Kubernetes or Managed App Services? Choosing the Right Platform for Small Teams

Kubernetes has become the standard for running containers at scale. It is also complex. For a small team shipping a business application, the real question is not "Is Kubernetes good?" but "Do we need it yet?"

What Kubernetes gives you

• Scheduling containers across many machines.
• Self-healing: failed containers are restarted and moved.
• Scaling based on load.
• Rolling updates and rollbacks.
• A standard platform that runs on every major cloud and on-premise.

What it costs you

• Learning curve: deployments, services, ingress, config maps, secrets, persistent volumes, RBAC, network policies.
• Operations: upgrades, monitoring, logging, security patching, certificate management.
• Cluster overhead: control plane fees on some clouds and the minimum nodes you keep running.
• Debugging complexity when something fails between layers.

Managed Kubernetes (AKS, EKS, GKE) removes some of the work, but your team still owns most of the cluster configuration.

The alternatives

Option	Examples	You manage	Best for
Managed app platform	Azure App Service, AWS Elastic Beanstalk	App code and settings	Web apps and APIs with simple scaling
Serverless containers	Google Cloud Run, Azure Container Apps, AWS App Runner	Container image	Stateless APIs and jobs, scale to zero
Container service	AWS ECS with Fargate	Task definitions	Several services without Kubernetes
Virtual machines	Any cloud or dedicated server	Everything	Full control, legacy apps, fixed workloads
Kubernetes	AKS, EKS, GKE, self-managed	Cluster configuration and workloads	Many services, large teams, multi-cloud

When a managed platform is the better choice

• You run one to a handful of services.
• Your team has no dedicated platform or DevOps engineer.
• Traffic is moderate or predictable.
• You want fast setup and minimal maintenance.

Platforms like Cloud Run or Azure Container Apps still use containers, so you keep a clean path to Kubernetes later.

When Kubernetes makes sense

• You run many services that need consistent deployment, networking and policies.
• You need advanced scheduling: GPUs, batch jobs, custom autoscaling.
• You must run the same platform across clouds or on-premise.
• You have, or can hire, people to operate it properly.

A growth path that works

1. Start simple: containerise the app and deploy to a managed platform or a well-configured VM.
2. Add CI/CD, monitoring and backups before adding more infrastructure.
3. Move to a container service when you have several services.
4. Adopt Kubernetes when its benefits clearly outweigh the operational cost.

Because each step uses containers, moving up the ladder does not require rewriting your application.

Cost comparison mindset

Do not compare only the cloud bill. Include engineering time. A platform that costs slightly more per month but saves ten hours of maintenance is usually cheaper overall for a small team.

Frequently asked questions

Is Kubernetes required for microservices? No. Many teams run several services on managed container platforms or a container service without Kubernetes. Kubernetes becomes attractive when the number of services, teams and policies grows.

Can we run Kubernetes on our own servers? Yes, with distributions designed for on-premise use. But you then own upgrades, storage, networking and high availability, which requires solid expertise.

What about vendor lock-in with managed platforms? If your app is packaged as a standard container and configured through environment variables, moving between platforms is mostly a deployment change. Lock-in comes more from proprietary databases and services than from where containers run.

How do we handle databases and file storage? Keep containers stateless. Use managed databases, object storage for files, and a cache service where needed. This makes scaling and redeploying containers simple on any platform.

How much does managed Kubernetes cost compared to a managed app platform? Beyond the worker nodes, some providers charge a fee for the control plane, and you usually keep at least two or three nodes running for resilience even when traffic is low. Serverless container platforms can scale to zero and charge per request or per second of use, which is often cheaper for small or spiky workloads. For steady, high traffic across many services, a well-utilised Kubernetes cluster can become cost-effective. Compare both options using your real traffic pattern and include the time your team spends on operations.

What monitoring do we need at minimum? Centralised logs, basic metrics such as CPU, memory and request latency, health checks and alerts for errors and downtime. Managed platforms include most of this out of the box.

Key takeaways

• Kubernetes is powerful but brings real operational overhead.
• Small teams with a few services are usually better served by managed app platforms or serverless containers.
• Containerise early so you can move to Kubernetes later without a rewrite.
• Compare total cost, including your team's time, not just infrastructure prices.

KHR Digital Solutions deploys applications on managed platforms, containers and Kubernetes, and helps teams choose the simplest platform that meets their needs.