Operations | Monitoring | ITSM | DevOps | Cloud

PU, memory use, latency, network bandwidth. These are just some of the monitoring metrics businesses analyze for security and performance. But successful data-driven organizations delve deeper than this. These companies probe millions of real-time metrics for unexpected insights and predict outcomes weeks, months, and years into the future. ELK helps them do this. It's a data analytics platform from open-source developer Elastic.

An observability pipeline is a tool or process that centralizes data ingestion, transformation, correlation, and routing across a business. Production engineers across ITOps, Development, and Security teams use them to more efficiently and cost-effectively transform their telemetry data to drive critical decisions. Businesses of all sizes can enjoy several benefits and gain a significant competitive advantage by implementing an observability pipeline.

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.

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.

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.

Using Sumo Logic, you can analyze both metrics and logs simultaneously. Developed in 2010, this solution provides a powerful query language and scheduling support. Sumo Logic's production monitoring features provide visibility into production issues. Instead of manually writing alerts, the platform offers pre-configured alert templates (which Logit.io also offers), which makes setting up alerts easier and faster.