Operations | Monitoring | ITSM | DevOps | Cloud

According to one survey, 94% agree that AIOps is “important or very important” to manage network and cloud applications performance. AIOps intends to help customers contextualize humongous data volumes and streamline IT operations with automation. As IT infrastructure grows in complexity, alerts flood IT Ops centers and Ops teams drown in managing the deluge.

In this post, I want to scratch at the surface of a very interesting technology that Elastic’s Universal Profiler and Security solution both use called eBPF and explain why it is a critically important technology for modern observability. I’ll talk a little bit about how it works and how it can be used to create powerful monitoring solutions — and dream up ways eBPF could be used in the future for observability use cases.

According to Orca Security’s 2022 Cloud Security Report, 59% of respondents received over 500 alerts a day, with more than 42% of them being false positive alerts. And 62% of them said it has contributed to employee turnover. With numbers like this, it’s no wonder why developers dread the false positive alert. They waste time, energy, and money for everyone in every technology space, whether it is cloud or web services. It’s time to change that.

There is a common painful workflow with many observability solutions. Each data type is separated into its own user interface, creating a disjointed workflow that increases cognitive load and slows down Mean Time to Diagnose (MTTD). At Coralogix, we aim to give our customers the maximum possible insights for the minimum possible effort. We’ve expanded our APM features (see documentation) to provide deep, contextual insights into applications – but we’ve done something different.

OpenSearch was created by the community for the community to continue to keep an open-source alternative to ElasticSearch and Kibana. The project has been hard at work for the last 1.5 years building, launching and iterating on this important initiative. Some remarkable milestones have been achieved, including over 5,800 stars on GitHub with 19 different community-led projects.

We´re proud of our many customers and users around the globe that trust Icinga for critical IT infrastructure monitoring. That´s why we´re now showcasing some of these enterprises with their Success stories. It´s stories from companies or organizations just like yours, of any size and different kinds of industries. Some of them are our long-standing customers, others have just recently profited from migrating from another solution to Icinga.

Data-driven businesses need the latest monitoring metrics for a multi-dimensional perspective of their servers, networks, applications, and other infrastructure capabilities. Without the latest data, these organizations can't optimize security and performance protocols.

When it comes to visualization tools, there are various options, all designed for different kinds of data. Some of the most recognized among them include Grafana and Tableau. If you’re not sure which one to use, this article should give you a better idea of what kind of purpose each one has and which one will suit your needs best. One great way to find out what tool works best for you is to try it out! Try out Grafana in seconds on MetricFire's Hosted Grafana free trial.

Monitoring distributed systems like MongoDB is very important to ensure optimal performance and constant health. But even the best monitoring tool will not be efficient without fully understanding the metrics it gathers and presents, what they represent, how to interpret them, and what they affect. That’s why it is crucial not only to collect the metrics but also to understand them.