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

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.

Serverless observability: How to monitor Google Cloud Run with OpenTelemetry and Grafana Cloud

OpenTelemetry has emerged as the go-to open source solution for collecting telemetry data, including traces, metrics, and logs. What’s especially unique about the project is its focus on breaking free from the reliance on proprietary code to offer users greater control and flexibility. As a senior solutions engineer here at Grafana Labs, I’ve spent a lot of time exploring OpenTelemetry, including in my spare time.

Spans - a key concept of distributed tracing

Spans are fundamental building blocks of distributed tracing. A single trace in distributed tracing consists of a series of tagged time intervals known as spans. Spans represent a logical unit of work in completing a user request or transaction. Distributed tracing is critical to application performance monitoring in microservice-based architecture. Before we deep dive into spans, let's have a brief overview of distributed tracing.

Complete Handbook of OpenTelemetry Metrics

You have probably heard of OpenTelemetry in the context of traces. But did you know OpenTelemetry also supports metrics with a comprehensive, forward-looking data model and SDKs? When it comes to metrics, one thinks of Prometheus, but Otel metrics provide exciting ideas such as cumulative deltas, exponential histograms, and more! This talk will demystify everything about Otel Metrics, from the data model to APIs to how to get started. We will cover the differences between Otel Metrics and Prometheus and explain the reasons why people get excited about using Otel Metrics.

DataDog vs Jaeger - key features, differences and alternatives

Both DataDog and Jaeger are tools used to monitor application performance. The difference lies in what they monitor and terms of usage. Jaeger is an open-source tool focused on distributed tracing of requests in a microservice architecture. While DataDog is a SaaS APM vendor covering most monitoring needs of an application. Application performance monitoring is the process of keeping your app's health in check. APM tools enable you to be proactive about meeting the demands of your customers.

Latest Top 13 Distributed Tracing Tools [perfect for microservices]

Modern digital organizations have rapidly adopted microservices-based architecture for their applications. Distributed tracing tools help monitor microservices-based applications. Choosing the right distributed tracing tool is critical. How do you know which is the right one for you? In this post, we will cover the top 13 distributed tracing tools in 2024 that can solve your monitoring and observability needs.

Monitoring your Nextjs application using OpenTelemetry

Nextjs is a production-ready React framework for building single-page web applications. It enables you to build fast and user-friendly static websites, as well as web applications using Reactjs. Using OpenTelemetry Nextjs libraries, you can set up end-to-end tracing for your Nextjs applications. Nextjs has its own monitoring feature, but it is only limited to measuring the metrics like core web vitals and real-time analytics of the application.

Choosing an OpenTelemetry backend - Things To Keep In Mind

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) incubating project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. And that’s where an OpenTelemetry backend is needed. Cloud computing and containerization made deploying and scaling applications easier.