Operations | Monitoring | ITSM | DevOps | Cloud

Latest Posts

Application logging with Flask

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.

Code quality metrics: How to evaluate and improve your code

High-quality code is efficient and reliable, runs well without bugs, and meets user needs. It can cope with errors or unusual conditions. It is also easy to understand, maintain, and expand with new features. Additionally, its portability means that it can run on as many machines as reasonably possible. Development teams work with codebases that are constantly changing. They add, delete, and modify existing code to improve speed or implement new features.

Creating snapshots in Jest for testing React applications

Automated tests are especially important in large applications that have lots of moving parts. It is smart to learn about many methods of testing applications so that you can provide as much coverage as possible. If you are not familiar with using snapshots in testing, read on. Snapshot tests are written as part of frontend test automation.

Implementing access control policies in CI/CD pipelines

Imagine yourself in this situation: You are a motivated and skilled DevOps or DevEx engineer. You have a plan to implement automated, complete CI/CD pipelines. You know how to do it, and you know how the extra productivity and automation will benefit your team and the whole company. But the project is never approved, because of security concerns. Many organizations, especially those in regulated industries, have strict requirements for releasing their software, and rightfully so.

Continuous deployment of a Nest.js application to Heroku

If you have been around for a while in the field of software development, especially web development, then you know how tedious and stressful it has historically been to deploy your source code to a webserver. Most of the time, this was accomplished by uploading it using File Transfer Protocol (FTP). But now we have numerous ways of automating the deployment process. In this tutorial, we will learn how to set up continuous deployment of a Nest.js application to Heroku using CircleCI.

Setting up continuous integration with CircleCI and GitHub

Continuous integration (CI) involves the test automation of feature branches before they are merged to the main Git branch in a project. This ensures that a codebase does not get updated with changes that could break something. Continuous delivery (CD), on the other hand, builds upon CI by automating releases of these branches or the main branch. This allows small incremental updates that reach your users faster, in line with Agile software development philosophy.

Automating the deployment of LoopBack applications to Heroku

Before automation became commonly used by software development teams, bottlenecks, repetitive tasks, and human error were rampant. Automation has freed up valuable human resources for organizations while reducing the risk of human error caused by active human brains trying to perform mundane repetitive tasks. Recent strides in the area of continuous integration and continuous deployment (CI/CD) have made it more feasible to automatically deploy updates to software applications.

Deploy application environments on demand with the Quali Torque orb

Most developers care about building the next big thing. Automating your build, test, and release processes allows you to maintain focus on innovating and delivering value to your users. By combining the power of best-in-class CI/CD workflow orchestration with managed environments-as-a-service, developers can stay focused on building what’s next.