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varbear
@varbear shared an update, 3 weeks, 6 days ago
FAUN.dev()

New MCP Release v0.10.0 Supercharges AI-Assisted Web Development

#AI codi...  #Model C...  #perform...  #Debuggi...  #Chrome ... 
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
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varbear
@varbear added a new tool chrome-devtools-mcp , 3 weeks, 6 days ago.
News FAUN.dev() Team Trending
varbear
@varbear shared an update, 3 weeks, 6 days ago
FAUN.dev()

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

#aws  #Python ...  #Lambda@...  #AWS Lam... 
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
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News FAUN.dev() Team
kaptain
@kaptain shared an update, 3 weeks, 6 days ago
FAUN.dev()

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

#kubecon  #PETAFLO...  #LattePa...  #nvidia  #kuberne... 
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
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kaptain
@kaptain added a new tool Talos Linux , 3 weeks, 6 days ago.
News FAUN.dev() Team Trending
kaptain
@kaptain shared an update, 3 weeks, 6 days ago
FAUN.dev()

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

#GKE  #Google ...  #Google  #AI  #kuberne... 
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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kaptain
@kaptain added a new tool kueue , 3 weeks, 6 days ago.
News FAUN.dev() Team
devopslinks
@devopslinks shared an update, 3 weeks, 6 days ago
FAUN.dev()

Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet

#Feature...  #DDoS  #Postmor...  #cloudfl...  #outage 
Cloudflare Cloudflare Workers

A database permissions change led to a Cloudflare outage by creating an oversized feature file, causing network failures initially mistaken for a DDoS attack.

Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet
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News FAUN.dev() Team
devopslinks
@devopslinks shared an update, 3 weeks, 6 days ago
FAUN.dev()

Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains

#scalabi...  #Valkey  #Valkey ...  #Redis  #open so... 
Valkey

Valkey 9.0 debuts with atomic slot migrations, hash field expiration, and improved cluster mode support, enhancing data management and scalability.

Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains
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devopslinks
@devopslinks added a new tool Valkey , 3 weeks, 6 days ago.
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.