Docker & Kubernetes, Production-Ready from Day One
Every project ships in containers. Complex deployments get Kubernetes orchestration with auto-scaling, monitoring, and infrastructure-as-code.
Technology: Docker & Kubernetes (DevOps & Infrastructure)
Docker and Kubernetes form the foundation of our deployment infrastructure. Every project we deliver is containerized with Docker for consistency across environments, and complex deployments use Kubernetes for orchestration, scaling, and self-healing. Our DevOps teams configure CI/CD pipelines, monitoring, and infrastructure-as-code from day one.
What We Build
- Containerized Deployment Pipelines: Docker-based CI/CD pipelines that build, test, and deploy your application consistently from development to production.
- Kubernetes Clusters: Production Kubernetes environments with auto-scaling, health checks, rolling deployments, and secrets management.
- Microservices Infrastructure: Service mesh configuration, inter-service communication, centralized logging, and distributed tracing for microservice architectures.
- Developer Environment Standardization: Docker Compose setups that give every developer an identical local environment, eliminating "works on my machine" issues.
Expertise
- Containerized Projects: 200+ (Docker on every project)
- Kubernetes Clusters Managed: 30+
- Average Deployment Frequency: Multiple times per day
- Infrastructure-as-Code: Terraform, Pulumi, Helm
Sample Projects
- Kubernetes Platform for SaaS: Production Kubernetes cluster on AWS EKS with auto-scaling, monitoring, logging, and CI/CD for a multi-service SaaS platform. (200 hours)
- EKS cluster with Terraform IaC
- Horizontal pod autoscaler
- Datadog monitoring and alerting
- GitHub Actions CI/CD with Helm deployments
- Docker-Based Development Environment: Docker Compose setup for a 10-service microservice application with hot reload, local databases, and mock external services. (80 hours)
- Single `docker compose up` for full stack
- Hot reload for all services
- Seeded databases with test data
- Mock services for third-party APIs
- Multi-Region Deployment: Kubernetes-based multi-region deployment with global load balancing and data replication for a real-time collaboration tool. (300 hours)
- Multi-region EKS clusters
- Global load balancing with Route 53
- Cross-region database replication
- Automated failover with health checks
Frequently Asked Questions
- Does every project need Kubernetes?
- No. Every project uses Docker for consistent environments, but Kubernetes is only added when you need auto-scaling, multi-service orchestration, or high-availability requirements. Simple projects deploy with Docker on a single server or serverless platform.
- Which cloud providers do you support?
- We deploy to AWS (EKS), Google Cloud (GKE), and Azure (AKS). We also support DigitalOcean, Fly.io, and Railway for smaller projects. All infrastructure is defined as code so you can switch providers if needed.
- Do you set up monitoring and alerting?
- Yes. Every deployment includes monitoring (Datadog, Grafana, or CloudWatch), structured logging, and alerting for critical metrics. You will know about issues before your users do.