Terraform, Kubernetes, CI/CD pipelines, and observability — we build infrastructure that deploys automatically, scales elastically, and alerts you before your users notice problems.
From initial cloud setup to multi-region Kubernetes — we handle infrastructure so your team ships features.
Every resource version-controlled, peer-reviewed, and reproducible. No more clicking through cloud consoles or wondering what changed.
Container orchestration that auto-scales, self-heals, and keeps your services running — without requiring a dedicated platform team.
Automated build, test, and deploy pipelines that give your team confidence to merge and ship multiple times per day.
Metrics, logs, and traces unified in a single platform — with alerts that reduce MTTR instead of causing alert fatigue.
The tools and platforms we use to build reliable, automated infrastructure.
Lift-and-shift followed by cloud-native modernization — migrating 40 services from on-prem VMs to EKS with zero downtime over 6 months.
Replace manual deployment scripts with GitHub Actions workflows — reducing deployment time from 4 hours to 12 minutes with automated rollback.
Active-active deployment across US-East and EU-West with DNS-based routing, cross-region database replication, and automated failover testing.
CIS benchmark enforcement with Terraform Sentinel policies, automated SOC 2 evidence collection, and continuous compliance monitoring dashboards.
40% cloud cost reduction through right-sizing, Reserved Instances, spot instance strategies, and automated scaling policies based on traffic patterns.
Internal developer platform with self-service environments, one-click staging deploys, and golden path templates that reduce onboarding from weeks to hours.
Terraform modules for reproducible, version-controlled cloud infrastructure.
# Terraform — EKS cluster with managed node groups module "eks" { source = "terraform-aws-modules/eks/aws" version = "~> 20.0" cluster_name = "production" cluster_version = "1.31" eks_managed_node_groups = { workers = { instance_types = ["m7i.xlarge"] min_size = 3 max_size = 20 desired_size = 5 } } # Enable IRSA for pod-level IAM enable_irsa = true }
AWS for the broadest service catalog and largest talent pool. GCP for data/ML workloads and Kubernetes (GKE is excellent). Azure when you're a Microsoft shop with AD, Office 365, and .NET. We're certified on all three and help you choose based on existing investments, team skills, and specific service needs.
Not always. For fewer than 10 services, managed platforms like ECS Fargate, Cloud Run, or Azure Container Apps offer similar benefits with less operational overhead. Kubernetes makes sense when you need advanced networking, custom operators, multi-cloud portability, or when you have 20+ services.
HashiCorp Vault or AWS Secrets Manager for dynamic secrets with automatic rotation. Secrets are never stored in code, environment variables on disk, or CI/CD configs. We use External Secrets Operator in Kubernetes to sync secrets from Vault directly into pods.
We offer tiered support: (1) Setup-and-handoff where we build the infrastructure and train your team, (2) Managed support with 24/7 monitoring and incident response, or (3) Embedded engineer who works as part of your team. Most clients start with setup and transition to managed support.
Defense in depth: network segmentation with VPCs, least-privilege IAM policies, encrypted data at rest and in transit, CIS benchmark enforcement via policy-as-code, vulnerability scanning in CI, and regular penetration testing. All security controls are codified and auditable.
Let's build a DevOps foundation that makes deploying boring and scaling automatic.
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