Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Managing Jira Cloud empowers and challenges administrators at the same time. Especially when dealing with critical data security and recovery issues. The complexity of tasks like project migrations, account transitions, or backup restores can often lead to unforeseen data loss or operational disruptions. In this article, you’ll explore how Jira admins can boost data security and prevent pitfalls. Especially while maintaining control over data during backups and migrations.

You can’t optimize your DevOps if you don’t track its metrics. However, measuring DevOps performance isn’t only about vanity charts or arbitrary numbers. The right indicators show how well your software delivery solutions perform under pressure. Combined with resilience architecture, these metrics guide your engineering teams to reduce lead time, cut failure rates, and recover faster.

If you are a part of the DevOps community, you may have heard of DORA metrics. These were introduced to allow organizations to track and measure performance, so that they can further improve their software delivery life cycles. Over the years, the DevOps Research and Assessment (DORA) team proposed four metrics to drive the performance of SDLCs: These four key metrics shall never be disregarded. Remember – DORA metrics measure information regarding your development and operations processes.

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.