As we look to improve the quality and capabilities of the JFrog DevOps Platform, especially in the world of DevSecOps, we have added powerful new features to further enhance the award-winning JFrog Xray. The capabilities detailed below cement Xray’s position as a universal software composition analysis (SCA) solution trusted by developers and DevSecOps teams globally to quickly and continuously identify open source software vulnerabilities and license compliance violations.

When your organization becomes bigger, managing the users and groups lifecycle becomes a significant challenge. Your company grows rapidly, hiring new employees, and giving them access to more and more applications that your organization uses. This means that there are many employee-related actions that need to be taken when an employee changes their team, role, leaves temporarily or permanently (otherwise you may end up with operational, security or compliance issues).

As software gets more complex, so do software builds. With applications being composed of multiple services — often developed by separate teams — it can be challenging to automate a unified continuous integration process. JFrog Pipelines is unique among DevOps CI/CD solutions in empowering developers to create highly complex DevOps Pipeline workflows. Pipelines can be defined with multiple paths, trigger points and trigger types.

At JFrog, we’ve seen DevOps and DevSecOps adoption growing robustly in Asia-Pacific (APAC), as the region’s large enterprises recognize the competitive advantage and importance of DevOps and digital transformation. In fact, by 2025, up to 25% of Asia’s 500 largest companies will become software producers to digitally transform and maintain their A500 status, IDC predicts1.

JFrog and PagerDuty have deepened their technology integration to further boost IT operators’ and developers’ visibility into the software development lifecycle and accelerate incident resolution. The latest integration, which involves the JFrog Pipelines DevOps pipeline automation solution, simplifies and streamlines how to identify faulty builds that impact production environments.

We all want to develop everything super fast. So, when something like a “simple” database sync process takes ages, we need to think outside the box. Here are the solutions we implemented, in JFrog Xray, to improve our DB performance, reducing the sync time from 16 hours to 2 hours!

A few months ago, I was asked if I wanted to develop an open-source Terraform provider. Eleanor Saitta, principal at Systems Structure Ltd, had a client who was setting up JFrog Xray across their Github repositories but didn’t want to configure each repository by hand. As an SRE who enjoys working on projects that automate away those sorts of pain points (and someone who works extensively with Terraform during their day job), this sounded like an interesting project to work on.

With software supply chain attacks on the rise, are you wondering how you can recover quickly from the recent SolarWinds breach at your company? Months after its discovery, the devastating SolarWinds hack remains a top concern for business, government and IT leaders. This destructive supply chain attack put the spotlight on software development security — a critical issue for the DevOps community.

It’s do or die. In today’s brutally competitive digital economy, it is imperative for organizations to transform themselves into software-driven businesses — becoming “digital innovation factories” that can quickly and efficiently create and distribute new digital services. This enables them to be resilient, nimble, and innovative, creating business value and responding to market shifts and to customer needs. What does it take to keep your digital innovation factory humming?

Have you wanted to explore JFrog Pipelines for DevOps automation but just haven’t been able to get started? To learn something new, it can help to start with what you already know well. Whether you’ve dabbled in CI/CD or are a veteran, you’re likely to have some working knowledge of Jenkins.