Updates and recent posts about Magika..

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@radhika_rv16 shared a link, 6 days, 18 hours ago

SRE, Writer

Platform Engineering: From Bash Scripts to AI-Powered Platforms — and What Comes Next

I once got a Slack message at 11pm: "hey, prod seems slow?" No runbook. No alert. Just me, SSH'd into a box, squinting at top output. That was platform engineering. Here's how far we've come — and where AI is taking us next.

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@eon01 published a course, 6 days, 18 hours ago

Founder, FAUN.dev

GitOps the Hard Way, with Argo CD

#Helm #gitops #Argo CD #gitlab #kuberne...

Build Real GitOps Pipelines From Empty Clusters to Automated Deploys

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@laura_garcia shared a post, 1 week ago

Software Developer, RELIANOID

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@work4bots started using tool Spring , 1 week, 2 days ago.

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@work4bots started using tool Helm , 1 week, 2 days ago.

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@work4bots started using tool Azure Pipelines , 1 week, 2 days ago.

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@work4bots started using tool Azure Kubernetes Service (AKS) , 1 week, 2 days ago.

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@work4bots started using tool Azure , 1 week, 2 days ago.

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@work4bots added a new tool Bicep , 1 week, 2 days ago.

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@eon01 shared a post, 1 week, 2 days ago

Founder, FAUN.dev

AWX in Action is out, and there's a course

#red hat... #ansible #Tower #AWX

"AWX in Action: Ansible Orchestration at Scale" is now available in print and ebook. It covers running AWX on Kubernetes for real, not a sandbox demo that falls over the moment you add a second execution node.

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