With the release of the D2iQ Kubernetes Platform version 2.4 (DKP 2.4), the best Kubernetes platform just got better, particularly the ability to manage Kubernetes clusters across multi-cloud and hybrid cloud environments. What makes DKP so special? D2iQ’s business is focused solely on creating a container management platform that is as complete and reliable as possible.

Looking back on the last 18 months, it is abundantly clear that one piece of technology found its moment more than any other: cloud. Essential to modern computing, cloud provides the capacity for businesses to run workloads with the flexibility and scale many firms would struggle to achieve with on-premise infrastructure. According to Flexera’s 2021 State of the Cloud Report, 90% of firms slightly or significantly increased their cloud usage due to the pandemic.

We’ve just released Calico v3.25! This milestone release includes a number of eBPF dataplane improvements designed to deliver an even faster upgrade experience, smaller memory footprint, and shorter eBPF networking object load time speed. But before we get into the details of these changes, let’s welcome and thank our new community problem-solvers who got their first contribution requests merged into our beloved project.

Adopting Kubernetes has introduced several new complications on how to verify and validate all the manifests that describe your application. There are several tools out there for checking the syntax of manifests, scanning them for security issues, enforcing policies etc. But at the most basic case one of the major challenges is to actually understand what each change means for your application (and optionally approve/reject the pull request that contains that change).

As we enter a new year, our team has made predictions for the coming year in the Cloud Native ecosystem.

As mentioned in our documentation, Cribl Stream is built on a shared-nothing architecture. Each Worker Node and its processes operate separately and independently. This means that the state is not shared across processes or nodes.This means that if we have a large data set we need to access across all worker processes, we have to get creative. There are two main ways of doing this: In this blog, we’ll walk through how to deploy a Stream leader, Stream worker, and Redis containers via Docker.

Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that enables users to easily run, manage and scale containers on AWS. With ECS, you can deploy containers either on a cluster of Amazon EC2 instances or on AWS Fargate, a serverless computing engine for containers. In this article, we’ll look at how these two launch types compare and explore how to start using them.