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@kaptain shared a link, 6 months, 1 week ago
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Replaying massive data in a non-production environment using Pekko Streams and Kubernetes Pekko Cluster

DoubleVerify built a traffic replay tool that actually scales. It runs onPekko StreamsandPekko Cluster, pumping real production-like traffic into non-prod setups. Throttlenails the RPS with precision for functional tests.Distributed datasyncs stressful loads across cluster nodes without breaking a s.. read more  

Replaying massive data in a non-production environment using Pekko Streams and Kubernetes Pekko Cluster
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@kaptain shared a link, 6 months, 1 week ago
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Spotlight on Policy Working Group

The Kubernetes Policy Working Group got busy turning good intentions into real specs. They rolled out thePolicy Reports API, dropped best-practice docs worth reading, and helped steerValidatingAdmissionPolicyandMutatingAdmissionPolicytoward GA. Their work pulled inSIG Auth,SIG Security, and anyone e.. read more  

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@kaptain shared a link, 6 months, 1 week ago
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Exposing Kubernetes Services Without Cloud LoadBalancers: A Practical Guide

Bare-metal Kubernetes just got a cloud-style glow-up. By wiring upMetalLBin layer2 mode with theNGINX ingress controller, the setup exposesLoadBalancer-typeservices—no cloud provider in sight. MetalLB dishes out static, LAN-routable IPs. NGINX funnels external traffic to internalClusterIPservices th.. read more  

Exposing Kubernetes Services Without Cloud LoadBalancers: A Practical Guide
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@kaptain shared a link, 6 months, 1 week ago
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7 Common Kubernetes Pitfalls (and How I Learned to Avoid Them)

Seven ways folks trip over Kubernetes - each more avoidable than the last. Top offenses: skippingresource requests/limits, forgettinghealth probes, trustingephemeral logsthat vanish when you need them. Reusing configs across dev and prod? Still a bad idea. Pushing off observability until it’s on fir.. read more  

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@kala shared a link, 6 months, 1 week ago
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I regret building this $3000 Pi AI cluster

A 10-node Raspberry Pi 5 cluster built with16GB CM5 Lite modulestopped out at325 Gflops- then got lapped by an $8K x86 Framework PC cluster running4x faster. On the bright side? The Pi setup edged out in energy efficiency when pushed to thermal limits. It came with160 GB total RAM, but that didn’t h.. read more  

I regret building this $3000 Pi AI cluster
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@kala shared a link, 6 months, 1 week ago
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Why open source may not survive the rise of generative AI

Generative AI is snapping the attribution chain thatcopyleft licenseslike theGNU GPLrely on. Without clear provenance, license terms get lost. Compliance? Forget it. The give-and-take that powersFOSSstops giving - or taking... read more  

Why open source may not survive the rise of generative AI
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@kala shared a link, 6 months, 1 week ago
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Optimizing document AI and structured outputs by fine-tuning Amazon Nova Models and on-demand inference

Amazon rolled out fine-tuning and distillation forVision LLMslike Nova Lite viaBedrockandSageMaker. Translation: better doc parsing—think messy tax forms, receipts, invoices. Developers get two tuning paths:PEFTor full fine-tune. Then choose how to ship:on-demand inference (ODI)orProvisioned Through.. read more  

Optimizing document AI and structured outputs by fine-tuning Amazon Nova Models and on-demand inference
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@kala shared a link, 6 months, 1 week ago
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Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning

Generative recommender systems need more than just observed user behavior to make accurate recommendations. Introducing A-SFT algorithm improves alignment between pre-trained models and reward models for more effective post-training... read more  

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@kala shared a link, 6 months, 1 week ago
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What Significance Testing is, Why it matters, Various Types and Interpreting the p-Value

Significance testing determines if observed differences are meaningful by calculating the likelihood of results happening by chance. The p-value indicates this likelihood, with values below 0.05 suggesting statistical significance. Different tests, such as t-tests, ANOVA, and chi-square, help analyz.. read more  

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@devopslinks shared a link, 6 months, 1 week ago
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A FinOps Guide to Comparing Containers and Serverless Functions for Compute

AWS dropped a new cost-performance playbook pittingAmazon ECSagainstAWS Lambda. It's not just a tech choice - it’s a workload strategy. Go containers when you’ve got steady traffic, high CPU or memory needs, or sticky app state. Go serverless for spiky, event-driven bursts that don’t need a long lea.. read more  

A FinOps Guide to Comparing Containers and Serverless Functions for Compute
eSiteWorld – Global Leaders in On-Demand App Development

Founded in 2005, eSiteWorld is a top on-demand app development company expert in ready-made and custom white-label solutions for start-ups, entrepreneurs, and enterprise-level businesses globally. eSiteWorld has a dedicated team of 60+ skilled professionals, we have successfully developed more than 1,520 e-Hailing apps,  this equals two e-Hailing apps launched every single day, along with having 99% of our clients repeat their business.

At eSiteWorld, we allow businesses to build scalable digital platforms such as Uber-like taxi applications, multi-functional super apps that offer multiple services and delivery services that are fully compatible with both ios and android. Our platforms combine cutting-edge technology, modern User Interface and User Experience (UI/UX), robust back-end and cloud-based architecture and 100+ advanced features to ensure outstanding performance and the best possible user experience.

eSiteWorld does more than just develop apps; we will help you build a complete digital business ecosystem. Our solutions support all types of business models including ride-hailing, food delivery, home services and logistics with either full-service customisation (if desired), secure payment gateway functionality, third-party integrations and dedicated technical support as well.

We have an excellent global presence having provided more than 1,520 innovative app solutions in more than 30 countries. Our app solutions have allowed our clients to develop a strong digital footprint, shorten time to market, reduce costs and maximise revenue potential.

Our Expertise Includes:

Taxi Booking App Development (Uber-Like Apps)
Multi-Service App Development (Super Apps)
On-Demand Delivery App Solutions (Food, Grocery, Parcel & Logistics)
White-Label App Development with Full Customization
Payment Gateway & API Integrations

Our Vision:

To enable businesses worldwide with future-ready, scalable, and feature-rich app solutions that drive innovation, efficiency, and sustainable growth.

Empowering entrepreneurs. Building seamless apps. Driving your business forward.