It indicates that businesses are releasing the importance of deploying workloads in the cloud and are migrating applications from on-premises to the cloud. The dynamic nature of the cloud platform makes scaling infrastructure to accommodate changing requirements a relatively pain-free process.

A successful migration faces many challenges including controlling costs, picking the right architecture, and scaling learning curves. Therefore, it is crucial to ensure that every step from planning and assessment to migration is performed by certified cloud experts or service providers.

Here are the key challenges faced by companies in becoming cloud-native:

Challenge 1 – Redesigning of the Data Model Cloud

Different types of data stores support different types of schema. AWS Redshift supports PostgreSQL whereas Big Query uses STRING, RECORD (semi-structured objects), and REPEATED (arrays) types. Azure offers SQL, MySQL, PostgreSQL, and MariaDB.

There is also a specific set of data types that are not supported at all (BLOB, geographic coordinates, etc.). Increasing the storage required to keep the data updated is inexpensive and gives better performance as compared to running JOINS on tables stored on distributed servers. To resolve these differences, it is not enough to adjust the data model once. It is crucial to keep both data models in continuous synchronization as they change over time.

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