Analyzing OpenTelemetry apps with Elastic AI Assistant and APM
Elastic Observability provides native OpenTelemetry support, but analyzing applications logs, metrics, and traces can be daunting. Elastic Observability not only provides AIOps features but also an AI Assistant (co-pilot) to help get to MTTR faster.
Adding free and open Elastic APM as part of your Elastic Observability deployment
Learn how to gather application trace data and store it alongside the logs and metrics from your applications and infrastructure with Elastic Observability and Elastic APM.
Build better Service Level Objectives (SLOs) from logs and metrics
To help manage operations and business metrics, Elastic Observability's SLO (Service Level Objectives) feature was introduced in 8.12. This blog reviews this feature and how you can use it with Elastic's AI Assistant to meet SLOs.
Elastic APM for iOS and Android Native apps
This blog provides an overview of the key capabilities included in the Elastic APM solution for iOS and Android native apps, as well as a walkthrough of the configuration details and troubleshooting workflow for a few error scenarios.
Enhancing SRE troubleshooting with the AI Assistant for Observability and your organization's runbooks
Empower your SRE team with this guide to enriching Elastic's AI Assistant Knowledge Base with your organization's internal observability information for enhanced alert remediation and incident management.
Optimizing Observability with ES|QL: Streamlining SRE operations and issue resolution for Kubernetes and OTel
ES|QL enhances operational efficiency, data analysis, and issue resolution for SREs. This blog covers the advantages of ES|QL in Elastic Observability and how it can apply to managing issues instrumented with OpenTelemetry and running on Kubernetes.
Elastic's contribution: Invokedynamic in the OpenTelemetry Java agent
The instrumentation approach in OpenTelemetry's Java Agent comes with some limitations with respect to maintenance and testability. Elastic contributes an invokedynamic-based instrumentation approach that helps overcoming these limitations.
Native OpenTelemetry support in Elastic Observability
Elastic offers native support for OpenTelemetry by allowing for direct ingest of OpenTelemetry traces, metrics, and logs without conversion, and applying any Elastic feature against OTel data without degradation in capabilities.
Best practices for instrumenting OpenTelemetry
Instrumenting OpenTelemetry is complex. Even using auto-instrumentation requires understanding details about your application and OpenTelemetry configuration options. We’ll cover the best practices for instrumenting applications for OpenTelemetry.
Manual instrumentation of Go applications with OpenTelemetry
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.
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Getting started with OpenTelemetry instrumentation with a sample application
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.
Auto-instrumentation of .NET applications with OpenTelemetry
OpenTelemetry provides an observability framework for cloud-native software, allowing us to trace, monitor, and debug applications seamlessly. In this post, we'll explore how to automatically instrument a .NET application using OpenTelemetry.