Kleber Rogerio Duda @klduda

Software Engineer, coder and AI orchestrator. Joined June 2009

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Kleber Rogerio Duda @klduda

a month ago

@R38TAO Para os que reclamam da Meloni, a jurisdicāo italiana segue a legislacāo de Bruxelas, cansei de ver o governo italiano levar toco de juízes em qualquer tentativa de lidar com a questāo de imigrantes.

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freeCodeCamp.org @freeCodeCamp

a year ago

If you want to get into Machine Learning, a solid foundation in Linear Algebra is key. It'll help you understand how deep learning models, optimization algorithms, & computer vision work under the hood. In this course, you'll learn about matrices & vectors, determinants & inverses, Eigenvalues & Eigenvectors, & lots more. freecodecamp.org/news/learn-lin…

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Python Coding @clcoding

a year ago

Python for LINUX System Administration pythonclcoding.gumroad.com/l/wlahxo

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a year ago

SQL Execution Order @MetricMindsIn

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Andrew Bolis @AndrewBolis

a year ago

AI skills will be crucial for years to come. Knowing how to use ChatGPT isn’t enough. Learn these AI skills to future-proof your career: (remember to 🔖 bookmark for later) 1. Prompt Engineering: Write better instructions to help AI tools give you exactly what you need. 2. AI Workflow Automation: Link different apps together to help you complete tasks automatically. 3. AI Agents: Use AI systems that act like teammates to handle tasks together. 4. Retrieval Augmented Generation (RAG): Link AI chatbots to your private files for more accurate answers. 5. Multimodal AI: Use AI that understands pictures, sounds, and text all at once. 6. Fine-Tuning and AI Assistants: Build custom AI models or assistants tailored to your needs. 7. Voice AI and Avatars: Make realistic AI voices and avatars for videos and presentations. 8. AI Tool Stacking: Use tools like Notion, Zapier, and ChatGPT together to work faster. 9. AI Video Content Generation: Turn your ideas or blog posts into professional videos using AI. 10. SaaS Development: Build small AI-powered apps using no-code tools. 11. LLM Management: Keep track of how well your AI tools are working and what they cost. 12. Stay Updated: Follow top AI news sites to stay ahead of trends and new tools. AI won’t replace you. But someone with AI skills might. 📌 Learn 30 free AI tools in 30 days: bit.ly/497dAYU 👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others learn AI

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Python Developer @PythonDvz

a year ago

Important Python Concepts #python #programming #developer #programmer #coding #coder #softwaredeveloper #computerscience #webdev #webdeveloper #webdevelopment #pythonprogramming #pythonquiz #ai #ml #machinelearning #datascience

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Tobias Schmidt @tpschmidt_

a year ago

I've finally understood the Confused Deputy Problem at AWS IAM after reading Rowan's The Practical AWS IAM Guide. Summary: If a user with limited permissions is allowed to use ⁠iam:PassRole on roles with wide permissions, they can easily escalate permissions 🔓

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Tech Fusionist @techyoutbe

a year ago

DevOps Pipeline 🚀☁️

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TRÄW🤟 @thatstraw

a year ago

How Address Resolution Protocol (ARP) works

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Javarevisited @javarevisited

a year ago

10 Must-Read AI and LLM Engineering Books for Developers in 2025 1. AI Engineering by Chip Huyen - buff.ly/Nf1RMHU 2. The LLM Engineering Handbook by Paul Iusztin and Maxime Labonne - buff.ly/wogklbo 3. Designing Machine Learning Systems by Chip Huyen - buff.ly/EfN5uOE #AI #ArtificialIntelligence #Books #LLM

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Tech with Mak @techNmak

a year ago

Scalable, reliable, forgetful => that’s the beauty of stateless services. When the state is pushed out of the app: - Deployments get boring (in a good way) - Failures isolate cleanly - Scaling stops being heroic But statelessness isn’t just about removing things, it’s about designing with the right patterns: token auth, distributed caches, sagas, retries, and observability that actually tells you something. If you're still wrestling with sticky sessions or instance-bound metrics, it might be time to rethink. What’s the hardest stateless pattern you’ve had to implement? #letsconnect @techNmak

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Kube Architect @K8sArchitect

a year ago

Helmfile is a declarative spec for deploying Helm charts. It lets you: - Keep a directory of chart value files and maintain changes in version control - Apply CI/CD to configuration changes - Periodically sync to avoid skew in environments ➤ ku.bz/3QXscgpdk

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Nikki Siapno @NikkiSiapno

a year ago

Elasticsearch explained: 🧵🔖

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Tobias Schmidt @tpschmidt_

a year ago

Do you know the core concepts of AWS IAM? Or is it mostly a "where to add another wildcard policy to make this work?" ⚡️ If it's the latter one, please have a read of this summary for maybe the most important concept in AWS IAM: Roles 🔐

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a year ago

ML for Beginners - Regression Analysis This course builds a very strong foundation of Machine Learning, based on regression analysis, taught by Ayush Singh 9 hour intense course, starting from basics to advanced level projects ( 2 projects ). Link in comments 😎👇

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Javarevisited @javarevisited

a year ago

If you want to become good at system design, learn these concepts: 1. API Gateway vs Load Balancer? buff.ly/3S2bjsr 2. Reverse Proxy vs Forward Proxy? buff.ly/3PEGDME 3. Horizontal scaling vs vertical scaling? buff.ly/49NvS26 4. Microservices vs Monolithic architecture? buff.ly/4aC7mS4

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Python Coding @clcoding

a year ago

🚀 Check Your Internet Speed Using Python in Seconds!

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sysxplore @sysxplore

a year ago

Linux Admin Tips🐧

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Python Developer @PythonDvz

a year ago

The Modern AI Ecosystem #python #datascience #machinelearning #deeplearning #ai #artificialintelligence #programming #developer #softwaredeveloper #computerscience #calculus #linearalgebra #algebra #maths #mathematics

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Tech with Mak @techNmak

a year ago

What is MQTT? MQTT (originally "Message Queuing Telemetry Transport") => a lightweight, publish-subscribe messaging protocol. => designed for fast, efficient, and reliable communication between devices, especially in environments with limited bandwidth and high latency => uses a broker to route messages from publishers (devices sending data) to subscribers (devices or apps interested in that data) without them needing to know about each other 📌 Some History => Invented in 1999 by Andy Stanford-Clark (IBM) and Arlen Nipper (Arcom) for monitoring oil pipelines over unreliable satellite links The main goal => minimal bandwidth use and battery consumption. => IBM released MQTT 3.1 as an open protocol in 2010 => Standardized by OASIS in 2013 => MQTT 5 released in 2019 Today, MQTT is the de facto standard for IoT messaging and is widely used across industries. 📌 Real-World Use Case Smart Home Automation => A smart thermostat publishes temperature data to an MQTT broker. => Smart lights or HVAC systems subscribe to that data and adjust settings automatically. => Homeowners can control and monitor all devices from a single app. Other major use cases => Industrial IoT => fleet management => smart grids => healthcare (remote monitoring) => agriculture => logistics ----------- 🗞️ Follow - @techNmak