AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Traditionally, the tech industry responds to complexity by applying extra brainpower to the problem, bringing in more engineers, developers, and management.

Deck the halls! It's time for the annual holiday Code Freeze, that festive time of year when businesses impose a precautionary halt to code changes and Operations should be quiet. But before you kick up your feet, make sure that demand doesn’t lead to availability embarrassments. After all, retail experts suggest that we’re in for another online-heavy holiday shopping season, so businesses need to brace for increased digital traffic...with little tolerance for failure.

As a commercial pilot landing at night on an unfamiliar runway, the last thing you want is a cockpit alarm telling you the passenger in 14A wants more ice in their soda. You need to concentrate on the job at hand. At that critical moment in flight, you only want visibility into the alarms that matter. It’s the same with your monitoring environment. Too often, you can be overwhelmed by a tsunami of alarms—thousands of monitoring alerts that all point to the same problem.

This is the third in a series of four ScienceLogic blogs on the topic of the Department of Defense Information Network (DoDIN), including what it is, what it means to be approved under DoDIN standards, why it is important to both our federal and private industry customers, and the process for being approved for listing.

Nearly two-thirds of IT executives say they plan to implement automation technology within the next year and a half. Despite this ambitious goal, however, 50% of those IT leaders admit that a lack of automation skillsets is currently hindering their progress. As the demand on IT infrastructures continues to grow at an astronomical rate, an epic increase in complexity has inevitably followed.