Container Orchestration Services at Scale
You need container orchestration services that let you deploy containers at scale without the operational headache of managing clusters by hand. Whether you want to bring in a container orchestration company to set up Kubernetes from scratch, hire experienced container engineers to manage your existing clusters, or get kubernetes consulting services to fix a setup that is not performing, the same question always comes first: who actually knows how to run this in production? Your team gets end-to-end managed kubernetes services, covering everything from cluster architecture and Docker containerization through to deployment automation, monitoring, and ongoing operations. That means container orchestration for microservices and scaling teams, with structured delivery that keeps your applications fast, resilient, and cost-efficient. Ready for a container orchestration quote? Tell us what you are running and we will scope it.
Container orchestration setup typically costs between $10,000 and $120,000 depending on cluster complexity, number of services, and compliance requirements. A standard Kubernetes cluster for a microservices application can be production-ready in 2 to 6 weeks. The biggest cost driver is the number of services and their interdependencies.
Core Capabilities and Features
Containerization and Docker
Before you orchestrate containers, you need containers. Your team gets help containerizing applications using Docker, creating optimized Dockerfiles with multi-stage builds, minimal base images, and proper layer caching. For teams already running Docker, existing images are audited for security vulnerabilities, bloated sizes, and configuration issues. Good container images are small, secure, and reproducible. Bad ones are 2GB, run as root, and contain secrets in plain text. Those get fixed.
- Optimized Dockerfiles with multi-stage builds, minimal base images, and proper layer caching
- Existing images audited for security vulnerabilities, bloated sizes, and configuration issues
- Good container images are small, secure, and reproducible bad ones get fixed
Cluster Architecture and Networking
Kubernetes networking is where most teams get stuck. The right CNI plugin (Calico, Cilium, or AWS VPC CNI) is configured based on your performance and security requirements. Ingress controllers (NGINX, Traefik, or AWS ALB) handle external traffic routing. Network policies control which pods can talk to each other. For multi-tenant environments, namespace isolation is implemented with resource quotas and limit ranges to prevent noisy neighbours from affecting other workloads.
- CNI plugin (Calico, Cilium, or AWS VPC CNI) configured based on performance and security requirements
- Ingress controllers (NGINX, Traefik, or AWS ALB) handle external traffic routing with network policies
- Multi-tenant namespace isolation with resource quotas and limit ranges to prevent noisy neighbours
Helm Charts and GitOps
Every Kubernetes deployment should be declarative and version-controlled. Your applications are packaged as Helm charts with configurable values for each environment (dev, staging, production). GitOps is set up using ArgoCD or Flux, which means your Git repository becomes the single source of truth for what runs in your cluster. Push a change to Git, and ArgoCD automatically syncs it to the cluster. Rollback means reverting a commit. No kubectl commands. No manual interventions.
- Applications packaged as Helm charts with configurable values for each environment (dev, staging, production)
- GitOps using ArgoCD or Flux makes your Git repository the single source of truth for your cluster
- Rollback means reverting a commit no kubectl commands, no manual interventions
Why It Matters
If you are running microservices, scaling beyond a single server, or deploying multiple times a day, container orchestration is not optional. It is the foundation your entire application stack sits on. A misconfigured Kubernetes cluster does not just cause downtime. It causes cascading failures where one service takes down ten others. It causes cloud bills that double because nobody configured autoscaling properly. And it causes security incidents because pods were running with permissions they should never have had. The teams that get the most out of Kubernetes are the ones who treat it as a platform, not a project. It needs ongoing investment in maintenance, security, and optimization. The ones who struggle are the ones who set it up once and assume it will manage itself. Be honest about which you are.
By the Numbers
$845M
Global container orchestration market size in 2024, projected to reach $4B by 2033 at 17.4% CAGR. The market is still accelerating as more teams containerize production workloads.
Source: IMARC Group, 2025
92%
Market share held by Kubernetes in container orchestration tools. There is effectively no second choice. Kubernetes is the standard.
Source: Edge Delta / SlashData, 2024
80%
Of organizations deployed Kubernetes in production in 2024, up from 66% in 2023. A 20.7% increase in a single year shows how rapidly adoption is moving.
Source: CNCF Annual Survey, 2024
$5.85B
Global application container market size in 2024, projected to reach $31.5B by 2030 at 33.5% CAGR. Containers are not a trend. They are the default unit of deployment.
Source: Grand View Research, 2025
67%
Of organizations delayed container deployment due to security concerns. Security is the biggest inhibitor to faster adoption, which is why security is built into every cluster from day one.
Source: Red Hat State of Kubernetes Security, 2024
"Kubernetes is the most powerful tool in modern infrastructure. It is also the easiest to get wrong. The teams that succeed are the ones who invest in proper architecture, security, and observability from the start, and treat their cluster as a product that needs ongoing attention, not a one-time setup."
Technologies
Our Tech Stack
Our Process
How we turn ideas into reality.
Assessment and Architecture
Your current infrastructure is audited, applications that are not yet containerized get containerized, and the cluster architecture is designed (node pools, namespaces, resource limits, networking, and storage).
Cluster Setup and Configuration
The Kubernetes cluster is provisioned (EKS, GKE, AKS, or self-managed), networking configured (CNI plugins, ingress controllers, service mesh), and RBAC, secrets management, and persistent storage set up.
Deployment Automation
Helm charts or Kustomize configurations are built for every service, GitOps workflows set up (ArgoCD or Flux), and integrated with your CI/CD pipeline so deployments are automated, versioned, and reversible.
Monitoring and Managed Operations
Observability is configured (Prometheus, Grafana, Loki, Jaeger), alerting set up, SLOs defined, and ongoing cluster management provided including upgrades, security patching, and cost optimization.
Pricing
Investment Overview
Cluster Complexity and Services
The number of services and their interdependencies drive the overall cost. A single application with 3 to 5 services takes 2 to 4 weeks. A complex multi-service platform with service mesh, GitOps, and compliance requirements can take 6 to 12 weeks.
Compute, Storage, and Data Transfer
A small EKS cluster with 3 nodes might cost $200 to $500 per month. A production platform with autoscaling, multi-AZ, monitoring, and 20+ services might cost $3,000 to $15,000 per month. The biggest cost drivers are compute (node count and size), storage, and data transfer.
Security and Compliance Requirements
Regulated industries require clusters configured to meet SOC 2, HIPAA, or PCI-DSS requirements. Security at every layer adds RBAC, pod security standards, network policies, image scanning, secrets management, and audit logging.
Everything we do at Techneth is built around making data move reliably between the systems that matter. If you want to understand our approach before committing, you can read more about our team and how we work. Or explore the full range of digital product and development services we offer, like container orchestration. And if you already know what you need, get in touch directly and we will find time to talk.
Frequently Asked Questions
Everything you need to know about this service.
- How long does Kubernetes setup take?
- A production-ready Kubernetes cluster for a single application with 3 to 5 services typically takes 2 to 4 weeks. A complex multi-service platform with service mesh, GitOps, and compliance requirements can take 6 to 12 weeks. The timeline depends on how many services you have, whether they are already containerized, and your security requirements.
- Should I use EKS, GKE, or AKS?
- It depends on your existing cloud provider and team expertise. GKE is the most mature and easiest to operate. EKS integrates deeply with the AWS ecosystem. AKS integrates well with Azure and Microsoft tools. For most teams, the best choice is whichever provider you are already using. Your team gets help evaluating based on your specific requirements.
- What is the difference between Docker and Kubernetes?
- Docker is a containerization tool. It packages your application and its dependencies into a portable container. Kubernetes is an orchestration tool. It manages where those containers run, how they scale, and what happens when they fail. You need both: Docker to build containers, Kubernetes to run them at scale.
- How does Kubernetes handle high availability?
- Kubernetes distributes your application across multiple nodes and automatically restarts failed pods. If a node goes down, Kubernetes reschedules pods to healthy nodes. For mission-critical workloads, multi-zone or multi-region clusters are configured with pod disruption budgets and anti-affinity rules to ensure your application survives any single point of failure.
- What does Kubernetes cost per month?
- Cluster costs vary widely. A small EKS cluster with 3 nodes might cost $200 to $500 per month. A production platform with autoscaling, multi-AZ, monitoring, and 20+ services might cost $3,000 to $15,000 per month. The biggest cost drivers are compute (node count and size), storage, and data transfer. Cost monitoring and optimization are set up from day one.
- Can you containerize our existing applications?
- Yes. Your team gets help containerizing legacy and modern applications using Docker. This includes writing Dockerfiles, optimizing image sizes, setting up container registries, and testing containerized applications in staging before deploying to production. For monolithic applications, they can be containerized as-is or decomposed into microservices as part of the migration.
Ready to get a quote on your container orchestration?
Tell us what you are building and we will put together a scoped proposal within 3 business days. Here is what happens when you reach out:
- 1You fill in the short project brief form (takes 5 minutes).
- 2We review it and come back with initial thoughts within 24 hours.
- 3We schedule a 30 minute call to align on scope, timeline, and budget.
- 4You receive a written proposal with fixed price options.
No commitment required until you are ready. Request your free container orchestration quote now.
Ready to start your next project?
Join over 4,000+ startups already growing with our engineering and design expertise.
Trusted by innovative teams everywhere
