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If you are considering moving to a microservices architecture, you are in good company. IDC estimates that 90% of all new apps will feature microservices architectures by 2022.
A microservices architecture offers the ability to decompose your app into many loosely-coupled services organized around business capabilities, thereby alleviating some of the complexities. Of course, microservices are not a free lunch, but for most large, complex apps, they allow teams to deploy new features faster, scale more easily, and pick the best technology stacks.
But what about distributed data? Each microservice is able to select the right database for the right job by employing a data model based on key-value, graph, hierarchical, JSON, streams, search, and so on. With over 300 databases available in the market, this creates a challenge when selecting a database that both meets your criteria and is lightweight enough for a microservices architecture.
What you will learn in this session:
• Why the data layer is the first thing you should be thinking about when moving to a microservices architecture
• How Redis Enterprise is used in a microservices architecture
• Strategies for managing stateful Redis Enterprise containers, and how to manage high availability and resiliency in a distributed system while running on kubernetes.
• How Mutualink uses Redis to solve 3 common challenges in their microservices architecture
Webinar Presenters: