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Course
@eon01 published a course, 3ย weeks, 5ย days ago
Founder, FAUN.dev

GitOps the Hard Way, with Argo CD

#Helmย  #gitopsย  #Argo CDย  #gitlabย  #kuberne...ย 
Argo CD Kubernetes GitLab GitLab CI/CD Helm

Build Real GitOps Pipelines From Empty Clusters to Automated Deploys

GitOps the Hard Way, with Argo CD
Story
@laura_garcia shared a post, 3ย weeks, 6ย days ago
Software Developer, RELIANOID

๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—ฎ๐˜ ๐—Ÿ๐—ผ๐—ป๐—ฑ๐—ผ๐—ป ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ช๐—ฒ๐—ฒ๐—ธ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ

๐Ÿš€ ๐—๐—ผ๐—ถ๐—ป ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—ฎ๐˜ ๐—Ÿ๐—ผ๐—ป๐—ฑ๐—ผ๐—ป ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ช๐—ฒ๐—ฒ๐—ธ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿ“… June 8โ€“12, 2026 ๐Ÿ“ London, United Kingdom London Tech Week brings together innovators, enterprises, startups, investors, and technology leaders to explore the future of AI, cybersecurity, cloud infrastructure, digital transformation, and emerging technologi..

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@work4bots started using tool Azure Kubernetes Service (AKS) , 4ย weeks, 1ย day ago.
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@work4bots added a new tool Bicep , 4ย weeks, 1ย day ago.
Story FAUN.dev() Team
@eon01 shared a post, 4ย weeks, 1ย day ago
Founder, FAUN.dev

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

#red hat...ย  #ansibleย  #Towerย  #AWXย 
Ansible 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.

AWX in Action - Ansible Orchestration at Scale
Link
@varbear shared a link, 4ย weeks, 1ย day ago
FAUN.dev()

Design Patterns Are Dead. Long Live Design Patterns.

Design patterns were created for human comprehension, not machines, serving as a shared vocabulary to communicate complex ideas quickly, manage working memory, and standardize solutions. Even in the era of AI-generated code, design patterns are crucial for containing the limitations of AI models and.. read more ย 

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