Operations | Monitoring | ITSM | DevOps | Cloud


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

Launch Week, Upgrades to Metrics & Query Builder & Access Token Management - SigNal 34

Welcome to the 34th edition of our monthly product newsletter - SigNal 34! Last month was full of action. We did our first launch week, and we were thrilled to see the response. We have shipped some amazing features recently. Let’s see what humans of SigNoz were up to in the month of February 2024.

Grafana Tempo 2.4 release: TraceQL metrics, tiered caching, and TCO improvements

Grafana Tempo 2.4 is here and comes with a stack of new features and enhancements to help improve performance and operational capabilities. Check out the video above, which highlights the new experimental TraceQL metrics feature that creates metrics from traces, and continue reading to get a quick overview of all the latest updates in Tempo. If you’re looking for something more in-depth, don’t hesitate to jump into the Grafana Tempo 2.4 release notes or the changelog.

New TraceQL metrics feature in Grafana Tempo 2.4

In this video, you'll see a deep dive demo into the experimental TraceQL metrics feature in Grafana Tempo 2.4. We'll show you how to use TraceQL metrics to do both root cause and impact analysis as well as other use cases, such as determining how many database queries are downstream of your application. ☁️ Grafana Cloud is the easiest way to get started with metrics, logs, traces, dashboards, and more. We have a generous forever-free tier and plans for every use case.

Understanding How OpenTelemetry can help with PCI Compliance

The early days of e-commerce on the internet resembled a digital Wild West, characterized by unencrypted form inputs and clear-text storage of sensitive information. Fast forward to today, and the landscape of online payments has transformed dramatically, bolstered by industry-driven guide rails like the Payment Card Industry Data Security Standard (PCI DSS). These standards ensure that consumer details are stored appropriately and handled with the utmost care and security.

Much Ado About OpenTelemetry

There is so much good work that OpenTelemetry has done in the software industry, specifically around the domain of observability, in the last five years. Bringing users and vendors together to define the future of telemetry? Check! Unify logs, traces, and metrics under a completely vendor-neutral API? Check! Deprecate other standards by bringing their collaborators to the table to ensure their use cases are met? CHECK!

OpenTelemetry in Production: A Primer

At observIQ, we’re big believers and contributors to the OpenTelemetry project. In 2023, we saw project awareness reach an all-time high as we attended tradeshows like KubeCon and Monitorama. The project’s benefits of flexibility, performance, and vendor agnosticism have been making their rounds; we’ve seen a groundswell of customer interest.

Comparing OpenTelemetry and Jaeger | Key Features

Jaeger and OpenTelemetry are essential technologies that greatly improve the observability of software applications. OpenTelemetry is a vendor-neutral platform that makes it easier to create and collect telemetry data, including logs, traces, and metrics. Its extensive backend integration adaptabilities allow it to fit into a wide range of infrastructures. However, Jaeger is an expert in distributed tracing within microservice environments.

What is the OpenTelemetry Transform Language (OTTL)?

The OpenTelemetry Transformation Language, or OTTL for short, offers a powerful way to manipulate telemetry data within the OpenTelemetry Collector. It can be leveraged in conjunction with OpenTelemetry processors (such as filter, routing, and transform), core components of the OpenTelemetry Collector. It caters to a range of tasks from simple alterations to complex changes.

How to instrument your Python application using OpenTelemetry

If you want to see if OpenTelemetry helps you become a better Python developer — or if you just want to know how to add OpenTelemetry to your Python service — you’ve come to the right place. In this blog, we’ll show you how to instrument your Python application using OpenTelemetry and how to visualize your OpenTelemetry data using Application Observability in Grafana Cloud. We’ll walk you through the following steps.

OpenTelemetry: 3 questions to ask before choosing an observability solution

As OpenTelemetry rises in popularity, more organizations are implementing, or planning to implement, the open source project to monitor their applications — and, meanwhile, more vendors are offering OpenTelemetry support. In fact, a quick Google search for “OpenTelemetry support” shows results ranging from legacy APM vendors to newer, cloud native solutions like Grafana Cloud.