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

Two Quick Ways to Create Spans with Kamon Telemetry

If you already had some experience with Kamon, you probably saw Kamon create Spans automatically for a lot of stuff, including HTTP server requests, database calls, actor messages, and more. But what happens when you want to create Spans for methods or code blocks that Kamon doesn’t instrument automatically? Let’s look at the two simplest ways to create Spans programmatically with Kamon.

Error logging, tracing, and improving developer workflow with Jeffrey T. Fritz

Today Nico joined Jeffrey T. Fritz on the Fritz and Friends live coding stream and we talked about how Rollbar can be added to your applications to provide better logging, error tracking, and reporting. We walked through the story of Rollbar and added the logging solution to the KlipTok service that manages interactions with internet bots for the various social networks and search engines. See why 100,000+ developers trust Rollbar to analyze, diagnose & fix errors in record time.

Use Logz.io to Instrument Kubernetes with OpenTelemetry & Helm

Logz.io is always looking to improve the user experience when it comes to Kubernetes and monitoring your K8s architecture. We’ve taken another step with that, adding OpenTelemetry instrumentation with Helm charts. We have made Helm charts available before, previously with editions suitable for Metricbeat and for Prometheus operators.

Is Distributed Tracing Really a Big Deal ?

Microservice architectures are everywhere these days. Even internal enterprise applications—which have typically been structured as self-contained monoliths—are now being designed using a microservices architecture. There are definite advantages to a microservices architecture. Breaking an application into discrete, independent chunks—basically mini apps—gives you enormous flexibility. But this flexibility dramatically increases complexity, especially when things go wrong.

Distributed Tracing vs. Application Monitoring

Application monitoring is a well-established discipline that dates back decades and remains a pillar of software management strategies today. However, as software environments and architectures have evolved, monitoring techniques have needed to evolve along with them. That’s why many teams today rely on distributed tracing to glean insights that they can’t gather from application monitoring alone.

Adding free and open Elastic APM as part of your Elastic Observability deployment

In a recent post we showed you how to get started with the free and open tier of Elastic Observability. Today we'll walk through what you need to do to expand your deployment so you can start gathering metrics from application performance monitoring (APM), or "tracing" data in your observability cluster, for free.

From Distributed Tracing to APM: Taking OpenTelemetry & Jaeger Up a Level

It’s no secret that Jaeger and OpenTelemetry are known and loved by the open source community — and for good reason. As part of the Cloud Native Computing Foundation (CNCF), they offer one the most popular open source distributed tracing solutions out there as well as standardization for all telemetry data types.

Get started with distributed tracing and Grafana Tempo using foobar, a demo written in Python

Daniel is a Site Reliability Engineer at k6.io. He’s especially interested in observability, distributed systems, and open source. During his free time, he helps maintain Grafana Tempo, an easy-to-use, high-scale distributed tracing backend. Distributed tracing is a way to track the path of requests through the application. It’s especially useful when you’re working on a microservice architecture.