Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Human error is one of the most common causes leading to data loss or data breaches. In the ITIC report, they state that 64 % of downtime incidents have their roots in human errors. If you think that in SaaS environments all your data is safe, you need to think once again.

Once we say Disaster Recovery, we imagine that if something goes wrong – unexpected deletion or other human error, ransomware attack, outage, etc. – we can restore our data immediately. But is it so in practice? Only if you have a reliable backup for your DevOps stack and a tested DR plan for every critical scenario… According to Backblaze’s report, only 42% of organizations that experienced data loss managed to restore all their data.

The transition from DevOps to DevSecOps – and now to SecDevOps – signals more than a change in terminology. It underscores that security can no longer be an afterthought in the software development lifecycle. It must lead, setting the tone and structure for everything that follows. Such a shift is what defines SecDevOps. It’s a model where security is the starting point, not the final checkpoint, guiding the conceptual approach and day-to-day operations.

Consider a typical scenario. Your development department scales along with the company. Your needs grow, so teams plan to adopt specialized tools for different purposes. The decision is to use Jira for product and issue tracking. Elements like version control, pipelines, and deployments will be managed in Azure DevOps (ADO). Each platform excels in its domain, but running them in isolation is a different story.

With the growing popularity of Azure DevOps comes an increased need for proper security of data being stored there. A large aspect of ensuring the security of Azure DevOps ecosystems lies in facilitating data resilience. This means to guarantee the availability to protect, keep, and recover data in case of any disruptions, both intentional and accidental.

GitProtect v2.0.0 is here. We are proud to announce that your DevOps Backup & DR solution now supports fast and reliable Jira Automation Rules – with both Disaster Recovery and Granular Restore! This release also brings.

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.