Arun Vishwakarma’s account connects app development, Linux administration, Kubernetes practice, and deployment into one beginner-oriented Cloud and DevOps learning path. Its central method is “Learn → Implement → Test → Document → Improve”: build practical projects, record what happens, and use that experience to guide the next iteration. The projects are described by their author, not independently audited.
What this Cloud and DevOps journey covers
The DEV Community post presents a learner’s progress through hands-on projects rather than a product review or a comparison of training routes. Its strands include a Flutter and Firebase application, Ubuntu/WSL infrastructure labs, Kubernetes practice using Minikube and Docker Desktop, and workflows for version control, builds, and deployment.
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The connection between them is the working cycle Arun Vishwakarma describes: “Learn → Implement → Test → Document → Improve.” In practical terms, a concept becomes a project, the project gets tested and recorded, and the notes and results inform subsequent changes.
Cloud Guard: a Flutter and Firebase security app
Vishwakarma describes Cloud Guard as an actively developed application for web and Android, built with Flutter and Firebase. The post lists authentication through Firebase Authentication and Google Sign-In, account-security information, a security checklist, and activity tracking.
#1 Best Overall
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Its listed app and file-management features include:
- PIN-based app lock, Android biometric support, and auto-lock controls.
- Local file security scanning, file-type mismatch detection, and detection of suspicious or dangerous files.
- Security reports and file-integrity checking.
- A secure file locker with a separate PIN and permanent local storage; the author says PIN reset uses Firebase account verification.
- A video-link player and Android update notifications.
These are feature claims in the author’s post, not independently validated security findings. A feature list alone does not establish how well an app detects threats, protects stored data, or handles account recovery.
Linux infrastructure practice in Ubuntu and WSL
The post describes Ubuntu/WSL-based lab work in two areas: backup and disk-space automation, and administration of an Nginx server. These exercises put routine operational tasks into scripts and service-management practice.
Rank #2
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- 【8GB DDR4 RAM & 256GB NVMe SSD Storage】 Installed with high-speed 8GB DDR4 dual-channel memory and a fast 256GB M.2 2280 SSD, eliminating slow boot times and application loading delays. To accommodate growing data requirements, the upgradeable hardware design features dual SODIMM slots that allow you to expand memory up to 64GB RAM, ensuring smooth operation during heavy multitasking.
- 【High-Capacity Dual M.2 SSD Storage Expansion】 Never worry about running out of space for your business files. In addition to the pre-installed 256GB system drive, the motherboard houses an extra empty internal M.2 2280 NVMe PCIe 3.0 slot. This allows you to easily add a second solid-state drive for up to an additional 2TB of storage capacity (upgrades not included) without needing to remove or reinstall the original operating system.
- 【Radeon 6-Core Graphics & Triple 4K Displays】 Integrated with official AMD Radeon Graphics (6 Graphics Cores, 1500 MHz frequency) for casual gaming, photo editing, and crisp 4K media decoding. Featuring 1x HDMI 2.0 port, 1x DisplayPort, and 1x Full-Function Type-C port, the E5 outputs true 4K@60Hz resolution to three monitors at once. This multi-screen setup eliminates constant window-switching for traders, programmers, and office workers.
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Automated server backups
The backup project covers timestamped archives, disk-space monitoring, threshold-based cleanup, backup validation, safe handling of source and destination paths, and synchronization with GitHub. Together, these tasks span creating a backup, checking that it is usable, managing storage pressure, and keeping project work under version control.
Nginx deployment and operations
The Nginx project includes deployment, systemd service management, firewall configuration, HTTPS/TLS setup in a lab, and HTTP-to-HTTPS redirection. The author also lists log rotation and compression, basic monitoring, and Bash alert scripts. The post describes practice areas; it does not publish performance measurements or establish production readiness.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How Kubernetes fits into the practice
Vishwakarma says he practices Kubernetes with Minikube and Docker Desktop, using practical commands and deployments. The post does not identify specific workloads, manifests, cluster configurations, or measured outcomes, so it supports a description of the learning approach—not a claim about particular Kubernetes capabilities achieved.
Rank #3
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- 【Radeon 780M Graphics for Media and Light Gaming】Equipped with integrated Radeon 780M graphics, this mini gaming pc supports smooth 4K video playback and handles many popular games at adjusted settings. A practical mini computer for media, editing, and casual gaming.
- 【Mini PC 16GB RAM and Fast Storage】This mini pc 16gb ram configuration includes single 16GB DDR5 memory (4800MHz，3GB is assigned to VRAM by default) and a 1TB NVMe SSD, offering quick boot times and responsive system performance. Dual M.2 slots allow storage expansion up to 4TB for growing files and projects.
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From projects to a reusable command reference
The author reports completing a web-based DevOps cheat sheet with search functionality. It is described as covering Linux, Git, Docker, Kubernetes, and DevOps commands, with 210+ practical commands and 16+ categories — Arun Vishwakarma, 2026. These are author-reported counts, not independently audited totals.
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That reference sits alongside the broader workflow in the post: Git and GitHub for version control, project documentation and release management, Flutter web deployment, and Android build and release work. The stated sequence is development, testing, version control, build, and deployment.
What readers can take from the approach
The account offers a useful model for a Cloud Engineering and DevOps learner and practitioner: connect app work with infrastructure practice, and treat documentation and iteration as part of the work rather than an afterthought. The projects show different kinds of practice—application development, Linux administration, and local Kubernetes exercises—without claiming that one is a substitute for another or that any single route is superior.
For readers following a similar path, the most concrete takeaway is to make each exercise observable and repeatable: keep the work in version control, record what was configured and tested, and distinguish a lab result from a production guarantee. That keeps project learning useful even when the next project changes tools or scope.
Quick Recap
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