Updates and recent posts about GPT..

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@faun shared a link, 10 months ago

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Building a Secure, Scalable, and Automated Cloud-Native Platform on AWS with EKS, GitOps, and…

The blueprint carves out production-grade AWS infra. Terraform orchestrates VPCs with public and private subnets, deploys a Bastion host, spins up private EKS clusters, and stands up an internet-facing ALB armed with SSL/TLS. Argo CD drives GitOps. The CI pipeline runs SAST, builds Docker images, hu.. read more

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MCP Catalog: Finding the Right AI Tools for Your Project

Docker Desktop hatches a betaMCP CatalogandToolkit. It unleashes 100+ containerized Model Context Protocol servers loaded with metadata and use-case filters. Teams fire them via GUI or CLI. The catalog carvesDocker-builtimages from community builds, runs supply-chain scans, and seals isolation. Cust.. read more

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We Added Chaos to Our CI/CD Pipelines — It Made Everything More Stable.

Wix’sMREteam injectsAI-drivenchaosintoCI/CDpipelines. Mobile releases gain speed and rock-solid stability. They harness hackathon-born prompt tests to bulletproof builds and deployments. Signal: AI resilience trials in pipelines mark a shift from rigid builds to probabilistic validation... read more

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The Art of Azure RBAC for Kubernetes: A Complete Guide to Access Control Mastery

This article dives into Azure RBAC for Kubernetes. It maps each persona to pinpoint roles per namespace. Permissions stay minimal from the get-go. It ties role bindings toAzure AD groups, splits dev and prod, and flips on audit logs. Quarterly reviews, crisp docs keep RBAC lean and current... read more

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Critical VMware Tools VGAuth Vulnerabilities Enable Full System Access for Attackers

Two CVE-2025 vulns in VMware Tools allow SYSTEM access via named pipe hijacking and path traversal. Upgrade to 12.5.1+ ASAP for fixes. Administrators must upgrade... read more

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Serverless: The Illusion of Choice

A LinkedIn thread exposes a hack around AWS EventBridge’s256KBlimit. Someone chains Lambdas tocompressthendecompressevents. Serverless traps lurk: blown-upIAMpermissions. Triggers with zero validation. Wide-openegress. Unscanned packages fueling supply chain bombs... read more

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GitHub Spark in public preview for Copilot Pro+ subscribers

GitHub Spark spins natural-language prompts into full-stack AI apps in minutes. It tapsClaude Sonnet 4to scaffold UI and server logic. It hooks updata storage,LLM inference, hosting,GitHub Actions,Dependabot, plus multi-LLM smarts from OpenAI, Meta, DeepSeek and xAI—zero config. Trend to watch: AI .. read more

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A Mid-Year Look at CNCF Project Momentum

Cloud Native Computing Foundation’s mid-year report drops.Kubernetescommands 3,500+ authors.OpenTelemetryrockets to 1,884 contributors, snagging second in PR velocity.Backstageclimbs to 649.Argo(860) andFlux(156) lock GitOps in place.Kubeflowbreaks into the top 30 with 302. Trend to watch:Internal .. read more

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Bare-Metal Kubernetes: The Performance Advantage Is Almost Gone

Benchmarks crack open the myth: VM-based Kubernetes rivals bare metal. It secures 99% throughput. It matches latency in netperf and MLPerf. Major clouds spin containers on VMs. They enforce hard resource caps, isolation, and central policy management. Bare metal shrinks to ultra-low-latency niches. .. read more

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Kubernetes Image Builder Vulnerability Grants Root Access to Windows Nodes

A critical CVE-2025-7342 hauntsKubernetes Image Builder v0.1.44and earlier. It shipsNutanix/OVAimages with defaultWindows Administratorcreds intact. That slip-up invites root access on Windows nodes. Linux builds and other providers dodge this bullet. Mixed clusters run hot until images rebuild or p.. read more

GPT (Generative Pre-trained Transformer) is a deep learning model developed by OpenAI that has been pre-trained on massive amounts of text data using unsupervised learning techniques. GPT is designed to generate human-like text in response to prompts, and it is capable of performing a variety of natural language processing tasks, including language translation, summarization, and question-answering. The model is based on the transformer architecture, which allows it to handle long-range dependencies and generate coherent, fluent text. GPT has been used in a wide range of applications, including chatbots, language translation, and content generation.

GPT is a family of language models that have been trained on large amounts of text data using a technique called unsupervised learning. The model is pre-trained on a diverse range of text sources, including books, articles, and web pages, which allows it to capture a broad range of language patterns and styles. Once trained, GPT can be fine-tuned on specific tasks, such as language translation or question-answering, by providing it with task-specific data.

One of the key features of GPT is its ability to generate coherent and fluent text that is indistinguishable from human-generated text. This is achieved by training the model to predict the next word in a sentence given the previous words. GPT also uses a technique called attention, which allows it to focus on relevant parts of the input text when generating a response.

GPT has become increasingly popular in recent years, particularly in the field of natural language processing. The model has been used in a wide range of applications, including chatbots, content generation, and language translation. GPT has also been used to create AI-generated stories, poetry, and even music.