klotz: production engineering*

Production Engineering focuses on the design, implementation, and management of systems and processes to ensure the efficient and reliable delivery of software and services in a production environment. It involves various aspects such as deploying, monitoring, and maintaining applications, managing infrastructure, and handling data pipelines. Production Engineering KPIs include Availability and Cost.

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  1. The article discusses the evolution of Infrastructure as Code (IaC), transitioning from imperative to declarative approaches, and now back to a hybrid model. This shift is driven by developer experience and the need for scalable, efficient cloud solutions, with modern tools allowing for imperative-style interfaces while maintaining declarative principles.
  2. AutoNMS sets the standard for network documentation, delivering precise and up-to-date records of your entire computer network, regardless of vendor. With its unparalleled focus on accuracy and compatibility, AutoNMS ensures you always have the documentation you need to understand and manage your network effectively.
  3. 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.
  4. 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.
  5. A comprehensive walkthrough for building a multicluster GitOps platform using popular open source tools in the Kubernetes space, focusing on choosing a cloud provider, selecting a Git provider, establishing a platform domain and DNS provider, defining Infrastructure as Code, selecting a GitOps engine, and defining management pillars.
  6. A Microsoft engineer demonstrates how WebAssembly modules can run alongside containers in Kubernetes environments, offering benefits like reduced size and faster cold start times for certain workloads.
  7. An introduction to using Terraform for Infrastructure as Code (IaC) practices, providing beginners with a guide to start with Terraform.
    2025-01-05 Tags: , , by klotz
  8. Discussion on the challenges and promises of deep learning for outlier detection in various data modalities, including image and tabular data, with a focus on self-supervised learning techniques.
  9. An introduction to Ntfy, a self-hosted push notification server. Learn how to set it up using Docker, configure authentication, and start sending and receiving notifications.
  10. The article discusses the future of observability in 2025, highlighting the significant role of OpenTelemetry and AI in improving observability and reducing costs.

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