For a comprehensive overview of migrating to AWS, and HA architectures please see our blog, here.  

There are 3 important Cloud Services that firms are looking for:

  1. Migrate VM workloads with minimal disruption to AWS and;
  2. Migrate existing databases to a cheaper, on-demand AWS platform
  3. Phased approach to AWS migration


1.  Migrating VMs with no disruption

Organizations choosing to migrate to AWS are looking for a solution that will allow them to migrate their workloads with minimal disruption to their business and no data loss. In order to achieve this, they need to be able to test their applications on the Cloud prior to redirecting network traffic.

We can seamlessly migrate VMware servers, or any virtualized server, to AWS with CloudEndure Live Migration.



2.  Database Migration to AWS

We can also migrate on-premise or co-location data bases to AWS. AWS migration service works by “setting up and then managing a replication instance on AWS”. What this means is that the entire process takes the source database and automates the migration of all data and schemas to the target host instance on AWS.

The AWS migration utility will “unload” data from the source database into the AWS destination database with minimal downtime [usually no down time]. This can involve on-going replication, which means I can move ‘live data’ over without having to do a cut-over and stop users from using the existing system.

This migration scenario handles the transference of data, schemas and models. It will also translate these schemas and models from one database type to the receiving databsase type. An example is migrating Oracle to Aurora or MySql. This service also monitors the health of the instance, and will notify the administrator if there is an error in the migration. The migration service will also automatically provision another instance, if the receiving instance becomes unavailable.

This utility is quite beneficial for firms who want to decrease, or lose, expensive, Oracle, IBM, MS SQL or other license charges. By automating the approach to database migration, clients will save time and money moving their expensive estate, into the AWS Cloud.


3.  Migration phases to AWS 

There are essentially 6 phases to migrating to AWS.  Migrating applications, databases and systems, are all different, and involve different techniques and complexity.  

6 phases:

  1. Assessment:   Understand AWS, Architecture, Platform and Cost
  2. Proof of Concept:  Learn, build, deploy, fail, train. 
  3. Data Migration Phase: Understand, Clean and Move data
  4. Application Migration Phase:  Code review, Refactoring, Forklift, Hybrid Migration Strategy
  5. Leverage the Cloud:  HA, Elasticity, Auto-scaling, Security etc.
  6. Optimization:  Customization, Orchestration, Automation