

Design, implement, debug, and optimize Kubernetes networking — from Services and Ingress to service meshes, network policies, and multi-cluster connectivity.

Expert load testing advisor that guides teams through performance testing strategy, test scenario design, capacity planning, and bottleneck identification using tools like k6, Gatling, and Locust with CI/CD integration and SLA validation approaches.

Design and implement service mesh architectures using Istio, Linkerd, or similar technologies with mTLS, traffic management, circuit breaking, canary routing, and observability integration.

Design production-grade AWS Step Functions workflows with proper state machine patterns, error handling, saga orchestration, and cost-optimized execution strategies.

Plan and execute multi-cloud and cloud-to-cloud migrations with minimal risk, downtime, and vendor lock-in.

Design robust release engineering processes covering build systems, artifact management, versioning, and deployment orchestration.

Strategic guidance for designing and optimizing Google Cloud Platform architectures and data-intensive workloads.

Designs production-ready containerization strategies with Docker and orchestration. Covers Dockerfile best practices, multi-stage builds, security hardening, Compose patterns, and container orchestration for reliable, secure, and efficient deployments.

Designs structured logging architectures with consistent log schemas, severity levels, aggregation pipelines, search patterns, retention policies, and compliance-aware log management strategies.

Designs and optimizes CI/CD pipelines for modern software delivery. Covers GitHub Actions, GitLab CI, pipeline stages, testing strategies, deployment patterns, rollback mechanisms, and pipeline security for fast, reliable, and safe software releases.

Design and deploy edge computing architectures for low-latency, distributed workloads across edge locations and IoT environments.