While OpenTelemetry (OTel) supports a wide variety of data sources and is constantly evolving to add more, there are still many data sources for which no receiver exists. Thankfully, OTel contains receivers that accept raw data over a TCP or UDP connection. This blog unveils how to leverage Linux Command Line Interface (CLI) tools, creating efficient data pipelines for ingestion through OTel's TCP receiver.

Earlier, applications were mostly monolithic, meaning that several programs were written in the same language and placed in the same web stack. However, it is no longer the case today. Today, every software is comprised of several small application programs coming together each providing a service of its own. These applications are what we call microservices.

Welcome to the 35th edition of our monthly product newsletter - SigNal 35! We have made significant advancements in enhancing our product. The integration feature we shipped will enable quick-start monitoring for popular technologies in SigNoz. Let’s see what humans of SigNoz were up to in the month of March 2024.

Core Web Vitals (CWV) are Google's preferred metrics for measuring the quality of the user experience for browser web apps. Currently, Core Web Vitals measure loading performance, interactivity, and visual stability. These are the main indicators of what a user’s experience will be while using a web page: Note: As of March 12th, INP has become a stable Core Web Vital, replacing First Input Delay (FID).

Adopting OpenTelemetry native standards for instrumenting and observing applications If you develop applications, you may have heard about OpenTelemetry. At Elastic®, we are enthusiastic about OpenTelemetry as the future of standardized application instrumentation and observability.

Goutham Veeramachaneni, a product manager at Grafana Labs, and Carrie Edwards, a senior software engineer at Grafana Labs, are both contributors to the Prometheus open source project. This post, which they wrote together, was originally published on the Prometheus.io blog in March 2024. The OpenTelemetry project is an observability framework and toolkit designed to create and manage telemetry data such as traces, metrics, and logs.

With applications becoming increasingly distributed and complex, gaining insights into their behavior and performance is essential for maintaining reliability and delivering exceptional user experiences. OpenTelemetry has emerged as a powerful framework for instrumenting applications to collect, process, and export telemetry data.

Observability goes beyond monitoring; it's about truly understanding your system. To achieve this comprehensive view, practitioners need a unified observability solution that natively combines insights from metrics, logs, traces, and crucially, continuous profiling. While metrics, logs, and traces offer valuable insights, they can't answer the all-important "why." Continuous profiling signals act as a magnifying glass, providing granular code visibility into the system's hidden complexities.

Your log records may be missing a key ingredient that unlocks the world of observability for your applications, infrastructure and services. If you're building a new application or enhancing an existing one, consider adopting the OpenTelemetry Logs Data Model's Log and Event Record Definition. Adopting this definition enriches your logs by adding additional data, making it easier to use them to correlate them with metrics and traces, in addition to XYZ.

NestJS is a popular and powerful open-source framework for building scalable and maintainable server-side applications with Node.js. It was developed by Kamil Myśliwiec and first released in 2017. NestJS is inspired by Angular, which brings familiarity and a structured approach to building back-end applications.