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Software Engineering Services
Technology ServicesContainer OrchestrationVirginia · US-Based

Kubernetes Deployment

We design and deploy production Kubernetes clusters for teams that need reliable container orchestration, horizontal autoscaling, and GitOps delivery pipelines. All engineering is done in-house, in Virginia.

KubernetesAmazon EKSHelmDockerTerraformGitHub ActionsPrometheusGrafanaNginx IngressPostgreSQLAWS ECR

Capabilities

What we run on Kubernetes

We scope the cluster design, workload placement, and delivery pipeline before any infrastructure is provisioned. The goal is a cluster your team can understand, operate, and extend without depending on whoever set it up.

Long-running services

Production Application Hosting

Web applications and APIs that need reliable uptime, rolling deployments, and automatic restarts on failure. Kubernetes handles the scheduling and keeps services running without manual intervention.

Service decomposition

Microservices Architecture

Multiple services that communicate, scale independently, and deploy on different cadences. We design the service mesh, the inter-service communication model, and the deployment strategy before build work begins.

Lift and modernize

Container Migration

Moving applications from bare metal, VMs, or older container setups into a managed Kubernetes environment. We assess what needs to change at the application level, not just the infrastructure level.

Staging · Production

Multi-Environment Deployments

Staging and production environments that run identical infrastructure with environment-specific configuration managed through Helm values and Kubernetes ConfigMaps and Secrets.

HPA · Health checks

High-Availability APIs

APIs that need horizontal pod autoscaling, liveness and readiness probes, and zero-downtime rolling deployments. We set resource requests and limits on every workload so the scheduler can make good decisions.

CronJobs · Jobs

Batch and Scheduled Workloads

Data processing tasks, report generation, and maintenance operations running as Kubernetes CronJobs with resource limits, retry policies, and observability built into the job spec.

Our approach

Cluster design before provisioning

Before creating a cluster, we map the workloads, define the namespace strategy, and agree on the RBAC model. A Kubernetes cluster that was not designed deliberately tends to accumulate technical debt quickly, because the platform is flexible enough that almost anything will run on it, even configurations that will cause problems later.

We set resource requests and limits on every workload from the start. This is the single biggest operational improvement we make on clusters that were set up quickly without those constraints, and it directly affects scheduler behavior, autoscaling accuracy, and cost.

GitOps delivery model

We deliver cluster changes through a Git-based pipeline. The desired state of the cluster lives in version control. A pull request is how you change what runs in production, which means every deployment is reviewed, traceable, and reversible. We use GitHub Actions for the CI layer and Helm for packaging application deployments.

Monitoring from day one

We deploy Prometheus and Grafana as part of the cluster setup, not as an afterthought. Dashboards for pod health, resource consumption, and request latency are ready before the first application workload is deployed. Alerting rules are configured for the conditions that actually matter: OOMKill events, CrashLoopBackOff cycles, and HPA scaling limits.

Secrets that stay secret

We integrate with AWS Secrets Manager or a similar backend so that plaintext credentials never land in the repository. Helm values files reference secret keys; the actual values are pulled at deploy time. This approach works consistently across environments without requiring separate secret management workflows for each one.

cluster-spec.json
platform: [
"Amazon EKS"
]
packaging: [
"Helm 3"
]
infrastructure: [
"Terraform"
]
registry: [
"AWS ECR"
]
delivery: [
"GitHub Actions"
]
monitoring: [
"Prometheus",
"Grafana"
]
ingress: [
"Nginx",
"AWS ALB"
]
engineering: [
"Virginia, United States"
]

All engineering work is done by US-based engineers. We do not offshore any development or architecture work.

Part of our software engineering services. We work across the full stack, cloud platforms, and architectural patterns.

FAQ

Common questions

Virginia · United States

Ready to run on Kubernetes?

If you are planning a container migration, evaluating EKS, or dealing with a cluster that has grown beyond what you can confidently operate, reach out and we will assess the situation before any commitment is made.