vSphere 7 with Kubernetes enables operations teams to deliver both infrastructure and application services as part of the core platform. The Network service provides automation of software-defined networking to both the Kubernetes clusters embedded in vSphere and Tanzu Kubernetes clusters deployed through the Tanzu Kubernetes Grid Service for vSphere.
High availability (HA) for MicroK8s, the lightweight Kubernetes, is now available as a tech preview for Linux, Windows and macOS. The Kubernetes control plane can now be distributed across multiple nodes, bringing resiliency to the cluster while maintaining a low footprint using Dqlite, the distributed SQL engine as the Kubernetes datastore.
Machine learning is the power cable for your business. Without it, your data center is a museum of hard drives. While machine learning can supercharge data-driven businesses, it requires both expertise and a complex suite of technologies to make it work. D2iQ’s KUDO for Kubeflow, which is in technical preview, is the enterprise platform designed to take you from prototype to production in no time.
We’re excited to announce that the latest release of Calico includes encryption for data-in-transit. Calico is the open source networking and network security solution for containers, virtual machines, and host-based workloads, offering connectivity and security for container workloads. One of Calico’s best-known security features is its implementation of Kubernetes Network Policy, providing a way to secure container workloads by restricting traffic to and from trusted sources.
My favorite ice cream store is just off Richmond Green, close to where I live in West London. On sunny days, locals queue around the block to buy their fantastic gelatos and sorbets. Every one of their customers knows that they could easily nip into the supermarket around the corner to buy hermetically sealed chocolate ice cream, but they queue anyway. Why?
Netflix, Amazon, Google, Facebook, and a host of other companies have adopted chaos engineering, which encourages designing systems to proactively ward off potential issues through testing and the anticipation of failure. When it comes to container orchestration tools like Kubernetes, chaos engineering is a vital tactic for enhancing security.
With the growing popularity of containerized applications, organizations and startups at all levels need to manage their Kubernetes deployments more safely at scale. Today, there is an expanding list of tools and services that can help do this. One of these services is the package manager known as Helm.
A step by step cookbook on best practices for alerting on Kubernetes platform and orchestration, including PromQL alerts examples. If you are new to Kubernetes and monitoring, we recommend that you first read Monitoring Kubernetes in production, in which we cover monitoring fundamentals and open-source tools. Interested in Kubernetes monitoring?
Monitoring Kubernetes, both the infrastructure platform and the running workloads, is on everyone’s checklist as we evolve beyond day zero and into production. Traditional monitoring tools and processes aren’t adequate, as they do not provide visibility into dynamic container environments. Given this, what tools can you use to monitor Kubernetes and your applications?
What are Golden signals metrics? How do you monitor golden signals in Kubernetes applications? Golden signals can help to detect issues of a microservices application. These signals are a reduced set of metrics that offer a wide view of a service from a user or consumer perspective, so you can detect potential problems that might be directly affecting the behaviour of the application.
