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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

Debug Logging: A Comprehensive Guide for Developers

A clear guide to debug logging—what it is, how to use it well, and why it matters when you're trying to understand what your code is doing.

Debug Logging_ A Comprehensive Guide for Developers
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@shurup shared a post, 1 year, 2 months ago
@palark

Nelm, a new alternative to Helm, is GA

werf

werf, a CNCF Sandbox project, announced Nelm as a new tool for deploying Helm charts.

Nelm project
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@laura_garcia shared a post, 1 year, 2 months ago
Software Developer, RELIANOID

GTS 2025 - here we go

🚀 RELIANOID is heading to Atlanta, Georgia for the Georgia Technology Summit 2025 on April 16th! We’re thrilled to be part of this premier event hosted by the Technology Association of Georgia (TAG)—a day dedicated to innovation, collaboration, and the future of tech. 💡🌐 With 1,200+ tech and busines..

Georgia_Technology_Summit_RELIANOID 2025
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@viktoriiagolovtseva shared a post, 1 year, 2 months ago

Difference between Agile and Scrum

Agile is a methodology that helps teams build products through iterative development, continuous feedback, and adaptability. Scrum is a framework within Agile that provides a structured way to manage work using fixed-length iterations called sprints.

difference-between-Agile-and-Scrum
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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

How to Use Prometheus for APM

Learn how to turn Prometheus into a powerful APM tool—track app performance, reduce guesswork, and get real visibility into your systems.

prometheus
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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

Logstash Grok Examples: A Detailed Guide to Pattern Matching

Learn how to use Logstash Grok with simple examples. Match and parse logs easily using patterns that are easy to understand.

grok
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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

HAProxy vs NGINX Performance: A Comprehensive Analysis

Compare HAProxy and NGINX performance with real-world insights. Find out which one handles traffic, load, and speed better for your setup.

ngnix-monitoring
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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

Regex Optimization Techniques: 14 Methods for DevOps Performance

A practical guide to writing better regex—cleaner, faster patterns that won’t trip up your logs, scripts, or search tools.

regex
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@laura_garcia shared a post, 1 year, 2 months ago
Software Developer, RELIANOID

🚀 Stay Ahead in the ADC Game!

Have you seen our latest RELIANOID Quarterly Newsletter? It’s packed with product updates, expert insights, event highlights, and tips to optimize your infrastructure. If you're working in IT, cybersecurity, or cloud infrastructure — this is a must-read. 🔔 Don’t miss the next one — subscribe now and..

Subscribe to our Newsletter RELIANOID
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@laura_garcia shared a post, 1 year, 2 months ago
Software Developer, RELIANOID

🎉 We’ve just passed 1,400 followers on LinkedIn! 🎉

A big THANK YOU to everyone who’s been part of our journey so far. At RELIANOID, we’re committed to building secure, high-performance solutions for load balancing, proxying, and cybersecurity — and we love sharing our work with you. 👉 Join our growing community on LinkedIn: https://www.linkedin.co..

more than 1400 followers on LinkedIn RELIANOID
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