Database Migration to SQL Azure

Move your on-premise databases to SQL Azure and save time and money


Database Migration to SQL Azure

Classically, organizations have been implementing database architectures on-premise in their datacenters. With increased load and usage, organizations are facing increasingly complex operational challenges. They need to make sure their databases are highly available, scalable to meet business needs, secure, reliable, etc.

Operational complexity is almost always accompanied with cost. Highly available database infrastructures require high-end hardware, software licenses and expert operations staff. All of these add to the ever-increasing operational cost. Until now.

At first we were speculative. By storing our data in someone else's datacenter (SQL Azure) we risked everything: Privacy, Security, Availability, etc. But cost savings were a clear advantage, so we decided to give it a try. We were totally shocked at the cost, time and money we saved within a year.

Challenges with On-premise Database Infrastructures

In order to keep the on-premise database infrastructures in a healthy state, there are many challenges:

  • Scalability: On-premise database infrastructures can only scale up to the size of their hardware infrastructure. If additional scalability is necessary, you need to scale up or scale out. What if you scale up too much?
  • Patch Management: It is necessary to make sure that all updates are applied to the platform in a timely manner.
  • Latest Features: On-premise database infrastructures would not have all the latest features and capabilities. It would be necessary to upgrade the platform to the latest version in order to gain access to these new features.
  • Access to Cloud Services: On-premise database infrastructures would not make the most out of the Cloud Service offerings.
  • Employee Access: Employees have access to the database infrastructure only while on-premise.
  • Partner/Vendor Access: With on-premise database infrastructures, it is difficult to provide access to your Platform to partners and vendors.

Our Database Migration to SQL Azure Approach

SQL Azure Migration Approach

Discover

In this phase, we perform an inventory of all your database assets. Furthermore, applications using these databases are discovered and added to the list. Some databases will be migrated easier than the others, while some applications may require more work to migrate than others.

Assess

Here, we perform an assessment of all workloads and provide recommendations to fix databases prior to the migration. Both parties would reach a go or no-go decision based on the assessment report.

Convert

Source schema may require conversion to work in the target SQL Azure. The required modifications are documented and performed on a staging environment. Only when the conversion is successful will the actual data be migrated.

Migration

This is an Iterative process whereby we apply the necessary changes to the applications, execute functional and performance tests, and then, post data and schema migration, the target needs to be tested to identify performance issues.

Sync

Data is synchronized between the source and the target. Later, the data is verified.

Cutover

Here, we put the rollback strategy and plans for post migration.

Gallery


Performance and scale

Different Service Tiers to meet your levels of performance and scalability. Scale as your business grows.

Maximize Utilization

Elastic pools allow you to allocate performance resources to a pool rather than to an individual database.

Monitoring and alerting

Use tools and the performance ratings to quickly assess the impact of scaling up or down based on your current needs.

Phenomenal Reliability

Industry leading 99.99% availability, powered by a global network of Microsoft-managed datacenters.

Data Security

Advanced features to help secure your data, limit access, protect data privacy, and help you monitor activity.

Expert Advice

Our team of highly-skilled professionals will guide your team through every step of the process.