Stop. Before you start adding KPIs to your brand new glass table, make sure you’ve done your homework on design principles.

Today, Splunk announced a new milestone release of SignalFx Microservices APM, introducing groundbreaking innovations including: Full Fidelity tracing, AI-Driven Directed Troubleshooting, and open framework instrumentation. With the Splunk acquisition of SignalFx and Omnition now behind us, we’re excited to announce a new, revolutionary release of SignalFx Microservices APM.

It has certainly been quite a month. With millions of workers forced to stay home due to COVID-19, or in some cases laid off altogether, the world’s networks have been under some unusual strains. Let’s see how that’s played out during this month in glitches.

At first glance — and probably second and third as well — having too much traffic seems like a really nice problem to have; like when billionaires struggle to decide which yacht to buy (“I say Thurston, the one with the tennis courts is quite lovely, but the one with the outdoor cinema is so charming”). However, too much traffic really is a problem, because it causes websites to either dramatically s-l-o-w down (which is terrible) or crash (which is worse than terrible).

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.