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@secuodsoft started using tool Python , 1 week ago.

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@secuodsoft started using tool PHP , 1 week ago.

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@secuodsoft started using tool Node.js , 1 week ago.

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@secuodsoft started using tool MongoDB , 1 week ago.

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@secuodsoft started using tool Java , 1 week ago.

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@secuodsoft created an organization Secuodsoft , 1 week ago.

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@laura_garcia shared a post, 1 week, 1 day ago

Software Developer, RELIANOID

𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝟴.𝟱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲!

- 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝟴.𝟱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲! This release represents a major step forward in 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝘀𝘆𝘀𝘁𝗲𝗺 𝗶𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆, 𝗮𝗻𝗱 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆. - 𝗨𝗘𝗙𝗜 𝗦𝗲𝗰𝘂𝗿𝗲 𝗕𝗼𝗼𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 – cryptographic verification of the boot chain - 𝗗𝗲𝗯𝗶𝗮𝗻 𝗕𝗼𝗼𝗸𝘄𝗼𝗿𝗺 𝟭𝟮.𝟭𝟯 𝗯𝗮𝘀𝗲 + 𝗞𝗲𝗿𝗻𝗲𝗹 𝟲.𝟭.𝟭𝟱𝟵-𝟭-𝗻𝗼𝗶𝗱𝟬 - 𝗛𝗦𝗧𝗦..

relianoid_enterprise_edition_8.5_release

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@viktoriiagolovtseva shared a post, 1 week, 1 day ago

A Git and Jira Integration Guide: How to Connect GitHub, GitLab, and Bitbucket to Jira Cloud

If you ask a developer, product manager, and QA “why integrate your Git repository with Jira,” they will all give different answers. Some like it for reducing context switching and providing automation options, while others value the transparency and improved traceability. But no matter who you ask, everyone is unanimous: this integration is immensely useful for the teams.

In this article, we focus on the most popular Git applications: GitHub, GitLab, and Bitbucket. We explain how to connect them to Jira Cloud and provide you with practical tips on making the most out of this integration. You will learn how to use smart commits, leverage automation, and gain extra value from third-party apps.

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@ashwinisdave shared a post, 1 week, 1 day ago

Developer advocate, Middleware

From Metrics to Meaning: Building Context-Aware Dashboards That Actually Help Debug Production Issues

#DevOps #AI Dash... #observa... #log mon...

Most dashboards show what's happening but not why it matters. Learn how to build context-aware dashboards that actually help engineers debug production issues faster.

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@maydali28 started using tool Terraform , 1 week, 1 day ago.

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