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.
Updates and recent posts about Grafana Tempo.. 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’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.
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@devopslinks added a new tool BigQuery , 4 months, 3 weeks ago.
News FAUN.dev() Team
@devopslinks shared an update, 4 months, 3 weeks ago
FAUN.dev()
AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
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.
Activity
@devopslinks added a new tool ServiceNow , 4 months, 3 weeks ago.
Story
@laura_garcia shared a post, 4 months, 3 weeks ago
Software Developer, RELIANOID
The UK raises the bar on digital security
With cyberattacks on the rise, the Product Security and Telecommunications Infrastructure (PSTI) Act marks a major step toward making connected technology secure by design. In our latest article, we explain: What the PSTI Act requires Why it matters beyond consumer IoT How it signals a global sh..
Story Palark Team
@shurup shared a post, 4 months, 3 weeks ago
@palark
New CNCF Sandbox projects in 2025: From Podman to CloudNativePG
Each year, 25-30 new Open Source projects related to the Cloud Native ecosystem are accepted to the CNCF Sandbox. In January 2025, there were 13 additions, with four of them donated by Red Hat. Here's the list of these newly added CNCF projects: - Podman Container Tools (security-focused Docker alte..
Activity
@mjh gave 🐾 to Announcing FAUN.sensei() — Self-paced guides to grow fast — even when tech moves faster. , 4 months, 3 weeks ago.
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.
