Operations | Monitoring | ITSM | DevOps | Cloud

As engineering organizations scale, project visibility becomes a real challenge. Engineering managers lose track of what's actually happening across multiple teams. Executives ask "are we on track?" and get conflicting answers. Status meetings multiply but clarity doesn't improve. The root problem isn't lack of data, modern engineering teams generate tons of project information across JIRA, GitHub, CI/CD pipelines, and project management tools.

Microservices make it tough to understand how applications behave end-to-end. Most teams already rely on an Application Performance Monitoring (APM) tool to track system health. But as requests move across many services, you also need distributed tracing. Jaeger gives you that visibility. The real value comes from connecting the two. Instead of running APM and Jaeger in silos, you can combine their strengths, metrics from your APM, and traces from Jaeger, to get a clearer view of performance.

Do these two frameworks overlap, replace each other, or collaborate? Let’s find out.

In 2025, choosing the right inventory management system is one of the most important decisions for businesses of all sizes. These tools go far beyond simple inventory tracking: they improve workflows, prevent stockouts, and help companies streamline their supply chain. With features like barcode scanning, automation, and real-time inventory visibility, the right software can significantly optimize stock levels and increase overall profitability.

The OpenTelemetry community and the contributors to the Java Special Interest Group (SIG) have spent a great deal of time integrating core Java technologies into the project. An integration that is particularly useful is Java Management Extensions (JMX). It has been around since J2SE 5, and has been mature for some time. Many of the most widely used Java applications have adopted it over time and support this extension.

If you manage Kubernetes at scale with Rancher, you know that UI performance is not just a “nice-to-have”—it’s crucial for productivity. The Rancher team is on a continuous journey to enhance our platform’s ability to handle increasingly complex environments. In this post take a deep dive into an exciting, evolving improvement we’ve been developing: a project codenamed “Vai” (also called UI Server-Side Pagination or SQLite-backed caching).

In this post, we will talk about OpenTelemetry exporters. OpenTelemetry exporters help in exporting the telemetry data collected by OpenTelemetry. OpenTelemetry frees you from any kind of vendor lock-in by letting you export the collected telemetry data to any backend of your choice. In modern distributed systems, efficiently collecting, transmitting, and analyzing telemetry data from diverse sources poses a significant challenge.

Amazon Web Services (AWS) provides more than 200 services. Among those, Amazon Elastic Compute Service (ECS), Elastic Kubernetes Service (EKS), and AWS Fargate help deploy and manage containers. Choosing between these services can be challenging. They seem similar on the surface (and are all popular). But each offers unique benefits and limitations. In this guide, we compare the three services, discussing the best use cases for each, and helping you choose the best fit for your business.