Azure Virtual Machines
An Azure service that is used to provision Windows and Linux virtual machines.
7,763 questions
Slow response from the Server hosted in 'Central France' observed for the end users located in London, UK.
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Malik Syed Rahamatulla
0
Reputation points
We have hosted Azure VM server for one of our clients in "France Central" location. Some of the end users of the client are located in UK. And they are reporting considerably slow response from the Server. Whereas other end users from other locations such as Singapore, Australia, USA and India are not facing the slowness issue and working fine. Please suggest what could be the reason for end users from UK to face latency in connectivity.
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kobulloc-MSFT 26,236 Reputation points Microsoft Employee2024-02-28T07:39:42.6466667+00:00 Hello, @Malik Syed Rahamatulla ! Have you compared the traffic volume between different regions? You can test the VM network throughput to confirm throughput performance: https://learn.microsoft.com/en-us/azure/virtual-network/virtual-network-test-latency?tabs=windows
Tips and best practices to optimize network latency> To optimize VMs for network latency, observe the following recommendations when you create the VMs:> - Use the latest version of Windows or Linux.> - Enable Accelerated Networking for increased performance.> - Deploy VMs within an Azure proximity placement group.> - Create larger VMs for better performance.> Use the following best practices to test and analyze network latency:> As soon as you finish deploying, configuring, and optimizing network VMs, take baseline network latency measurements between deployed VMs to establish benchmarks.> Test the effects on network latency of changing any of the following components:
- Operating system (OS) or network stack software, including configuration changes.> - VM deployment method, such as deploying to an availability zone or proximity placement group (PPG).> - VM properties, such as Accelerated Networking or size changes.> - Virtual network configuration, such as routing or filtering changes.> Always compare new test results to the baseline or to the latest test results before controlled changes.> Repeat tests whenever you observe or deploy changes.
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