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@kaptain shared a link, 4 months, 2 weeks ago

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eBPF Beginner Skill Path

This hands-on path drops devs straight into writing, loading, and poking at basiceBPFprograms withlibbpf,maps, and those all-important kernel safety checks. It starts simple - with a beginner-friendly challenge - then dives deeper into theverifierand tools for runtime introspection... read more

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@kaptain shared a link, 4 months, 2 weeks ago

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How to build highly available Kubernetes applications with Amazon EKS Auto Mode

Amazon EKS Auto Mode now runs the cluster for you—handling control plane updates, add-on management, and node rotation. It sticks to Kubernetes best practices so your apps stay up through node drains, pod failures, AZ outages, and rolling upgrades. It also respectsPod Disruption Budgets,Readiness Ga.. read more

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@kaptain shared a link, 4 months, 2 weeks ago

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Building a Kubernetes Platform — Think Big, Think in Planes

Thinking in planes, as introduced by the Platform Engineering reference model, helps teams describe their platform in a simple, shared language, turning a collection of tools into a platform. It forces you to think horizontally, connecting teams and technologies instead of adding more layers, creati.. read more

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@kaptain shared a link, 4 months, 2 weeks ago

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Helm 4 Overview

Helm 4 ditches the old plugin model for a sharper, plugin-first architecture powered by WebAssembly. That means isolation/control, and deeper customization - if you're ready to adapt! Post-renderers are now plugins. That breaks compatibility with earlier exec-based setups, so expect some rewiring. .. read more

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@kaptain shared a link, 4 months, 2 weeks ago

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Unlocking next-generation AI performance with Dynamic Resource Allocation on Amazon EKS and Amazon EC2 P6e-GB200

Amazon just droppedEC2 P6e-GB200 UltraServers, packingNVIDIA GB200 Grace Blackwellchips. Built for running trillion-parameter AI models onAmazon EKSwithout losing sleep over scaling. Under the hood:NVLink 5.0,IMEX, andEFAv4stitch up to 72 Blackwell GPUs into one memory-coherent cluster per UltraServ.. read more

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@kaptain shared a link, 4 months, 2 weeks ago

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The State of OCI Artifacts for AI/ML

OCI artifacts quietly leveled up. Over the last 18 months, they’ve gone from a niche hack to production muscle for AI/ML workloads on Kubernetes. The signs? Clear enough:KitOpsandModelPacklanded in the CNCF Sandbox. Kubernetes 1.31 got native support forImage Volume Source. Docker pushedModel Runner.. read more

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@kala shared a link, 4 months, 2 weeks ago

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Build AI Agents Worth Keeping: The Canvas Framework

MIT and McKinsey found a gap the size of the Grand Canyon: 80% of companies claim they’re using generative AI, but fewer than 1 in 10 use cases actually ship. Blame it on scattered data, fuzzy goals, and governance that's still MIA. A new stack is stepping in:product → agent → data → model. It flips.. read more

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@kala shared a link, 4 months, 2 weeks ago

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Detect inappropriate images in S3 with AWS Rekognition + Terraform

A serverless AWS pipeline runs image moderation on autopilot - withS3,Lambda,Rekognition,SNS, andEventBridgeall wired up throughTerraform. When a photo gets flagged, it’s tagged, maybe quarantined, and triggers an email alert. Daily scan? Handled... read more

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@kala shared a link, 4 months, 2 weeks ago

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Grokipedia

Grokipedia just dropped - a Wikipedia remix built from LLM output, pitched as an escape from "woke" bias. The pitch? Bold. The execution? Rough. Entries run long. Facts bend. Citations wander. And the tone? Cold, context-free, and unmistakably machine-made. The usual LLM suspects are here: hallucina.. read more

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@kala shared a link, 4 months, 2 weeks ago

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Why GPUs accelerate AI learning: The power of parallel math

Modern AI eats GPUs for breakfast - training, inference, all of it. Matrix ops? Parallel everything. Models like LLaMA don’t blink without a gang of H100s working overtime... read more

Magecomp Magento 2 Multiple Wishlist Extension is a powerful tool designed to enhance the default wishlist functionality in Magento 2. Developed by Magecomp, a trusted provider of Magento extensions, this extension offers advanced features and flexibility for creating multiple wishlists on your Magento 2 store.

Wishlists are an essential feature for any e-commerce store as they allow customers to save products for future reference or purchase. However, the default Magento 2 wishlist functionality only allows customers to create a single wishlist. This limitation can be restrictive, especially for customers who want to organize their saved products into different categories or share specific wishlists with others.

Magecomp's Multiple Wishlist Extension addresses these limitations by enabling customers to create and manage multiple wishlists effortlessly. Here are some key features and benefits of this extension:

Multiple Wishlists: The extension allows customers to create multiple wishlists based on their preferences. Customers can organize their saved products into different wishlists, such as "Birthday Gifts," "Holiday Shopping," or "Favorite Items," providing them with better control and organization over their desired products.

Wishlist Sharing: With this extension, customers can easily share their wishlists with friends, family, or on social media platforms. The sharing functionality enhances customer engagement and encourages social interaction, allowing customers to get opinions or recommendations from others before making a purchase decision.

Privacy Control: Magecomp's Multiple Wishlist Extension provides customers with privacy control options. Customers can choose to keep their wishlists private or make them public, depending on their preferences. Public wishlists can be viewed and accessed by others, which can be useful for sharing gift ideas or creating collaborative wishlists.

Wishlist Search and Filtering: The extension enhances the usability of wishlists by adding search and filtering options. Customers can search for specific products within a wishlist or filter products based on various attributes such as price, brand, or category. This feature simplifies the process of finding desired products within a large wishlist, improving the overall user experience.

Bulk Actions: Customers can perform bulk actions on their wishlists, such as adding multiple products to the cart, removing selected products, or moving items between wishlists. These bulk actions save time and provide convenience to customers when managing their wishlists.

Customization Options: The Multiple Wishlist Extension allows store owners to customize various aspects of the wishlists, including layout, design, and display options. This customization capability ensures that the wishlists seamlessly integrate with the overall look and feel of the Magento 2 store.

Easy Integration: The extension is designed to seamlessly integrate with the Magento 2 platform. It is easy to install, configure, and use, without requiring extensive technical knowledge or coding skills.

In conclusion, Magecomp Magento 2 Multiple Wishlist Extension is a valuable addition to any Magento 2 store, empowering customers with the ability to create and manage multiple wishlists. With enhanced features like wishlist sharing, privacy control, search and filtering options, and customization capabilities, this extension improves the user experience and boosts customer engagement on your e-commerce website.

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