Software development in a live production environment requires balancing the speed of iteration in feature development with the requirement to keep the service up for customers.
Developed a machine-learning based continuous deployment system incorporating an automated full stack battery of testing and post-deployment testing of mission critical infrastructure.
Faster development, stable infrastructure, downtime reduced to 0% over subsequent two years.
Software development in a live production environment requires balancing the speed of iteration in feature development with the requirement to keep the service up for customers.
Developed a machine-learning based continuous deployment system incorporating an automated full stack battery of testing and post-deployment testing of mission critical infrastructure.
Faster development, stable infrastructure, downtime reduced to 0% over subsequent two years.
