Aidan Finn discusses Azure DevTest Labs, a way to provide self-service for developers and testers with helpful automation but budge control for the business.
Aidan Finn shares the results of some stress tests that were run on the Azure virtual machines with and without the Accelerated Networking feature enabled.
It’s a new year and it’s time for new things. This month I’m starting a monthly series to summarize some notable things that have happened in Azure IaaS.
Aidan Finn discusses Microsoft’s recent announcement that Accelerated Networking is now generally available for Windows and Linux virtual machines running in Azure.
Aidan Finn reviews his highlights in the last year of Azure infrastructure improvements. Please share your highlights too.
Aidan Finn compares and contrasts the two options for deploying SQL Server in Microsoft Azure, Azure SQL, and SQL Server running in a virtual machine.
In this “how to” post, Aidan Finn shows you how to use Azure Automation to scale up (increase) or scale down (decrease) the size of an Azure virtual machine.
Aidan Finn discusses Microsoft’s launch of a new version of the F-Series virtual machines aimed at providing Xeon performance for application servers in Azure.
Aidan Finn explains explains a new high-availability and service level agreement (SLA) feature of Microsoft Azure called availability zones.
Aidan Finn explains how to select an Azure virtual machine series and size, including updates to past versions of this post, adding the D_v3, E_v3, and L_v2 virtual machines, as well as using the Azure Compute Unit (ACU) measurement.
Aidan Finn shares a summary of the improvements to the Azure virtual machine and related services and features announced at the Microsoft Ignite 2017 conference.
Aidan Finn shares information about a new ultra-low-cost series of Azure virtual machine that is perfect for light workloads with intermittent requirements of higher CPU utilization.
Aidan Finn explains how you can use Alerts in Microsoft Azure to monitor the performance of Azure virtual machines and create alerts or trigger actions when performance breaches pre-defined thresholds.