Can Data Keep Up?
Many enterprises are turning towards containerization technologies as the preferred method to efficiently support their dynamic business process requirements. Although powerful orchestration tools have emerged to facilitate easy management of containerized applications, data management solutions have lacked corresponding features and flexibility. There are quite a few containerized use cases requiring persistence and they extend across a wide range of businesses. Some examples include:
Financial analytics “sandboxes” require on-demand access to large amounts of persistent data.
Software development environments need to both share (e.g., stable source code) and isolate (e.g., code under development) persistent data.
Service provider infrastructure must persist and manage large amounts of user-generated content, such as photo and video.
Many traditional applications (e.g., relational databases), rely on persistence for their core functionality.