Cloud Foundation & Guardrails
Landing zones, org/unit structure, network baselines, IAM guardrails, encryption-by-default, centralized logging, and hardened images.
We design and operate reliable, compliant, and cost-efficient cloud platforms on AWS, GCP, and Azure. Our approach blends platform engineering (landing zones, golden paths), GitOps and progressive delivery, SRE practices, and FinOps governance so teams can ship faster with less risk and lower total cost of ownership.
Landing zones, org/unit structure, network baselines, IAM guardrails, encryption-by-default, centralized logging, and hardened images.
Managed clusters with autoscaling and service mesh where needed; serverless for bursty/low-ops workloads to reduce operational overhead.
Multi-stage CI/CD with artifact provenance, policy gates, canary/blue-green rollouts, and automated health checks with safe rollbacks.
Logs, metrics, traces, and error budgets with actionable alerts, incident workflows, and postmortems to drive continuous reliability.
Policy-as-code, secrets management, SBOMs, vulnerability scanning, and alignment with SOC 2/ISO 27001/GDPR and CIS benchmarks.
Cost allocation (tags/labels), showback/chargeback, rightsizing, autoscaling and caching strategies to optimize spend and performance.
Current-state review of infra, delivery, security, and cost; baseline DORA & SRE maturity; risk register and quick-wins.
Target architecture, landing zone design, IAM/network model, compliance controls, and delivery approach with a clear rollout plan.
Terraform modules, environments, pipelines, observability stack, and guardrails with automated policy checks and drift detection.
Kubernetes/serverless enablement, GitOps controllers, deployment strategies, golden paths/templates, and self-service scaffolding.
Phased cutovers with data sync & validation, strangler patterns for monoliths, and rollback safety nets to minimize downtime.
Load and chaos tests, DR drills (RTO/RPO), security scans, runbook/playbook finalization, and readiness reviews.
On-call setup, SLO tracking, postmortems, cost governance, continuous hardening, enablement, and roadmap iterations.
AWS, GCP, and Azure. We run workloads on managed Kubernetes (EKS/GKE/AKS), serverless (Lambda/Cloud Functions/Azure Functions), and PaaS where appropriate.
We start with tagging and cost allocation for visibility, then apply rightsizing, autoscaling, lifecycle policies, and when suitable, spot/commitment discounts—always with guardrails.
Define SLOs and error budgets, design multi-AZ by default and multi-region when required, implement progressive delivery and automated rollbacks, and drill incidents regularly.
Yes. We align to CIS benchmarks and SOC 2/ISO 27001 practices, implement policy-as-code, encrypt data in transit/at rest, and provide audit logging and access reviews.
We run discovery and a migration blueprint, then execute phased cutovers with data sync/validation and rollbacks. For complex monoliths, we use the strangler-fig pattern.
IaC repos, diagrams, runbooks/playbooks, SLO dashboards, access model, and enablement sessions. We can remain on retainer for SRE/DevOps support.
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