Docker containerization and Kubernetes orchestration services. We containerize applications and deploy them on production-grade Kubernetes clusters.
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Containers and Kubernetes provide the foundation for scalable, portable, and efficient application deployment. We implement containerization that optimizes image sizes and build times, and Kubernetes deployments that auto-scale, self-heal, and deploy with zero downtime β turning complex operations into automated workflows.
We deploy on EKS (AWS), GKE (GCP), or AKS (Azure) with Helm for package management, ArgoCD for GitOps, Istio for service mesh, and Prometheus/Grafana for monitoring. Container images built with Docker multi-stage builds and stored in ECR, GCR, or GitHub Container Registry.
Teams moving from VM-based deployments to containers, companies needing multi-service orchestration, or organizations wanting consistent deployment patterns across environments. Whether you're containerizing your first app or scaling an existing Kubernetes deployment, we deliver production-grade solutions.
Create optimized Dockerfiles, set up build pipelines, and configure container registries.
Design Kubernetes cluster architecture β node pools, networking, storage, and security policies.
Create Helm charts, configure GitOps with ArgoCD, and implement deployment strategies.
Configure auto-scaling, pod disruption budgets, health checks, and resource limits.
Deploy observability stack, set up alerting, document runbooks, and train the operations team.
Let's containerize your applications and deploy them on production-grade Kubernetes infrastructure.
We offer Kubernetes cluster setup and management, application containerization, Helm chart development, service mesh configuration, autoscaling, monitoring, and migration of existing applications to Kubernetes on AWS EKS, GKE, or Azure AKS.
Docker and Kubernetes consulting and development at MicrocosmWorks ranges from $20-$50/hour, covering containerization, cluster management, deployment automation, and performance optimization.
Yes, we containerize legacy applications by creating optimized multi-stage Dockerfiles, configuring health checks, implementing proper signal handling, externalizing configuration, and setting up Docker Compose for local development environments.
We configure Horizontal Pod Autoscalers based on CPU, memory, or custom metrics, implement Vertical Pod Autoscalers for right-sizing, and use cluster autoscalers like Karpenter to automatically provision and deprovision nodes based on demand.
Yes, we set up GitOps workflows using ArgoCD or Flux where all Kubernetes manifests are version-controlled in Git. Changes are automatically synced to clusters, providing a complete audit trail and easy rollback capabilities.