Elastic Observability 8.16 introduces enhancements to LLM observability, OpenTelemetry for Kubernetes via EDOT, and streamlined onboarding processes — simplifying setup and providing deeper insights into traditional and AI-powered apps.

In this blog, we’ll cover how a discovery by one of our engineers led to cost savings of thousands of dollars in our QA environment and magnitudes more once we deployed this change to production.

This blog explains the importance of log management, best practices, and tools for managing logs efficiently. From identifying errors to troubleshooting issues, learn how to leverage log management for enhanced performance and streamlined operations.

In this article, we’ll introduce you to a simple sample application: a UI for movie search, instrumented in different ways using Python, Go, Java, Node, and .NET. Additionally, we will show how to view your OpenTelemetry data in Elastic APM.

In this blog post, we will show you how to manually instrument Go applications using OpenTelemetry. We will explore how to use the proper OpenTelemetry Go packages and, in particular, work on instrumenting tracing in a Go application.

A look at the importance of schemas and runtime fields for data queries and data exploration on the Elastic Platform. By using schema on read and schema on write, you can optimize your telemetry data for both performance and analytics as needed.

Log data and system logs can be a treasure trove of information and insights for SREs and DevOps team with the right tools. Take a dive into the Elastic Platform, a leader in log management and monitoring capabilities, based on the proven ELK stack.

GDPR lists pseudonymization as a technical measure that can be used to protect personal data. We explore an approach for implementing it in the Elastic Stack.