Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In software engineering, the deployment process is not just about running a script and hoping it sticks. A big part of it is automation, not as a luxury, but a necessity. And that’s where Azure Pipelines steps in. The software provides a robust CI/CD engine embedded in the Azure DevOps ecosystem. Developers and DevOps engineers working with version control systems, containers, or even legacy monoliths can leverage Azure Pipelines.

The General Data Protection Regulation (GDPR) isn’t new, yet many organizations still struggle to meet its requirements. Why? It’s in part, at least, because GDPR is just plain hard to follow. As it turns out, meticulously protecting the personal data of 450 million citizens of the European Union (EU) isn’t easy. Most IT professionals, managed service providers (MSPs) and business leaders know what GDPR is. Many know what it requires.

Today, data is the engine of modern business. Yet, the threats to that engine — from sophisticated ransomware attacks and cloud misconfigurations to simple hardware failures — have never been greater. For organizations of all sizes, a reliable server backup strategy is more than an IT task — it’s a foundation for survival. Without truly reliable server backup solutions, a single incident can lead to catastrophic downtime, regulatory fines and permanent damage to your reputation.

Your backup system is supposed to be your safety net. It’s the insurance policy that lets you sleep at night knowing that even if disaster strikes, your business can recover. But there’s a problem: ransomware attackers know about your backups too. And they’re coming for them first. According to data shared in our recent webinar with Pellera, 89% of organizations that experienced ransomware attacks saw clear indications that attackers specifically targeted their backup infrastructure.

The benefits of offering managed services to health care organizations are obvious. The problem? Health care disaster recovery (DR) creates a complex web of compliance requirements that can quickly turn profitable clients into costly liabilities. Health care data breaches average $10.93 million per incident — that's more than double the cost of breaches in other industries. For MSPs serving health care clients, disaster recovery isn't just about getting systems back online.

When Amazon Web Services’ US-East-1 region went down recently, a long list of global apps and services went with it. For most companies, that meant a few hours of frustration. For APRA-regulated financial institutions in Australia, an outage like that is something much more serious — a compliance and operational-resilience test under CPS 230, which is now in force as of July 2025.

Consider that your backup is running smoothly. Your dashboards are green. The DevOps team is sleeping peacefully. And yet, behind the calm surface, something is happening. Your API limits are being chewed up, call by call, until you’re throttled into silence. Suddenly, your system stalls – quietly and invisibly. The irony is, you build a backup system for resilience. Now, it’s the vulnerability. There’s a quiet assumption built into most backup systems.

Historically, agent-based backup systems have been the norm. These systems operate by running software on the production machine, in tandem with the production application. The agent must communicate with its central data protection server for backups to be executed. The agent’s role is to read production data through the OS layer, process it, and transmit backup data to a media or backup server, where it is ultimately stored on a typically proprietary backup storage device.

October 2025 brought disruptions across cloud infrastructure and retail sectors, exposing vulnerabilities in enterprise IT systems.

Repositories move as organizations evolve. Whether they merge or teams reorganize, or tool licensing changes, or compliance requires a shift in hosting regions, a change is inevitable. For IT decision-makers and admins, these transitions are less about preference. The goal here is continuity. A migration failure can stall development and corrupt history. With the latter, fracture audit trails follow. Considering the above, cross-platform support for data migration is therefore an operational demand.