3 Ways Hybrid Cloud Will Drive Your Data Management Strategy
December 5, 2018
The majority of companies using cloud-based services will be living in a hybrid deployment world for the foreseeable future. Data and analytics leaders must understand the risks and benefits in using the primary scenarios for hybrid cloud Database management system (DBMS), and how they align with core use cases and architectures.
Dewpoint recommends the following:
Select hybrid cloud deployment architectures that align with specific use-case requirements such as compatibility with on-premise options, if available, network latency and throughput requirements.
Guide your decision making on colocation of application components for hybrid cloud architectures by monitoring data flow, in both volume and direction, between these components. Volume will impact the expected latency and performance, while direction will impact the cost of a hybrid deployment.
Adopt multi-cloud architectures when there is a compelling reason to do so. These may include vendor lock-in risk mitigation, application availability or specific services that are not available in your primary cloud provider’s environment. Make sure the payoff is worth the overhead!
4 Scenarios of Hybrid Cloud Deployments
Architecture Spanning – DBMS is on premise while applications that connect to it are cloud based
Use-Case Specific – Components are segmented by their development life cycle function
Multi-cloud – Same as use-case, but multiple clouds are used
Intercloud – In this scenario, not only are services from multiple cloud providers used, but there is also intercloud communication where data is moving between two different clouds
Contact Dewpoint to learn more about selecting the right cloud solution for your organization.