Caching for Microservices Architectures: Session I

April 26, 2017
In this 60 minute webinar, we will cover the key areas of consideration for data layer decisions in a microservices architecture, and how a caching layer, satisfies these requirements. You’ll walk away from this webinar with a better understanding of the following concepts: - How microservices are easy to scale up and down, so both the service layer and the data layer need to support this elasticity. - Why microservices simplify and accelerate the software delivery lifecycle by splitting up effort into smaller isolated pieces that autonomous teams can work on independently. Event-driven systems promote autonomy. - Where microservices can be distributed across availability zones and data centers for addressing performance and availability requirements. Similarly, the data layer should support this distribution of workload. - How microservices can be part of an evolution that includes your legacy applications. Similarly, the data layer must accommodate this graceful on-ramp to microservices. Presenter : Jagdish Mirani is a Product Marketing Manager in charge of Pivotal’s in-memory products
Previous
Microservices: Cloud-Native Roadshow (Chicago)
Microservices: Cloud-Native Roadshow (Chicago)

Cloud-Native Roadshow (Chicago)

Next
Dynatrace - Monitoring Redefined
Dynatrace - Monitoring Redefined

Learn how to deliver software like Pivotal and Google. In this one-day program, Pivotal and Google share ho...