The time has come to publish the Inside Azure Management v4 book. This is the only free book that focuses on Azure Management. If you want you can also support us with purchase from Amazon. Links for both the free and purchasable version you will find below. It is needless to say that the authors of this book Pete Zerger, Tao Yang and Kevin Greene and me have put a lot of effort. Additionally also Ryan Irujo, Alexandre Verkinderen and Bert Wolters have put also a lot of effort in authoring of certain chapters. I would like to thank to all authors for the great work. Comparing v3 to v4 release we have tried to make the existing content better with providing even more examples. Overall we have followed the same guidance as before: trying to give you less content that is already available and focus on tips, tricks, scenarios and examples. Any feedback you can send it to us via e-mail: insidemscloud (at) outlook.com. I hope that you will enjoy our work and you will find it useful.
On 31st of March I will be bringing session for Azure Virtual Day. The title of the session is Tips and Tricks on Azure Monitor Alerts. I will go through the different types of Azure Monitor alerts and will share my insights on using those. You can check the full schedule of the event from the link below:
I have promised that I will write the last part of this series and I am doing it later than never. After the December holidays I have been occupied with some community stuff that hopefully will see light in the next months. Due those community duties I was not able to write the last part sooner.
In this last part we will cover Azure Alerts Common schema. I will try not to cover things that are already in the official documentation but I want to mention a few important things. If you haven’t checked the documentation please do before reading the rest of the blog post.
With the recent capability of setting retention period for Log Analytics data per table a lot of new possibilities of managing and retaining your data pop-up. A common scenario is that you may have a lot of performance data which may be logged every minute or even every 10 seconds. You need that data in such short intervals in your Log Analytics workspace only for the past month or so but you do not need such granularity for older data. At the same time it is good to have some summarization (aggregation) of that data for longer period due to compliance, analysis, etc but there is a cost associated when you retain a lot of data for longer period. By using serverless and the new per table retention capability now you can achieve this and save cost. In this blog I will show you how you can achieve this with simple example.
At Ignite the Azure Monitor team has announced that you can now send subscription activity logs to Log Analytics. Wait? What? Isn’t that already available? And the answer yes it was available before but if we look closer you will see that the previous implementation was not very native to Azure. With the new implementation besides making the API better there are also other improvements like faster ingestion, ability to send different categories, etc.