This cost saving comes at a perfect time for anyone out there on older versions of SQL Server and Windows Server like 2008, which Microsoft is due to end extended support for in July 2019 for SQL Server and January 2020 for Windows Server. That means no more security updates, which means you’ll be left open to the latest cyber-attacks.
So, when you move to CSP you can tick two things of the list at once, best security and massive cost savings.
If you really need to keep specific apps and data on-premises, upgrading to the latest versions of SQL Server and Windows Server is the way to go. It’ll still ensure you benefit from the best security and latest innovation, even if the savings aren’t as big.
Want to talk to our team about SQL Server 2008 and Windows Server 2008 end of support? We’d love to hear from you.
Get in touch with our team. We’ll be able to let you know exactly how much you’ll be able to save if you move from PAYG on Azure to Azure CSP. We’ll also help you plan the roadmap to get there.
Talk to our team about how you can start planning your migration project.
Rehosting your workloads on Azure can be done with no application code change. You can also move your SQL Server 2008 and 2008 R2 deployments to Azure SQL Database Managed Instance with little application code change and zero downtime. You’ll be able to use existing licences and the Azure hybrid benefit to save money when you migrate Azure Virtual Machines and Azure SQL Database Managed Instances.
“If you want to run predictable Windows Server and SQL Server workloads in Azure, you can now make use of a fixed 1 or 3-year subscription that works alongside Reserved Instances and Azure virtual machines to provide you with the best possible price. This could equal savings of up to 72% for SQL Server and up to 92% for Windows Server, compared to the same model on PAYG on Azure.”
“The big news with the SQL Server 2017 release was support for running on Linux and in containers, graph queries, and running machine learning where your data is using R and Python. A year later, the CTP 2.0 preview of SQL Server 2019 announced at the Ignite conference also goes beyond the familiar relational database, with a new architecture that combines the SQL Server database engine, Apache Spark and Hadoop distributed file system (HDFS) support as a hybrid platform for big data, so you can connect to relational, NoSQL and big data sources and work with them all in a unified way.”
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