Application containerization
Packaging your existing or new applications in container format (Docker).
In plain terms
Containers: a change in method more than in technology.
A container packages an application with everything it needs to run, independently of the host server. That lets you deploy the same application identically across environments — without the classic “it works on my machine” issues.
Kubernetes then orchestrates these containers at scale: it places them, restarts them on failure and automatically adjusts their number with load. This approach fits teams that deploy often and want to industrialize production releases.
What we do
From containerization to large-scale orchestration.
Kubernetes orchestration
Deployment and management of a Kubernetes cluster sized to your needs.
Autoscaling
Automatic scaling of application instances based on observed load.
Isolation & security
Application isolation to limit incident propagation.
Continuous integration
Setting up deployment pipelines to ship changes more frequently and more safely.
Platform monitoring
Cluster and deployed application health monitoring.
In figures
Faster deployments, measured over time.
MinutesTo deploy a new version
Auto-scalingBased on actual load
K8sIndustrial orchestration
IsolatedIsolated applications
Frequently asked questions
Everything about RDMC container platforms.
Do we need to rewrite our applications to containerize them?
Not necessarily. Most web and backend applications can be containerized without a major rewrite; some configuration adjustments are sometimes needed.
Is Kubernetes suited to every company size?
We size the cluster to your real needs: a small organization with a few applications does not need the same cluster size as a large group.
Who monitors the platform day to day?
Our team monitors the health of the Kubernetes cluster and your deployed applications, alongside your development team.
Can we migrate to containers progressively?
Yes, we generally recommend a progressive migration, application by application, rather than a big bang.
Complementary services