Operations | Monitoring | ITSM | DevOps | Cloud

Modern applications are interdependent on different devices and servers. If you are not familiar with your software structure, you will encounter problems when you make changes within your application. To prevent this, you need to observe application discovery and dependency mapping (ADDM).

Argo Rollouts is a progressive delivery controller created for Kubernetes. It allows you to deploy your application with minimal/zero downtime by adopting a gradual way of deploying instead of taking an “all at once” approach.

A floor of commotion bustling with people holding phones and shouting out purchase and sell orders, some using hand signals to communicate over the noise. This was a common scene on Wall Street in the 1980s. Nowadays, transactions happen at the push of a button with traders sitting directly in front of a computer. In fact, the computer has made it possible to automate the buying and selling of securities, leading to an era of high-frequency, algorithmic trading.

The key to maximizing revenues and ensuring foolproof security is to actively monitor infrastructure. With virtualization growing increasingly, virtual machine or VM performance monitoring is one of the most crucial parts of infrastructure monitoring. This is because as opposed to a physical server or machine, detecting problems in a VM can be even more challenging.

Wouldn’t it be handy to quickly spin up a Kubernetes cluster for CI testing, on-demand? Interested? If so, read on! Here at Codefresh, many of our customers develop Kubernetes-native applications. A common CI task is to create a Kubernetes cluster to test out deployment processes and integrations. Often, such tests can be greatly simplified if this cluster is ephemeral – that is, it is created on-demand for each build of a test pipeline.