Platforms Thoughtworks Technology Radar 43. Dragon昀氀y Assess Dragonfly is a new in-memory data store with compatible Redis and Memcached APIs. It leverages the new Linux-specific io_uring API for I/O and implements novel algorithms and data structures on top of a multithreaded, shared-nothing architecture. Because of these clever choices in implementation, Dragonfly achieves impressive results in performance. Although Redis continues to be our default choice for in-memory data store solutions, we do think Dragonfly is an interesting choice to assess. 44. Edge Impulse Assess In previous Radars, we’ve written about TinyML — the practice of running trained models on small devices with onboard sensors to make decisions or extract features without a roundtrip to the cloud. Edge Impulse has made the process of collecting sensor data and then training and deploying a model as simple as possible. Edge Impulse is an end-to-end hosted platform for developing models optimized to run on small edge devices such as microcontrollers. The platform guides the developer through the entire pipeline, including the task of collecting and labeling training data. They’ve made it easy to get started using your mobile phone for both data collection and running the classifier while the model training and refining happens in the more powerful, cloud-hosted environment. The resulting recognition algorithms can also be optimized, compiled and uploaded to a wide range of microcontroller architectures. Although Edge Impulse is a commercial venture, the platform is free for developers and makes the entire process fun and engaging even for those who are new to machine learning. The low barrier of entry to creating a working application means that we’ll be seeing more edge devices with smart decisioning built in. 45. GCP Vertex AI Assess GCP Vertex AI is a unified artificial intelligence platform that allows teams to build, deploy and scale machine-learning (ML) models. Vertex AI includes pretrained models, which can be used directly, fine-tuned or combined with AutoML, as well as infrastructure such as feature stores and pipelines for ML models. We like Vertex AI’s integrated capabilities, which help to make it feel like a coherent AI platform. 46. Gradient Assess Gradient is a platform for building, deploying and running machine-learning applications, very similar to Google’s Colab. Notebooks can be created from templates, helping you to get started with PyTorch or TensorFlow or with applications like Stable Diffusion. In our experience, Gradient is well-suited for GPU-intensive models, and we like that the web-based environment is persistent. © Thoughtworks, Inc. All Rights Reserved. 25