Operations | Monitoring | ITSM | DevOps | Cloud

Back in September when Cisco announced they were acquiring Splunk, we explained how the market was consolidating with Sumo Logic ahead of the pack, challenging traditional vendors with our cloud-native platform. Now that the deal is complete and Splunk is officially a Cisco company, we’re hearing from more Splunk customers who are considering their options.

Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.

My introduction to the world of data science was writing anomaly detection for a SIEM that catered to banks and credit unions. Some of these places were running on 50-year-old IBM core banking servers — meaning that someone trying to turn off a light in a server room could take down an entire bank with a literal flip of the wrong switch. While some companies take their time updating infrastructure, others still embody the move-fast-and-break-things philosophy of the early dot-com era giants.

Today, we are pleased to announce the general availability of Elastic 8.13.

It’s been nearly ten years since “The Ultimate CPU Alert – Reloaded” and its Linux version were shared with the SolarWinds community. At that time, managing CPU data from 11,000 nodes, with updates every five minutes to a central MSSQL database, was a significant challenge. The goal was to develop alerting logic to identify when a server was experiencing high CPU usage accurately.

Telemetry data is growing exponentially, but the business value isn’t increasing at a similar pace. Getting the right telemetry data is hard, so I recently had a conversation with Matt Aslett, Director of Research at Ventana Research, now a part of ISG, about five myths and realities in telemetry data handling.