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News FAUN.dev() Team Trending
@kaptain shared an update, 2 weeks, 4 days 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
News FAUN.dev() Team Trending
@devopslinks shared an update, 2 weeks, 4 days ago
FAUN.dev()

Researcher Scans 5.6M GitLab Repositories, Uncovers 17,000 Live Secrets and a Decade of Exposed Credentials

Atlassian Bitbucket GitLab CI/CD GitLab AWS Lambda TruffleHog

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 , 2 weeks, 4 days ago.
News FAUN.dev() Team Trending
@devopslinks shared an update, 2 weeks, 4 days ago
FAUN.dev()

AWS Optimizer Targets Unused NAT Gateways for Cost Savings

Amazon Web Services Amazon CloudWatch

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 FAUN.dev() Team Trending
@devopslinks shared an update, 2 weeks, 4 days ago
FAUN.dev()

GitLab Uncovers Massive npm Attack - Developers on High Alert

Amazon Web Services GitLab GitHub npm

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
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@varbear added a new tool npm , 2 weeks, 4 days ago.
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@devopslinks added a new tool GitHub , 2 weeks, 4 days ago.
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@laura_garcia shared a post, 2 weeks, 4 days ago
Software Developer, RELIANOID

𝘐𝘯 𝘤𝘢𝘴𝘦 𝘺𝘰𝘶 𝘮𝘪𝘴𝘴𝘦𝘥 𝘪𝘵: Europe’s skies disrupted

Cyberattack on Collins Aerospace’s MUSE platform We shared this analysis a few months ago, but given the relevance of the topic and the growing impact of cyberattacks on critical infrastructure, it’s definitely worth resurfacing. The incident forced major airports like Heathrow, Brussels, and Berlin..

News FAUN.dev() Team Trending
@kala shared an update, 2 weeks, 4 days 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
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@anjali shared a link, 2 weeks, 4 days ago
Customer Marketing Manager, Last9

9 Monitoring Tools That Deliver AI-Native Anomaly Detection

A technical guide comparing nine observability platforms built to detect anomalies and support modern AI-driven workflows.

anamoly_detection
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.