Tags: observability*

Observability refers to the ability to understand the internal state of a system by observing its output. It involves monitoring, logging, and tracing various other forms of data collection to gain insights into the system's behavior, performance, and health. In the context of cloud engineering, observability is crucial for maintaining the efficiency and reliability of distributed systems, as it helps identify and diagnose issues, optimize performance, and ensure security. Observability tools, such as Splunk, Honeycomb, and OpenTelemetry, are used to collect and analyze metrics, logs, and traces, enabling capacity planning, root cause analysis and incident response.

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  1. Cloudflare discusses how they handle massive data pipelines, including techniques like downsampling, max-min fairness, and the Horvitz-Thompson estimator to ensure accurate analytics despite data loss and high throughput.
  2. SHREC is a physics-based unsupervised learning framework that reconstructs unobserved causal drivers from complex time series data. This new approach addresses the limitations of contemporary techniques, such as noise susceptibility and high computational cost, by using recurrence structures and topological embeddings. The successful application of SHREC on diverse datasets highlights its wide applicability and reliability in fields like biology, physics, and engineering, improving the accuracy of causal driver reconstruction.
  3. The article discusses the future of observability in 2025, highlighting the significant role of OpenTelemetry and AI in improving observability and reducing costs.
  4. Version 3.0 of the popular open-source monitoring system Prometheus has been released, with enhancements focused on a new user interface, OpenTelemetry support, and other new features aimed at improving user experience and streamlining workflows.
  5. A reflection on the key achievements, contributions, and community efforts of 2024 for OpenTelemetry, including multilingual documentation and IA improvements.
  6. AWS announces S3 Tables, a new bucket type for data analytics using Apache Iceberg format, and S3 Metadata for fast query of data, at the Re:Invent conference.
  7. 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.
  8. 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.
  9. 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.
  10. Use Callbacks to send Output Data to Posthog, Sentry, etc. LiteLLM provides input_callbacks, success_callbacks, and failure_callbacks to easily send data based on response status.

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