One of the most pressing challenges modern CSOs face today is how to secure a data center best. Although protection from external threats is often the focus, internal threats could be just as devastating. To put this into perspective, a 2019 Cost of a Data Breach Report stressed that internal threats and system glitches are often accountable for half of the data breaches that occur.
Did you know that nearly 600 zettabytes of new data get created annually? Although this number may already seem incredibly large, it is actually around 200% more traffic than current data centers were able to process in 2018.
The challenges organizations face with maintaining their own IT infrastructure has encouraged them to seek alternatives to meet their data and computing needs.
Data Lifecycle Management (DLM) has become an important, yet overlooked, part of any IT business strategy in recent years. At its most basic level, DLM is a policy-driven approach that is often automated to ensure data is as useful as possible during its lifespan.
In the past, any time a business would request new applications or services, IT organizations would have to determine how they would be able to build the application to fit into their existing architecture.
Data centers are buildings that host servers, network, and storage hardware. This facility also hosts a range of other systems, including security, network connectivity, and electrical/mechanical systems (MEP).