SShortSingh.
Back to feed

Running Go on ARM Cloud Instances Can Cut Costs by Around 20%

0
·1 views

ARM processors, used in chips like Apple's M-series, Qualcomm Snapdragon, and AWS Graviton, differ from x86 architectures by prioritizing energy efficiency over raw compute power. Developers using Go can target ARM64 by setting the GOARCH=arm64 flag during compilation, along with choosing a compatible Linux base image in their Dockerfiles. Cloud providers including AWS, Google Cloud, and Azure offer ARM-based instances that tend to be priced lower than their x86 counterparts. Based on an estimated 730 hours of monthly usage, switching to ARM instances yields approximately 20% cost savings on average. Actual savings may vary depending on the specific application workload and cloud provider pricing variables.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

AI Generates Code Fast, But Developers Must Master Abstraction and Design

The rapid advancement of AI coding tools like GPT 5.1 and Claude Opus 4.5 has enabled developers to generate production-ready code within minutes, raising questions about what skills remain essential. While AI accelerates building, many developers report feeling less in control since they are no longer writing or fully understanding every line of code. Experts and practitioners suggest reframing AI-generated code as a higher level of abstraction, similar to how scripting languages like Python once challenged traditional programming norms. Rather than focusing on syntax alone, developers are encouraged to prioritize skills such as problem decomposition, interface design, data modeling, and trade-off evaluation to effectively supervise AI output. The consensus is that understanding system structure, module boundaries, and risk management matters more than line-by-line familiarity in an AI-assisted development environment.

0
ProgrammingDEV Community ·

Developer Finds AI Coding Tools Cut Project Time but Warns Against Trusting Code Alone

A developer built two projects using different versions of OpenAI's GPT models — EngHub in roughly a year and AlbumMap in about two months — and noticed a significant difference in workflow efficiency. He attributes the faster timeline partly to GPT-5.5 feeling more capable, but also acknowledges that prior experience, project scope, and differing requirements played major roles. Rather than claiming a simple speed multiplier, he argues the more meaningful takeaway is that AI tools are narrowing the gap between an idea and a working product. However, he cautions that evaluating AI coding assistants solely on generated code quality can be misleading, since visually functional UI can still produce incorrect end-to-end behaviour. He emphasises that testing real product outcomes — such as whether approved content appears in a final video export — matters far more than whether the code looks clean.

0
ProgrammingDEV Community ·

Browser-Based Developer Utilities Offer Quick Fixes Without App Installs

Developers frequently encounter small repetitive tasks like formatting JSON or parsing URLs that are too minor to warrant installing dedicated software. Browser-based tools address this gap by being instantly accessible without any setup. A developer has built Orbilyra, a free collection of browser-based utilities designed for everyday developer tasks. One of its featured tools is a JSON Formatter, available directly in the browser at orbilyra.com. The project reflects a broader case for lightweight, on-demand web tools that reduce interruptions to a developer's workflow.

0
ProgrammingDEV Community ·

How a Brazilian CS Student Built a Secure Cross-Platform .NET 8 App with Shared API

Lucas Menezes, a student at Universidade Paulista (UNIP), developed TechService as part of his PIM IV project for the Systems Analysis and Development course. The application manages service orders by connecting a web-based admin panel built with ASP.NET Core MVC and a mobile app built with .NET MAUI through a single shared .NET 8 Web API. A MySQL relational database handles data persistence, while JWT authentication secures access across both client applications. The architecture ensures that neither the web nor the mobile app communicates directly with the database, keeping business logic centralized in the API layer. The project demonstrates how decoupled, multi-platform systems can share a unified backend while maintaining security, consistency, and maintainability.

Running Go on ARM Cloud Instances Can Cut Costs by Around 20% · ShortSingh