Signs it is time to modernize
- Releases are slow, manual and stressful.
- A change in one place breaks something somewhere else.
- The servers are fragile, and nobody wants to touch them.
- The people who built the system have left, and the knowledge went with them.
- The technology is old enough that security updates and hiring are both hard.
- Scaling means buying bigger servers rather than adding capacity when needed.
Common approaches
| Approach | What it means | When it fits |
|---|---|---|
| Rehost | Move the system to the cloud largely as it is | You need to leave old hardware quickly and can improve later |
| Replatform | Move it with a few changes, such as containers or a managed database | You want cloud benefits without changing the code much |
| Refactor | Break the monolith into smaller services, one part at a time | Change is slow, and a few parts change far more often than the rest |
| Rebuild or replace | Write it again or switch to a ready-made product | The system is beyond saving, or a product already does the job |
| Retire | Switch off parts nobody uses | Some features and servers have no remaining users |
Where Kubernetes fits
Containers package an application so it runs the same way on every machine and in the cloud. Kubernetes runs many containers for you, scaling them and replacing them without downtime. It is useful when you have several services or variable traffic. For a small system, containers plus automated releases are often a sensible first step before adding Kubernetes.
A staged plan
- Assess: read the code and the infrastructure and talk to the people who run it, then write down what is risky and what is fine.
- Plan the order: start with the changes that lower risk the most.
- Migrate in slices: each piece moves on its own, runs alongside the old one, and switches over when it is proven.
- Retire the old parts: switch off old servers and code only once nothing depends on them.
Risks and how to reduce them
| Risk | How to reduce it |
|---|---|
| Downtime | Run old and new side by side and move traffic over gradually; agree any maintenance window in advance |
| Data loss | Check data before and after every move, with a tested way back |
| Lost knowledge | Start by reading the code and documenting how it works |
| A project that never ends | Work in stages with a clear plan, so you can stop after any of them |
How we approach it at MOUNTSMY
We start with a written assessment of your current system, then a plan with clear stages. We use Docker and Kubernetes on AWS or Azure, Terraform and CI/CD pipelines for repeatable releases, and we upgrade old databases with checks before and after. Everything lives in your own accounts and repositories, with documentation.
Frequently asked questions
Do we have to rewrite everything?
Rarely. Most systems are modernised in slices, keeping the parts that work and replacing the parts that hold you back.
Will there be downtime?
We plan each step to avoid it, running old and new side by side and moving traffic over gradually. Any maintenance window is agreed with you in advance.
The people who built our system have left. Can you still help?
Yes. That is common. We start by reading the code and documenting how it works.
How long does it take?
It depends on the size of the system. After the assessment you get a plan with clear stages, so you can stop after any of them.
Do I need Kubernetes?
Not always. It helps with several services or variable traffic. For smaller systems, containers and automated releases are often enough to start.