Analyze your tracing data any way you want with Sumo search query language

It’s been almost a year since I shared some thoughts about distributed tracing adoption strategies on this blog. We have discussed how different approaches between log vendors and application performance management (APM) vendors exist in the market and how important that is to allow users to analyze the data, including custom telemetry, the way they want.

Correlate Your Metrics, Logs & Traces with the curated OSS observability stack from Grafana Labs

Correlation between metrics, logs, and traces should be as effortless as possible. This helps you make better decisions and actions. The Grafana Labs open-source observability stack enables powerful correlations between your metrics, log, and traces. The key here is to have consistent metadata across the three pillars of observability. Let me demo you how this works in this video.

Doubling Down: What It's Like Contributing to Open Source at has always prided itself as a company pushing the use of open source tech. As we have moved to expand our reach with metrics and traces over the past year and a half, we have doubled down on our own contributions to the community. With (distributed) traces in particular, we have been able to forge ahead. Our relationship with the teams at Jaeger and OpenTelemetry have really blossomed (and we are kind of proud to have supported the latter in the run-up to the OpenTelemetry v1.0 release).


OpenTelemetry automatic instrumentation: a deep dive

OpenTelemetry can be an overwhelming project to take in - understanding the interactions between the API, SDK, and various tools and protocols is a lot. One particularly interesting and important part of the project, though, is the "automatic instrumentation" components. What is automatic instrumentation, and why is it important to OpenTelemetry? How can you use it? How does it help? We’ll answer these questions, and more, so read on!


Jaeger Persistent Storage With Elasticsearch, Cassandra & Kafka

Running systems in production involves requirements for high availability, resilience and recovery from failure. When running cloud native applications this becomes even more critical, as the base assumption in such environments is that compute nodes will suffer outages, Kubernetes nodes will go down and microservices instances are likely to fail, yet the service is expected to remain up and running.

Comprehensive Observability via Distributed Tracing on Node js | Node Congress

The benefits of Node.js to develop real-time applications at scale are very well known. As Node.js architectures get more and more complex, visualization of your microservice-based architecture is crucial. However, the visualization of microservices is incredibly complex given the scale and the transactions across them. You not only need to visualize your Node.js applications but also analyze the health, flow, and performance of applications to have a complete observability solution. In this talk, we'll go over the challenges of scaling your Node.js applications and tools (such as distributed tracing) available to you to scale with confidence. Celebrates the Release of OpenTelemetry v.1.0

OpenTelemetry 1.0 (Otel) is finally here (in fact, 1.0.1). The announcement brings the industry closer to a standard for observability. OpenTelemetry v1.0.1 will focus solely on tracing for now, but work continues on integrations for metrics and logs. We are still a long way off from this vision becoming reality. Metrics today are in beta, and this is where the community focus is being applied. Logging is even earlier in its life lifecycle.


Getting Started with Java & OpenTelemetry

It’s easy to get started with Java and Honeycomb using OpenTelemetry. With Honeycomb being a big supporter of the OpenTelemetry initiative, all it takes is a few parameters to get your data in. In this post, I will walk through setting up a demo app with the OpenTelemetry Java agent and show how I was able to get rich details with little work by combining automatic instrumentation from the agent with custom instrumentation in the code.


OpenTelemetry specification: a year in review

2020 was a banner year for OpenTelemetry, by any account. From modest beginnings, the project grew to hundreds of contributors across many languages, all working together to make real the vision of open source observability. The heart of the project, however, is the specification -- a set of design and specification documents intended to describe both the why, and the how, of OpenTelemetry itself.