In a series of four articles I’m going to describe the foundational technology behind CodeZero, describe some of its features, and show how it can be of tremendous benefit to any development team or individual deploying their software to Kubernetes. You can read the first article on Medium, where I dive into some of the core concepts that you need to understand to get the most out of CodeZero.
Picking the right performance testing tool can be a challenge. What should you look for and what is important? Performance testing is a phrase many developers have come across at some point, but what is it exactly? In simple terms, performance testing is a software testing practice used to determine stability, responsiveness, scalability, and most important, speed of the application under a given workload.
One of the real joys of entrepreneurship is to see your product take off. When I say “take off”, I mean that moment you get as many thousands of new customers sign-up every single day as it took the company the past two years to acquire. I cannot begin to describe the exhilaration and the stress as you see your cloud infrastructure numbers skyrocket.
Modern microservices-based architectures require companies to change not just the way they build applications but also how to deploy them. Basically, the new microservices foundation should be based on two main pillars: hybrid deployments and Kubernetes orchestrator. With the complete separation of the control plane (CP) and data plane (DP), Kong Gateway fully supports hybrid deployments.
At CodeZero, we believe that modern DevOps practices are key to unlocking the full value of Cloud Native Computing. “Halyard” is a new approach to Developing, Deploying and Managing containerized applications that run in any Kubernetes environment. With v 1.1.0 of Halyard, CodeZero delivers the following features to developers.
Speedscale is seeking to cut time and errors out of the Kubernetes and container delivery pipeline with their ability to discover API connections, automatically generate tests and data, replay traffic, and spin up realistic lab environments and reports within the tight time windows of cloud-native development.
