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News FAUN.dev() Team
@kaptain shared an update, 3 hours ago
FAUN.dev()

Kubernetes v1.35 Timbernetes Release: 60 Enhancements

Kubernetes Kubernetes Gateway API

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 , 3 hours, 21 minutes ago.
News FAUN.dev() Team
@kala shared an update, 4 hours ago
FAUN.dev()

Google Releases Magika 1.0: AI File Detection in Rust

Rust Magika

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
 Activity
@kala added a new tool Magika , 4 hours, 3 minutes ago.
News FAUN.dev() Team
@kala shared an update, 4 hours ago
FAUN.dev()

Google’s Cloud APIs Become Agent-Ready with Official MCP Support

Apigee Google Cloud Platform Google Kubernetes Engine (GKE) BigQuery

Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.

 Activity
@devopslinks added a new tool BigQuery , 4 hours, 42 minutes ago.
News FAUN.dev() Team
@devopslinks shared an update, 5 hours ago
FAUN.dev()

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments

Amazon Web Services Amazon CloudWatch Datadog Dynatrace New Relic

AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.

AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
 Activity
@devopslinks added a new tool ServiceNow , 5 hours, 17 minutes ago.
 Activity
@cmndrsp0ck started using tool Terraform , 8 hours, 36 minutes ago.
 Activity
@cmndrsp0ck started using tool Ansible , 8 hours, 36 minutes ago.
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.