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.
Updates and recent posts about Magika..
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Activity
@kaptain added a new tool Kubernetes Gateway API , 3 hours, 9 minutes ago.
News FAUN.dev() Team
@kala shared an update, 3 hours 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, 4 hours 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 , 4 hours, 30 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
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 , 5 hours, 5 minutes ago.
Activity
@cmndrsp0ck started using tool Terraform , 8 hours, 24 minutes ago.
Activity
@cmndrsp0ck started using tool Ansible , 8 hours, 24 minutes ago.
It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.
Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.
Magika is commonly used in scenarios such as:
- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response
