Category: Cloud

Emanuele Meazzo points out a benefit from being in the cloud—performance tuning has a direct monetary tie:

A single step up for a single DB can cost from 10% to 25% more than the previous sizing, which translates in 15K or more when dealing with higher specs databases; remember that this is for a single scale up, on a single DB, on a single year.

It’s easy to understand that if your database and/or queries are not well tuned because “scaling will take care of it eventually”, then, you’ll be secretly bleeding money.

We can quantify performance improvements in terms of resource savings, but tying that to the specific business benefits can be hard because that hardware is a capital expenditure and so much of tuning benefits are “we avoided this worse case” rather than “we actively scaled something down.”

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Joey D’Antoni has a few real-world challenges with migrating to Azure SQL Managed Instances:

While DMS is pretty interesting tooling, I had mostly ignored it until recently. Functionally, the tool works pretty well. The problem is it requires a lot of privileges–you have to have someone who can create a service principal and you need to have the following ports open between your source machine and your managed instance:

– 443
– 53
– 9354
– 445
– 12000

While the scope of those firewall rules is limited, in a larger enterprise, explaining why you need port 445 open to anything is going to be challenging.

The technology is intriguing, though it does seem like there are still some kinks to work out.

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Hasan Savran shows us how we can use Cosmos DB’s change feed to track changes to documents in a container:

This is great but I want to do more than that. How am I going to access to changed data? What should I do if there is more than one change or insert? In my case, I need to access to SensorCode attribute so I can do something about this alert. To answer these questions, you need to know more about the Azure Functions. If you can see the number of modified documents by this code, that means you are done with Change Feed functionality. First, we need some kind of loop so if the code can process multiple changes. To do that, I will use a simple foreach loop.

The thing which comes to mind when I hear about Cosmos DB’s change feed is Kafka, with that immutable log of actions you can read through.

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Arun Sirpal wants to shuffle deck chairs in Azure:

As you can see I have a standard elastic pool which has 7 databases within it. I also have CloudDB and CRMDB that are single databases but not yet part of my elastic pool. How do I move them into it?

Click through to learn how to do this.

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