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kernelmode

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kdubovikov.xyz 3y ago

Why Study Algorithms?

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blog.kdubovikov.ml 5y ago

Building a weather station. Final post

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blog.kdubovikov.ml 5y ago

Building a weather station. Final post

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blog.kdubovikov.ml 5y ago

Building a Weather Station Bot

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blog.kdubovikov.ml 5y ago

Building a Weather Station Bot with Rust

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blog.kdubovikov.ml 5y ago

Asynchronous Programming in Rust

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blog.kdubovikov.ml 5y ago

Async Unicorns Love Rust

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blog.kdubovikov.ml 6y ago

Build yourself a weather station. Part 2. Writing code for ESP32

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blog.kdubovikov.ml 6y ago

Build yourself a weather station. Coding for ESP32

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blog.kdubovikov.ml 6y ago

Build yourself a weather station

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blog.kdubovikov.ml 6y ago

The Beauty of Hardware

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jesframework.store 6y ago

Jes – a framework for event-sourced apps – release 1.0.0 available

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github.com 7y ago

Fancy Reactive JMS Publisher for Java

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medium.freecodecamp.org 8y ago

Machine Learning as a Service with TensorFlow

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medium.freecodecamp.org 8y ago

Embarrasingly Fast Random Subset Sampling

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github.com 8y ago

Cachalot – a lightweight Java acceptance testing framework for complex back end's

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medium.com 9y ago

Learning Machine Learning – Probability Basics

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medium.com 9y ago

PyTorch vs. TensorFlow – spotting the difference

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Looks like you lack visibility on what's happening on a day-to-day basis. Try setting up a task tracking process, daily status meetings where everyone can look at the task board and report their progress. Set up a lightweight Kanban-like feature delivery process. This will give you tools to understand the development pace and some useful information for the release planning as well.

Hi Daniel. Thanks a lot for the comment. This makes sense. We all should choose right tools for the right job and architect our solutions according to the requirements and restrictions we have.

One of my original goals was to make the financial entry-barrier as low as possible. Another — to provide educational context for covering a full-stack IoT development from firmware to backend to frontend. This means using cheap hardware and open-source software. In fact, I spent around 9$ on everything that was needed for this project.

I wouldn't say that this project is over-engineered with cool tech. I tried to keep the setup as minimal as possible, sticking to industry-standard data exchange protocols and frameworks.

Of course, all of the software part could be written using ANSI C or C++, but from my point of view, it wouldn't make the project simpler, because there are more specialized tools that are better suited for the particular task, be it backend, frontend or firmware (Rust, HTML5+JS and C in case of this project). I have outlined rationalization behind this particular technology stack under the "Choosing the technology stack" heading.

You are right that in a commercial setting, there might be myriad more inputs that constrain the technology choice like team experience, your company's recommended technology stack and etc. Of course, we can't take into consideration all these hypothetical requirements, as they depend on the environment you are working in and the commercial goals of the project.

To make your comment complete, could you share your ideas on how to architect this alternatively to get the same result with less than ten bucks, maybe an hour or two, and just a handful of code, if any? If it is a viable alternative I'll consider adding it into the post as an alternative tech stack, so people reading it will see more alternative options on how to build this project.