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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.

Synthetic Monitoring for CI/CD Pipelines

For DevOps teams, delivering quality software has long required reconciling a major tension: In a perfect world, you’d catch every issue in each new release of your application before you deployed the release into production. But in the real world, doing so is tricky, not least because it’s hard to collect data about application performance before the application is actually deployed.

Automating Flask deployments with PythonAnywhere

Now that development teams know about CI/CD, there is no reason for deployments to become a time-consuming and cumbersome process. CI/CD may start with continuous testing, but adding automated deployments takes your CI/CD practice to the next level. Continuous deployment slashes the time it takes to release so you can spend more time improving the quality of your applications.

A Guide To Continuous Integration

Before continuous integration was invented, developers had to work on code separately before merging it into the end product. This technique had a high chance of error. If something was left out, it took time to determine the problem. Furthermore, communication between team members became difficult as the project grew. The larger the project, the more developers, engineers, and project owners were supposed to be faithful to each other’s schedules.

Functional vs non-functional software testing

When you think of software testing, what comes up first? For many developers, unit tests and integration tests are often top of mind. Both software testing methods are vital to writing and maintaining a high-quality production codebase. But they are not sufficient on their own. Your team’s testing practice should assess the entire application, observe the larger story of how it operates when functioning correctly, and raise alarms when deviations are found.

A modern approach to change management with Bitbucket Cloud and Jira Service Management

One of my teammates calls change management the "eat your vegetables of ITSM." Just like eating veggies is important for getting nutrients and staying healthy, there is good reason to practice change management — the need for coordination between sometimes misaligned teams and regulatory requirements. Of course, we all know getting our greens can be unappetizing. It's not unlike the often bitter process of navigating complex, slow, and bureaucratic change management systems.

SAST vs DAST: what they are and when to use them

As digital transformation accelerates and more organizations use software solutions to facilitate work operations, security threats have become more commonplace. Cybercriminals tirelessly develop ways to exploit software application vulnerabilities to target organizational networks. A notable example is the 2017 Equifax data breach, which exposed the personal details of 145 million Americans.

Getting Real About Multi-Cloud DevOps

By now you’ve probably gotten the message – multi-cloud DevOps (or a hybrid on-prem/cloud approach) is the future of development and deployment architectures. The benefits of this approach are pretty clear: future proofing your business, optimizing for performance and availability, avoiding vendor lock-in, leveraging the best tools/elements of each cloud provider, and more.

Build cloud infrastructure from your CI pipeline with Pulumi

Modern software systems are complex, with services distributed across data centers, in many zones, all around the world. Gone are the days when we managed individual servers dedicated to our organization, comfortable with the knowledge of the unique quirks of our setup. Now we rely on others to manage massive data centers where we borrow small slices of virtual space on shared hardware, traveling over shared networks, all in a system we call the cloud.