Know About the Best Practices for AWS Migration
Migration to AWS cloud has started on a wide scale. The hassles involved in data center expansions and the opportunities to make the most of the scalability, agility and the cost efficiency offered by cloud are encouraging enterprises to take this move. So, if you are thinking of BI migration to AWS Cloud solutions, you should materialize it. But, you must be intimidated with the varied methods for AWS migration. Getting familiar with the best practices for the migration is useful in this regard. In this blog post, I am going to discuss about them in brief. Take a look at the following.
Lift&Shift or Forklift — The advantages of this migration strategy is that you are able to move the entire infrastructure at once. The application is required to be modified a bit and this method happens to be the most inexpensive one. The downside is that with Forklift, you are not able to utilize the native features of cloud.
Hybrid — In stark contrast to Lift&Shift, Hybrid involves the shifting of the single components of the application. Here, you have the flexibility to decide on the specific parts of the application for which you want to leverage AWS Redshift Expertise. You can save a substantial amount of cost and prevent certain risks as well, like the improbable functioning of the application after migration.
Cloud Native — This migration method allows taking full advantage of the AWS cloud native features. The level of modification to the application is bigger which demands enterprises to devote significant time and resources for development, testing and implementation.
Before availing AWS big data services, you need to keep in mind the application architecture, depending on which you are required to choose the most viable solutions.
