This is the right time for your organization to make a clear decision to have a hybrid cloud model for all your IT aspects if you have not started. The following consideration will give you better clarity for the cloud enablement and migration both on-premise and cloud.
Identify the Services That You Are Going to Use in Cloud
The organizations of different industry sectors have different use cases. Sectors like banking, logistics, insurance, healthcare, and retail migrate to cloud based on their unique business requirements. Though the domain varies there are certain aspects of software development, system administration and infrastructure management which are common for which ideally the organizations would choose to go for hybrid cloud, so you should take extra care to have the list of exact services and the business benefits before moving to cloud for those kinds of services.
The cloud players have paved the way for the organizations to use the services more seamlessly than before, and the recent changes allow you to write only the business logic and connect the cloud components together where you need them and use it. It is not mandatory that a customer has to use all the services provided by the cloud service provider; it all depends on your company’s business requirements and cost estimation factors.
Evaluate the Best Cloud Service Provider for the Service That You Choose
The major cloud service providers in the market today such as Amazon AWS, Microsoft Azure, IBM, Salesforce, SAP, Google Cloud and Oracle are more focused on AI, machine learning and cloud-native apps in recent years. The recent updates on Text to Speech Service such as Amazon Polly, Google Text-to-speech Deepminds AI, and Microsoft Azure Bing Speech API provide the same capability with different performance levels on each cloud environment. You have to choose which player is best suited to your requirements in terms of handling customer data effectively. Similarly, the Cloud Native Apps are the ones which get built completely on the cloud starting from IDE to code commit, repository, testing, build and deployment in production. There are tradeoffs on the cloud-native apps as the code developed is less portable to other cloud service providers if it doesn’t have a better design; however, the choice of the cloud player for these aspects should be taken care of well before starting the development on the cloud.
List down the Mass Data Workloads Which Requires Migration and Leverage on the Cloud Scalability
You could evaluate the data available in your on-premise and segregate the idle data and dynamic data which includes live transactions. This evaluation would help to take strategic decisions on moving to the cloud and to do the cost estimation, which also involves how frequently you will be using the data in the cloud. The idle data could be further drilled down to find out the preferred data and the storage space required for it on the cloud and on-premise. You have to plan and schedule the data migration activity as few organizations do it in periodic cycles; this will allow you to decide on business downtime and infrastructure and scalability factors for the amount of workload being migrated to the cloud. You need to pay attention to the retrieval part of the data from the cloud as it costs different for different cloud players. Direct Connect and Express Route options provided by AWS and Azure and a few other cloud players provides the way to have a private connection between your data center and cloud for better network latency.