OTel Updates: OpenTelemetry Deprecates Zipkin Exporters
OpenTelemetry deprecates Zipkin exporters in favor of native OTLP support. Migration paths and timeline through December 2026.
Updates and recent posts about Vertex AI.. Link
News FAUN.dev() Team
@kaptain shared an update, 6 months, 1 week ago
FAUN.dev()
Argo CD 3.2.2 Improves Secret Management, Retry Safety, and Auth Checks
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.
News FAUN.dev() Team
@devopslinks shared an update, 6 months, 1 week ago
FAUN.dev()
Rust Confirmed for Linux Kernel: Experiment Concludes Successfully
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.
Course
@eon01 published a course, 6 months, 1 week ago
Founder, FAUN.dev
News FAUN.dev() Team
@kaptain shared an update, 6 months, 1 week ago
FAUN.dev()
Kubernetes v1.35 Timbernetes Release: 60 Enhancements
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.
Activity
@kaptain added a new tool Kubernetes Gateway API , 6 months, 1 week ago.
News FAUN.dev() Team
@kala shared an update, 6 months, 1 week ago
FAUN.dev()
Google Releases Magika 1.0: AI File Detection in Rust
Google releases Magika 1.0, an AI file detection system rebuilt in Rust for improved performance and security.
News FAUN.dev() Team
@kala shared an update, 6 months, 1 week ago
FAUN.dev()
Google’s Cloud APIs Become Agent-Ready with Official MCP Support
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 , 6 months, 1 week ago.
Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.
The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.
Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.
