Operations | Monitoring | ITSM | DevOps | Cloud

The idea of applying artificial intelligence and machine learning to more rapidly and accurately resolve IT incidents and manage alerts has been gaining steam in the past year. While AIOps, as it’s frequently called, has spawned an entirely new market of startups, many enterprise IT leaders are playing a cautious hand so far – and for good reason. There are risks, though. If an AIOps tool goes wrong out of the gates, IT and executive trust diminishes.

DEJ's The Roadmap to Becoming a Top Performing Organization in Managing IT Operations report found that 40% of IT teams use more than 10 monitoring tools to ensure the right levels of operational visibility and control. Given the diversity of tools used by enterprises, the only way to ensure collaborative unified incident management is to use a modern AIOps platform with native infrastructure discovery and monitoring instrumentation.

If you sit back and look at what you’ve actually achieved over the last couple of weeks, you should feel very proud of yourself and your team. With virtually no warning, you’ve supported your clients well through the greatest business upheaval in modern times. You’ve probably set up countless VPNs. And no doubt you’ve been hunting around for new laptops, just like everyone else. While the COVID-19 situation is changing daily, the dust is starting to settle a little.

The Vanilla framework has a history of being released very infrequently. Sometimes it has been months between releases, which made the upgrade process often hard and time-consuming. One of the reasons for that was a manual and a quite time-consuming release process. Over several weeks earlier this year, we’ve been working on various improvements that helped us release more frequently and reliably.

In part 1 we will talk about the industrial applications and benefits that 5G and fast compute at the edge in the form of ‘smart cell towers’ will bring to AI products. In part 2 we will go deeper into how you can benefit from this new opportunity. Part 3 will focus on the key technical barriers that 5G and Edge compute remove for AI applications.

There is a lot to consider when weighing up SQL server monitoring solutions, with various competing providers delivering compelling packages that promise to boost performance, improve maintenance and enhance troubleshooting. SentryOne is a leading light in this market when it comes to the best SQL server monitoring tools, so here is a look at the features and functions that are included in its SQL Sentry monitoring suite.

We’ve already heard from a couple of customers that continuous operation of critical IT is a ‘must’ in our turbulent times. Not only to facilitate remote work and home office for an unprecedented number of workers but also to keep critical IT infrastructure going. Our customers attest that Enterprise Alert is most critical for them in today’s challenging times and it helps them to stay afloat and be fully operational from their home offices.

People working in digital enterprises will have no doubt noticed that customers have an insatiable appetite for new features and updates, with next to zero tolerance if digital services are performing poorly – or not at all. To thrive and survive in the digital era, it’s become an imperative for organizations to innovate at an unprecedented pace.

Logging is vital to the success of any IT project. With solid logging practice, you can troubleshoot errors, find patterns, calculate statistics, and communicate information easily. With the size and complexity of modern systems, performing these actions involves various analysis activities. One of these important analysis activities is anomaly detection. What is anomaly detection, and where does it fit in all of this? That’s what this post is about.

It’s new from Forrester: “The Three Customer Service Megatrends In 2020: Fuse AI and Agents to Drive Better Experiences.” We won't reveal all the details in this blog – you’ll need to download the complete report for that, but we will preview one takeaway of growing interest: “Your organization needs Superagents, and they need AI.”