Google Breaks Kubernetes Limits Again: Inside the 130,000-Node GKE Cluster
Google successfully operates a 130,000-node Kubernetes cluster to enhance GKE's scalability for AI workloads.
Updates and recent posts about Magika..
News FAUN.dev() Team
@devopslinks shared an update, 4 weeks, 1 day ago
FAUN.dev()
Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet
A database permissions change led to a Cloudflare outage by creating an oversized feature file, causing network failures initially mistaken for a DDoS attack.
News FAUN.dev() Team
@devopslinks shared an update, 4 weeks, 1 day ago
FAUN.dev()
Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains
Valkey 9.0 debuts with atomic slot migrations, hash field expiration, and improved cluster mode support, enhancing data management and scalability.
Activity
@devopslinks added a new tool Valkey , 4 weeks, 1 day ago.
News FAUN.dev() Team Trending
@devopslinks shared an update, 4 weeks, 1 day ago
FAUN.dev()
Grafana 12.3 Lands With New Learning Tools, Better Logs, and a Critical Security Fix
Grafana 12.3 enhances user experience with interactive learning, improved logs visualization, and a critical security fix, alongside new features like dashboard image export and expanded data source support.
News FAUN.dev() Team
@kala shared an update, 4 weeks, 1 day ago
FAUN.dev()
Google Unveils Antigravity: An Agentic IDE Built for Autonomous Coding
Google introduces Antigravity, an AI-driven platform enhancing IDEs with autonomous coding capabilities, now in public preview.
Activity
@kala added a new tool Google Antigravity , 1 month ago.
News FAUN.dev() Team
@kala shared an update, 1 month ago
FAUN.dev()
Finally: AI Image Generation That Handles Text Correctly - Meet Nano Banana Pro
Google DeepMind introduces Nano Banana Pro, an advanced image generation and editing model, enhancing creative capabilities and available globally in the Gemini app.
Activity
@kala added a new tool Nano Banana Pro , 1 month 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
