Best practices to handle data in modern microservices architecture

Customers are adopting new microservices-based distributed models for building applications to drive agility, innovation, and efficiency. It helps them to meet evolving business needs, add new features, functionality quickly and independently by using loosely coupled microservices framework. Each microservice is autonomous, can scale independently and can use its own private data store relevant to its functionality. Hence the need the for the right database to meet their microservice's unique requirements for functionality, performance, and scale is essential. A "one-size-fits-all" approach of using a relational database for everything no longer works. In this session, learn how AWS offers the broadest and deepest portfolio of purpose-built databases that support diverse data models and allow you to build data driven, highly scalable, distributed microservices based applications. Get insights on picking the best database to solve a specific problem and understand how you can break away from restrictive one-size-fits-all databases and focus on building modern applications to meet the needs of your business. Uncover how we address the different nature of microservices and leverage AWS purpose-built databases to make modern applications more performant and effective which allows you to scale faster, innovate more, and accelerate time-to-market with these new features. Download slides »

Speakers: 
Kaustubh Patwardhan, Senior GTM Specialist, Databases, AWS
Chetan Adiverekar, Vice President of Cloud Engineering, Biofourmis

Duration: 30mins