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DevOps & Automation
Docker & Kubernetes Services
Docker containerization and Kubernetes orchestration services. We containerize applications and deploy them on production-grade Kubernetes clusters.
Get Started80%
Faster Releases
99.9%
Deploy Success
Zero-Downtime
Deploys
Full
Observability
Service Category
Container Orchestration
Ideal For
Teams needing containerization and Kubernetes orchestration for scalable, reliable deployments.
Timeline
3 – 8 weeks
Why Choose MicrocosmWorks for Docker & Kubernetes?
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 — turning complex operations into automated workflows.
Our Docker & Kubernetes Capabilities
- Application Containerization — Create optimized Docker images with multi-stage builds, minimal base images, and proper layer caching.
- Kubernetes Cluster Design — Set up production-grade clusters with proper node pools, networking, storage, and security configurations.
- Deployment Automation — Implement GitOps workflows with ArgoCD, Helm charts, and automated rollback for reliable deployments.
- Auto-Scaling Configuration — Set up horizontal pod autoscaling, cluster autoscaling, and vertical pod autoscaling for cost-efficient resource usage.
- Service Mesh & Networking — Implement Istio or Linkerd for traffic management, mutual TLS, and fine-grained observability between services.
- Monitoring & Logging — Deploy Prometheus, Grafana, and centralized logging for full cluster and application observability.
Technology Stack
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.
Who This Is For
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.
Our Process
1
Containerization
Create optimized Dockerfiles, set up build pipelines, and configure container registries.
2
Cluster Design
Design Kubernetes cluster architecture — node pools, networking, storage, and security policies.
3
Deployment Setup
Create Helm charts, configure GitOps with ArgoCD, and implement deployment strategies.
4
Scaling & Resilience
Configure auto-scaling, pod disruption budgets, health checks, and resource limits.
5
Monitoring & Operations
Deploy observability stack, set up alerting, document runbooks, and train the operations team.
Technology Stack
Containers
DockerBuildkitMulti-StageDistrolessPodman
Orchestration
KubernetesEKSGKEAKSKarpenter
Deployment
HelmArgoCDKustomizeFluxSkaffold
Observability
PrometheusGrafanaLokiJaegerIstio
Industries We Serve
SaaSEnterpriseFinTechE-CommerceGamingMedia
Ready to Adopt Containers & Kubernetes?
Let's containerize your applications and deploy them on production-grade Kubernetes infrastructure.
Frequently Asked Questions
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.