Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML) and other artificial intelligence (AI) technologies to automate the identification and resolution of common IT issues. The systems, services and applications in a large enterprise produce immense volumes of log and performance data. AIOps uses this data to monitor assets and gain visibility into dependencies within and outside of IT systems.

A digital platform may have billions of messages flowing through it each day, with real-time updates considered the standard by customers and enterprises. Ensuring that messages aren’t duplicated or lost in the process is an arduous task, and one that is the focus of IBM MQ, an enterprise-grade messaging solution that has been on the market for over 25 years.

Welcome to the November 2022 edition of Open Source Matters where we cover the latest news in open source technology. I’m your host, Ben Lloyd Pearson, let’s dive in.

Modern AIOps doesn’t just fix outages — it prevents them – Is your business one accidental click away from a major outage? We saw it happen with Atlassian earlier this year. You may already have an incident management strategy and monitoring, but is it adjusted for the ever-changing IT infrastructure and application architectures? Putting appropriate protocols in place ensures that one human code push can’t shut down an entire system for three weeks.

Hybrid cloud has become a popular computing model in recent times. Find out all you need to know, including its features, pros and cons As computing needs evolve, enterprises continuously find it difficult to scale their business offerings on private or on-premises computing environments. That’s why there are third-party or public cloud providers to enable businesses to carry out larger computational workloads.