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@devopslinks shared a link, 5 months, 3 weeks ago
FAUN.dev()

The $1,000 AWS mistake

A missingVPC Gateway Endpointsent EC2-to-S3 traffic through aNAT Gateway, lighting up over$1,000in unnecessary data processing charges. All that for in-region traffic hitting an AWS service. Why? AWS defaulted the route to the NAT Gateway. It only takes the free S3 Gateway Endpoint if youtellit to. .. read more  

The $1,000 AWS mistake
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@devopslinks shared a link, 5 months, 3 weeks ago
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A Love Letter to FreeBSD

A Linux user takes FreeBSD for a spin - and comes away impressed. What stands out? Clean, deliberate engineering.Boot environmentsmake updates stress-free. The newpkgbasesystem adds modularity without chaos. And the OS treatsuptimenot just as a metric, but as a design goal. The essay makes a solid c.. read more  

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@devopslinks shared a link, 5 months, 3 weeks ago
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Terraform Workbook - Your Guide to Infra as Code (IaC)

This post outlines the various Terraform project files and their purposes, such as vars.tf for default variable declarations, terraform.tfvars for overriding default variable values, terraform.tf for tfstate backends and provider declarations, version.tf for Terraform version constraints, and .terra.. read more  

Terraform Workbook - Your Guide to Infra as Code (IaC)
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@kaptain shared an update, 5 months, 3 weeks ago
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Docker Desktop 4.50 Supercharges Daily Development With AI, Security, and Faster Workflows

Docker Docker Desktop Docker Compose Kubernetes

Docker Desktop 4.50 enhances software development with improved debugging, AI integration, and enterprise security features, streamlining workflows and boosting productivity.

Docker Desktop 4.50 Supercharges Daily Development With AI, Security, and Faster Workflows
News FAUN.dev() Team
@kala shared an update, 5 months, 3 weeks ago
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Guido van Rossum: “AI Should Adapt to Python - Not the Other Way Around”

Python TypeScript

Guido van Rossum discussed Python's enduring relevance in AI and education at GitHub's Octoverse, emphasizing its clarity, accessibility, and community-driven growth despite TypeScript's rise.

Guido van Rossum: “AI Should Adapt to Python - Not the Other Way Around”
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@shurup shared a post, 5 months, 3 weeks ago
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Kubernetes 1.35 new alpha features

Kubernetes

The next Kubernetes release, v1.35, is scheduled for December 17th. It should bring 15 new Alpha features, including the following ones: - Gang scheduling support - Mutable PersistentVolume node affinity - Restart all containers on container exits - Consider terminating Pods in Deployments - CSI vol..

Kubernetes v1.35 release
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@varbear shared an update, 5 months, 3 weeks ago
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NordPass: Worst Passwords of 2025 and How Each Generation Compares

NordPass's latest research reveals the ongoing global reliance on weak passwords like "123456" and "password," despite slight improvements in security practices.

NordPass: Worst Passwords of 2025 and How Each Generation Compares
News FAUN.dev() Team
@kaptain shared an update, 5 months, 3 weeks ago
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Kubernetes v1.35: A Deep Dive Into the Biggest Changes Before the December 17 Release

Kubernetes containerd

Kubernetes v1.35 release removes cgroup v1 and containerd v1.X support, urging admins to migrate to newer versions and adopt enhancements like in-place Pod updates and OCI image volume support.

Kubernetes v1.35: A Deep Dive Into the Biggest Changes Before the December 17 Release
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@devopslinks shared an update, 5 months, 3 weeks ago
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Researcher Scans 5.6M GitLab Repositories, Uncovers 17,000 Live Secrets and a Decade of Exposed Credentials

TruffleHog AWS Lambda GitLab GitLab CI/CD Atlassian Bitbucket

A security research project led by Luke Marshall scanned 5.6 million GitLab repositories, uncovering over 17,000 live secrets and earning $9,000 in bounties, highlighting GitLab's larger scale and higher exposure risk compared to Bitbucket.

Researcher Scans 5.6M GitLab Repositories, Uncovers 17,000 Live Secrets and a Decade of Exposed Credentials
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@devopslinks added a new tool TruffleHog , 5 months, 3 weeks ago.
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.