novatechflow

Apache Wayang is a dataflow and distributed computing framework designed for cross-platform data processing, enabling applications to be decoupled from underlying platforms. This allows for platform-agnostic application development. Wayang's cross-platform optimizer determines the most efficient execution plan across various platforms, such as Apache Flink and Apache Spark. The primary performance challenges in cross-platform execution within Wayang include heterogeneous hardware, network latency and bandwidth, data locality, resource management, vendor-specific optimizations, and abstraction overhead. This report analyzes the performance implications of cross-platform execution in Wayang, focusing on optimization strategies for major cloud providers like AWS, Azure, and GCP, as of June 09, 2025. The key benefit of Wayang is its ability to optimize execution plans across multiple platforms, potentially leading to significant performance gains compared to single-platform execution....

Claude 4 is out and I couldn't resist to push it for judging and critically review our new developed open benchmark for Deep Search Multi-Hop systems . Here's the outcome, uncut: Based on my analysis of the SynthLink GitHub repository and research on Google Natural Questions and FRAMES, here's a comprehensive comparison of these three datasets: SynthLink SynthLink is a collection of complex, multi-hop questions designed for testing deep search / deep research systems, split into categories like Historical Impact Analysis, Economic and Industrial Shifts, Environmental and Ecological Consequences, Scientific and Technological Evolution, Policy and Social Movements, and STEM and Future Tech. Key Features: Uses a scoring system that measures answer accuracy, source relevance, reasoning quality, fact-checking, and search efficiency Five evaluation metrics: F1 Score (answer accuracy), Precision@5 (source relevance), Reasoning Quality Score (RQS), Fact-Checking Score (FCS), and It...

 It's wild that even with all the cool tech we've got these days, like AI solving complex equations and doing business across time zones in a flash, so many companies are still struggling with the basics: taking care of their customers.The drama around Coinbase's customer support is a prime example of even tech giants messing up. And it's not just Coinbase — it's a big-picture issue for the whole industry. At some point, the idea of "customer obsession" got replaced with "customer automation," and now we're seeing the problems that came with it. "Cases" What Not to Do Coinbase, as main example, has long been synonymous with making cryptocurrency accessible. Whether you’re a first-time buyer or a seasoned trader, their platform was once the gold standard for user experience. But lately, their customer support practices have been making headlines for all the wrong reasons: Coinbase - Stuck in the Loop:  Users have reported being caugh...

 Up until recently, I was a skeptic about AI’s role in coding. The idea that AI could replace developers? Let’s just say I wasn’t buying it. But after this December, my perspective has shifted. Not only can AI support developers—it can dramatically speed up development. Here’s the story of how XRPayroll, my new app, came to life with the help of OpenAI’s ChatGPT o1. From Simple UI to Functional App When I started in December, I had a straightforward goal: build a simple XRP UI. Fast forward a few weeks, and XRPayroll is now an app with user management, admin login, and basic role-based access control (RBAC). What’s incredible is that approximately 70% of this app was AI-generated. Using OpenAI’s ChatGPT o1, I managed to implement: Vue.js Views : From basic layouts to dynamic components, o1 helped me structure and write reusable code efficiently. HTML : Generating clean, functional markup without getting bogged down in the details. SQLite Queries : Writing database calls with accura...

If you’ve ever heard the words superposition or entanglement thrown around in conversations about quantum physics, you may have nodded politely while your brain quietly filed them away in the "too confusing to deal with" folder.  These aren't just theoretical quirks; they're the foundation of mind-bending tech like Google's latest quantum chip, the Willow with its 105 qubits. Superposition challenges our understanding of reality, suggesting that particles don't have definite states until observed. This principle is crucial in quantum technologies, enabling phenomena like quantum computing and quantum cryptography. What's in for us? Short, nothing at the moment. 105 qubits sounds awesome, but it would neither crack encryption nor enhance AI in the next few years. There are some use cases for Willow, like drug (protein) discovery or solving certain mathematical problems when they aren't too complicated. Right now, Google managed to turn physical qubits ...

My upcoming novel,  Catalyst , is set in a world where AI is a major player in shaping the human future. I did some research into how AI is currently being used in software development and found that it has some amazing capabilities, but also some limitations that are a bit concerning. I'd even go so far as to say that those models are a bit of a hoax. They're impressive, but they don't actually solve anything. Yes, AI coding assistants like Devin and Copilot are impressive in demos and demo videos. In reality, they're not as powerful as you'd think, but they're great for simple tasks like crafting email parsing functions or authentication flows. However, I ran into some issues when I tried to use it in more complex situations. When I asked the AI to " write a connector from a database to ingest data into Spark ," it didn't understand and made mistakes. And that is a pure, simple and so well documented task that every non-coder could do that by sim...

When your MySQL database reaches its performance limits, vertical scaling through hardware upgrades provides a temporary solution. Long-term growth, though, requires a more comprehensive approach. This involves optimizing the database strategically and integrating complementary technologies. Caching The implementation of a caching layer, such as Memcached or Redis , can result in a notable reduction in the load and an increase ni performance at MySQL. In-memory stores cache data that is accessed frequently, enabling near-instantaneous responses and freeing the database for other tasks. For applications with heavy read traffic on relatively static data (e.g. product catalogues, user profiles), caching represents a low-effort, high-impact solution. Consider a online shop product catalogue with thousands of items. With each visit to the website, the application queries the database in order to retrieve product details. By using caching, the retrieved details can be stored in Memcached (a...

Amazon often does this thing where they start with the customer instead of just coming up with a product and then trying to figure out how to sell it. They call it " working backwards. " This strategy totally works for any product decisions, but it's especially important when they're making something new. The Press Release Exercise When it comes to launching new stuff, product managers usually start by writing a press release for customers. This press release is all about their pain points, how current solutions fall short, and how the new product is going to crush it. If the benefits don't get customers excited, the product manager needs to keep tweaking the press release until it sounds super awesome. It's way easier and cheaper to make changes to a press release than it is to change the product itself. Here’s a template I use to describe a new service or product: Main heade r: The product name anyone directly understands, like “Ultra-compact power charger” ...