Announcing GA of Komodor Actions & RBAC Support
Kubecon 2022 just concluded with plenty of exciting announcements, including our new open-source project, Helm-Dashboard, but we’ve got some more news to share on top of that.
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Learning about Kubernetes Service Mesh with Solo.io - Civo.co
@Kunal Kushwaha speaks with Marino Wijay from @solo.io about their experience at KubeCon + CNC NA 2022.
New GKE dashboards and metrics provide deeper visibility into your environment
Google Kubernetes Engine (GKE) is a managed Kubernetes service that enables users to deploy and orchestrate containerized applications on Google’s infrastructure. Datadog’s GKE integration, when paired with our Kubernetes integration, has always provided deep visibility into the health and performance of your clusters at the node, pod, container, and application levels.
Easy Kubernetes deployment to Civo using Acorn
As part of our virtual booth, Saiyam Pathak gave three quick-fire talks. In his final session “Easy Kubernetes deployment to Civo using Acorn”, Saiyam spoke about deploying challenges and how tools like Acorn can make your life easier.
Containers vs. Virtual Machines: Rivals or Friends?
Containers have been the buzz among developers in recent years with the adoption of cloud-native orchestration tools like Kubernetes and DevOps workflows centered around containers. At the same time, virtual machines (VMs) still power many enterprise workloads, whether they’re running in a public cloud provider like Azure or an on-premises data center running VMware. In one of my early jobs, we built a private cloud—in 2012. This was a ground-breaking project at the time.
The Civo team's KubeCon + CNC NA 2022 experience - Civo TV
A team from Civo that consisted of Mark Boost, Dinesh Majrekar, Kai Hoffman, @Kunal Kushwaha, David Fogle, Sophia Ramsel, Ricky Law, and Tyler Mckee, all gave their thoughts on their KubeCon + CNC NA 2022 (@CNCF ) experience.
Getting started with EKS and Calico
Cloud-native applications offer a lot of flexibility and scalability, but to leverage these advantages, we must create and deploy a suitable environment that will enable cloud-native applications to work their magic. Managed services, self-managed services, and bare metal are three primary categories of Kubernetes deployment in a cloud environment.
Managing your Kubernetes cluster with Elastic Observability
As an operations engineer (SRE, IT manager, DevOps), you’re always struggling with how to manage technology and data sprawl. Kubernetes is becoming increasingly pervasive and a majority of these deployments will be in Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), or Azure Kubernetes Service (AKS). Some of you may be on a single cloud while others will have the added burden of managing clusters on multiple Kubernetes cloud services.
"What were the hot topics of discussion at KubeCon?" - Civo TV
Here's what the community thought was the hot topic of discussion at KubeCon + CloudNativeCon NA 2022.
Tales from the Kernel Parameter Side
Users live in the sunlit world of what they believe to be reality. But, there is, unseen by most, an underworld. A place that is just as real, but not as brightly lit. The Kernel Parameter side (apologies to George Romero). Kernel parameters aren’t really that scary in actuality, but they can be a dark and cobweb-filled corner of the Linux world. Kernel parameters are the means by which we can pass parameters to the Linux (or Unix-like) kernel to control how that it behaves.