Cloud & DevOps Company in Seattle

The spread here reflects three genuinely different builds: a scoped cloud foundation engagement at Seattle rates, a full Kubernetes platform build (EKS or AKS with GitOps, service mesh, secrets, autoscaling, and SLO dashboards), or ongoing managed cloud operations. Scope drivers include an AWS or Azure landing zone, Terraform baseline, CI/CD pipelines, observability, and a documented runbook. Seattle rates run above Phoenix and Denver because of the AWS, Microsoft, and HashiCorp talent premium, but below San Francisco and New York for equivalent depth. We give fixed-fee proposals rather than open time and materials estimates.

Washington's My Health My Data Act took effect in March 2024 and is the strictest US consumer health-data law currently in force. It applies broadly to any business that collects, processes, shares, or sells consumer health data linked to Washington residents, well beyond traditional HIPAA covered entities. Cloud architectures must support granular consent capture, purpose limitation, data subject access and deletion within thirty days, geofenced storage that keeps regulated data inside auditable boundaries, and breach notification within prescribed windows. We build these controls into the platform via tag-based data classification, AWS Lake Formation or Azure Purview governance, immutable audit logs in S3 Object Lock, and consent state stored alongside transactional data. The Washington Attorney General has direct enforcement authority, and a private right of action exists, so retrofit is expensive.

Yes. We ship CMMC 2.0 Level 2 aligned environments on AWS GovCloud (US) and Azure Government for aerospace suppliers, defense contractors, and federal-adjacent clients in the Puget Sound region. Engagements include a System Security Plan (SSP) aligned with NIST SP 800-171, FIPS 140-2 validated cryptographic modules, customer-managed KMS keys with dedicated CloudHSM where required, segregated CI/CD with no commercial cloud bleed, and ITAR or EAR controlled-data flow documentation. We pair with the client's third-party assessor (C3PAO) for the formal CMMC audit and produce the body of evidence (BOE) artifacts ahead of assessment. DFARS 252.204-7012 incident reporting workflows feed directly into DC3 reporting templates. This is heavier than commercial work, scoped accordingly.

FinOps is not a quarterly cost-cutting exercise, it is a continuous discipline embedded in the platform. We instrument cost allocation tags at provisioning time via Terraform policy, build per-tenant and per-feature unit economics dashboards on AWS Cost Explorer, CUR, and tools like Vantage or CloudZero, and run weekly anomaly reviews against expected usage curves. Savings plans, reserved instances, Compute Savings Plans, and Graviton migration get evaluated against actual runtime profiles, not vendor decks. For Seattle SaaS clients scaling past USD $5M ARR we routinely surface fifteen to thirty percent cloud cost reductions in the first ninety days without touching application performance, often by killing zombie resources, right-sizing oversized RDS instances, and moving cold S3 data to Glacier Instant Retrieval or Deep Archive. Findings are documented for the finance team.

We ship deepest on AWS because Seattle's enterprise gravity sits there and us-west-2 hosts most local production workloads. AWS engagements cover EC2, EKS, Lambda, Fargate, RDS, Aurora, DynamoDB, S3, Glue, EMR, Athena, Redshift, Bedrock, SageMaker, and the security and governance suite (IAM Identity Center, Organizations, Control Tower, Security Hub, GuardDuty, Macie). Azure is a strong second specialization, particularly for Redmond-adjacent clients with deep Microsoft 365, Power Platform, and .NET commitments, where we ship on AKS, Azure Functions, Cosmos DB, Synapse, and Azure OpenAI Service. Google Cloud we deliver when BigQuery, Vertex AI, or specific GKE Autopilot patterns genuinely win on merit. We will tell you up front when multi-cloud is a real requirement and when it is architectural cosplay that doubles your operational burden.

Kubernetes upgrade pain is the most common reason Seattle SRE teams call us. We standardize on EKS or AKS with managed control planes, GitOps via Argo CD or Flux, Helm charts versioned in source control, and automated upgrade pipelines that test against staging clusters before touching production. Cluster autoscaling uses Karpenter on AWS or Cluster Autoscaler with KEDA for event-driven workloads. Service mesh is Istio or Linkerd when justified, never by default. Observability runs on Prometheus, Grafana, OpenTelemetry, and Datadog or Honeycomb. We document the platform as an internal developer platform (IDP) with Backstage or a lightweight equivalent so application teams can self-serve namespaces, secrets, and pipelines without filing tickets. Upgrade cadence stays inside the EKS or AKS supported version window so you never get forced into emergency upgrades.

We run on PagerDuty or Opsgenie with documented escalation policies, severity definitions (Sev 1 through Sev 4), and named on-call rotations rather than ambiguous group inboxes. Every production system ships with a runbook in source control, linked from alert payloads, that covers symptoms, immediate mitigations, and escalation paths. Postmortems are blameless, written within seventy-two hours, and tracked to closure with action items in the same backlog as feature work. For managed engagements we provide twenty-four by seven on-call with documented response SLAs (typically fifteen minutes for Sev 1, sixty minutes for Sev 2). Game days and chaos engineering exercises run quarterly using AWS Fault Injection Service or Gremlin so the runbooks stay honest. Our SREs sit in client Slack channels for hypercare, not behind a ticketing wall.

Yes, and most Seattle migration work we see is account consolidation rather than greenfield. A typical engagement starts with a six to eight week discovery covering workload inventory, dependency mapping with AWS Application Discovery Service or CloudEndure, IAM blast radius analysis, and Terraform import of existing resources. We then build the target landing zone in parallel under AWS Control Tower with Service Control Policies, AWS Organizations OUs aligned to your security boundary, and centralized logging into a dedicated log archive account. Migration runs in waves, prioritized by criticality and dependency depth, with cutover behind Route 53 weighted records or feature flags for application-layer cuts. We have migrated workloads off colocation facilities in Westin Building and Seattle Internet Exchange to us-west-2 with zero-downtime cutover where the application architecture allowed it.