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My technology radar

Here is where I track the technologies and techniques I work with. It is inspired by Embedded Artistry which is based on the original Thoughtworks radar. It's a way of organising tools in categories and noting the maturity or adoption level for each.

Though I use different categories: in addition to observing technology trends, I wanted to highlight some aspects of embedded software engineering that I find challenging in the focus areas section.

  1. Languages & Libraries
  2. Platforms
  3. Tools
  4. Techniques & Focus areas

Instead of including the flashy Javascript radar, I decided to keep it simple and use a text based approach. To further simplify it, I reduced the assessment scale to the following:

  • Adopt: This technology is proven, mature and can be used in most cases
  • Evaluate: These tools are ready to use and have been tested to various extent, but not as mature as the adopted ones
  • Hold: These are the industry standard tools which I rather not use or only in special circumstances

Languages & Libraries

💡 This section contains programming languages, supporting libraries and occasionally complete software frameworks.

Adopt

  • C
  • C++
  • Python
  • Qt
  • Catch
  • Trompeloeil

Evaluate

  • Rust

Hold

  • WPE Webkit

Platforms

💡 The platforms sections includes hardware platforms, bootloaders, operating systems and cloud providers.

Adopt

  • NXP i.MX6
  • STM32F3
  • U-boot
  • Linux
  • FreeRTOS
  • Azure IoT Hub
  • Azure IoT Edge
  • Azure Sphere
  • AWS IoT Core

Evaluate

  • NXP i.MX8
  • 🔺 GD32 RISCV
  • Nordic nRF5x
  • Zephyr
  • ELBE
  • AWS IoT Greengrass

Hold

  • 🔻 NXP i.MX8X
  • NXP i.MX23

Tools

💡 The tools section list supporting engineering tools: software/firmware build systems, sanitisers, formatters.

Adopt

  • Yocto
  • Buildroot
  • FreeRTOS
  • Make
  • Clangd: clang-format, clang-tidy

Evaluate

  • 🔺 ELBE
  • Zephyr

Techniques & Focus areas

💡 This section contains engineering techniques and some focus areas which I think requires special care in embedded software engineering.

Adopt

  • Lifecycle management
    • Manufacturing: Factory floor configuration
    • Manufacturing: Cloud configuration
    • Provisioning: Server assignment(multi-tenancy, geo-sharding)
    • Maintenance: Firmware/Configuration/Application update
    • Deprovisioning
  • Security
    • Hardware root of trust: TPM, Fuse, PUF
    • Defense: Read-only flash, isolated cores
    • Trusted computing: ARM Trustzone
    • Dynamic compartments: Processes, containers
    • Authentication: Certificates, tokens
    • Monitoring: Agent-based, agentless
    • Renew: Firmware update
  • Network communication
  • Distributed computing
    • Business drivers: Security, Availability, Cost, Bandwidth, Latency
    • Computing layers: Sensor, Edge, Fog, Cloud
    • Network communication:
      • Models: Device-to-cloud, cloud-to-device
      • Protocols: Application layer, Physical layer
      • Payload: Compression, serialisation