There are several SaaS and open-source solutions that have the capability to manage multiple, disparate Kubernetes clusters – regardless of the specific distribution or what hosted offering is in play – as long as it is a certified Kubernetes platform. Kubernetes multi-cluster management focuses broadly on giving a single view to interact with, and report
· February 4, 2020 · 7 min readWhat is GitOps GitOps, in layman’s terms, can probably be described as DevOps powered by Git, with a noticeable shift in favor of developers. Think of Git version control as a giant indexed folder that magically absorbs all your code into neat laminated sections with colorful post-its sticking out, displaying full audit trails. In the
· January 28, 2020 · 5 min readWe’re living in a cloud-native world. You can barely read a tech blog or go to a conference without hearing about all of the benefits of cloud-native technologies or architectures, such as containers, microservices and serverless functions. Yet amidst all of the excitement about going cloud native, it can be easy to overlook the challenges
· January 14, 2020 · 6 min readEvaluating EKS vs GKE vs AKS? Whether you’re considering getting your feet wet with Kubernetes, or are looking at Kubernetes as the foundation to deploy applications consistently across hybrid/multi cloud environments, you are likely evaluating at the big three cloud providers and their Kubernetes offerings. (Read more: 6 Ways Kubernetes Simplifies Multi-Cloud Management) This article
· January 6, 2020 · 6 min readOverview In this post you’ll learn: CI/CD platforms for Kubernetes How to Install Jenkins on Kubernetes Scaling CI/CD Jenkins Pipelines with Kubernetes Best Practices to use Kubernetes for CI/CD at scale Kubernetes has a vast list of use cases in the cloud-native world. It can be utilized to deploy application containers in the cloud, schedule
· January 2, 2020 · 11 min readA multi-cloud strategy is hard. Fortunately, Kubernetes makes it easier. In several respects, Kubernetes helps to solve or work around the most pressing pain points within a multi-cloud architecture. Let’s explore how. Multi-cloud challenges Multi-cloud architectures can deliver a number of benefits, including better cost-efficiency, reliability and scalability. Yet those benefits come with tradeoffs. (Read
· December 26, 2019 · 6 min read
If you’ve been investigating Kubernetes – or any container management system – you might have come across references to an image registry. In this article, we’re going to talk about what an image registry is, and why it’s an essential component of your Kubernetes implementation. We’re also going to discuss registry scanners, and why they’re
· December 20, 2019 · 7 min readKubernetes is hailed for making it simple to provision the resources you need, when you need them. However, it’s challenging to know the exact size and number of nodes that best fit your application, especially when you can’t predict what load you will want to support in the future. If you are allocating resources manually,
· December 16, 2019 · 6 min read
Kubernetes Monitoring Solutions Deploying Prometheus on Kubernetes Deploying Cortex on Kubernetes Key Metrics ti Track The growing adoption of microservices and distributed applications gave rise to the container revolution. Running on containers necessitated orchestration tooling, like Kubernetes. But managing the availability, performance, and deployment of containers is not the only challenge. It is important to
· December 12, 2019 · 13 min read
When containers became mainstream, they were designed to support ephemeral – stateless – workloads. Since then, a lot of effort has been made to support stateful applications in the container ecosystem, with a lot of that focus targeted towards better support from core Kubernetes. Stateful applications – and the data they contain – are extremely
· December 3, 2019 · 10 min read
Machine Learning (ML) is rapidly becoming essential to businesses and institutions across the globe. Each organization must meet the challenge of provisioning a computational infrastructure that can support a resource-intensive machine-learning pipeline. While moving computation to the cloud has become the standard response to the challenge of scalability, machine learning teams have specific needs that
· November 20, 2019 · 6 min read
Cloud-native applications are often architected as a constellation of distributed microservices, which are running in Containers. Increasingly, these containerized applications are Kubernetes-based, as it has become the de-facto standard for container orchestration. One outcome that most companies using microservices architecture don’t fully understand the impact of until they are well down the path is microservices
· October 21, 2019 · 12 min read