Operations | Monitoring | ITSM | DevOps | Cloud

I’m thrilled to announce today that Logz.io has been named a Visionary in the 2022 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability. Gaining this recognition from these leading industry experts, in my opinion, is an outstanding accomplishment for our entire organization – the product of years of hard work and putting the needs of our 1,300-plus customers first.

We are excited to announce that Elastic has been recognized as a Visionary in the 2022 Gartner Magic Quadrant for APM and Observability for the second year in a row. In addition, the Elastic solution scored among the Top 3 vendors in five out of six use cases in the 2022 Gartner Critical Capabilities for APM and Observability.

Every enterprise collects and stores massive amounts of security and observability data but struggles to get value outside of operations and security teams. These datasets can offer enormous value to business operations and enterprise reporting teams if they have access to the data in their toolsets. BizOps needs to optimize batch planning and the enterprise reporting teams need to reconcile how many assets the enterprise owns versus the number it has under support contracts.

Back in late May, we hosted a webinar on the heels of our Series D funding announcement where we also took the wraps off our big product announcement: Cribl Search.

As systems become more complex and distributed, the total amount of machine data put off by those systems continues to skyrocket. While teams may need access to an ever-increasing scope of machine data to gain insights into their increasingly complicated systems, that same need to access an increasingly large amount of data also creates cost concerns. Those concerns can grow into cost emergencies quickly.

The IT Operations space has a ton of recent advancements, and arguably the most elusive Observability unicorn for many organizations has got to be "AIOps," perhaps with "proactive monitoring" coming in as a close second place. You may be thinking.

From production monitoring to security concerns, businesses need to analyze and review their logs on a daily basis to make sure their system is up to par. Here are the reasons why analyzing your log data is so important. If you landed here, chances are you probably know what logs are, but we’ll start off with a short explanation of what it is.

Monitoring and analyzing log files to identify and resolve issues make up log observability. Log analytics is the process of extracting insights from log data. Logs are a valuable source of information for IT operations teams, as they provide insight into what is happening on a system or network. Logs can monitor system performance, troubleshoot problems, and identify security incidents. Logs are a vital part of application performance management.

RabbitMQ is one of the most popular open-source message brokers available. Its ability to be deployed in various configurations and on various platforms makes it a widely used tool; it also supports all major messaging protocols, making it very versatile. Still, debugging issues with a tool like RabbitMQ can be challenging, especially when it’s deployed on a large cluster. RabbitMQ logs are one way to go, as they help you backtrack to an earlier point while debugging.