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Tracing

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

How to use OpenTelemetry resource attributes and Grafana Cloud Application Observability to accelerate root cause analysis

Let’s imagine a scenario: you use OpenTelemetry, and your observability backend runs on several hosts. You collect data on application latency, and notice a recent increase that you want to investigate. But how will you know which host caused the degradation? This is exactly where OpenTelmetry resources come in. In the context of OpenTelemetry, a resource represents the entity producing the telemetry data, such as a container, host, process, service, or operating system.

Mobile app observability with OpenTelemetry, Embrace, and Grafana Cloud

We are excited to announce an expansion of our partnership with Embrace to bring mobile observability to our users using open standards like OpenTelemetry. We first worked with Embrace last year when they created a plugin for Grafana that gives mobile teams an easy way to visualize and analyze real-time mobile metrics directly in a Grafana dashboard.

Open Telemetry 101 - A Primer

OpenTelemetry is an open-source observability framework designed to capture distributed traces and metrics from applications and services. It provides a standardized way to collect, process, and export telemetry data to various backends like tracing systems, monitoring platforms, and logging tools. OpenTelemetry, currently an incubating project at the Cloud Native Computing Foundation, is the merger of two popular observability projects: OpenTracing and OpenCensus.

OpenTelemetry Metrics: Concepts, Types & Instruments

OpenTelemetry (OTel) Metrics are part of the OpenTelemetry project, which provides tools, APIs, and SDKs for telemetry data collection. These metrics capture system performance data like request latency, error rates, resource usage, and throughput. OTel aims to standardize observability across languages and platforms, making it easier to use and integrate telemetry data. Metrics are one of three core signals of OpenTelemetry along with logs and traces.

Deep dive into observability of Messaging Queues with OpenTelemetry

Working in the observability and monitoring space for the last few years, we have had multiple users complain about the lack of detailed monitoring for messaging queues and Kafka in particular. Especially with the coming of instrumentation standards like OpenTelemetry, we thought there must a better way to solve this. We dived deeper into the problem and were trying to understand what better can be done here to make understanding and remediating issues in messaging systems much easier.

Crossed 17,000+ Github stars, unlimited dashboards & alerts, improved user experience - SigNal 37

Welcome to SigNal 37, the 37th edition of our monthly product newsletter! We crossed 17,000+ Github stars for our open source project. We’ve enhanced our Dashboards UX and incorporated feedback from users in different areas of our product. Let’s see what humans of SigNoz were up to in the month of May 2024.

Telemetry Data Compliance Module

Telemetry data sent from applications often contains Personally Identifying Information (PII) like names, user IDs, phone numbers, and other information that must be obfuscated before the data is sent to storage or observability tools, in order to be in compliance with corporate or government policies such as HIPAA in the US or the GDPR in the EU.

My 3 Lessons About OpenTelemetry for Observability

As a fan of OpenTelemetry, I love to see Cribl meeting customers where they are and helping them get to where they want to be with a vendor-agnostic approach. Where it is not possible or practical to re-instrument a telemetry source, whether an application or infrastructure, the barrier to adopting OpenTelemetry Signals can be daunting.

How to Monitor Host Metrics with OpenTelemetry

Today's environments often present the challenge of collecting data from various sources, such as multi-cloud, hybrid on-premises/cloud, or both. Each cloud provider has its own tools that send data to their respective telemetry platforms. OpenTelemetry can monitor cloud VMs, on-premises VMs, and bare metal systems and send all data to a unified monitoring platform. This applies across multiple operating systems and vendors.