Build containers for microservices without
relying on code, platform, or region using
No code containerized,
Handle from one place
to multi-cloud and region
Middleware generates machine images automatically without any code inputs. All that the user needs to do is connect the microservice to the platform and let the Middleware Containerization Systems do the rest. Whenever the application witnesses peak traffic, the container in the reserve machine creates a virtual machine to handle the load.
Middleware builds containerized systems that strengthen your application’s capabilities
and helps service deployment at scale. This lightweight alternative to virtualization
optimizes resource utilization and maximizes their impact.
The Containerization Service, along with the auto scaler, launches pre-configured and provisioned machine instances within seconds.
The containers operate on multiple data centers, regardless of the type, service provider, and location. This ability makes it easy to switch data centers without a hitch.
Users do not require any complex coding to build machine images. You can build a container in just a few clicks without having to know about what takes place under the hood.
Our plug-and-play design allows quick service deployment and image building than any other container service provider.
The following is a quick step-by-step guide on how to set up and configure containers using Middleware:
Containerization through Middleware blends the advantages of cloud computing and DevOps. To expand our reach and influence, we offer our services to most cloud service providers, such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Digital Ocean with support for container orchestration over Kubernetes, Docker, etc.
Middleware’s AI-based load balancer maintains the speed, scalability, and security of your application in real-time.
Service discovery in real-time shares actionable insights that allow the application to stay up at all times.
Create and delete virtual machines automatically to match with the load experienced.