Production-Optimized Insances
Deploy your containers in production, hosted on reliable and performant instances with a 99,99% SLA.
Kubernetes Solutions
Learn and Scale containerized applications with a managed Kubernetes.
Gartner predicts that by 2025, 85% of global enterprises will run containerized applications in production.
Find your Kubernetes solution
1. "Start my first PoC "
Typical use case:
Evaluation: evaluate the need for your infrastructure for a container orchestration platform, make sure your team knows why and what they want to achieve.
POC a prototype: create a proof of concept to test the implementation and understand Kubernetes
You will do:
Create a cluster
Understand Pods and nodes
Launch container with an application
Test and expose application publicly.
Products to start with:
Kubernetes Kapsule, Application Library, Minikube, Kube Control, Nodeport/Ingress controller
2. “Deploy Kubernetes in production”
Typical use case:
Develop new application or migrate to containers and Kubernetes orchestration
Master container deployment from Test to Staging environment, before launching in Production
Monitor containerized production with Kubernetes
You do:
Understand Kubernetes network CNI
Learn autoscaling & autohealing
Deploy Load Balancer
Manage Block Storage
Deploy multi-cloud
Products to start with:
Kubernetes Kapsule, Kubernetes Kosmos, Virtual Instances, Load Balancer, Block Storage
3. “Scale seamlessly”
Typical use case:
Scale and maintain the stability: configure all components to establish a reliable and a solid quality of service.
Monitoring and managing the business critical environment: scale, update, and backup.
Implroving the Kubernetes deployment, add new features, optimise performance and secure.
Automate with devtools like Terraform or the API.
You will do:
Start advanced monitoring
Use Kubernetes SDK/ API/ CLI
Deploy with Terraform
Products to start with:
Kubernetes Kapsule, Dedicated Control Plane, Block Storage, Container Regitry, Production-Optimized Instances
Scaleway products to start with
Kubernetes has such a strong hype and a continuous adoption among developer community because it solves major issues for managing containerised applications, like scaling facility, ease of deployment and a great overall stability.
Lets take a look at Kubernetes technology range we propose you to support your needs.
| Product | Key features | Perfectly made for |
|---|---|---|
| Kubernetes Kapsule | Autoscaling & Autohealing | Personal or side projects |
| Kubernetes Kosmos | Multi-cloud deployment | Production environment for scaling stratups |
| Dedicated Control Plane | Highly available Control Plane | Production environment with heavy workloads |
| Application library | Integrate Helm charts | Configuration of operations for each application |
Kubernetes in the Scaleway Ecosystem
Should you use Kubernetes Kapsule or Serverless Containers?
| Use Cases / Objectives | Serverless Containers | Kubernetes Kapsule |
|---|---|---|
| Deploy a web application | A perfect tool for a simple application | Imply configuration & monitoring |
| Provision the infrastructure resources | None | Require to provision your compute needs |
| Deploy and maintain CI/CD pipelines | Perfect for quick and straightforward releases | Ideal for complex and customized workloads |
| Implement processing workflow of business data | Not advised | Control and monitor your process from A to Z |
| Operate Machine Learning models | Suitable for light ML tasks | Define and schedule inference workloads regardless the complexity |
| Get infrastructure resilience and High Availability | Resilience built-In | Accessible through configuration and provisioning |
| Optimize infrastructure cost | Optimized based on usage | Compute on an hourly basis |
Additional products
Load Balancer
Balance workloads between pods for an enhanced user experience and set a unique entry point for all request.
Block Storage
Create persistent volume on top of Block Storage, be sure all your data are safe and available when a container boots.
How customers build their infrastructure?
Jamespot use Kubernetes Kapsule to deploy their application using microservices and handle high traffic seamlessly, even with up to 80,000 users.
They deploy especially containers for video conferencing and collaborative editing, ensuring smooth performance during peak loads.