Async Rust: Unleashing the Power of Fearless Concurrency - Softcover

Über die Autorin bzw. den Autor

Maxwell Flitton is a software engineer who works for the open source financial loss modeling foundation OasisLMF. In 2011, Maxwell achieved his Bachelor of Science degree in nursing from the University of Lincoln, UK and a degree in physics from the Open University with a postgraduate diploma in physics and engineering in medicine from UCL in London whilst working as a nurse at Charing Cross A&E. He's worked on numerous projects such as medical simulation software for the German government and supervising computational medicine students at Imperial College London. He also has experience in financial tech and Monolith AI. While building the medical simulation software Maxwell and Caroline had to build Rust async systems in the Kubernetes cluster to solve real time event solutions and caching mechanisms. Maxwell has written the Packt textbooks "Rust Web Programming" and "Speed Up Your Python with Rust". Caroline Morton studied Medicine and International Health at the University of Birmingham before moving to London to work as a doctor. She completed an Epidemiology MSc at the London School of Hygiene and Tropical Medicine. She later set up the first course in the UK training doctors and medical students to learn programming ("Coding for Medicine") which later developed into a 10 week module and wrote a textbook covering the same topic called "Computational Medicine", Elsevier 2018. In 2019, she moved to University of Oxford to work as an Epidemiologist and Software Developer and was key in developing OpenSAFELY - a trusted research environment that processed COVID-19 data during the Pandemic. This resulted in over 40 peer reviewed papers including Nature, the Lancet and the BMJ. Together with Maxwell, she has had to develop cutting edge techniques in Rust to solve problems in developing a Virtual Emergency Room app for training new doctors. She therefore has real-world experience of writing and deploying async rust in production.