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.
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.
An organization at Level 2 in the Observability Maturity Model has built on the foundation of their monitoring capabilities and taken the first steps into observability. In recent years, two major trends have driven the need for the deeper insights that observability can provide.
After months–or potentially, years–of hard work by teams across a gaming enterprise, when the day arrives for a game launch, the last thing your enterprise needs is slowdowns, glitches, outages or poor performance. It’s the death knell for any game, because for your avid gaming customers, there’s always something else (read: a game that isn’t yours) to check out.
At Broadcom Software, we’re constantly trying to speed value delivery and minimize upgrade efforts for our customers. Toward that end, the DX Unified Infrastructure Management (DX UIM) team releases cumulative updates every calendar quarter. In addition to quality fixes, these cumulative updates include performance improvements, feature enhancements, and expanded platform support. Recently DX UIM 20.4, cumulative update 4, was released for both Operator Console and Server Core packs.
Apache Kafka is a high-throughput, low-latency platform for handling real-time data feeds. Its storage layer is in essence a massively scalable pub/sub message queue designed as a distributed transaction log. It can be used to process streams of data in real-time, building up a commit log of changes. Kafka has strong ordering guarantees that enable it to handle all sorts of dataflow patterns including very low latency messaging and efficient multicast publish / subscribe.
