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Articles by Using OpenTelemetry.Resources
Enhancing Observability in the AWS SDK for .NET with OpenTelemetry | Amazon Web Services
AWS Developer Tools Blog Starting with version 3.7.400, the AWS SDK for .NET added significant observability enhancements. It introduced powerful tracing and metrics capabilities with OpenTelemetry support, an industry-standard for observability. With these enhancements, developers can now gain deeper insights into their applications’ behavior, from tracking API call durations to monitoring system metrics.
NET 8 and Microservices: New Tools and Techniques to Integrate
Hey team! ๐ If you've been in the development world for a while, you've likely seen the increasing adoption of microservices architectures. They offer flexibility, scalability, and a more efficient way to build complex applications. Now, with NET 8 on the scene, there are some new tools and techniques that make working with microservices even better. Let's dive into what's new and how you can take advantage of these updates in your next project! 1.
How to Build a Logs Pipeline in .NET with OpenTelemetry
OpenTelemetry is an open-source observability framework that enables developers to collect, process, and export telemetry data from their applications, systems, and infrastructure. It provides a unified API and SDKs in multiple programming languages for capturing telemetry data such as traces, metrics, and logs from telemetry sources such as applications and platforms.
OpenTelemetry Logs, OpenTelemetry Go, and the Road Ahead
We’ve got a lot of OpenTelemetry-flavored honey to send your way, ranging from OpenTelemetry SDK distribution updates to protocol support. We now support OpenTelemetry logs, released a new SDK distribution for OpenTelemetry Go, and have some updates around OpenTelemetry + Honeycomb to share.
OpenTelemetry in Action: Optimizing Database Operations
Many software developers can attest that some of the most significant issues in their applications arise from database performance. Though many developers prefer to use a relational database for enterprise applications, typical logging and monitoring solutions provide limited signals to detect database performance issues. Rooting out common bad practices such as chatty interactions between the application code and the database is non-trivial.
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