When an incident strikes, it often brings a whirlwind of stress for everyone involved—from the teams directly handling the issue to the stakeholders making crucial decisions. Imagine support teams on high alert, customers anxiously awaiting resolutions, and executives probing for answers to steer the company through turbulent times. This mounting pressure can make a challenging situation nearly unmanageable, especially when faced with problems that are new or unexpected.

Over the next three blogs, I want to explain how we used machine learning to increase Cove Continuity boot-check accuracy to 99%. Cove Continuity offers the ability to restore source (protected) servers/workstations to virtual machines (VMs) in Hyper-V, ESXi, or Azure. After a VM is restored, Cove performs a boot-check test to prove that the system was properly restored.

By its very nature, shadow IT is often unseen by IT security teams. This oversight routinely risks organizations violating data privacy laws, distorting IT budgets, and being exposed to nefarious actors. In a remote work environment, shadow IT poses a new threat that must be actively managed. → Download your free Shadow IT Report.

We are excited to release our tooling for continuous profile-guided optimization (PGO) for Go. You can now reduce the CPU usage of your Go services by up to 14 percent by adding the following one line before the go build step in your CI pipeline: You will also need to supply a DD_API_KEY and a DD_APP_KEY in your environment. Please check our documentation for more details on setting this up securely.