Multi-cloud is inevitable. With AIOps, struggling in its complexity doesn’t need to be. Business technology stacks don’t appear out of a vacuum. For the modern cloud-enabled, cloud-dependent company (that is to say, most of them), the look from the inside looks more like an ongoing evolution than a monolithic choice.

Operations staff get a hard time. The lowly systems administrator (sysadmin), database administrator (DBA) and all the other operations engineering team members from cyber penetration specialists to user acceptance testing (UAT) and so on are generally unloved.

In June, the research firm GigaOm, published the 2022 edition of their annual Radar for AIOps Solutions, having had time to digest the contents, it seems a good time to summarize the key takeaways from the Moogsoft perspective. Firstly, in case you are not familiar with GigaOm, here’s a brief introduction.

Artificial Intelligence (AI) is all the rage these days. Everywhere you look, companies are promising to solve your ills by applying AI to whatever problem you’re trying to solve. It doesn’t seem to matter what area you are in; medical, research, education, technology, software or anything else. Someone, somewhere is offering an AI-based tool that will solve all your problems.

In today's business and IT environment, marked by constant change and transformation, if you’re a managed service provider (MSP), you are probably struggling to keep up. You’re faced with the need to modernize your operations, but the speed at which you can do so is constrained by years of accumulated complexity and chaos.

“Make life easier” isn’t a mantra for the lazy—it’s a way to drill down on important automation in the IT Ops room. When Ryan Taylor, VP of solutions engineering at Transposit, talks about his experience and outlook in the IT Ops chair, people tend to listen.

Every product or application needs a release strategy. It’s how you can double check that everything in your deployment is appropriately tested, validated and verified. Having a standardized release strategy in place allows your team to follow a protocol and reduce the number of unknowns they must face in the product life cycle. However, there are a few considerations to make this critical process run smoothly.