Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As daily Jira users, the GitProtect Team experiences the platform’s pros and cons firsthand. A recent notification from Atlassian about data loss was a sharp reminder of digital fragility. Without GitProtect, our enterprise-grade backup solution, the loss could potentially turn into a critical data incident. Let’s see what happened and how we responded.

There’s no infrastructure that’s always on and immune to all kinds of threats. Even the top providers leave a tiny margin in their Service Level Agreements (SLA), stating 99.999% uptime at most. The cloud, advertised as the universal cure for the problems of legacy on-premises setups, also turned out vulnerable. The most obvious and impactful manifestations of cloud vulnerability are cloud outages.

The huge news is coming: GitProtect is the first solution on the market to support the backup of the GitHub Enterprise Cloud with Data Residency environments. The launch of version 2.2.0 also brings more secure and efficient AES-GCM encryption, a refreshed dashboard, a new onboarding experience, support for Azure DevOps related work links, and much more. Let’s dive into all the new features.

Backups are as good as the testing carried out to check effectiveness. Key aspects to consider when verifying GitHub backup effectiveness include: Has all data been covered and successfully backed up? Is the frequency of backup appropriate? Are recovery procedures correctly implemented? Read on as we shed more light on testing GitHub backups. Find out more about backup testing best practices, the issues that may arise, how to address them and why backup verification is so important.

What can bring together development and operation teams better than DevOps, a prevalent agile methodology? It involves new management principles, cultural change, and technology tools that boost the team’s development, collaboration, and productivity while they cooperate on software development.

As DevOps environments generate continuous data changes and traditional backup windows assume quiet nighttime periods, proper backup scheduling can become difficult. Modern SaaS platforms often run 24/7 pipelines and commits. Without designated space for backups, and proper management, poorly scheduled backups may cause: In this article we’ll go into what the backup windows are and how to manage them.

You’ve entrusted your Git and/or SaaS app data to popular cloud platform providers like GitLab, Atlassian, and Microsoft. But are you 100% sure about the data security, considering that your organization lives and dies by it? Do you have a backup and recovery plan? Or do you rely on your cloud provider only? Get to know how to implement cloud-to-cloud backups to stay with the modern cloud technology, while giving your business-critical data in the cloud maximum protection.

SaaS uptime doesn’t guarantee you can recover fast or restore the collaboration context you need. The Shared Responsibility model/Limited Liability model gap shows up as money lost through rework, downtime, compliance drag, and trust friction. It’s usually driven by short retention, missing metadata after exports or migrations, untested restores and recovery copies that are not separated from production admins.

The aim of DevOps automation is clear: reduce human error, shorten feedback loops, make repetitive tasks more efficient, and enforce security along with recovery by default. By implementing automation the need for human intervention is reduced – tackling the most common cause of data loss. Table of contents: hide Automation in DevOps Important aspects for automation tools AI in DevOps automation.

Growing firms migrate between Git-based platforms to provide the capabilities they need. The goal is to secure repos while integrating them with various tools. It may sound trivial, yet repos and DevOps platforms are inherent to business growth and evolution. A typical example may be moving repos from Bitbucket to GitHub. If so, let’s consider why and how you can migrate your repositories from Atlassian to a Microsoft-owned solution. Table of contents: hide Why migrate from Bitbucket to GitHub?