Elastic Observability Labs
31 May 2024
Better RCAs with multi-agent AI Architecture
Discover how specialized LLM agents collaborate to tackle complex tasks with unparalleled efficiency
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Elastic Universal Profiling: Delivering performance improvements and reduced costs
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.
Revealing unknowns in your tracing data with inferred spans in OpenTelemetry
Distributed tracing is essential in understanding complex systems, but it can miss latency issue details. By combining profiling techniques with distributed tracing, Elastic provides the inferred spans feature as an extension for the OTel Java SDK.
Migrating from Elastic’s Go APM agent to OpenTelemetry Go SDK
As OpenTelemetry is fast becoming an industry standard, Elastic is fast adopting it as well. In this post, we show you a safe and easy way to migrate your Go application from our APM agent to OpenTelemetry.
The Elastic AI Assistant for Observability escapes Kibana!
Harness the Elastic AI Assistant API to seamlessly blend Elastic's Observability capabilities into your daily workflow, from Slack to the command line, boosting efficiency and decision-making. Work smarter, not harder.
Getting started with the Elastic AI Assistant for Observability and Microsoft Azure OpenAI
Follow this step-by-step process to get started with the Elastic AI Assistant for Observability and Microsoft Azure OpenAI.
Introducing Elastic's OpenTelemetry SDK for .NET
Today, we are excited to announce the alpha release of our new Elastic distribution of the OpenTelemetry SDK for .NET. In this post, we cover a few likely questions you may have about this new distribution and explain how to get started.
Beyond the trace: Pinpointing performance culprits with continuous profiling and distributed tracing correlation
Frustrated by slow traces but unsure where the code bottleneck lies? Elastic Universal Profiling correlates profiling stacktraces with OpenTelemetry (OTel) traces, helping you identify and pinpoint the exact lines of code causing performance issues.
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.
OpenTelemetry and Elastic: Working together to establish continuous profiling for the community
OpenTelemetry is embracing profiling. Elastic is donating its whole-system continuous profiling agent to OpenTelemetry to further this advancement, empowering OTel users to improve computational efficiency and reduce their carbon footprint.
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.