Home » Azure » Azure Monitor Data Ingestion Workbook

Contoso.se

Welcome to contoso.se! My name is Anders Bengtsson and this is my blog about Microsoft infrastructure and system management. I am a principal engineer in the FastTrack for Azure team, part of Azure CXP, at Microsoft. Contoso.se has two main purposes, first as a platform to share information with the community and the second as a notebook for myself.

Everything you read here is my own personal opinion and any code is provided "AS-IS" with no warranties.

Anders Bengtsson

MVP
MVP awarded 2007,2008,2009,2010

My Books
Service Manager Unleashed
Service Manager Unleashed
Orchestrator Unleashed
Orchestrator 2012 Unleashed
OMS
Inside the Microsoft Operations Management Suite

Contoso.se

Welcome to contoso.se! My name is Anders Bengtsson and this is my blog about Azure infrastructure and system management. I am a senior engineer in the FastTrack for Azure team, part of Azure Engineering, at Microsoft.  Contoso.se has two main purposes, first as a platform to share information with the community and the second as a notebook for myself.

Everything you read here is my own personal opinion and any code is provided "AS-IS" with no warranties.



MVP awarded 2007,2008,2009,2010

My Books

Service Manager Unleashed


Orchestrator 2012 Unleashed


Inside the Microsoft Operations Management Suite

Azure Monitor Data Ingestion Workbook

Last couple of weeks Vanessa and I have been working with analyzing costs for a Log Analytics workspace. As part of this work, we built a workbook, and of course, we want to share this workbook with the community

The idea with the workbook is to help identify the top data ingestion sources, especially around Computers, to help with optimizing the costs of using Azure Monitor. The workbook has two tabs, one to look at cost based on computer and one to look at cost by data type.

The “By computer” tab visualizes the total amount of ingested data by the server and the estimated data ingestion cost for this data. The price is calculated on a parameter where you input cost per GB. If you select a server, in this example dc01, another table will be visualized to show the amount of data, for each data type, for the selected server. For instance, in the screenshot, we can see that dc01 has ingested 1.13 GB performance data.

The second tab, “By data type” tab, visualize the total amount of ingested data by data type, and the estimated data ingestion cost for this data.

The “Azure Diagnostic” tab visualizes the total amount of ingested data by Azure Diagnostics, and the estimated data ingestion cost for this data.

The “Trends” tab compare data ingestion between two time periods. This tab visualize the ingestion difference between the two time periods and if the trend is decreased on increased.

The workbook is provided as a sample of what is possible. It does not replace current cost management tools or invoices from Microsoft. The costs in this workbook are estimated prices only and are not an official statement or invoice from Microsoft.

Download the workbook at GitHub.


2 Comments

  1. Hi Anders,

    Just a small correction – you missed one “zero” in your calculation 🙂
    104857600 instead of 1048576000

Leave a comment

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.