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@eon01 shared a post, 4 months, 3 weeks ago
Founder, FAUN.dev

Announcing FAUN.sensei() — Self-paced guides to grow fast — 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, 4 months, 3 weeks ago
Software Developer, RELIANOID

🌟 𝗪𝗲’𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴! 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗧𝗲𝗮𝗺 🌟

Are you passionate about technology, networking, and innovation? At RELIANOID, we’re building cutting-edge solutions that power secure, scalable, and reliable infrastructures — and we’re looking for talented people to join us on this journey! 🚀 Whether you’re an experienced professional or just star..

careers RELIANOID hiring
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@arunsanna added a new tool AWS-Sage , 4 months, 3 weeks ago.
Story FAUN.dev() Team Trending
@eon01 shared a post, 4 months, 3 weeks 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 , 4 months, 3 weeks ago.
Course
@eon01 published a course, 4 months, 3 weeks ago
Founder, FAUN.dev

Helm in Practice

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 , 4 months, 3 weeks ago.
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@laura_garcia shared a post, 4 months, 3 weeks ago
Software Developer, RELIANOID

🚀 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝟳.𝟴.𝟬 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝗶𝘀 𝗼𝘂𝘁!

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

Community edition V7.8 release relianoid
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@viktoriiagolovtseva shared a post, 4 months, 3 weeks 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. 

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. 

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

Zrzut ekranu 2025-12-17 143647
Story
@laura_garcia shared a post, 4 months, 3 weeks ago
Software Developer, RELIANOID

🚀 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..

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Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.