Curated articles, resources, tips and trends from the DevOps World.
The beauty of CI/CD is that you set it up once and enjoy the “fruits” of that forever. CI/CD pipeline setup varies greatly depending upon whether your resources are VMs, containers or serverless but there are some common best practices which must be followed as part of your CI/CD pipeline setup.
Generally when we think of CI/CD, we think of a build server. This could be a machine that we have locally or could be a cloud provider that lets us build our apps on some virtual machine somewhere in the world.
What is Infrastructure?
The Virtual Kubelet simulates a node to the Kubernetes API. It allows to schedule pods on for example Serverless Container Services. Serverless Container Services are available on Azure, GCE, AWS and allow to create, run, and scale containers.
Prometheus is a popular software for monitoring and alerting. Written on Golang, Prometheus uses a pull model. It means that we need to provide endpoint, usually /metrics, where scrapping jobs from Prometheus can find our metrics. Cool. Let’s start.
While container technologies are the main goal of many solution architects for running applications. Virtual machines (VM) are still crucial to day-to-day organizations as some applications, at the moment, cannot be containerized due to certain constraints.
Outages happen, it’s inevitable. But, unplanned downtime often comes with substantial costs—not only in terms of recovery and revenue loss, but also customer happiness, brand reputation and employee morale.
Outsourcing, digitization, and globalization are three of the largest trends in the last 30 years. They've brought new products and services, increased specialization, lower costs, and improved access. But they've also introduced significant cyber risk.
According to Amazon Web Services(aws) cloud computing is known as “The on-demand delivery of IT resources over the Internet with pay-as-you-go pricing.
Kubernetes is turning out to be the de-facto orchestration tool for enterprises to run their workloads with high availability. This can be attributed to the fact that Kubernetes abstracts away the complexities of working in distributed environments.
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