Operations | Monitoring | ITSM | DevOps | Cloud

Rust’s strong memory safety and efficient code execution make it a top choice for building robust, high-performance systems. But even with its powerful guarantees around memory management and thread safety, Rust applications in production environments can still face challenges such as latency spikes, resource contention, and unexpected bottlenecks. For this reason, monitoring Rust applications is essential to ensure they meet performance expectations and remain reliable under load.

Observability isn’t just a nice-to-have—it’s essential. OpenTelemetry steps in as a unified framework that helps you collect, process, and export telemetry data across distributed systems. The OpenTelemetry Collector Contrib extends this framework, offering extra components that make it even more powerful and flexible, helping developers and operators monitor and optimize systems with ease.

The promise of observing your application without writing code (i.e., auto-instrumentation) is not new, and it’s extremely compelling: run a single command in your cluster and suddenly application telemetry starts arriving at your observability backend. What else could you ask for? The OpenTelemetry Operator aims to fulfill such a dream for Kubernetes environments by using a set of well known patterns such as operators and custom resources.

Jaeger, a renowned distributed tracing system, has been a trusted companion for developers and operations teams seeking to unravel the complexities of microservices architectures. However, as the landscape continues to evolve, the time has come to explore Jaeger alternatives that offer distinct features and advantages.

When it comes to monitoring Golang applications, there are various tools and practices you can use to gain insights into your application's performance, resource usage, and potential issues. By using OpenTelemetry for monitoring in your Go applications, you can gain valuable insights into the behavior, performance, and resource utilization of your distributed systems, allowing you to troubleshoot issues, optimize performance, and improve the overall reliability of your software.

Managing OpenTelemetry (OTel) collectors across diverse, cloud-native environments is key to streamlining monitoring and gathering valuable insights. But, managing them effectively, especially across multiple servers, has been a manual and time-consuming process. That changes today. Sumo Logic’s Otel Remote Management is designed to simplify OpenTelemetry Collector management, all from a single unified user interface.

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 .