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News FAUN.dev() Team
@kaptain shared an update, 2 months, 2 weeks ago
FAUN.dev()

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

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, 2 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.

depreciating_zipkin
News FAUN.dev() Team
@kaptain shared an update, 2 months, 2 weeks ago
FAUN.dev()

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

Kubernetes Argo CD

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, 2 months, 2 weeks ago
FAUN.dev()

Rust Confirmed for Linux Kernel: Experiment Concludes Successfully

Rust GNU/Linux The Linux Kernel UNIX

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, 2 months, 2 weeks ago
Founder, FAUN.dev

Generative AI For The Rest Of US

ChatGPT GPT

Your Future, Decoded

Generative AI For The Rest Of US
News FAUN.dev() Team
@kaptain shared an update, 2 months, 2 weeks ago
FAUN.dev()

Kubernetes v1.35 Timbernetes Release: 60 Enhancements

Kubernetes Gateway API Kubernetes

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 , 2 months, 2 weeks ago.
News FAUN.dev() Team
@kala shared an update, 2 months, 2 weeks 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 , 2 months, 2 weeks ago.
News FAUN.dev() Team
@kala shared an update, 2 months, 2 weeks 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.

Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storage—such as S3, GCS, or Azure Blob Storage—to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.