Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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?

We’re excited to announce that GitProtect, an enterprise DevOps Backup & Disaster Recovery software, is now officially available on Microsoft Marketplace! This milestone represents more than a new distribution channel. It reinforces our commitment to delivering secure, enterprise-ready DevOps data protection, which is now also accessible through a trusted Microsoft ecosystem.

WORM (Write Once, Read Many) is a data storage model specifically designed to guarantee data integrity over time. In a WORM-compliant storage, data is written once and cannot be altered or erased for a defined retention period (can be read as often as needed though). Table of contents: hide What is WORM (Write Once Read Many) How WORM works in practice WORM vs immutable storage Why WORM is important against ransomware WORM-compliant storage in GitProtect Why WORM alone is not enough.