Updates and recent posts about Google Kubernetes Engine (GKE)..

Posts
Description

Link

@devopslinks shared a link, 4 months, 2 weeks ago

FAUN.dev()

async dns

A developer went digging for safer async DNS incurlafterpthread_cancelstarted breaking things. Threadless, callback-free options took the spotlight.OpenBSD’sasrquickly stood out, clean event loop integration, no threads, no drama. Beat outc-areson portability and design clarity... read more

Link

@devopslinks shared a link, 4 months, 2 weeks ago

FAUN.dev()

How We Saved 70% of CPU and 60% of Memory in Refinery’s Go Code, No Rust Required.

Refinery 3.0 cuts CPU by 70% and slashes RAM by 60%. The trick: selective field extraction from serialized spans. No full deserialization. Fewer heap allocations. Way less waste. It also recycles buffers, handles metrics smarter, and is gearing up to parallelize its core decision loop... read more

News FAUN.dev() Team

@kaptain shared an update, 4 months, 2 weeks ago

FAUN.dev()

Docker Brings Production-Grade Hardened Images to Developers at No Cost

#Complia... #Docker ... #supply-... #Securit... #docker

Docker has launched Docker Hardened Images, a secure and minimal set of production-ready images. These images are now freely available to developers.

Docker Brings Production-Grade Hardened Images to Developers at No Cost

Link

@anjali shared a link, 4 months, 2 weeks ago

Customer Marketing Manager, Last9

OTel Updates: OpenTelemetry Deprecates Zipkin Exporters

OpenTelemetry deprecates Zipkin exporters in favor of native OTLP support. Migration paths and timeline through December 2026.

News FAUN.dev() Team

@kaptain shared an update, 4 months, 2 weeks ago

FAUN.dev()

Argo CD 3.2.2 Improves Secret Management, Retry Safety, and Auth Checks

#Securit... #gitops #argocd #Argo CD #kuberne...

ArgoCD v3.2.2 has been released, featuring a new addition, two enhancements, and a bug fix. This update aims to improve the overall functionality and reliability of the platform.

Argo CD 3.2.2 Improves Secret Management, Retry Safety, and Auth Checks

News FAUN.dev() Team

@devopslinks shared an update, 4 months, 2 weeks ago

FAUN.dev()

Rust Confirmed for Linux Kernel: Experiment Concludes Successfully

#Rust #linux #unix #Linux k... #The Rus...

The Rust experiment in the Linux kernel concludes, confirming its suitability and permanence in kernel development, with Rust now used in production and supported by major Linux distributions.

Rust Confirmed for Linux Kernel: Experiment Concludes Successfully

Course

@eon01 published a course, 4 months, 2 weeks ago

Founder, FAUN.dev

Generative AI For The Rest Of US

#AI #Generat... #LLM #Large L... #gpt

Your Future, Decoded

News FAUN.dev() Team

@kaptain shared an update, 4 months, 3 weeks ago

FAUN.dev()

Kubernetes v1.35 Timbernetes Release: 60 Enhancements

#k8s #Timbern... #cgroups #docker #kuberne...

Kubernetes v1.35, the Timbernetes Release, debuts with 60 enhancements, including stable in-place Pod updates and beta features for workload identity and certificate rotation.

Kubernetes v1.35 Timbernetes Release: 60 Enhancements

Activity

@kaptain added a new tool Kubernetes Gateway API , 4 months, 3 weeks ago.

News FAUN.dev() Team

@kala shared an update, 4 months, 3 weeks ago

FAUN.dev()

Google Releases Magika 1.0: AI File Detection in Rust

#Rust #Generat... #file ty... #Magika #AI

Google releases Magika 1.0, an AI file detection system rebuilt in Rust for improved performance and security.

Google Releases Magika 1.0: AI File Detection in Rust

Google Kubernetes Engine (GKE) offers a Kubernetes experience on Autopilot that manages the underlying compute infrastructure without the need for manual configuration or monitoring. It provides container-native networking and security features, prebuilt Kubernetes applications and templates, pod and cluster autoscaling, and automated tools for workload migration. GKE clusters consist of a control plane and nodes that run the services supporting the containers. Autopilot mode manages the complexity of the cluster while allowing you to deploy and run your apps easily. The common uses of GKE include continuous integration and delivery, migrating workloads, and deploying and running applications. GKE pricing is based on the mode of operation, cluster management fees, and applicable multi-cluster ingress fees, with a free tier and a pricing calculator available to estimate costs. You can also connect with Google's sales team to get a custom quote for your organization or start your proof of concept.