Srapsware
Docker & Kubernetes

Container Orchestration Solutions

Containerize applications and orchestrate them at scale with Docker and Kubernetes. Deploy anywhere, scale infinitely, reduce resource usage by 90%.

Docker Containerization

Docker Containers

Containerize Everything with Docker

Docker containers package your application with all dependencies into a single, portable unit. Your app runs identically on dev laptops, staging servers, and production cloud - eliminating "works on my machine" forever.

We optimize Dockerfiles for minimal image size, implement multi-stage builds, set up private registries (Docker Hub, AWS ECR, GCR), and create efficient CI/CD pipelines that build, scan, and deploy containers automatically.

Orchestrate at Scale with Kubernetes

Kubernetes (K8s) manages thousands of containers across multiple servers, handling deployment, scaling, health checks, and self-healing automatically. It's the de facto standard for container orchestration.

We design production-grade K8s clusters on AWS EKS, Google GKE, Azure AKS, or on-premise. You get automated scaling, zero-downtime deployments, service discovery, load balancing, and secrets management out of the box.

Kubernetes Orchestration

K8s Cluster

500+
Containers Deployed
80%
Infrastructure Cost Savings
99.95%
Cluster Uptime
5 min
Average Deploy Time

Container & Orchestration Capabilities

End-to-end container solutions from Docker optimization to production Kubernetes clusters

Docker Containerization & Optimization

Containerize legacy and modern applications with optimized Dockerfiles, multi-stage builds for minimal image sizes, vulnerability scanning, and private registry setup (Docker Hub, AWS ECR, Google Artifact Registry).

Multi-Stage Builds
Image Scanning
Layer Caching

Kubernetes Cluster Management

Production-grade K8s clusters on AWS EKS, GKE, AKS, or on-premise with high availability, auto-scaling, monitoring, logging, and disaster recovery. Managed or self-hosted options available.

EKS/GKE/AKS
Auto-Scaling
HA Setup

Helm Charts & Packaging

Reusable Kubernetes packages with versioning and templating

Security & Secrets Management

Kubernetes Secrets, HashiCorp Vault, encrypted volumes

Auto-Scaling & Load Balancing

Horizontal Pod Autoscaling (HPA) based on CPU/memory/custom metrics, Vertical Pod Autoscaling (VPA), Cluster Autoscaler for node scaling, and Ingress controllers (NGINX, Traefik, Istio) for intelligent traffic routing.

HPA/VPA/CA
Ingress Controllers
Custom Metrics

Monitoring & Observability

Prometheus, Grafana, ELK stack, distributed tracing with Jaeger

CI/CD Integration

Automated builds, tests, and K8s deployments with GitOps (ArgoCD/Flux)

Service Mesh (Istio/Linkerd)

Advanced traffic management, security, and observability

PostgreSQL
Docker
Kubernetes
AWS
Nginx

Container & Orchestration Stack

Technologies we use to build, deploy, and manage containerized applications

5
Expert Level
4
Advanced Level

Why Kubernetes for Production?

The benefits that make Kubernetes the industry standard for container orchestration

Self-Healing

Kubernetes automatically restarts failed containers, replaces unhealthy pods, and reschedules workloads on healthy nodes without manual intervention.

99.99% Uptime

Auto-Scaling

Scale pods and nodes automatically based on CPU, memory, or custom metrics. Handle traffic spikes without over-provisioning infrastructure.

Elastic Scaling

Zero-Downtime Deploys

Rolling updates, blue-green deployments, and canary releases ensure new versions deploy without service interruption or user impact.

Continuous Delivery

Cloud Portability

Run the same workloads on any cloud (AWS, GCP, Azure) or on-premise. Avoid vendor lock-in and move between providers seamlessly.

Multi-Cloud Ready

Container Implementation Journey

From dockerizing your first app to running production-grade Kubernetes clusters

01

Application Assessment & Containerization

1-2 weeks

Analyze your applications, identify containerization candidates, and create optimized Dockerfiles with multi-stage builds for minimal image sizes.

02

Docker Registry & CI/CD Setup

1-2 weeks

Set up private container registry (ECR, GCR, ACR), implement automated builds, vulnerability scanning, and image signing for security.

03

Kubernetes Cluster Provisioning

2-3 weeks

Deploy production-grade K8s cluster on managed service (EKS, GKE, AKS) or on-premise with high availability, monitoring, and security hardening.

04

Application Deployment & Configuration

2-4 weeks

Create Kubernetes manifests or Helm charts, configure deployments, services, ingress, ConfigMaps, and Secrets for all applications.

05

Monitoring & Observability Setup

1-2 weeks

Deploy Prometheus, Grafana, ELK stack for logs, distributed tracing with Jaeger, and alerting for proactive issue detection.

06

Production Launch & Optimization

Ongoing

Migrate traffic to Kubernetes, monitor performance, optimize resource usage, tune auto-scaling policies, and provide ongoing support.

What Our Container Clients Say

Real results from companies that scaled with Docker and Kubernetes

"Srapsware is best for server less and modern web application technologies. I suggest you try there services."
Blucloud
Owner at Blucloud
UK

Frequently Asked Questions

What is the difference between Docker and Kubernetes?
Docker is a containerization platform that packages applications. Kubernetes is an orchestration system that manages thousands of Docker containers at scale - handling deployment, scaling, networking, and self-healing automatically.
Do I need Kubernetes, or is Docker enough?
Docker alone works for small deployments (1-5 containers). Kubernetes is essential when you have multiple services, need auto-scaling, require high availability, or manage deployments across multiple servers. We help you assess your needs.
How much does Kubernetes cost?
Managed K8s (EKS, GKE, AKS) costs $75-150/month for control plane plus EC2/VM costs. A small production cluster starts at $300-500/month. Self-managed on-premise requires more setup but can be cost-effective at scale.
Can you containerize our existing applications?
Yes! We containerize legacy apps (Java, .NET, PHP, Python, Node.js) and modern cloud-native apps. We create optimized Dockerfiles, handle dependencies, and migrate databases and state management to work with containers.
What is Helm and why do we need it?
Helm is the "package manager" for Kubernetes. It bundles all K8s resources (deployments, services, config) into reusable charts with versioning. Makes deployments repeatable, upgrades easy, and rollbacks simple.
How long does Kubernetes setup take?
Basic cluster setup takes 1-2 weeks. Production-grade with monitoring, CI/CD, security, and application migration takes 6-12 weeks depending on complexity. We provide managed support during and after launch.

Ready to Containerize and Orchestrate?

Let's package your applications in Docker containers and manage them at scale with Kubernetes. Deploy faster, scale easier, and run anywhere.