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Tracing

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

CI/CD observability: A rich, new opportunity for OpenTelemetry

Continuous integration and continuous deployment (CI/CD) are the backbone of modern software delivery, but there’s still limited visibility into their processes. Here’s how that’s changing with OpenTelemetry (OTel), and why those changes are so exciting.

Integrating Distributed Tracing in Node.js Application

This architecture allows Node.js to handle thousands of concurrent connections with low overhead, making it highly efficient for building high-performance web servers and microservices. With many such systems adopting microservices and going for a distributed architecture, the necessity to monitor them has also increased. It is difficult to monitor every transaction and how it interacts with other services, so a distributed tracing system deserves a lot of attention here.

Understanding Traces and Spans: Span Filtering With ObserveNow and Grafana 10.4

ObserveNow, the leading open source-based observability stack, has recently enhanced its capabilities with the introduction of Span Filtering – a key feature in its latest upgrade to Grafana 10.4. This advancement significantly improves the platform’s ability to dissect and analyze traces, which are crucial for understanding the behavior and performance of distributed systems.

Free the data: Why US federal agencies should standardize on OpenTelemetry

In today's digital age, data is the lifeblood of modern organizations — and the US government is no exception. As agencies grapple with the ever-increasing volume and complexity of data, it is imperative to adopt a standardized approach to monitoring, analyzing, and understanding the behavior of complex IT systems. This is where OpenTelemetry, an open-source observability framework, comes into play.

Unify your OpenTelemetry and Datadog experience with the embedded OTel Collector in the Agent

OpenTelemetry (OTel) is an open source, vendor-neutral observability solution that consists of a suite of components—including APIs, SDKs, and the OTel Collector—that allow teams to monitor their applications and services in a standardized format. OTel defines this data via the OpenTelemetry Protocol (OTLP), a standard for the encoding and transfer of telemetry data that organizations can use to collect, process, and export telemetry and route it to observability backends, such as Datadog.

OpenTelemetry Best Practices #3: Data Prep and Cleansing

Having telemetry is all well and good—amazing, in fact. It’s easy to do: add some OpenTelemetry auto-instrumentation libraries to your stack and they’ll fill your disks with data pretty quickly. However, having good telemetry data—data that’s curated into being useful—is something that is both cost-effective and represents good value.

Shorten your feedback loop: Java observability with OpenTelemetry, Grafana Cloud, and Digma.ai

Ron Dover is CTO and co-founder of Digma.ai, an IDE plugin for code runtime AI analysis to help accelerate development in complex code bases. Ron is a big believer in evidence-based development and a proponent of continuous feedback in all aspects of software engineering. Traditionally, software developers have relied on simple logs to understand code execution and troubleshoot issues.

Mastering Telemetry Pipelines: Driving Compliance and Data Optimization

I had the opportunity to present with Michael Fratto, Senior Research Analyst at S&P Global Market Intelligence, at a virtual event hosted by Redmond. We discussed how telemetry pipelines are critical in controlling telemetry data (logs, metrics, events, and traces). Mike shared excellent insights from his recent research survey that discussed the proliferation of observability tools in enterprises and the challenges organizations face in managing those tools. ‍