Kubernetes Lifecycle Management
Cloudify delivers a significantly easier way to manage multi Kubernetes clusters (Multi cluster Kubernetes) via service orchestration, enabling you to manage the application service itself rather than just the infrastructure. With Cloudify in play, you can manage distributed service deployments, automate application governance, and even run day-2 operations across clouds and multi-cluster Kubernetes orchestration.
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Kubernetes Optimized
Automate and integrate Kubernetes with existing enterprise environment and applications for smoother transformations and premium Kubernetes orchestration
Full Lifecycle Management
Running Kubernetes multi clusters? Cloudify provides lifecycle Kubernetes cluster management from Day-0 to Day-2, including auto scale and heal, mass upgrades, updates, and more.
Lifecycle/ Day-2 Management
Lifecycle management and Day-2 operation of application services across Kubernetes multi clusters including support for handling partial failure scenarios (resume, rollback).
Connecting Kubernetes
Automatically discover Kubernetes clusters and deploy the same service across hundreds/ thousands of Kubernetes clusters. Use Cloudify to integrate Kubernetes with external networks, DB, storage, serverless or legacy.
Advanced Cluster Management
Experience built in support for all major Kubernetes cluster infrastructure setup: OpenShift, KubeSpray, GKE, EKS and AKS- on private and public clouds. Tap into reliable replication of deployments between multiple clusters. Place workloads on a target cluster based on the service requirements and Kubernetes cluster capabilities (tagging), tap into first class Kubernetes multi cluster orchestration.
Multi Cluster Action
Automate service deployment across multiple Kubernetes clusters and clouds. Deploy Kubespray clusters in any IaaS/ on bare metal, deploy OpenShift on AWS, access full automation of GKE, EKS and ASK instantiations. Match workloads and clusters per user/ tenant or location.
Powerful Workflows
Use Cloudify for advanced Kubernetes Management UI. Automate deployment, configuration and management tasks using rich workflow visualization. Use a single command for executing workflows across many K8s environments/workloads and easily handle scheduled periodic deployment and maintenance tasks.
No More Configuration Drifts
Prevent Kubernetes application service configuration drifts by continuously monitoring the service configuration to ensure it meets desired service configuration state. Cloudify detects and self-heals the difference. (e.g. deployment update).
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Your Kubernetes Orchestration
Kubernetes is designed for container scheduling, management, and orchestration. If you’re running your containerized application in a single cloud or infrastructure, you’re good with single Kubernetes pod/cluster. However, what if you want to build a hybrid application which will run in a multi-cloud environment? Need more than one Kubernetes cluster? How do you simplify instantiation and lifecycle management?
For these use cases, you need proper orchestration – and this is where Cloudify comes in. Cloudify provides infrastructure management capabilities such as instantiation, auto-healing, and auto-scaling. From a lifecycle management perspective, Kubernetes is just another “infrastructure” that Cloudify is able to orchestrate – just like AWS, Google Cloud, Azure, OpenStack, or VMWare.
Cloudify ensures your cloud-native applications can be deployed, healed, scaled, and managed on multiple clouds as well as non-containerized environments simultaneously.
This Cloudify Kubernetes Plugin enables users to create and delete resources hosted by a Kubernetes cluster. With this plugin, users can add new nodes to a cluster, orchestrate hybrid cloud scenarios with regular services and microservices in a single deployment, associate pods with particular nodes in your cluster, and more. The Cloudify Kubernetes Provider will allow users to utilize Cloudify as the infrastructure manager for K8s, meaning you can scale and autoscale nodes natively, configure networking and load balancing, have storage and compute customization, and native multi-cloud support. The Provider also enables auto-scaling of nodes, Kubernetes management of infrastructure lifecycle, and an open infrastructure with native Kubernetes interface. Access the Kubernetes technical specs HERE.
Kubernetes at the EDGE
Edge computing and Internet of Things (IoT) are the new distributed networks and changing how network automation is evolving. With millions of devices a lot of data is generated at the edge and real-time decisions need to be made locally, and not in one centralized place.
Orchestration for Edge Computing presents some difficulties such as the need for edge orchestration to continue without an active internet connection, the need for each point to be secure with proper access, and the ability to scale to millions, even billions, of devices.
Kubernetes is a light, fast, and scalable container orchestrator that is ideal for use on edge devices. With our low footprint capabilities orchestrating and managing Kubernetes clusters and application deployments from day-0 to day-2, Cloudify is a perfect fit for any edge computing workload. To learn more about Cloudify’s Edge Orchestration, click here.
Cloudify Support for Helm
Helm is the Kubernetes package manager, responsible for installing and managing Kubernetes applications. Combining Cloudify and Helm provides the flexibility to natively deploy Kubernetes workloads on a cluster as part of a TOSCA topology. So, not only can you deploy your applications with Helm charts, but using TOSCA, a user can deploy applications on Kubernetes as well as on bare metal, VMs, and more enabling a multi-cloud scenario without getting rid of your existing Helm charts.
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