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@faun shared a link, 8 months, 1 week ago
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Kubernetes Learning Roadmap

The Kubernetes Learning Roadmap covers key concepts such as understanding Kubernetes use cases, installing Kubernetes locally, interacting with Kubernetes using YAML and kubectl, managing deployments and replica sets, and networking in Kubernetes. Additionally, it includes topics like managing envir.. read more  

Kubernetes Learning Roadmap
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@faun shared a link, 8 months, 1 week ago
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5 of the best distros for building Kubernetes clusters

More devs are spinning upKubernetes clusters on stripped-down Linux distros—thinkRaspberry Pi OS,Debian,Talos Linux,Fedora CoreOS. MicroK8s and k3s make low-power, ARM-first deployments feel less like a science project. Talos Linux? It’s the wildcard—API-only node opsand animmutable, locked-down de.. read more  

5 of the best distros for building Kubernetes clusters
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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

💻 Linux Tip: ss Command Cheatsheet

The ss (Socket Statistics) command is a faster, more powerful alternative to netstat—perfect for troubleshooting and monitoring network connections. From checking listening ports 🔎 to analyzing load balancer traffic ⚡, our new Cheatsheet gives you the key commands in one place. 👉 Read the 1-minute g..

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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

🔹 Load Balancing and High Availability for Skype for Business 🔹

In today’s enterprises, Skype for Business is more than just a communication tool—it’s the backbone of collaboration, meetings, and customer interactions. But what happens when downtime strikes? 🚫 Missed client calls 🚫 Halted internal collaboration 🚫 Reduced productivity That’s why High Availability..

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@excelredtech shared a link, 8 months, 1 week ago

Why Java Still Dominates in Full-Stack Development

Java remains a top choice for enterprise-level applications due to its stability, security, and rich ecosystem. A Java full stack developer course helps learners master frameworks like Spring Boot and Hibernate, equipping them to build scalable apps end-to-end. With its cross-platform capability and strong community support, Java continues to offer excellent career opportunities for developers who want to stay relevant in today’s tech industry.

Why Java Still Dominates in Full-Stack Development
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@girishkumarb shared a post, 8 months, 1 week ago
SEO Executive, uCertify

Top 10 Azure Services Every Developer Should Know About in 2025

Microsoft Azure continues to dominate cloud computing in 2025, offering developers a wide range of tools to build, deploy, and scale applications efficiently. Key services like App Services, Functions, SQL Database, Cosmos DB, Blob Storage, DevOps, Kubernetes Service, AI Services, Key Vault, and Monitor are essential for modern development. Mastering these helps developers streamline workflows, integrate AI, secure data, and deliver high-performing applications—making Azure knowledge a must-have skill in today’s tech landscape.

Microsoft Azure cloud platform tools and services for developers in 2025
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@idjuric660 shared a post, 8 months, 1 week ago
Technical Content Writer, Mailtrap

Send Emails with Lovable and Mailtrap

Mailtrap.io

Learn how to integrate Mailtrap with your Lovable application to send transactional emails, manage contacts, and create powerful email workflows without writing complex code.

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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

🔐 Is your firewall doing enough to protect your applications?

As cyber threats continue to evolve, traditional firewalls that operate at the network or transport layers are no longer sufficient. That’s where Application-Level Firewalls (ALFs) come in — offering deep inspection, application-aware filtering, and real-time protection against sophisticated attacks..

KB What is application level firewall
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@laura_garcia shared a post, 8 months, 1 week ago
Software Developer, RELIANOID

Strengthening Operational Technology (OT) Security: What You Need to Know

The Cybersecurity and Infrastructure Security Agency (CISA), alongside 11 international partners, has released the ‘Secure by Demand’ guide to help OT owners and operators integrate robust security measures into their procurement processes. The guide highlights 12 essential security elements that cr..

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@viktoriia-yarosh shared a post, 8 months, 1 week ago
Freshcode

How Grammarly and Kasta Made Ukraine a Global Clojure Hotspot

When developers think of the global adoption of Clojure, they often cite giants like Netflix, Walmart, or Nubank. There is, however, a thriving Clojure ecosystem that has been stealthily powering innovation from an unsuspecting part of the world: Ukraine. With over 633 tech companies and some unicor..

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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.