{"id":269215,"date":"2023-07-03T11:50:00","date_gmt":"2023-07-03T16:50:00","guid":{"rendered":"https:\/\/www.webscale.com\/?p=269201"},"modified":"2023-12-29T15:31:00","modified_gmt":"2023-12-29T20:31:00","slug":"deploy-apps-to-the-edge-as-easily-as-to-a-single-cluster-with-cloudflows-new-kubernetes-edge-interface","status":"publish","type":"post","link":"https:\/\/www.webscale.com\/blog\/deploy-apps-to-the-edge-as-easily-as-to-a-single-cluster-with-cloudflows-new-kubernetes-edge-interface\/","title":{"rendered":"Deploy Apps to the Edge as Easily as to a Single Cluster with CloudFlow\u2019s New Kubernetes Edge Interface"},"content":{"rendered":"<p><i><span style=\"font-weight: 400;\">The pandemic has kicked digital transformation into overdrive: businesses have shifted more user engagement to application workloads, while users expect more functionality, responsiveness and availability.<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\">Moving workloads and data closer to users (to the edge) is the<\/span><a href=\"https:\/\/www.section.io\/edge-compute-content-resources\/whitepaper\/modernizing-apps-with-distributed-multi-cluster-kubernetes\/\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400;\">best solution<\/span><\/a><span style=\"font-weight: 400;\">, but managing the required distributed multi-cluster environments is hard \u2013 really hard. In fact, so much so that companies avoid doing it and cloud vendors like Google<\/span><a href=\"https:\/\/www.section.io\/blog\/how-to-derisk-cloud-region-selection\/\" target=\"_blank\" rel=\"noopener\"> <span style=\"font-weight: 400;\">recommend against it<\/span><\/a><span style=\"font-weight: 400;\">. But what if you could skip all that and just manage edge workloads as if they were a single cluster? And use your existing Kubernetes and cloud-native tools?<\/span><\/p>\n<p><b>We\u2019re incredibly excited to launch our new patented<\/b><a href=\"https:\/\/www.section.io\/kubernetes-edge-interface\/\" target=\"_blank\" rel=\"noopener\"> <b>Kubernetes Edge Interface (KEI)<\/b><\/a><b>, making it possible for organizations to deploy application workloads to the distributed, federated edge as easily as they would to a single Kubernetes cluster.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Edge deployment is simply better than centralized data centers or single clouds in most of the every important metric \u2013 performance, scale, efficiency, resilience, usability, etc. Yet organizations historically put off edge adoption because it\u2019s been complicated.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With Webscale CloudFlow\u2019s KEI, teams don\u2019t have to change tools or workflows; the distributed edge effectively becomes a cluster of Kubernetes clusters and our AEE (Webscale CloudFlow\u2019s patented Adaptive Edge Engine) automation and Composable Edge Cloud (CEC) handles the rest.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That highlights the three main breakthroughs with KEI:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">It effectively <\/span><b>turns the edge into a \u201ccluster of clusters,\u201d<\/b><span style=\"font-weight: 400;\"> meaning you can gain all the benefits of a distributed multi-cloud, multi-region, multi-provider deployment \u2013 i.e., Webscale CloudFlow\u2019s Composable Edge Cloud (CEC) \u2013 with the simplicity of managing a single cluster.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">As an extension to the Kubernetes API, KEI allows you to <\/span><b>use familiar tools and workflows, like kubectl and<\/b><a href=\"https:\/\/www.webscale.com\/blog\/simplifying-managed-multi-cloud-and-edge-kubernetes-with-helm-charts\/\"> <b>Helm<\/b><\/a><span style=\"font-weight: 400;\">, to manage and control your edge environment. No more learning specialized tooling, different workflows or proprietary flavors of Kubernetes, just work as you always have, and<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Use KEI to <\/span><b>generate policy-driven controls for AEE to automatically tune, shape and optimize application workloads<\/b><span style=\"font-weight: 400;\"> in the background across Webscale CloudFlow\u2019s Composable Edge Cloud (CEC).<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">For example, if you\u2019re looking to apply a simple application workload policy such as <\/span><i><span style=\"font-weight: 400;\">\u201crun containers where there are at least 20 HTTP requests per second\u201d<\/span><\/i><span style=\"font-weight: 400;\">, you can define this with a simple declaration in your application manifest, apply the configuration using kubectl, and AEE will continuously find and execute the optimal edge orchestration for that outcome. It\u2019s that easy.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-269211\" src=\"https:\/\/www.webscale.com\/wp-content\/uploads\/2023\/10\/Deploy-Apps-to-the-Edge-as-Easily-as-to-a-Single-Cluster-1024x576.jpg\" alt=\"\" width=\"1024\" height=\"576\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Here are some other things you can do with KEI:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Configure service discovery, routing users to the best container instance<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Define complex applications, such as composite applications that consist of multiple containers<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Define system resource allocations<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Define scaling factors, such as the number of containers per location, and what signals should be used to scale in and out<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Enforce compliance requirements such as geographic boundaries or other network properties<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Maintain application code, configuration and deployment manifests in an organization\u2019s own code management systems and image registries<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Control how the Adaptive Edge Engine schedules containers, performs health management, and routes traffic<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Simply put, there is no easier, better or faster way to deploy and control application workloads at the edge. As you can imagine, we\u2019ve been hard at work to bring KEI to life, and we\u2019re proud and excited to share it with the larger community.<\/span><a href=\"https:\/\/www.webscale.com\/request-a-demo\/\"> <span style=\"font-weight: 400;\">Get in touch<\/span><\/a><span style=\"font-weight: 400;\"> to start using the Kubernetes Edge Interface today.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The pandemic has kicked digital transformation into overdrive: businesses have shifted more user engagement to application workloads, while users expect more functionality, responsiveness and availability. Moving workloads and data closer to users (to the edge) is the best solution, but managing the required distributed multi-cluster environments is hard \u2013 really hard. In fact, so much 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