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@eon01 shared a post, 1ย month ago
Founder, FAUN.dev

Announcing FAUN.sensei() โ€” Self-paced guides to grow fast โ€” even when tech moves faster.

Docker GitLab CI/CD Helm Kubernetes GitHub Copilot

After months of hard work, FAUN.sensei() is finally alive!

FAUN.sensei()
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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐ŸŒŸ ๐—ช๐—ฒโ€™๐—ฟ๐—ฒ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด! ๐—๐—ผ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—ง๐—ฒ๐—ฎ๐—บ ๐ŸŒŸ

Are you passionate about technology, networking, and innovation? At RELIANOID, weโ€™re building cutting-edge solutions that power secure, scalable, and reliable infrastructures โ€” and weโ€™re looking for talented people to join us on this journey! ๐Ÿš€ Whether youโ€™re an experienced professional or just star..

careers RELIANOID hiring
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@arunsanna added a new tool AWS-Sage , 1ย month ago.
Story FAUN.dev() Team Trending
@eon01 shared a post, 1ย month ago
Founder, FAUN.dev

Helm Cheat Sheet: Everything You Need to Know to Start Using Helm

Helm Kubernetes

Helm is the package manager Kubernetes was missing. It lets you package applications and their dependencies into charts, deploy them as versioned releases, and manage installs, upgrades, and rollbacks in a consistent and repeatable way. This post walks through what Helm is, how to install it, and the core commands you will use day to day.

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@varbear added a new tool Git , 1ย month ago.
Course
@eon01 published a course, 1ย month ago
Founder, FAUN.dev

Helm in Practice

#Helmย 
Helm Argo CD Docker k3s Harbor Kubernetes

Designing, Deploying, and Operating Kubernetes Applications at Scale

Helm in Practice
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@zeno added a new tool Sigstore , 1ย month ago.
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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐Ÿš€ ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐Ÿณ.๐Ÿด.๐Ÿฌ ๐—–๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐˜๐˜† ๐—˜๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐˜€ ๐—ผ๐˜‚๐˜!

This new release brings a modern foundation and powerful cloud automation to the open-source community: ๐Ÿ”น Debian Bookworm 12.12 ๐Ÿ”น Major upgrade support ๐Ÿ”น Automated cloud deployments on AWS, Azure & GCP ๐Ÿ”น Terraform-based Infrastructure as Code ๐Ÿ”น Improved Web UI usability and responsiveness Designed t..

Community edition V7.8 release relianoid
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@viktoriiagolovtseva shared a post, 1ย month ago

A Ready-to-Use Business Travel Template For Jira

For many of us, even planning a personal trip can be a daunting task. Missing one detail when booking a flight or hotel can lead to a disaster. The challenge becomes even greater when you need to organize a business trip for others, especially for large events where many people travel simultaneously.ย 

Additionally, business travel often requires multiple approvals and cross-team collaboration. You will need a solution to keep everyone on the same page and easily track every detail. A business travel template for Jira is an ideal way to solve this challenge.ย 

In this blog post, we share a ready-to-use template and explain how to use it.

Zrzut ekranu 2025-12-17 143647
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@laura_garcia shared a post, 1ย month ago
Software Developer, RELIANOID

๐Ÿš€ AI is redefining Site Reliability Engineering (SRE)

What started as ensuring web apps were fast and resilient has now entered a new era: AI Reliability Engineering. Inference workloads demand speed, trust, and observability far beyond traditional infrastructure challenges. In our latest blog, we explore: Why unreliable AI is worse than no AI at all H..

relianoid_blog_documentation
DeepSeekMath-V2 is a state-of-the-art mathematical reasoning model built on the DeepSeek-V3.2-Exp-Base architecture with 685 billion parameters. Unlike conventional math-focused language models that optimize only for correct final answers, DeepSeekMath-V2 introduces a self-verification framework where the model generates, inspects, and validates its own mathematical proofs.

This approach enables rigorous, step-by-step reasoning suitable for theorem proving, scientific research, and domains requiring high-integrity logic. The model is trained through a generation-verification loop involving a dedicated LLM-based verifier and reinforcement learning optimized for proof correctness rather than answer matching.

DeepSeekMath-V2 achieves gold-level scores on IMO 2025 and CMO 2024, along with a groundbreaking 118/120 on the Putnam 2024 contest. Released under the Apache 2.0 license and hosted on Hugging Face, it is fully open source for research and commercial use.