Data Modernization

Data modernization is the movement of data from legacy databases to current databases. The latest data management tools are used to read unstructured data and utilize open-source technologies. These tools provide significant cost savings compared to older data management options. The resulting business agility tools include cloud, container, and large capacity data analytics and intelligence. Data security and privacy regulations are also key elements of these strategies.
  • How to best transition to scalable and efficient infrastructures without disturbing current business processes.
  • How to manage increasing quantity and speed of new data arrival.
  • How to evaluate critical data soon enough to make business decisions.

Cloud Planning

Destiny Corporation will help you with cloud planning.  When selecting a cloud provider, security is the primary consideration. Both physical and cyber security are important. Data centers should be redundant and widely separated.

Cold storage is not usually appropriate for active mission-critical data. The service level should be measured based on the expected client experience rather than an overall average.

Client bandwidth determines how quickly data is transferred, not the cloud provider.

Different clients may need different levels of self-service management. Do-it-yourself management can be necessary for governance but may cost more. Most providers offer management software and support other third-party management software.

Container Planning

Destiny Corporation recommends industry best practices for developing containers.  They include an emphasis on security, during all phases of container creation, development and operation.

Rather than the usual host-level monitoring, containers should be reviewed at the service level.

Micro services applications must have integrated storage with the workflow.  This should be done to make the operation as efficient as possible.

Network automation is preferable to relying on the usual networking stack.

Automated management is essential due to container complexity.

Kubernetes is often used to control the orchestration layer (which maintains correct operation) and scheduling layer (which puts the container on the best hosts within the cluster).

Since no single cloud provider can optimize each kind of workload, multi-cloud options are often chosen.

Privacy compliance in the cloud can take two forms. Either the cloud provider offers compliant storage or the client controls data access and storage locations.

Cloud providers might not make regular backup copies of data for on-prem systems. Therefore, cloud-to-cloud backup may be needed to have redundant cloud-based data in another region or stored with another provider.

The type of data a client stores affects the costs, data protection levels, management requirements, and governance.

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