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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

What is Load Balancing in DigitalOcean? ⚖️

A quick 3-minute read on how traffic is distributed across Droplets to improve performance, scalability, and availability—and how RELIANOID enhances it with advanced monitoring, security, and flexibility. 👉 Smart traffic distribution. High availability. Seamless scaling. #LoadBalancing#DigitalOcean#..

Knowledge base Load Balancing in DigitalOcean  RELIANOID
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@viktoriiagolovtseva shared a post, 1 month ago

Jira Action Items Functionality

Jira Action Items are a new feature introduced in Jira to help teams track small tasks inside a work item (issue) without needing to create subtasks. Instead of breaking out additional tickets for quick to-dos or follow-ups, you can now add lightweight checklists directly into rich text fields like ..

Zrzut ekranu 2026-01-02 152946
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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

What is AWS (Amazon Web Services)?

AWS is a global public cloud platform that lets you run compute, storage, networking, databases, and more on demand, pay-as-you-go, and at scale across multiple Regions and Availability Zones. 👉 Build resilient architectures 👉 Automate everything with APIs & IaC 👉 Scale securely and globally in minu..

Knowledge base Why Deploy RELIANOID Load Balancer on AWS
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@viktoriiagolovtseva shared a post, 1 month ago

Vendor Payment Template for Jira

Vendor Payments Take Too Much Time And There Is a Way Out of the Vicious Cycle

Zrzut ekranu 2026-01-02 142203
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