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Manage complex development projects by triggering pipelines from other pipelines

It is no secret that software development is becoming an increasingly complex process. The individual elements of software like apps, libraries, and services are interconnected and dependent on many other elements. Development teams deal with a whole ecosystem of services that they develop, maintain, or depend on, which in turn are dependent on other software ecosystems, maintained by separate teams. Maintaining this ecosystem is as complex as you might imagine.

Deploying a Gatsby site to Netlify using CircleCI

Gatsby is a static website and application generator that makes building powerful React-based frontend applications easy and effective. With over fifty thousand stars on GitHub (51.5k as at the time of this writing), Gatsby stands as one of the most widely used React frameworks. Gatsby is so popular that most hosting platforms offer custom support for the framework. Netlify is one of those platforms.

Unit testing vs integration testing

Software is one of the most complex tools invented for practical use. One misplaced character can break an entire application. So, careful testing is an essential requirement before publishing any code. In this article, you will learn about two fundamental types of software testing, unit testing and integration testing, and how your team can implement them in your CI/CD pipelines to validate your code quickly and deliver new features to your users with confidence.

Preparing your team for continuous deployment

A key goal for any DevOps team is to shorten the software development cycle and provide continuous delivery of high-quality software. Instead of continuing to the next logical goal, continuous deployment, most companies stop here. Developed code reaches the testing phase automatically, then, successful testing triggers a manual acceptance step. Only then is the application deployed into production.

Continuous integration for .NET applications

.NET is a popular open source, cross-platform development framework for building fast and scalable full-stack applications for the web, desktop, mobile, and the cloud. This flexibility makes.NET a leading platform for developing enterprise web applications and makes.NET development one of the most in-demand skills on the market.

Managing code signing on CircleCI using the runner

Code signing is an important part of testing and distributing your desktop and mobile applications. It ensures that the end user’s system can verify the legitimacy of your application. Because of the need for security around signed certificates, they are stored locally and not uploaded to the cloud. This constraint could prevent your team from fully automating your CI/CD pipeline.

Building for Windows using the MSIX orb

The MSIX orb is the first “Windows-only” orb from CircleCI. When Microsoft approached us with the opportunity to build an orb that would help Windows developers build on our platform, we were enthusiastic. Most of our orbs, and general workload, revolve around Linux and utilize Bash. However, we recognized the deep need to provide good CI/CD solutions for building applications on Windows, and with use of PowerShell growing steadily within Linux, it was time to take the plunge.

Automated testing for NestJS GraphQL projects

NestJS is fast becoming the de facto framework for NodeJS projects. Unlike older frameworks, NestJS was built with TypeScript, which has become commonplace in the JavaScript community. Frameworks like NestJS seem to be preferred by teams that adopt TypeScript. NestJS supports building APIs in REST and GraphQL. The goal of this tutorial is to show how you can add unit and integration tests to a NestJS GraphQL project and automate the testing process with CircleCI.

What is AIOps?

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Traditionally, the tech industry responds to complexity by applying extra brainpower to the problem, bringing in more engineers, developers, and management.