In their managed disk pricing page, Microsoft Azure present a billing method based on predefined disk size, but nowhere do thy mention pricing of arbitrary disk size. I would assume they charge by the closest larger disk size (e.g a 38GiB will be charged as 64GiB)
Yes, your understanding is correct. When considering the disk size for billing of the managed disk. You can refer to this doc.
Billing for managed disks depends on the provisioned size
of the disk. Azure maps the provisioned size (rounded up) to the
nearest Managed Disks option as specified in the tables below. Each
managed disk maps to one of the supported provisioned sizes and is
billed accordingly. For example, if you create a standard managed disk
and specify a provisioned size of 200 GB, you are billed as per the
pricing of the S15 Disk type.
Related
I need to know Azue Ultra disks IOPS and Disk throughput range based on disk Size, using azure API, I need help on if any document is available to understand it.
According to my research, we can use the following Azure rest API to get the key capabilities of ultra disks.
GET https://management.azure.com/subscriptions/<subscriotion ID>/providers/Microsoft.Compute/skus?$filter=location eq '<the location you want to check>' &api-version=2019-04-01
For instance, if you want to check southeast Asia, you will get a list as below, which contains ultra disk info :
Then we can use these capabilities to know IOPS and Disk throughput range based on disk Size. For example, The minimum IOPS per disk is 2 IOPS/GiB and the max IOPS per disk is 300 IOPS/GiB. Meanwhile, The IOPS disk should be greater than 100 IOPS and less than 160000 IOPS. So if our disk zise is 4 GB, the IOPS range is 100 - 1200. For more details, please refer to the document.
If I am creating an Azure Storage Account v2 then what is the maximum capacity of (or maximum size) of files we can store in the blob storage? I see some docs talking about 500 TB as the limit. Does that mean once the storage account reaches that 500 TB limit then it will stop accepting the uploads? Or is there a way to store more files by paying more?
It depends on the region. According to https://learn.microsoft.com/en-us/azure/azure-subscription-service-limits#storage-limits US and Europe can have up to 2PB Storage accounts. All other regions are 500TB. As mentioned by Alfred below, you can request an increase if you need to (see new max sizes here https://azure.microsoft.com/en-us/blog/announcing-larger-higher-scale-storage-accounts/)
I have yet to see a storage account hit the limit, but I would anticipate you would hit an error trying to upload a file at max capacity. I would advise designing your application to make use of multiple storage accounts to avoid hitting this limit (if you are expecting to exceed 500TB).
you can ask support to increase
https://azure.microsoft.com/en-us/blog/announcing-larger-higher-scale-storage-accounts/
I'm fairly new to Azure platform and need some help with cost estimates for Azure Search service.
Every month we will have about 500GB worth of files that will dropped into Azure Blob Storage. We would like to index these files using Azure Search just based on the file names.
When I look at the Standard S2 pricing, it has the following text for storage:
100 GB/partition (max 1.2 TB documents per service). What does this mean? Does it mean that once my storage crosses 1.2TB, I'll need to purchase another Service?
Any help would be greatly appreciated.
If a tier's capacity turns out to be too low based on your needs, you will need to provision a new service at the higher tier and then reload your indexes. Kindly note that there is no in-place upgrade of the same service from one SKU to another.
Storage is constrained by disk space or by a hard limit on the maximum number of indexes, document, or other high-level resources, whichever comes first.
A service is provisioned at a specific tier. Jumping tiers to gain capacity involves provisioning a new service (there is no in-place upgrade). For more information, see Choose a SKU or tier. To learn more about adjusting capacity within a service you've already provisioned, see Scale resource levels for query and indexing workloads.
Check the document for more details on this topic.
S2 offers the following (at this time) - Storage per partition = 100 GB, with Partitions per service = 12 and, the Partition size = 100 GB.
You could use Pricing Calculator (https://azure.microsoft.com/pricing/calculator/) for the cost estimation as well.
The storage limits for Azure Search refers to the size of documents in the index, which can be bigger or smaller than your original blobs depending on your use case.
For example, if you want to do text searches on blob content then the index size will be bigger than your original blobs. Whereas if you only want to search for file names, then size of the original blobs becomes irrelevant and only the number of blobs will affect your Azure Search index size.
In the documentation for Virtual Machine Scale Sets it says
Spread out the first letters of storage account names as much as possible
I have two questions to this:
Why should you use multiple Storage Accounts at all?
Why is Azure creating 5 Storage Accounts if I create a new Virtual Machine Scale Set through portal?
Why should I spread the first letters as much as possible?
The answer to this lies in the limits of Azure. If you look at the storage limits specifically, you will find that the storage account is capped at 20k IOPS.
Total Request Rate (assuming 1KB object size) per storage account
Up to 20,000 IOPS, entities per second, or messages per second
So that means that your Scale Set would effectively be capped at 20k IOPS, no matter how many VM's you put in it.
As for the storage Account naming, I have no clue, but looking at the templates they are linking to, they are not doing it:
"uniqueStringArray": [
"[concat(uniqueString(concat(resourceGroup().id, variables('newStorageAccountSuffix'), '0')))]",
"[concat(uniqueString(concat(resourceGroup().id, variables('newStorageAccountSuffix'), '1')))]",
"[concat(uniqueString(concat(resourceGroup().id, variables('newStorageAccountSuffix'), '2')))]",
"[concat(uniqueString(concat(resourceGroup().id, variables('newStorageAccountSuffix'), '3')))]",
"[concat(uniqueString(concat(resourceGroup().id, variables('newStorageAccountSuffix'), '4')))]"
],
I suspect, this may be somehow linked to how the storage accounts are distributed among nodes hosting them (so say accounts starting with 'A' are all hosted on the same cluster or near by clusters).
It's about avoiding throttling
https://learn.microsoft.com/en-us/azure/storage/storage-scalability-targets
For standard storage accounts: A standard storage account has a
maximum total request rate of 20,000 IOPS. The total IOPS across all
of your virtual machine disks in a standard storage account should not
exceed this limit.
You can roughly calculate the number of highly utilized disks
supported by a single standard storage account based on the request
rate limit. For example, for a Basic Tier VM, the maximum number of
highly utilized disks is about 66 (20,000/300 IOPS per disk), and for
a Standard Tier VM, it is about 40 (20,000/500 IOPS per disk), as
shown in the table below.
There's is no price difference between 5 or 1 storage accounts, so why not 5?
If you create 5 SA in different Storage Rack/Stomp (Datacenter infrastructure) you have less chance to be throttled, and they have better chance to distribute traffic load. So I think those are the reasons
According to the Azure homepage, it says:
[Storage, measured in GB] (http://www.windowsazure.com/en-us/pricing/details/)
Storage is billed in units of the average daily amount of data stored (in GB) over a monthly period. For example, if you consistently utilized 10 GB of storage for the first half of the month and none for the second half of the month, you would be billed for your average usage of 5 GB of storage.
I don't understand clearly about the term, "utilization" here. Let's say I have 10GB data in my Azure table storage, and only 1 GB (out of 10GB) data is actually "read" during this month. In this case, will I be paying based on the storage space I've been using (i.e., 10GB) or based on the data I have actually read (i.e., 1GB) ?
Azure Storage uses three "knobs" to measure your costs: transactions, out-bound bandwidth, and storage.
In your example, this would be 10gb of data stored, 1 gb of out-bound bandwidth (assuming the consumers are outside of the Azure Datacenter that hosts your application), and any transactions (the REST request/responses used to retrieve information from Storage) you need to get at the data.
However, the average daily stored per period only refers to storage (aka data at rest). Its simply measured daily and an average for the billing period calculated. And if I recall what I've been told it the past correctly, the "daily" amount is the peak you had on any given day. But please don't hold me to that part.
I would suggest reading the following Azure Storage Team blog to understand Billing thoroughly:
http://blogs.msdn.com/b/windowsazurestorage/archive/2010/07/09/understanding-windows-azure-storage-billing-bandwidth-transactions-and-capacity.aspx