cost-management

Turning Azure Cost Management API's response into data frame

由 落花浮王杯 提交于 2021-02-08 11:14:10
问题 I have a problem changing the Azure Cost Management response into a data frame. This is what I get from AzureRMR : response_example <- list(id = 'subscriptions/00000000-0000-0000-0000-000000000000/providers/Microsoft.CostManagement/query/00000000-0000-0000-0000-000000000000', name = '00000000-0000-0000-0000-000000000000', type = 'Microsoft.CostManagement/query', location = NULL, sku = NULL, eTag = NULL, properties = list( nextLink = 'https://management.azure.com/subscriptions/00000000-0000

Turning Azure Cost Management API's response into data frame

由 六月ゝ 毕业季﹏ 提交于 2021-02-08 11:13:12
问题 I have a problem changing the Azure Cost Management response into a data frame. This is what I get from AzureRMR : response_example <- list(id = 'subscriptions/00000000-0000-0000-0000-000000000000/providers/Microsoft.CostManagement/query/00000000-0000-0000-0000-000000000000', name = '00000000-0000-0000-0000-000000000000', type = 'Microsoft.CostManagement/query', location = NULL, sku = NULL, eTag = NULL, properties = list( nextLink = 'https://management.azure.com/subscriptions/00000000-0000

What business logic is the Azure Cost Export applying?

由 走远了吗. 提交于 2021-02-05 11:30:49
问题 I want to get the most up to date actual costs in Azure. There seem to be 4 ways of doing this with different results: Export Costs to Storage Account Cost Management API Billing API Consumption API Number 1 works well but I need an API, not a file dump. Number 2 seems to be made for powering the Cost Management UI with high-speed dimension querying Number 3 seeems to be in Preview but legacy (!) Which brings me to number 4. I compared this query with the output from the CSV Cost Export file

Power BI desktop cannot import data with Azure Cost Management Connector

由 我只是一个虾纸丫 提交于 2021-01-29 09:24:06
问题 I recently started using the Azure Cost Management connector for Power BI. The idea is to get Azure consumption data to PBI and generate some reports. However, I'm getting the following error when trying to load the data: The user does not have any claims associated I am using our organization's Enrollment Number and the Key. I tried the Azure Consumption Insights connector and it worked without an issue and I was able to import data into PBI desktop app. Do we need to enable anything from

Performance of gzipped json vs efficient binary serialization

由 依然范特西╮ 提交于 2021-01-27 04:59:42
问题 JSON and Gzip is a simple way to serialize data. These are widely implemented across programming languages. Also this representation is portable across systems (is it?). My question is whether json+gzip is good enough (less then 2x cost) compared to very efficient binary serialization methods? I'm looking for space and time costs while serializing various kinds of data. 回答1: Serialising with json+gzip uses 25% more space than rawbytes+gzip for numbers and objects. For limited precision

Performance of gzipped json vs efficient binary serialization

由 邮差的信 提交于 2021-01-27 04:59:27
问题 JSON and Gzip is a simple way to serialize data. These are widely implemented across programming languages. Also this representation is portable across systems (is it?). My question is whether json+gzip is good enough (less then 2x cost) compared to very efficient binary serialization methods? I'm looking for space and time costs while serializing various kinds of data. 回答1: Serialising with json+gzip uses 25% more space than rawbytes+gzip for numbers and objects. For limited precision

Performance of gzipped json vs efficient binary serialization

由 霸气de小男生 提交于 2021-01-27 04:59:09
问题 JSON and Gzip is a simple way to serialize data. These are widely implemented across programming languages. Also this representation is portable across systems (is it?). My question is whether json+gzip is good enough (less then 2x cost) compared to very efficient binary serialization methods? I'm looking for space and time costs while serializing various kinds of data. 回答1: Serialising with json+gzip uses 25% more space than rawbytes+gzip for numbers and objects. For limited precision

Can I set a hard limit to Google Cloud Platform spend? if yes, how?

由 谁说胖子不能爱 提交于 2020-03-21 20:25:08
问题 I'd like to make sure I don't spend too much money in GCP (Google Cloud Platform) usage, but I'm not sure of the way to do so, if such a way exist. So I tried creating budgets in GCP, but I doubt these are hard cap, since the documentation and this question (though asking about google developer console, therefore my question isn't, I think, a duplicate) seem to suggest Google budgets are simply sending notification, but don't put hard cap on your GCP usage. Thank you for your help. 回答1: It is

What does setting the automatic_scaling max_idle_instances to zero (0) do?

由 谁说胖子不能爱 提交于 2019-12-20 05:24:15
问题 What does setting the automatic_scaling max_idle_instances to zero (0) do? automatic_scaling: max_idle_instances: 0 min_idle_instances: 0 Does it cause an active instance to shutdown immediately once it has finished processing it's current requests? 回答1: Technically you can't even set max_idle_instances it to 0 , you'll see this error at deployment time: Error 400: --- begin server output --- automatic_scaling.max_idle_instances (0), must be in the range [1,1000]. --- end server output ---

What does setting the automatic_scaling max_idle_instances to zero (0) do?

由 流过昼夜 提交于 2019-12-02 02:51:21
What does setting the automatic_scaling max_idle_instances to zero (0) do? automatic_scaling: max_idle_instances: 0 min_idle_instances: 0 Does it cause an active instance to shutdown immediately once it has finished processing it's current requests? Technically you can't even set max_idle_instances it to 0 , you'll see this error at deployment time: Error 400: --- begin server output --- automatic_scaling.max_idle_instances (0), must be in the range [1,1000]. --- end server output --- Deploying a version with a lower number than the one already deployed might not (immediately) shut down idle
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