Microsoft offers numerous options to choose from when it comes to selecting the best Azure compute instance for your workloads. Like we mentioned in our previous post about Azure Compute Instances, Microsoft offers 80 different instance types to their customers to choose from according to their workload sizes.
You can view the detailed specifications of various Azure Instances here.
We understand that it becomes overwhelming to pick the right Cloud instance to match the specific workload. But with the ever-changing workloads, enterprises need to continuously review and update their instances to match the delivery times and reduce costs.
Below are some signs which indicate that your current instance size is infeasible to run the application and that you should probably resize your Cloud Instance:
- Long runtimes to complete a task,
- Inability to meet customer demands on time, and
- Need for more instances to support the workload.
In order to understand which compute instance to choose for their workload, admins should first learn about their computing requirements by running their applications in local environments and monitoring the performance to detect possible bottlenecks. On the basis of outcomes, they can decide on the number of processor cores, storage, memory, network bandwidth, etc., and can choose the instance that meets, and slightly exceeds, the estimated requirements.
But due to various limitations in the number of available virtual disks in certain instances, some applications still fail to run which force an admin to select a larger instance. Tools like Azure Diagnostics will help to measure the performance of an application within the instance. Admins can select that instance if their key metrics are met otherwise, they can try moving their workload in another instance.
If you are baffled by the number of options and are unsure about when to resize your Cloud Instance, get in touch with our Cloud experts by writing to us at info@sysfore.com. You can also give us a call at +91-80-4110-5555 and we’ll be happy to help.