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Tracing

The latest News and Information on Distributed Tracing and related technologies.

Profiling Vs Tracing in OpenTelemetry

When OpenTelemetry first came into the picture with the merger of OpenCensus and OpenTracing in 2019, it was pretty much all about classic telemetry data, namely- logs, metrics, and traces. Since then, OpenTelemetry has become an indispensable tool in the modern observability landscape. With frequent integrations and introduction to new capabilities every year or so, it has poised itself as an invaluable tool for cloud enterprises.

Jaeger vs Tempo - key features, differences, and alternatives

Both Grafana Tempo and Jaeger are tools aimed at distributed tracing for microservice architecture. Jaeger was released as an open-source project by Uber in 2015, while Tempo is a newer product announced in October 2020. Jaeger is a popular open-source tool that graduated as a project from Cloud Native Computing Foundation. Grafana Tempo is a high-volume distributed tracing tool deeply integrated with other open-source tools like Prometheus and Loki.

Introducing Relational Fields

We’re excited to bring you relational fields, a new feature that allows you to query spans based on their relationship to each other within a trace. Previously, queries considered spans in isolation: You could ask about field values on spans and aggregate them based on matching criteria, but you couldn’t use any qualifying relationships about where and how the spans appear in a trace.

Revealing unknowns in your tracing data with inferred spans in OpenTelemetry

In the complex world of microservices and distributed systems, achieving transparency and understanding the intricacies and inefficiencies of service interactions and request flows has become a paramount challenge. Distributed tracing is essential in understanding distributed systems. But distributed tracing, whether manually applied or auto-instrumented, is usually rather coarse-grained.

A guide to scaling OpenTelemetry Collectors across multiple hosts via Ansible

OpenTelemetry has emerged as a key open source tool in the observability space. And as organizations use it to manage more of their telemetry data, they also need to understand how to make it work across their various environments. This guide is focused on scaling the OpenTelemetry Collector deployment across various Linux hosts to function as both gateways and agents within your observability architecture.

Migrating from Elastic's Go APM agent to OpenTelemetry Go SDK

As we’ve already shared, Elastic is committed to helping OpenTelemetry (OTel) succeed, which means, in some cases, building distributions of language SDKs. Elastic is strategically standardizing on OTel for observability and security data collection. Additionally, Elastic is committed to working with the OTel community to become the best data collection infrastructure for the observability ecosystem.

Real User Monitoring With a Splash of OpenTelemetry

You're probably familiar with the concept of real user monitoring (RUM) and how it's used to monitor websites or mobile applications. If not, here's the short version: RUM requires telemetry data, which is generated by an SDK that you import into your web or mobile application. These SDKs then hook into the JS runtime, the browser itself, or various system APIs in order to measure performance.

Mastering OpenTelemetry - Part 1

In the complex world of modern distributed systems, observability is vital. Observability allows engineers to understand what's happening within their systems, debug issues rapidly, and proactively ensure optimal application performance. OpenTelemetry has emerged as a powerful, vendor-neutral solution to address the challenges of observability across different technologies and environments.

A guide to scaling Grafana Alloy deployments across multiple hosts

Last week we introduced Grafana Alloy, our distribution of the OpenTelemetry Collector with built-in Prometheus pipelines and support for metrics, logs, traces, and profiles. We’re excited to see the community embrace Alloy, and we want to help them use and scale it as easily as possible. Many developers that need to deploy and manage software across several hosts turn to Ansible for its ease of use and versatility.