Information ecosystems in the modern era are extremely complicated. Large amounts of data must be sent quickly and securely among thousands of networks’ applications, databases, and servers. That data, particularly sensitive information, should be protected at all costs against potential security incidents.
Cybercrime has become more prevalent since the start of the COVID-19 pandemic. Indeed, 81% of organizations worldwide experienced an uptick in cyber threats and 79% suffered downtime due to cyberattacks during peak season, according to a 2021 report by McAfee Enterprise and FireEye. Attacks have also become more complex. IBM and the Ponemon Institute report that the average time to spot and contain a data breach in 2021 was 287 days, a week longer than in 2020.
Ransomware, phishing, and malware are persistent and ever-evolving threats that today’s remote workspaces need to consider. The shift to a remote-first office, which for many has become permanent, has meant that companies need to be better equipped to protect their data in the cloud. Today, more than 45% of malware is delivered via the cloud.
When it comes to how truly intelligent Artificial Intelligence (AI) is, it’s a polarizing debate. Either AI will solve the world’s woes or robots will rule us all – Matrix-style. But it’s all a little more complicated than Hollywood makes it seem… For a deep dive, do listen to our Beyond the Data podcast hosted by Sophie Chase-Borthwick (Calligo’s Global Data & Governance Lead) and Tessa Jones (VP of Data Science Research & Development).
If you are considering Azure Files as the persistent storage for your Azure Kubernetes Service (AKS) applications, there are important considerations around AKS backup and recovery with implications on how you can perform Dev, Test, and Staging. This article outlines these data management considerations in detail and how to work around Azure Files limitation to achieve feature parity with using Azure Managed Disks.
