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Low-code and no-code environment designed for rapid innovation.
Easily deploy, automate and scale your container workloads with emma's managed Kubernetes services.
Enjoy optimized resource performance within a single cluster and leverage the advantages of geographic distribution and redundancy across multiple clusters and clouds.
Efficiently manage and expand clusters across multiple cloud providers with both multi-cluster flexibility and single-cluster elasticity.
Set up your multicloud Kubernetes infrastructure in a highly available, cost-effective manner by spinning nodes up or down based on resource needs.
Add markups for spot-instances purchases and set price limits for better control.
Leverage cluster autoscaling across various cloud providers to boost team efficiency.
Low-code and no-code environment designed for rapid innovation.
Experience cloud freedom like never before with the emma platform.
Avoid vendor lock-in to achieve greater flexibility and innovation power. Deploy your infrastructure across multiple cloud environments with emma's cloud-agnostic approach.
Unlock savings with emma's real-time insights and rightsizing options. Save up to 80% in specific cases, optimizing your cloud resources efficiently.
Boost productivity with streamlined operations and automated resource provisioning. Maintain centralized control while empowering self-service capabilities.
Experience lightning-fast interactions with emma's high-speed multicloud networking backbone, designed for maximum application performance and resilience.
Fast provisioning, automated workflows, and seamless DevOps integrations for rapid deployment and scaling across diverse cloud environments.
Harness your growth by scaling resources dynamically with emma, ensuring uninterrupted operations and unmatched business support.
Maximize resource allocation and minimize costs while maintaining high performance with emma`s managed Kubernetes service.
Scale applications automatically to meet changing traffic and resource demands.
Robust mechanisms ensure high availability, such as automatic failover and self-healing of containers, guaranteeing uninterrupted service for critical applications.
Deploy and manage containerized applications seamlessly across various cloud providers and on-premise infrastructure with Kubernetes, offering portability and flexibility.
Reduce manual workload with Kubernetes' automation capabilities, streamlining application deployment and management processes for increased efficiency and productivity.
Containerization is a process of packaging an application or service and all its dependencies into a single, self-contained executable package called a container. Containers provide a lightweight and portable way to package and distribute applications across different computing environments, from development to production.
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. A Kubernetes cluster is a group of nodes (physical or virtual machines) that run containerized applications managed by Kubernetes.
Click on “All Projects“ and navigate to your project. You will be, by default on the project “Summary“ link in the left sidebar. Click on the “Kubernetes Classic” link in the sidebar on the left. You will be navigated to the “Kubernetes Classic clusters” tab by default.
Select the checkbox on the left side of your cluster names, which you want to delete. After selecting the clusters the DELETE button will automatically appear at the top of the table.
To gain independence from a single cloud provider, we deploy your cluster across the networks of three providers, ensuring the resilience and reliability of your cluster.
Creating a Kubernetes cluster has never been easier. Simply select a location and node configuration, and your cluster will be ready for use with just a few clicks.
No, we take care of managing the Kubernetes control planes, allowing you to focus on deploying and managing your applications.
A Kubernetes pod is the smallest deployable element in Kubernetes, made up of one or more containers that share the same network namespace and storage volumes.
Pods allow containers to collaborate closely, promoting resource sharing and communication among them within a cluster.