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Deploy and manage AWS infrastructure with safety: VPC setup, EC2/ECS/EKS provisioning, IAM roles, RDS databases, and pre-deploy cost/safety checks via aws-cli.

Deploy and manage Azure infrastructure: VMs, AKS, App Service, databases, storage, networking, and Entra ID via az-cli with safety checks.

Optimize CI pipeline caching: layer caching, dependency caching, test splitting, and parallel execution strategies.

Use when CI pipelines are flaky, slow, or failing intermittently; diagnoses root causes from logs and configs and prescribes durable fixes.

Deploy and manage DigitalOcean infrastructure: Droplets, App Platform, Kubernetes, managed databases, spaces, and networking via doctl CLI.

Use before running untrusted or model-generated code, installs, or binaries: stand up a disposable, network-restricted sandbox, run it, then tear it down.

Audit application configuration: environment variables, secrets management, config validation, and environment parity.

Scan and harden container images: base image vulnerabilities, runtime permissions, distroless patterns, and admission policies.

Design disaster recovery strategies: RTO/RPO targets, backup automation, failover procedures, and DR testing.

Design multi-region active-active and active-passive architectures: data replication, failover, DNS routing, and consistency.

Design comprehensive observability: metrics, logs, traces, and profiles with SLO-driven alerting and dashboard design.

Design canary and progressive deployment strategies: traffic splitting, health metrics, automatic rollback, and analysis windows.

Design chaos engineering experiments: hypothesis formation, blast radius control, steady-state metrics, and game day execution.

Audit cloud infrastructure for cost optimization: right-sizing, reserved capacity, storage tiers, and waste elimination.

Use when a Dockerfile builds slowly, produces oversized images, or needs hardening; rewrites it for smaller, faster, and more secure builds.

Design reusable Infrastructure as Code modules: Terraform, Pulumi, and CloudFormation patterns for maintainable infrastructure.

Use after an incident is resolved to produce a blameless postmortem with a reconstructed timeline, contributing factors, and owned action items.

Use when reviewing or writing Kubernetes manifests; audits workloads for reliability, security, and cost issues and produces ready-to-apply fixes.

Write production SRE runbooks: alert response procedures, diagnostic steps, escalation paths, and post-action verification.

Deploy and manage Vultr cloud infrastructure: instances, Kubernetes, block storage, object storage, DNS, and firewalls via vultr-cli.