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@devopslinks shared an update, 1 month, 3 weeks ago
FAUN.dev()

Amazon to Lay Off 14,000 Workers as Part of 30,000-Job Restructuring

Amazon plans to lay off 14,000 employees to streamline operations and boost AI investment, part of a broader strategy affecting up to 30,000 jobs.

Amazon to Lay Off 14,000 Workers as Part of 30,000-Job Restructuring
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@laura_garcia shared a post, 1 month, 3 weeks ago
Software Developer, RELIANOID

RELIANOID will be attending The North European Cyber Days 2025 in Oslo (Nov 4–6)!

We’re proud to support Europe’s cybersecurity and AI ecosystem — driving innovation, resilience, and trusted digital transformation with our high-performance ADC and proxy technologies. #Relianoid#CyberDays2025#CyberSecurity#AI#DigitalResilience#Innovation https://www.relianoid.com/about-us/events/t..

The north european cyber days oslo relianoid
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@elenamia shared a post, 1 month, 3 weeks ago
Technical Consultant, Damco Solutions

Why Enterprises Are Moving from Break-Fix to Proactive Application Maintenance and Support

Discover why forward-thinking enterprises are replacing break-fix models with proactive application maintenance.

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@brooksamybrook shared a post, 1 month, 3 weeks ago
Executive, CMARIX InfoTech

How to Assess and Improve Growth with the AI Maturity Model

AI maturity measures an organization’s ability to generate consistent business value from AI across strategy, data, people, and technology. The AI Maturity Model spans four stages—Initial, Repeatable, Defined, and Optimized—guiding firms from experimentation to full AI integration. Assessing AI maturity helps identify gaps, align investments, and turn AI from scattered projects into a sustainable, strategic advantage.

Assess Your Organization’s AI Maturity Model
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@arunsinghh011 shared a post, 1 month, 3 weeks ago
Business associate, Xcelore Private Limited

Building the Future: The Art of Smart AI Product Development

Have you ever wondered when “AI” stopped being a sci-fi buzzword and started showing up in your morning to-do list? Somewhere between that first predictive email and the chatbot that apologizes better than most customer reps, it happened. Quietly. Suddenly. Like caffeine sneaking into your bloodstream before the day really begins. That’s where AI product development services come in—not as some sterile tech jargon, but as the very engine redefining how we build, think, and work.

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@alexgrave876 shared a post, 1 month, 3 weeks ago
Content writer, Alpharive

The Architecture of Agentic AI: Building Machines That Think, Act, and Evolve

Explore the layered architecture of Agentic AI—how intelligent systems observe, reason, and act within their environments. Learn how perception, reasoning, and action layers create adaptive, self-improving machines built for real-world decision-making.

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@viktoriiagolovtseva shared a post, 1 month, 3 weeks ago

Why Use Atlassian Forge? Benefits, Pricing & Use Cases

Why Atlassian Needed a Modern App Development Platform

Building apps for Jira, Confluence, and other Atlassian products has traditionally been a resource-heavy process. Developers had to configure their own servers, ensure uptime, and pass rigorous security checks to get their apps approved for the Atlassian Marketplace. This setup required both development expertise and operational support, slowing app development and increasing costs.

Atlassian Forge was introduced to eliminate these barriers. It is a modern cloud-based app development platform that allows developers to build secure, serverless apps directly within Atlassian’s infrastructure. Forge simplifies building apps, giving developers more time to focus on functionality, while Atlassian handles hosting, security, and scaling.

This article explains Forge’s core features, key benefits, pricing model, and common use cases. Whether you are a developer considering your first Atlassian app or a team looking to transition from Connect to Forge, this guide will help you decide if Forge is the right solution for your business.

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@viktoriiagolovtseva shared a post, 1 month, 3 weeks ago

Jira For HR: How to Automate HR Processes And Use Checklists in Jira

The more you can automate, the more time you will have for the “H” part of HR—humans. In addition to freeing up time, automation brings you many other benefits. It allows you to build clear and transparent processes, create a smooth employee experience, and improve retention rates.

In this blog post, we explain how to set up various types of automation in Jira for HR management purposes.

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@anjali shared a link, 1 month, 3 weeks ago
Customer Marketing Manager, Last9

Sidecar or Agent for OpenTelemetry: How to Decide

Sidecar or agent? See when per-service isolation beats node-level efficiency, and how gateways fit into a scalable OTel pipeline.

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@laura_garcia shared a post, 1 month, 3 weeks ago
Software Developer, RELIANOID

In case you missed this update 👇

🌏 Asia Hits 50% IPv6 Capability — A Global Milestone 📶 Asia has officially crossed a key internet threshold: half of all systems in the region are now IPv6 capable, making it a global front-runner in IPv6 adoption. 📌 Why it matters: 🌐 India (78.1%) and China (810M users) are powering this impressive..

apnics top performers relianoid
Kata Containers is a Cloud Native Computing Foundation (CNCF) project designed to close the security gap between traditional Linux containers and virtual machines. Instead of sharing a single host kernel like standard containers, Kata Containers launches each pod or container inside its own lightweight virtual machine using hardware virtualization.

This approach dramatically reduces the attack surface and prevents container escape vulnerabilities, making Kata ideal for multi-tenant, untrusted, or sensitive workloads. Despite using VMs under the hood, Kata is optimized for fast startup times and integrates seamlessly with Kubernetes through the Container Runtime Interface (CRI), allowing it to be used alongside runtimes like containerd and CRI-O.

Kata Containers is commonly used in scenarios such as multi-tenant Kubernetes clusters, confidential computing, sandboxed AI workloads, serverless platforms, and agent execution environments where strong isolation is mandatory. It supports multiple hypervisors, including QEMU, Firecracker, and Cloud Hypervisor, and continues to evolve toward faster boot times, lower memory overhead, and better hardware acceleration support.