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@faun shared a link, 11 months ago
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Announcing Argo CD v3.1

Argo CD v3.1rolls out the red carpet forOCI registries. Now you can grab Kubernetes manifests just like container images. Security and portability take center stage. Meet the new Hydrator updates, which stitch dry commits to code, making traceability sleeker and UI displays sharper... read more  

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Kubernetes configuration as code – Gitea and ArgoCD

ArgoCDbrings serious application management chops to the table. But when it meets existingHelmsetups, chaos might ensue—junk those old secrets to clear the path... read more  

Kubernetes configuration as code – Gitea and ArgoCD
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State of App Dev: AI

64% of users find AI tools actually lighten the workload, yet 59% roll their eyes at the hype—function outshines flash.But behind the curtain, data prep still plays villain, tripping up 24% of AI builders... read more  

State of App Dev: AI
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Enforce admission policies with artifact attestations in Kubernetes using OPA Gatekeeper

OPA Gatekeeperups the ante on Kubernetes security. How? By enforcingGitHub Artifact Attestationswith the flair of a seasoned bouncer. Non-compliant images now get the boot before they even think about deployment... read more  

Enforce admission policies with artifact attestations in Kubernetes using OPA Gatekeeper
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@faun shared a link, 11 months ago
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How To Run Kubernetes Commands in Go: Steps and Best Practices

Gocranks upKubernetesautomation, letting you tango directly with clusters at lightning speed. Forget clumsy shell scripts. Dive into Go's slick native libraries to conjure up CLI tools and seamless automation. Meanwhile, bask in rock-solid community support and run your masterpieces on any platform... read more  

How To Run Kubernetes Commands in Go: Steps and Best Practices
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How I Stopped Worrying About Costs and Learned to Love Kubernetes

Deploying a punyHello Worldapp on Kubernetes? Brace yourself. The meter's running even before your first visitor stumbles in—over$150/monthjust for the control plane. Solution? EnterRackspace Spot. Slash that tab by up to76%using bargain-basement servers that practically pay you at $0.001/hour, plus.. read more  

How I Stopped Worrying About Costs and Learned to Love Kubernetes
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How MacOS Tahoe's killer new feature could make Docker feel obsolete

macOS Tahoerolls out nativeLinux containersupport. Goodbye, third-party hoop-jumping with Docker. Hello, secure coding paradise. Developers rejoice!.. read more  

How MacOS Tahoe's killer new feature could make Docker feel obsolete
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ArgoCD: A Practical Guide to GitOps on Kubernetes

ArgoCD tackles giant deployments head-on, operating with a cunning pull-based model inside Kubernetes clusters. This clever move slashes the risk from exposed API keys and tightens security.LoveHolidays? They're jazzed. Their deploys skyrocket—over 1500 times a month. It’s a testament to ArgoCD's kn.. read more  

ArgoCD: A Practical Guide to GitOps on Kubernetes
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@laura_garcia shared a post, 11 months ago
Software Developer, RELIANOID

🔁 What is a Load Balancing Switch?

A Load Balancing Switch is a powerful networking device that distributes incoming traffic across multiple servers — improving performance, scalability, and availability. At RELIANOID, we’ve integrated this into our solutions to help businesses: ✅ Optimize resource usage ✅ Ensure high availability ✅ ..

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@shyamvijay shared a link, 11 months, 1 week ago
@Mirrorfly

Embed Video Conferencing in Your App with MirrorFly’s API

Learn how to integrate scalable, secure, and real-time video conferencing into your app using MirrorFly's Video Calling API. This blog walks you through the benefits, technical features, and step-by-step process to embed video calls effortlessly into web or mobile platforms.

In-app video conferencing interface powered by MirrorFly API with real-time low-latency video call features on mobile and web
Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.