Harness

This blog delves into the ins and outs of Dynamic Application Security Testing (DAST), the steps involved in implementing it, and the tools and techniques that can help you stay ahead of security threats.

In this blog, we look at best practices for effectively managing and monitoring software applications. 

New Harness Continuous Integration and Feature Flags integrations in Jira provide customers with deeper visibility across the development process.

In this blog, we’ll explore the concept of automation testing and its benefits, as well as some best practices and common challenges.

Implementing the four DORA metrics should be the basis for all organizations to begin their journey to software engineering excellence.

During this blog series, we will drill down on one potential maturity path for Engineering Excellence.

The right metrics can point out issues or bottlenecks early on in the Sprint so that those can be rectified quickly.

Let's discuss six factors that impact overall developer happiness and efficiency.

Learn more about how you can manage and prevent scope creep.

In an organization, the need for good data hygiene trumps everything else.

In this blog, I would like to share the key traits necessary for both promotion and success at the head of engineering level.

Learn the various steps involved in performing a root cause analysis, including identifying the underlying cause, assessing root causes, prioritizing and implementing solutions, and evaluating success.

In this article, we will explore what engineering metrics are and how they can help organizations deliver better results, enhance productivity, and improve processes.

In this article, we delve into the fundamentals of penetration testing, its various types, benefits, tools, and risks, as well as the regulatory requirements and the future of the practice.

Harness is excited to announce The Code Rush, a new show that will help developers, programmers, and software architects learn how to improve their build, integration, test and deployment skills.

As Harness celebrates Black History Month, we’re honored to share the unique perspectives of a few members of our team who have graciously shared their stories. 

When it comes to static vs dynamic code analysis, what’s the difference between them, and how do you know which one to use?

In this post we will highlight formatting guidelines and different Java coding styles in companies like Google, Twitter, Mozilla, the Java standard, and our own teams at Harness.

In this post, we’ll cover the basic differences between the two, when it’s best to use one rather than the other, and when it’s best to use them together.

We ran a benchmark test to see how fast four of the most popular JSON libraries for Java parse different sizes of files. This benchmark can help you decide.

In this post, we highlight the shortcomings of relying on stack traces alone for investigating Java NullPointerExceptions.

Enterprise application performance monitoring: A practical comparison between AppDynamics and Dynatrace.

In this post, we’ll explore the resulting data set from another angle, shed some more light on the dataset, and put the focus on the use of standard java.util.logging levels

Rather than asking what specialized framework you need to build a new microservices architecture, let’s ask how we can use current frameworks to support the same goal.

In this post, I’ll cover my experience in setting up an Alpine Linux workstation for C++ and Java development, with some hopefully useful Alpine know-hows, tips, and resources.