Operations | Monitoring | ITSM | DevOps | Cloud

As the new year rolls in, it’s a great time to reflect and think big. What were some of your notable achievements in 2024, and what are your goals for 2025? We often do this in our personal lives — but why not apply this same line of thinking to observability, as well?

This post was written by Martin Thwaites and Vivian Lobo. The OpenTelemetry Collector is an exceptional solution for proxying and enhancing telemetry, but it’s also great for generating telemetry from machines too. In this post, we’ll go through a basic, opinionated setup of using the OpenTelemetry Collector to extract metrics and logs from a Windows server.

Are you looking for a Dynatrace alternative? Then you have come to the right place. In this article, we will go through the top 9 Dynatrace alternatives. First, let's briefly discuss what Dynatrace offers and why you might consider other solutions.

According to Akamai, 83% of web traffic is through APIs. Microservices, servers, and clients constantly communicate to exchange information. Even the Google search you made to reach this article involved your browser client calling Google APIs. Given APIs govern the internet, businesses rely on them heavily. API health is directly proportional to business prosperity. This article covers everything about API monitoring, so your API infrastructure’s health is always in check .

Cloud tracing provides essential visibility into distributed systems, helping track requests, identify bottlenecks, and improve performance. Learn the best practices and tools for effective monitoring.

Distributed tracing is the functionality to trace requests or messages flowing through different systems or environments like frontend, Backend, middleware. Distributed tracing brings connectivity or visibility of various services using a unique identifier. This identifier is passed to different services to correlate them as a single flow. We track data from different services with distributed tracing, but how do we visualize them? Visualization is a tedious task.

Learn how to integrate OpenTelemetry with Django to monitor performance, trace requests, and improve observability in your applications.

Learn how to integrate OpenTelemetry into your Ruby applications for better observability, performance insights, and debugging.

In modern microservice architectures, requests often span multiple services, making it challenging to monitor and debug performance issues. Distributed tracing provides the ability to follow a request’s journey through these services, identifying performance bottlenecks and dependencies. The W3C trace context standard simplifies this process by introducing two critical headers: traceparent and tracestate.

Implementing distributed tracing with OpenTelemetry helps track requests across services, providing insights into performance and pinpointing issues.