Many organizations are making the move to cloud-native platforms as their strategy for digital transformation. cloud-native allows companies to deliver fast-responding, user-friendly applications with greater agility. However, the architecture of the data in support of cloud-native transformation is often ignored in the hope that it will take care of itself. With data becoming the information currency of every organization, how do you avoid the data mistakes commonly made during this cloud transformation journey? What data questions should you ask when building cloud-native applications? How can you gain valuable insight from your data?

The ensuing presentation includes six key considerations companies must have when they make this transition to cloud-native.

1. Farewell, service-oriented architecture (SOA). Welcome, microservices!

While there are many legacy applications that are still SOA-based, the architectural mindset has changed and microservices have gained much popularity. Rather than architecting monolithic applications, developers can achieve many benefits by creating many independent services that work together in concert. A microservice architecture delivers greater agility in application development and simpler codebases; updates and scaling the services can be achieved in isolation and services can be written in different languages and connected to different data tiers and platforms of choice. This strategy allows developers and operators to work together in a much more harmonious way. Such componentized architecture demands a database platform that can support the different data types and structures and programming languages with ease.

2. 12-factor app and cloud-native microservices

The 12-factor app is a set of rules and guidelines for helping organizations build cloud-native applications. It serves as an excellent starting point, but when it comes to data platforms, a couple of factors (Nos. 4 and 5) need further examination.

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