Data Platform for Developers and DBAs
In this category you will find technical articles with tips and best practices on:
- SQL Server Optimization, configuration and maintenance
- Development and good programming practices with T-SQL
- Cloud Migrations and Data Platform Modernization
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Updates on Data Platform for Developers & DBAs:
Organizations often need to debug production errors, which many times in the past has been done directly pointing development applications to the production database. This, which is in itself a malpractice, is one of the measures that comes to regulate the GPDR with force and is precisely one of the things we should never do.
What usually happens is that when we move SQL Server to a virtual machine, we become constrained by a maximum or limited amount of resources (CPU/ memory/ IO) that is significantly different to that of the physical machine.
Before uploading all our data to the cloud, we must be well aware of GDPR (General Data Protection Regulation), a European regulation aiming to protect individuals in regards to how their personal details are processed and the free movement of data.
Gradually, as storage gets faster and local SSD storage becomes more popular, etc. disk access times are significantly decreasing. In these regards, perhaps the best example are the SSDs Optane systems, notable for their much lower read/ write latencies than with traditional SSD’s, in addition to being directly connected through the PCIe bus:
In the last few years, we are increasingly finding more hybrid environments where some SQL Servers are being migrated to the Cloud. In these cases, other applications, services, ERPs or even SQL Server instances continue to be based OnPremise in the initial data center. This means that in the event of any connections between both environments, these will be restricted by bandwidth and higher latencies, as opposed to other connections that do not go across both environments.
One of the issues that many of our customers face when attempting to migrate OnPremise instances to the Cloud is the lack of a simple “shared storage”. Although there are some alternatives supported by third-party software or SDS solutions that allow us to configure a Failover Cluster instance in Azure, these are highly complex, therefore adding significant further costs to the solution’s TCO.
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