Jaeger, a leading open-source distributed tracing platform, releases its version 2, which aligns with the OpenTelemetry framework, bringing improved performance, streamlined architecture, and native support for OTLP. The update includes advanced sampling techniques, expanded ecosystem access, and a more flexible storage implementation.
Observe, Inc. launched Kubernetes Explorer, a new observability experience designed to simplify visualizing and troubleshooting in Kubernetes environments, providing DevOps teams and engineers with a comprehensive view of K8s health and performance.
Ollogger is a powerful, flexible logging application that helps users create custom AI-powered logging assistants. Built with React, TypeScript, and modern web technologies.
Jaeger, a popular open-source distributed tracing platform, has released version 2, which aligns its architecture with the OpenTelemetry Collector. This new version brings significant improvements, including native OpenTelemetry support, batched data processing, and access to OpenTelemetry features and ecosystem.
This article discusses how traditional machine learning methods, particularly outlier detection, can be used to improve the precision and efficiency of Retrieval-Augmented Generation (RAG) systems by filtering out irrelevant queries before document retrieval.
Explore how LocalStack serves as a drop-in replacement for AWS, allowing developers to test and develop AWS services locally.
klogg is an open-source multi-platform GUI application for searching through text log files using regular expressions. It offers various features like handling large files, fast searching, and color-coded results.
The Cloud Native Computing Foundation (CNCF) announces the expansion of OpenTelemetry into CI/CD observability, enabling standardized and vendor-agnostic monitoring of CI/CD pipelines.
Cloudflare, an internet infrastructure and security company, has upgraded its logging pipeline by migrating from syslog-ng to OpenTelemetry Collector. This change affects one of Cloudflare's largest data pipelines, processing millions of log events per second.
**Key Points**
* **Motivations:** Language compatibility, easier integration, enhanced metrics, and unified telemetry infrastructure.
* **Custom Components:** Custom exporter, modified file exporter, processors, and rate-limiters.
* **Migration and Future Plans:** Careful rollout, monitoring, and plans for more sophisticated log sampling techniques and open-source contributions.
* **Other Adopters:** Google, Splunk, Shopify, and GitHub are also adopting OpenTelemetry for various use cases.
A deep dive into time series analysis and forecasting methods, providing foundational knowledge and exploring various techniques used for understanding past data and predicting future outcomes.