Operations | Monitoring | ITSM | DevOps | Cloud

Jaeger’s HotROD demo has been around for a few years. It was written with OpenTracing-based instrumentation, including a couple of OSS libraries for HTTP and gRPC middleware, and used Jaeger’s native SDK for Go, jaeger-client-go. The latter was deprecated in 2022, so we had a choice to either convert all of the HotROD app’s instrumentation to OpenTelemetry, or try the OpenTracing-bridge, which is a required part of every OpenTelemetry API / SDK.

You don’t often see real change, but when you do see it you know it. Artificial Intelligence/Machine Learning toolsets like ChatGPT are finally starting to offer broad capabilities that will benefit a mass audience. These tools are moving out of the domain of data scientists and math nerds and into mass markets with a little bit for everyone. The potential reach is awesome and a little scary.

Traffic telemetry is the data collected from network devices and used for analysis. With traffic telemetry, engineers can gain real-time visibility into traffic patterns, correlate events, and make predictions of future traffic patterns. As a critical input to a network observability platform, this data can help monitor and optimize network performance, troubleshoot issues, and detect security threats. However, traffic telemetry can be difficult to understand.

If you’re an Icinga user, you already know the importance of having a streamlined and efficient configuration management process. With the release of Icinga Director Branches v1.3, this process just got even better! In this latest version, Icinga Director introduces several enhancements to its branching system, making it even easier to manage and deploy your Icinga 2 configurations.

When it comes to your SQL Server, performance degradation is a costly, time-consuming issue. There may be any number of reasons why your SQL Server performance may be diminishing, but one of the biggest culprits tends to be memory usage.

Docker logs play a critical role in the management and maintenance of containerized applications. They provide valuable information about the performance and behavior of containers, allowing developers and administrators to troubleshoot issues, monitor resource usage, and optimize application performance. By capturing and analyzing log data, organizations can improve the reliability, security, and efficiency of their containerized environments.

A couple months ago, we launched Profiling in alpha for users on Python and Node.js SDKs — today, we’re moving Profiling for Python and Node.js to beta. Profiling is free to use while in beta — more updates to come when we near GA. Profiling is a critical tool for helping catch performance bottlenecks in your code. Sentry’s profiler gets you down to the exact file/line number in your code that is causing a slow-running query.

With one key practice, it’s possible to help your engineers sleep more, reduce friction between engineering and management, and simplify your monitoring to save money. No, really. We’re here to make the case that setting service level objectives (SLOs) is the game changer your team has been looking for.