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Introducing the Certified Cloud Native Platform Engineering Associate (CNPA): Community-Driven Certification for Platform Engineers

The CNPA cert isn't just a piece of paper—it's your ticket to proving you're a maestro of platform engineering. Think automation, observability, and making life easier for developers. Created by the CNCF and Linux Foundation, with a little help from over 50 tech visionaries, it's tailor-made for tho.. read more  

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Save Millions on Your Cloud Bill: 11 Strategies for Kubernetes Cost Optimization

Cloud budgets take a 28% hit.Money vanishes like socks in a dryer. Tame the chaos by closely watching usage and putting Kubernetes on autopilot. Cost control starts with crystal-clear visibility and bold tweaks to cluster autoscaler settings. Custom schedulers and spot nodes can slash expenses, but .. read more  

Save Millions on Your Cloud Bill: 11 Strategies for Kubernetes Cost Optimization
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No SSH? What Is Talos, This Linux Distro for Kubernetes?

Talos Linuxflips the script: an unyielding file system, managed by API magic, and says goodbye to SSH forever. Built forKuberneteson just about any platform. Yes, even those Raspberry Pis hiding in your drawer... read more  

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Announcing Multigres: Vitess for Postgres

Supabasehas a bold mission: makePostgresfly with their new project,Multigres. Inspired byVitessfor MySQL, they're gunning for seamless Postgres compatibility. Supabase hums along as usual, but keep an eye onOrioleDB—it's about to team up with Multigres and stir things up... read more  

Announcing Multigres: Vitess for Postgres
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Publishing AI models to Hub

Docker Model Runnerstruts out with new tricks:tag, push, and packagecommands. Want to pass around AI models like they're hot potatoes? Now you can. They're OCI artifacts now, slotting smoothly into your workflow like it was always meant to be... read more  

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Lead DevOps Engineer, @sixense-digital

Korben.info - Quarkdown : Du Markdown avec des super pouvoirs pour les tech

Vous en avez marre de galérer avec LaTeX pour rédiger vos docs techniques ? Et bien de mon côté, j’ai découvert Quarkdown et c’est vraiment cool, vous allez voir.

Quarkdown, c’est donc le projet coup de coeur de Giorgio Garofalo, un étudiant en ingénierie à l’université de Bologne qui a eu une idée de génie : et si on combinait la simplicité de Markdown avec la puissance de LaTeX ? Le résultat, est donc un système de composition moderne qui compile en millisecondes là où LaTeX nous fait poireauter des secondes entières.

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Software Developer, RELIANOID

🌐 The Next Web Conference 2025

📅 June 19–20, 2025 📍 Amsterdam, Netherlands The Next Thing. It’s Our Thing. Join us at TNW Conference 2025, where tech meets business in a high-energy, festival-style setting. Whether you're a founder, investor, innovator, or tech enthusiast—this is where Europe’s digital future is being shaped. Why..

The Next Web Conference
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Software Developer, RELIANOID

📊 The State of Open Source in 2025: Between Growth and Growing Pains

The latest “State of Open Source” report paints a picture that’s both familiar and unexpectedly sobering. Yes—96% of organizations are using FOSS. But behind that success story are challenges that can't be ignored: 🔸 40% of large enterprises still rely on end-of-life CentOS 🔸 25% don’t know how they..

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Founder, www.dridhon.com

AML/KYC Interview Questions: Advanced Preparation Guide (2025 Edition)

Top 15 Advanced AML/KYC Questions & Answers - What is FATF? The Financial Action Task Force sets international standards to prevent money laundering and terrorist financing. - False Positive vs. False Negative? False Positive: Genuine transaction flagged incorrectly False Negative: Suspicious t..

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Software Developer, RELIANOID

🚀 Thank you for the 5⭐ Google review!

We’re thrilled to receive such great feedback on our solutions — it truly means a lot to the entire RELIANOID team. Your trust motivates us to keep buildinghigh-performance, secure, and reliable ADC and load balancing technologiesthat make a real impact. 🔐 Whether it’s aboutperformance,stability, or..

5star review Nitish Google RELIANOID
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.