Operations | Monitoring | ITSM | DevOps | Cloud

Artificial Intelligence for IT Operations (or AIOps for short) continues to be a hot topic among developers, SREs, and DevOps professionals. The case for AIOps is especially crucial given the expansive nature of today’s observability efforts across hybrid and multi-cloud environments. As with most observability platforms, it all starts with your telemetry data: metrics, logs, traces, and events.

Splunk Mobile puts the power of Splunk in your hands. But with great power, comes great responsibility. That’s why this year with the release of Splunk Enterprise 9.0, we’ve shipped Splunk Secure Gateway (the backend service that powers Splunk Mobile) with even more features and tools to help you responsibly manage your mobile fleet.

Cloud cost anomalies are unpredicted variations (typically increases) in cloud spending that are larger than expected based on historical patterns. Misconfiguration, unused resources, malicious activity or overambitious projects are some of the reasons for unexpected anomalies in cloud costs. Even the smallest of incidents can add up over time leading to cost overruns and bill shock.

Nowadays, most organizations are highly dependent on APM technology, but many are shifting to automated monitoring, which is generally referred to as AIOps technology. AIOps is considered the future of operations management for organizations. As we already know, AI is considered the next revolution in the history of mankind. AIOps uses advanced AI for supporting day-to-day operational tasks so the employees don’t need to hassle for no reason.

The cloud is limitless – a key factor in its appeal – but it also introduces a new set of problems. Enterprises are looking to innovate at rapid speed, to achieve business outcomes, and deliver superior user experiences. But the majority of enterprises need to continue to maintain complex hybrid infrastructures as well as diversify their cloud strategies across multi-cloud environments.

There is a key difference between having more data and having more answers. That was the theme for Kentik at Networking Field Day 29.

In Cribl Stream and Cribl Edge, you can operate on your observability event data in flight, all the way down to the field level. Instead of writing complex regex to wrangle JSON and other structured formats, use Cribl’s built-in functions and extensibility to get the results you want. You’ll see formerly complex situations become easier to address and manage over the long term. In this blog, we’ll cover two troublesome use cases.

Whether you are a Site Reliability or Network Engineer, or simply involved in monitoring a digital service, you know by now that if DNS is not working properly – your users are experiencing an outage. However, despite its importance in ensuring the resilience and availability of the web, DNS is often not monitored correctly, which can mean undetected outages and any associated ripple effects on your business.