Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

It’s hard to assume that most Jira admins are careless. They’re often overwhelmed. Jira isn’t just a project tracker. It’s not rare when, after some time, it becomes a labyrinth of configuration panels, permission schemes, and hidden behaviors that Atlassian sometimes changes – without notice. It’s no surprise that Jira in such a shape is also an easier target for potential attackers.

Among many vital elements of its growth, the life science industry thrives on intellectual property. That includes information on everything from groundbreaking drug discovery to clinical trials and medical devices. Protecting such data goes beyond technical challenges, and it’s one of the industry’s basic necessities. Yet, both aspects must be adequately addressed.

There is no doubt that Jira Sandbox’s migration to a production environment requires a well-thought-out execution supported by a robust fail-safe. This is followed by recommended best practices for the process and, above all, swift data backup tools. Going further, a backup is not just an emergency measure—it’s an integral part of your migration strategy.

DevOps has become an important practice for companies looking to efficiently meet customers’ expectations, accelerate software delivery, and optimize resources. Companies that embrace the DevOps culture can smoothly merge their development and operations teams, resulting in faster releases and better development.

Even though security tooling and automation in DevOps have advanced, human error remains the primary cause of cybersecurity breaches. It’s commonly known that nearly 95% of security incidents stem from our mistakes. A smiled dev philosopher would say: “We’re all just beta software in the giant simulation called life. Debugging takes time.”

Jira sandboxes provide strategic leverage for the development lifecycle. Unfortunately for IT teams, migrating them to production environments is rarely straightforward. That means backups should be immediately pointed out as a vital part of the process. A smooth migration means tested changes in the sandbox are moved to the live system without errors. This makes the platform stable and minimizes potential problems.

Switching from GitLab to Azure DevOps offers the opportunity to reconsider your processes, streamline your pipelines, and match your tools with your objectives. Primarily if your company uses Microsoft software. Still, more than just technical expertise is needed for such a migration. It includes a plan to handle any potential problems. This article will help you get familiar with the complexities of migrating projects, repos, metadata, etc., between GitLab and Azure DevOps platforms.

Given today’s reality of cyber security, healthcare organizations are always at risk of getting attacked. A Sophos‘s study outlines that out of the surveyed organizations, 59% have been impacted by ransomware attacks in 2024. What is more – only 22% have actually fully recovered in less than a week. However, for 37% of those institutions, it took over a month to recover. This is why it is crucial to adhere to regulatory frameworks and keep your data secured to the highest standard.

It’s easy to get lost in the plethora of continuous DevOps monitoring and DevSecOps tools available in the IT world nowadays. With the help of such continuous DevOps monitoring tools, CTOs and CISOs can leverage the security of their software development and ensure that their source code has no mistakes or vulnerabilities; what is more, it will never be lost.

Jira is a project management tool that helps IT teams simplify their DevOps and PM processes. Also, it supports easy collaboration throughout the team, thanks to the complex issue-tracking system. However, one thing you should be cautious of… It is the accidental or intentional deletion of important issues. Why?