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What ended up being the biggest bottleneck in my ESP32 IoT project?
It wasn't the CPU.
It wasn't the Flash.
It was RAM.
While developing an ESP32-based embedded firmware application, my firmware combined BLE provisioning, Wi-Fi, MQTT, HTTPS OTA updates, JSON parsing, RGB LED control, and real-time MP3 streaming. Each feature worked well individually, but once everything started running together, I began seeing memory allocation failures and unexpected resets.
That debugging session reminded me of something that's easy to overlook:
A datasheet tells you what a microcontroller can do. Real-world testing tells you what it can actually handle.
I recently published a technical article that walks through the entire debugging process—from identifying the memory bottleneck to implementing a production-ready solution using PSRAM. If you're interested in ESP32, embedded firmware, FreeRTOS, IoT development, memory optimization, or embedded systems design, I hope you'll find it useful.
📖 Why RAM—Not CPU Speed—Became the Bottleneck in Our ESP32 IoT Device
I'd love to hear how other firmware engineers approach memory optimization. Have you run into similar RAM limitations in your embedded projects?
If you're building an ESP32, STM32, or IoT product and need embedded firmware development, Embedded C/C++, FreeRTOS, driver development, or firmware debugging, I'd be happy to discuss your project.
#EmbeddedSystems #EmbeddedFirmware #FirmwareDevelopment #ESP32 #STM32 #IoT #FreeRTOS #EmbeddedC #Microcontrollers #IoTDevelopment
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Is the bundle getting unnecessarily large?
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Will the frontend still be maintainable six months from now?
I’m now offering React & Next.js Frontend Development on Contra.
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→ React and Next.js applications
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I’ve spent the last 3 years building and shipping production web applications, including enterprise SaaS products and complex frontend workflows.
If you need someone to build a frontend from scratch or improve an existing React/Next.js application, feel free to reach out.
Prioritizing reusable component architecture and bundle health before scaling saves teams from painful tech debt down the line. Excellent, value driven service positioning!
From Slow to Fast: How I Audit and Optimize Next.js Websites
Not every website needs a complete rebuild.
Recently, I audited a fitness platform built with Next.js. At first glance, everything looked polished, but a deeper technical review revealed several issues affecting speed, user experience, and search performance.
What I found
Homepage payload of over 3.3 MB
Oversized images slowing down page loads
Unused CSS and JavaScript increasing bundle size
Poor Core Web Vitals, including high layout shift (CLS)
Render-blocking resources delaying the first paint
Accessibility issues affecting screen readers
Runtime console errors that could lead to inconsistent behavior
My approach
Instead of suggesting a rebuild, I focused on optimization.
The audit included:
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✅ Accessibility audit
✅ UI/UX improvements
✅ Runtime debugging
✅ Technical SEO review
✅ Next.js best practices
The goal was to improve loading speed, create a smoother experience across devices, and make the codebase easier to maintain without disrupting the existing functionality.
Why this matters
A faster website doesn't just feel better it can improve search rankings, reduce bounce rates, increase conversions, and make future updates much easier.
Sometimes the biggest gains come from refining what's already there rather than starting over.
If you have a Next.js, React, or modern web application that feels slow or isn't performing as expected, I'd be happy to review it and point you in the right direction.
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