Updates and recent posts about Magika..

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@carlos_devops shared a post, 11 months, 3 weeks ago

Consultant, Independent

What is a recommended as a good alternative from JFrog for artifact management as an entrpise grade solution?

When thinking about enterprise-grade artifact management beyond JFrog Artifactory, how do other solutions measure up in terms of universal package support, scalability, security, and seamless DevOps integration?

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@laura_garcia shared a post, 11 months, 3 weeks ago

Software Developer, RELIANOID

📣 We're thrilled to see our solutions featured on TechBullion!

A big thank you to the TechBullion team for highlighting our work and helping spread the word about what we do. 🙌 🔗 https://www.relianoid.com/about-us/relianoid-related-articles/ #TechBullion#RELIANOID#CyberSecurity#LoadBalancing#Networking#Innovation#TechNews..

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@laura_garcia shared a post, 11 months, 3 weeks ago

Software Developer, RELIANOID

🚀 Our first time in Taiwan! DevOpsDays Taipei

📍 June 5–6 | Taipei, Taiwan We’re excited to join DevOpsDays Taipei 2025, Taiwan’s biggest DevOps event! Over 700 IT pros, engineers, and tech leaders will gather to dive into automation, CI/CD, observability, SRE, and DevOps culture. 👥 Meet the RELIANOID team on-site! Discover how we help DevOps te..

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@anjali shared a link, 11 months, 3 weeks ago

Customer Marketing Manager, Last9

Prometheus Alerting Examples for Developers

Know how to set up smarter Prometheus alerts from basic CPU checks to app-aware rules that reduce noise and catch real issues early.

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@anjali shared a link, 11 months, 3 weeks ago

Customer Marketing Manager, Last9

Jaeger vs Zipkin: Which is Right for Your Distributed Tracing

Compare Jaeger and Zipkin to find the best fit for your distributed tracing needs, infrastructure, and observability goals.

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@laura_garcia shared a post, 11 months, 3 weeks ago

Software Developer, RELIANOID

🔐 RELIANOID at Cyber Security Congress 2025 – Enabling a Secure Future

📍 June 4–5 | Santa Clara, California | Part of TechEx North America The future of cybersecurity demands smart, scalable solutions — and we’re ready to deliver. Join us at#CyberSecurityCongress, where RELIANOID will showcase advanced application delivery and threat protection technologies built for h..

Cyber Security Congress North America 2025

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@readdive shared a post, 11 months, 3 weeks ago

Founder, Read Dive

Snapchat and Generative AI: The Next Phase of Augmented Reality

Explore how Snapchat combines generative AI and augmented reality to transform digital creativity, user interaction, and storytelling in exciting new ways.

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@readdive shared a post, 11 months, 3 weeks ago

Founder, Read Dive

Ensuring Performance and Security: Testing Solutions for Crypto Mobile Apps

Ensure secure, high-performing crypto apps with expert solutions from mobile app testing companies. Learn key strategies and testing essentials.

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@faun shared a link, 11 months, 3 weeks ago

FAUN.dev()

Learn How to Build Smarter AI Agents with Microsoft’s MCP Resources Hub

Microsoft's MCPconnects AI models to the real world, sharpening their wits with real-time context and tools likeAzureandVS Code. Plunge into theMCP Resources Hubfor open-source guides and code to launch your AI agent adventure... read more

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@faun shared a link, 11 months, 3 weeks ago

FAUN.dev()

Why experts are split on how close artificial general intelligence really is?

AGI hoopla is surging, yet 75% of experts scoff at its so-called arrival, spotlighting AI's gaping shortcomings in human-like smarts.Sure, AI's zooming ahead, but when it comes to creativity, context, and tackling everyday tasks, it's still fumbling around like a toddler behind the wheel... read more

Magika is an open-source file type identification engine developed by Google that uses machine learning instead of traditional signature-based heuristics. Unlike classic tools such as file, which rely on magic bytes and handcrafted rules, Magika analyzes file content holistically using a trained model to infer the true file type.

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