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@faun shared a link, 1 year, 2 months ago
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Headlamp Project to Provide Graphical User Interface for Kubernetes

Microsoft'sHeadlamp—now part of theCNCF family—wants to shred Kubernetes' intimidating reputation. Think Windows, but for clusters. Their plan? Hook 10 million fresh recruits with their slickGUI. Here's the kicker: 61% of workloads already bow to Kubernetes, andAI/MLworkloads rule 56% of them. Who k.. read more  

Headlamp Project to Provide Graphical User Interface for Kubernetes
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@faun shared a link, 1 year, 2 months ago
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Mastering Complex Workloads with Kubernetes JobSet and GKE metrics

Kubernetesjust dropped a bombshell:JobSet. Managing tangled batch workloads? Now it's all a numbers game for the pros. Think of it as a maestro marshaling a wild orchestra of Jobs into harmony. But wait, there's more. From GKE 1.32.1 onward, they’ve slipped in automatic rollup metrics. No extra fees.. read more  

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@faun shared a link, 1 year, 2 months ago
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Running Docker Containers on Kubernetes Without a Container Runtime Using WasmEdge

WasmEdgedoesn't just compete with old-school OCI runtimes—it obliterates them with lightning-fast startups. It takes a chainsaw to resource waste and security headaches, thanks to its ironclad sandboxing. Its cross-platform magic dances acrossx86, ARM, and RISC-Vwith zero configuration drama. A drea.. read more  

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@faun shared a link, 1 year, 2 months ago
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Platformless: How Choreo Built a Secure Kubernetes Platform with GitOps

Choreo by WSO2dreams big, plotting to eclipse Kubernetes. It's not just any platform; it's anenterprise-grade Internal Developer Platformwrapped in an elegant UI. Think of it as a tech ballerina effortlessly twirling around more than 20 CNCF tools. The goal? Make code deployment child's play while b.. read more  

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

How to Calculate Productivity in Jira: A Comprehensive Guide

Struggling to measure your team’s performance in Jira? Discover how to turn raw data into actionable productivity insights!

Screenshot 2025-04-04 at 14.39.16
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@anjali shared a link, 1 year, 2 months ago
Customer Marketing Manager, Last9

The Role of Log Shippers in Your Stack

Log shippers quietly move logs to where they’re needed—making debugging, monitoring, and observability possible without the chaos.

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

The Ultimate Guide to Ubuntu Performance Monitoring

A practical guide to monitoring performance on Ubuntu—tools, tips, and commands to keep your system running efficiently.

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

API Latency: Definition, Measurement, and Optimization Techniques

Learn what API latency really means, how to measure it the right way, and practical ways to make your APIs respond faster.

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

🌐 Understanding the Five Eyes Coalition and Embracing Secure Innovation 🔒

The Five Eyes (FVEY) Coalition, an alliance of the US, UK, Canada, Australia, and New Zealand, has been a cornerstone of global intelligence sharing since WWII. Over the decades, its mission has evolved to address modern challenges like cybersecurity, critical infrastructure protection, and counteri..

The Five Eyes Coalition_ Origins, Evolution, and Principles of Secure Innovation Solutions
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@laura_garcia shared a post, 1 year, 2 months ago
Software Developer, RELIANOID

🚀 We’re heading to QCon London 2025! 🚀

From April 7th to 10th, RELIANOID will be joining some of the brightest minds in software development at QCon London, where pioneers and senior engineers share the latest trends, best practices, and real-world case studies. 🔹 What to Expect at QCon London? ✅ Emerging trends in software architecture,..

qcon london 2025
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