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@laura_garcia shared a post, 1 week, 3 days ago
Software Developer, RELIANOID

AI Reliability Engineering: The New Era of SRE

🤖 As AI becomes part of critical business operations, reliability is no longer just an infrastructure concern. From latency and model drift to observability and trust, AI workloads introduce a new set of challenges for modern SRE teams. In our latest article, we look at how reliability engineering i..

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@pluto_native started using tool Terraform , 1 week, 6 days ago.
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@pluto_native started using tool Kubernetes , 1 week, 6 days ago.
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@pluto_native started using tool Google Cloud Platform , 1 week, 6 days ago.
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@pluto_native started using tool Amazon Web Services , 1 week, 6 days ago.
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@eon01 shared a link, 1 week, 6 days ago
Founder, FAUN.dev

A curated list of free AI models, APIs, and tools you can use without paying a cent.

Running AI shouldn't require a credit card. This list curates genuinely free models — open-weight models you can self-host, free API tiers from major providers, and tools to run everything locally.

A curated list of free AI models, APIs, and tools you can use without paying a cent.
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@eon01 added a new tool Unsloth , 1 week, 6 days ago.
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@eon01 published a course, 1 week, 6 days ago
Founder, FAUN.dev

Local AI Engineering with Ollama

Docker Redis LangChain Ollama Unsloth

Run, understand, customize, fine-tune, and build agentic apps on your own hardware

Local AI Engineering with Ollama
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@laura_garcia shared a post, 1 week, 6 days ago
Software Developer, RELIANOID

EU Investment in Cybersecurity: Time for investing in Secure Solutions

🚨 €𝟭.𝟯 𝗕𝗜𝗟𝗟𝗜𝗢𝗡. That's how much the 𝗘𝗨 is investing in 𝗔𝗜, 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘀𝗸𝗶𝗹𝗹𝘀. But here's the real question: 👉 𝙄𝙨 𝙮𝙤𝙪𝙧 𝙞𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙧𝙚𝙖𝙙𝙮 𝙛𝙤𝙧 𝙬𝙝𝙖𝙩'𝙨 𝙘𝙤𝙢𝙞𝙣𝙜 𝙣𝙚𝙭𝙩? The European Commission has just sent a powerful message to organizations across Europe: cybersecurity is no longer optio..

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@nextgensoft shared a post, 2 weeks ago
Marketing Manager, nextgensoft

Why Businesses Are Moving from Generative AI to Agentic AI Systems?

Businesses are shifting from Generative AI to Agentic AI systems because modern enterprises need more than content generation; they need AI that can think, plan, make decisions, and execute tasks autonomously. Agentic AI enables smarter workflow automation, faster decision-making, reduced manual effort, and improved operational efficiency across industries. As businesses focus on scalability and intelligent automation, Agentic AI is emerging as the next evolution of enterprise AI solutions.

01- Agentic AI Systems
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.