We begin with a current-state assessment and a clear target architecture, then establish hardened baselines aligned to CIS benchmarks, repeatable infrastructure patterns, and cloud landing zones. From there we lay SRE foundations—SLOs and error budgets, runbooks, and on-call practices—so reliability is engineered into day-to-day operations.

Our migrations run in waves with rehearsed cutovers—blue/green, canary, or pilot-light DR—backed by a solid landing zone, network, and identity setup (hub-and-spoke or VPC/VNet). Data moves through replication or CDC with performance safeguards and rollback plans, so every step is both auditable and reversible.

We implement infrastructure-as-code pipelines with Terraform and enforce policy-as-code guardrails. CI/CD includes security gates, SBOM generation, secrets management, and artifact signing, while shift-left testing—SAST, DAST, and container scanning—reduces exposure long before production.

We evolve systems toward microservices or serverless where it makes sense, using event-driven designs, smart caching, and durable messaging to scale cleanly. Data platforms are selected and shaped for throughput and resilience, and observability is wired in from day one with logs, metrics, and traces that reflect real user impact.

Once live, we operate the platform around the clock with proactive monitoring, patching, backup and DR drills, and continuous vulnerability management. Incident response and RCA/post-mortems feed change and release governance, while monthly FinOps reviews and reliability/cost scorecards keep improvements visible and compounding.