With ARM based dev machines and servers becoming more common, it is become increasingly important to build Docker images that support multiple architectures. This guide will show you how to build these Docker images on any machine of your choosing.
Distributed systems open us up to myriad complexities due to their microservices architecture. There are always little problems that arise in the system. Therefore, engineering teams must be able to determine how to prioritize the challenges. Viewing logs and metrics of such systems enables engineers to know the shared state of the system components, thereby informing the decision-making on what challenge needs to be solved most immediately.
Since the introduction of containerisation by Linux many years ago, maturity has shifted from the traditional virtual machine to these containers. These tools have made application development much easier than the initial process. Docker Swarm and Kubernetes came into action when the number of containers increased within a system, they helped orchestrate these containers. A question that arises is, which one is the better option?
The Multi-access Edge Compute (MEC) framework enables mobile operators, application developers, and content providers to deploy predictable cloud-computing capabilities at the network’s edge and in the immediate proximity of mobile networks.
Prometheus 2.37 is out and brings exciting news: this is the first long-term supported release. It’ll be supported for at least six months.
The Multi-access Edge Compute (MEC) framework enables mobile operators, application developers, and content providers to deploy predictable cloud-computing capabilities at the network’s edge and in the immediate proximity of mobile networks.
Getting Kubernetes right is hard. If you’ve ever checked out Kelsey Hightower’s “Kubernetes the Hard Way,” you’ll know what we are talking about. Tell your family and friends you’ll see them sometime in the not-so-near future because Kubernetes will be consuming your life. Although Kubernetes adoption is skyrocketing, not all deployments succeed, and the issues that cause deployments to fail can occur between Day 0 planning and Day 2 operation phases.
If your organization is embracing cloud-native practices, then breaking systems into smaller components or services and moving those services to containers is an essential step in that journey. Containers allow you to take advantage of cloud-hosted distributed infrastructure, move and replicate services as required to ensure your application can meet demand, and take instances offline when they’re no longer needed to save costs.
Kubernetes is an open source platform that, through a central API server, allows controllers to watch and adjust what’s going on. The server interacts with all the nodes to do basic tasks like start containers and pass along specific configuration items such as the URI to the persistent storage that the container requires. But Kubernetes can quickly get complicated. So, let’s look at Vanilla Kubernetes — the nickname for a a K8s setup that’s as basic and elementary as it gets.
Paula Stack and Roser Blasco co-wrote this post. As a refresher, VMware Tanzu RabbitMQ is based on the hugely popular open source technology RabbitMQ, which is a message broker with event streaming capabilities that connects multiple distributed applications and processes high-volume data in real-time and at scale.
