Speaker Details

Grace Jansen

IBM

Grace is a developer advocate at IBM, working with Open Liberty and Reactive Platform. She has now been with IBM for two years, after graduating from Exeter University with a Degree in Biology. Moving to software engineering has been a challenging step for Grace, but she enjoys bringing a varied perspective to her projects and using her knowledge of biological systems to simplify complex software patterns and architectures. As a developer advocate, Grace builds POC’s, demos and sample applications, and writes guides and tutorials to help guide users through technologies and products. She is a regular presentor at internation technology conferences and has recently authored a book on reactive systems. Grace also has a keen passion for encouraging more women into STEM and especially Technology careers.

Fantastic beasts and how to save them – utilising technology to save the planet

Conference
Green Tech

Zoos are a fantastical place of wonder that inspire our younger generations and teach us the precious state of all living creatures in the world.  Humanities impact on the world has resulted in Zoo’s becoming an oasis of survival.  Paradoxically the efforts of safeguarding their future often relies on increasing the impact on the climate. Rescuing these animals and housing them outside their natural environment can result in substantial use of power to create the environments they need. This means that in an effort to save these endangered species, zoos are in fact partially contributing to their demise through their own carbon emissions.

In this talk hear how some zoos are utilising the latest technologies to minimize their carbon footprint and still help save these species and reflect upon how you can help reduce our effect on climate change through technological advancements.

IoT Applications
IoT
Innovation

Reacting to an Event-Driven World

Conference
Architecture

We now live in a world with data at its heart. The amount of data being produced every day is growing exponentially and a large amount of this data is in the form of events. Whether it be updates from sensors, clicks on a website or even tweets, applications are bombarded with a never-ending stream of new events. So, how can we architect our applications to be more reactive and resilient to these fluctuating loads and better manage our thirst for data? In this session explore how Kafka and Reactive application architecture can be combined in applications to better handle our modern data needs.

Reactive Manifesto
Kafka
Reactive Programming
Event Streams
Event-Driven Microservices