Powering Microservices Architectures With Amazon MemoryDB


WEDNESDAY, APRIL 27 - 11 am PT / 2 pm ET


Microservices architectures reduce time-to-market and enable cross-functional teams to develop, test, deploy, and scale their services independently by allowing you to break apart monolithic applications into multiple services that perform different logical functions. Join AWS database experts to learn how to build ultra-fast, scalable applications with Amazon MemoryDB for Redis, a Redis-compatible, durable, in-memory database service. Stack Overflow's "most loved" database for the past five years, Redis, is a popular choice for containerized microservices because of its performance and versatility.

In this webinar, we will review the key benefits of microservices architectures including flexibility to make technology decisions best suited for the needs of each service. We will cover the selection of a purpose-built database, such as Amazon MemoryDB, to store and retrieve data in a highly scalable and efficient manner. We will share how Amazon MemoryDB delivers ultra-fast performance and enables mission-critical data storage backed by a Multi-AZ transactional log for durability, consistency, and availability. Also, we will show how Amazon MemoryDB makes development agile and easy with the added flexibility of Redis data structures and APIs.

In this webinar, you will learn about:

  • Microservices architecture principles and containerized microservices concepts
  • Challenges facing today's enterprises based on modern application requirements
  • Amazon MemoryDB for Redis key features and core capabilities
  • Microservices use cases and patterns that can benefit from Amazon MemoryDB

Don't miss this live event on Wednesday, April 27, 11am PT / 2pm ET.

Register now to attend Powering Microservices Architectures With Amazon MemoryDB.

By registering, you agree to the AWS Event Terms and Conditions
and the AWS Community Codes of Conduct.

Abhay Saxena
Principal Technical Product Manager
Amazon MemoryDB for Redis
Sashi Varanasi
Worldwide Specialist Solutions Architecture Leader
AWS Databases
Stephen Faig
Research Director
Unisphere Research
and DBTA