标签:#ha
找到 10881 篇相关文章
New microwave frying method could make French fries much healthier
Ron Gilbert started production on Thimbleweed Park 2
Sam Altman is now talking to the White House about decelerating AI
Instrumenting my espresso machine with OpenTelemetry
Self-Hosting Turns Your Team into the Knowledge Base's Service Provider
Solsticio – a daily sun/moon logic puzzle with a deterministic generator
Show HN: An app that logs your meal's calories from a photo
Replacing the Kobo Libra H2O Battery
Gubernator Weekly Update: CoreDNS Aqueducts, SRE Stack, Network Topology & Cluster Auto-Updates!
Gubernator Weekly Update: CoreDNS Aqueducts, SRE Stack, Network Topology & Cluster Auto-Updates! Gubernator Weekly Update Banner Review Gubernator Weekly Update Banner What an intense week for Gubernator (gbnt)! If you're new here, Gubernator is the "Goldilocks" container orchestrator that bridges the gap between Docker Swarm's simplicity (native Compose support, simple node joining) and Nomad's scheduling flexibility (hardware targeting, labels, task-based management). Over the past 7 days, Gubernator evolved from a single-node engine into a production-ready cluster ecosystem. Here is a breakdown of everything shipped this week! 1. Ingress & Service Discovery ("The Aqueducts") One of our biggest milestones this week was shipping automated internal DNS resolution and edge ingress routing: CoreDNS Integration: Every node running Gubernator can now deploy CoreDNS. Containers across all hosts can resolve internal service IPs using dynamic domain names (.gbnt.test). As containers spin up or die, Gubernator's manager updates CoreDNS records in real-time. Caddy Ingress: Exposing web services is now effortless. Services deployed with routing labels are automatically proxied by Caddy, managing SSL and HTTP/HTTPS ingress dynamically. 2. SRE Observability Suite (gbnt monitor init) Observability shouldn't require writing 500 lines of YAML. With a single command, gbnt monitor init, Gubernator deploys a complete, production-grade observability stack: Prometheus & cAdvisor: Detailed container and host-level metrics collection (CPU, RAM, Network I/O). Loki & Promtail: Centralized log aggregation across all containers. Grafana: Pre-configured dashboards for instant visualization out of the box. Jaeger Tracing: Full OpenTelemetry distributed tracing support (OTLP gRPC :4317 & HTTP :4318). Interactive Network Topology (Weave Scope Integration) Understanding how containers talk to each other across a distributed cluster can be tough. We integrated Weave Scope directly into the Flutter
The Origins of Vintage Comics Part 1
C# Crash Course for Beginners
Hey everyone, I'm excited to share my brand-new C# Crash Course for Beginners on YouTube! 🎉 For those of you who are new here, I'm Amir, a software developer who enjoys learning new technologies and creating programming tutorials that are practical, beginner-friendly, and straight to the point. If you've been thinking about learning C#, this course is the perfect place to start. C# is one of the most popular programming languages in the world and is widely used for desktop applications, web development with ASP.NET, cloud services, game development with Unity, and enterprise software. Combined with the power of the .NET ecosystem, it provides an excellent foundation for building modern applications. In this one-hour crash course, we'll start from the very beginning by setting up the .NET development environment and learning the essential command-line tools. From there, we'll gradually build our understanding of the language through practical demonstrations and live coding examples. Throughout the course, you'll learn: How to install and configure the .NET SDK Using the .NET CLI and .NET Script Variables and data types String interpolation Arithmetic, comparison, and logical operators Conditional statements Loops Methods and functions Arrays and collections Lists, Dictionaries, and HashSets LINQ fundamentals Classes, objects, and Object-Oriented Programming (OOP) Records and modern C# features Pattern Matching You'll also get a preview of a real-world application that we'll build together in a future tutorial series, showing how these concepts come together in an actual project. This course focuses on building a strong understanding of C# fundamentals. Topics such as asynchronous programming with async and await are intentionally left for a dedicated tutorial, where we can explore them properly with practical examples. Whether you're completely new to programming or coming from another language like Java, Python, JavaScript, Go, or Rust, I hope this course helps make
EU now fears US interference in European elections
Claude is down for 2nd consecutive day
1,741 "informed" consents with one click? GDPR complaint filed
US awards GlobalFoundries $300M to bolster silicon photonics for AI chip
The U.S. economy in 2026: What to watch for
"Gravity is worth asking about."
Why the future is local app
Building an AI-Powered Innovation Wormhole: Transferring Solutions Across Industries Instead of Reinventing Them
Innovation is often described as the creation of something entirely new. In reality, many breakthrough ideas are simply successful mechanisms transferred from one domain into another. Nature inspired aerospace engineering. Video game matchmaking algorithms influenced logistics. Immune systems inspired cybersecurity. Financial risk models are now being applied to supply chain resilience. The challenge isn't a lack of ideas. The challenge is discovering where those ideas already exist. The Innovation Gap Organizations spend billions of dollars every year on research and development while unknowingly solving problems that have already been solved somewhere else. Traditional consulting typically searches inside the client's industry. Traditional search engines retrieve documents. Traditional LLMs generate text. None of these systems are explicitly designed to answer a much more valuable question: Which proven mechanism from an entirely different industry can solve my problem? This question became the foundation of what I call the Innovation Wormhole . From Knowledge Retrieval to Mechanism Transfer Instead of retrieving documents, the system retrieves mechanisms . Instead of matching keywords, it matches problem structures . Instead of generating ideas from scratch, it transfers validated solutions between industries. Imagine a manufacturing company struggling with predictive maintenance. Rather than searching only industrial papers, the platform might discover that astronomical signal processing uses nearly identical anomaly detection techniques. The recommendation isn't merely: "Read this paper." It becomes: Why the solution works Which assumptions remain valid Required modifications Technical risks Expected ROI Evidence supporting the transfer This is knowledge transfer rather than information retrieval. The Core Architecture The platform is organized as a pipeline of specialized reasoning modules. 1. Problem Decomposition The customer's problem is transformed into a