The latest News and Information on DevOps, CI/CD, Automation and related technologies.
The new Charmed Operator covering the Capsule Kubernetes extension allows users of Canonical’s Charmed Kubernetes distribution to automatically install and integrate Clastix Capsule Multi-Tenancy as part of the Kubernetes cluster deployment process.
Customer experience (CX) is becoming an increasingly strategic part of any company’s brand as businesses become more customer-centric. And thanks to technologies that give customers more options than ever, right at their fingertips, consumers expect a flawless CX, anytime and anywhere, regardless of medium. In other words, customer retention and satisfaction is intertwined with CX.
With over 50,000 active organizations and 250 million workflows, CircleCI is one of the most popular networked CI platforms. When getting started with CI pipelines, teams typically want to ensure that code will compile, pass unit tests, and build a container image. After catching these low hanging fruit of syntax errors, engineering teams need to dig much further to find business logic and scalability errors.
This post is the second in a series of deeper dive articles on the four DORA metrics. The first metric we looked at was Deployment Frequency, which is about how often code can get released to end users. In this second article, we’ll look at Change Lead Time, arguably the metric most familiar to developers.
If you are on Shipa Cloud today, you will have noticed a new module called Insights. We are pleased to announce the initial release of Shipa Insights and certainly have a lot in store as we continue to build out the module. As more items continue to shift left towards the developer and the rise of the full lifecycle developer continues to occur, outside of technical non-functional requirements such as connectivity, reporting and metrics are also important.
Without logs, or a good understanding of them, debugging an application or looking through an error stack trace can be challenging. Luckily, Flask logging can change the way you understand debugging and how you interact with logs produced by the application. The Flask logging module gives you a way to record errors over different severity levels. A default logging module is included in the Python standard library, and it provides both simple and advanced logging functions.
