Week 1–3
Baseline & landing zone
Account structure, networking (VPC, subnets, peering), IAM boundaries, and baseline guardrails (AWS Organizations SCPs, GCP org policies).
Platform
DevOps & Cloud Hosting
We treat infrastructure as software: reviewed modules, policy-as-code (OPA, Sentinel, or cloud-native), and environments promoted through pipelines. Kubernetes workloads get resource requests/limits, PDBs, network policies, and ingress TLS termination with cert-manager. Non-Kubernetes paths use managed services (RDS, Cloud SQL, Elasticache) with backup and restore drills documented.
IaC, Kubernetes, CI/CD, observability, and cost-aware operations on AWS, GCP, AzureDiscuss this service
When teams choose this
Situations we solve
- Terraform drift and click-ops changes cause outages—we enforce plan-only applies in CI and required reviews.
- No unified logs or traces—incident MTTR is high; we deploy OpenTelemetry collectors and service maps.
- Cloud bill grows faster than revenue—we right-size, implement autoscaling guardrails, and tag for chargeback.
Engagement shape
How delivery typically runs
Week 2–8
Delivery pipeline
CI builds, image registry, deployment automation, database migration job ordering, and canary or blue-green strategy.
Ongoing
Operate & improve
On-call runbooks, SLO dashboards, monthly cost reviews, and chaos or game-day exercises for critical paths.
Deliverables
What you can hold at the end
IaC repository
Modules with README, examples, and workspace layout for dev/stage/prod.
Observability stack
Dashboards, alerts with routing (PagerDuty/Opsgenie), and log retention policy.
DR and backup playbook
RPO/RTO targets, restore tests, and evidence for compliance questions.
Tooling
Stacks we commonly integrate
- Terraform, Pulumi, Ansible
- AWS, Google Cloud, Azure, Kubernetes (EKS, GKE, AKS)
- GitHub Actions, GitLab CI, Jenkins
- Prometheus, Grafana, Loki, Tempo, Datadog, Honeycomb
Outcomes
Metrics we align on
Daily+ (target)
Deploy frequency after pipeline maturity
35–55%
MTTR reduction with unified traces and logs
10–25% bill
Tagging and rightsizing savings (first pass)
Field note
SaaS on EKS with multi-tenant workloads
Deployments were manual kubectl from laptops; secrets lived in plaintext env files; no SLOs on API availability.
We introduced GitOps, sealed secrets, progressive delivery, and RED metrics per service. Failed deploys rolled back automatically and incident pages included trace IDs—MTTR fell and customer-visible outages shortened.
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Browse every practice area to see how we scope work, which stacks we use, and what outcomes we align on.