Michael is a Software Engineer at the IBM Research Apps Development Team with experience in software engineer designing, developing, testing, and delivering offerings using leading edge and/or proven technologies.
Michael specializes in backend systems (databases, Elasticsearch), APIs and API Development (REST or graphQL), cloud (containerization, Kubernetes, OpenShift) and AI.
As software developers, we typically use the tools we feel most comfortable with, but when it comes to backend APIs, there's a ton of languages, libraries, and tools to choose from. It's important to be able to identify the benefits of each language to determine what is best for our use case.
In their seminal book, Accelerate, Nicole Forsgren, Jez Humble and Gene Kim gave us new insights into how to measure high performing software development teams. Two of their main metrics of high performers are: delivery lead times and number of deployments.
We will demonstrate our use of Kubernetes sandbox deployments (think: fully-encapsulated, isolated running applications) to decrease delivery lead times leading to a more rapid deployment schedule.