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@kaptain shared an update, 5 months, 2 weeks ago
FAUN.dev()

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, 2 weeks ago
FAUN.dev()

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
News
@devopslinks shared an update, 5 months, 2 weeks ago
FAUN.dev()

AWS Optimizer Targets Unused NAT Gateways for Cost Savings

Amazon CloudWatch Amazon Web Services

AWS Compute Optimizer now helps identify unused NAT Gateways to boost cost savings by analyzing traffic activity and route table associations.

AWS Optimizer Targets Unused NAT Gateways for Cost Savings
News
@devopslinks shared an update, 5 months, 2 weeks ago
FAUN.dev()

GitLab Uncovers Massive npm Attack - Developers on High Alert

npm Amazon Web Services GitLab GitHub

GitLab's team discovers a large-scale npm supply chain attack with malware that spreads through npm packages, threatening data destruction if disrupted.

GitLab Uncovers Massive npm Attack - Developers on High Alert
News
@kala shared an update, 5 months, 2 weeks ago
FAUN.dev()

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests

DeepSeekMath-V2

DeepSeekMath-V2, an AI model with 685 billion parameters, excels in mathematical reasoning and achieves top scores in major competitions, now available open source for research and commercial use.

DeepSeekMath-V2 Launches with 685B Parameters - Dominates Math Contests
News
@kala shared an update, 5 months, 2 weeks ago
FAUN.dev()

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight

Ansible Lustre Slurm INTELLECT-3

INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
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@varbear shared an update, 5 months, 3 weeks ago
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New MCP Release v0.10.0 Supercharges AI-Assisted Web Development

chrome-devtools-mcp

Chrome DevTools MCP v0.10.0 unlocks deeper AI-powered debugging with new tools for DOM access, network request detection, page reload automation, performance insights, and snapshot saving.

Google Launches Chrome DevTools MCP Server Preview for AI-Driven Web Debugging
News
@varbear shared an update, 5 months, 3 weeks ago
FAUN.dev()

AWS Lambda Gets Python 3.14: Faster, Smarter, and More Serverless-Friendly

AWS Lambda

Python 3.14 is now available in AWS Lambda, enabling developers to leverage new Python features for serverless applications.

AWS Lambda Gets Python 3.14: Faster, Smarter, and More Serverless-Friendly
News
@kaptain shared an update, 5 months, 3 weeks ago
FAUN.dev()

The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025

Kubernetes Talos Linux

Engineer Justin Garrison showcased a backpack-sized PETAFLOP Kubernetes cluster at KubeCon 2025, demonstrating localized AI capabilities without cloud reliance.

The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025
News
@kaptain shared an update, 5 months, 3 weeks ago
FAUN.dev()

Google Breaks Kubernetes Limits Again: Inside the 130,000-Node GKE Cluster

Google Kubernetes Engine (GKE) kueue

Google successfully operates a 130,000-node Kubernetes cluster to enhance GKE's scalability for AI workloads.

Control plane throughput: Sustaining up to 1,000 operations per second for both Pod creation and Pod binding during intense scheduling phases.
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