Timothy Smith
In Settings under our container in our Azure Cosmos DB, we see the options that we’ll use for our template

Creating Containers with PowerShell For Azure Cosmos DB

May 30, 2019 by

In many situations, we will develop, test or prove new concepts by horizontally scaling new SQL API containers in Azure Cosmos DB over possibly using existing containers. As we’ve seen in previous tips, we can create and remove Cosmos database accounts and databases by using the Azure Portal or PowerShell’s Az module along with making some updates to the configuration, such as the RUs for performance reasons. Similarly, we can create and remove a container through the Azure Portal along with creating and removing the container with PowerShell’s Az module.

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Timothy Smith
By querying Azure cost information, we can share with development and improve to reduce costs

Extract Azure Costs Using PowerShell

May 20, 2019 by

With strong organization and design for our development teams, cloud infrastructure and security considerations, we’ll now extract Azure cost information that we can share with our organization. In addition, we will see that we can retain this information if needed to track growth (or reduction) in costs. This step is important as it will allow our teams to have an insight into their development and it will also be another audit we can use on the security side to catch unusual growth (or significant reductions) in resource costs that may be the result of an attacker. Our ultimate goal with tracking these costs and sharing them with teams is to improve our development and possibly re-organize it as needed, giving us the ability to further reduce our spending.

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Timothy Smith
Compare auditing Azure costs using self-auditng on the same App Service versus an independent server auditing

User Security and Risks to Azure Costs

May 16, 2019 by

We’ve looked at both the organization and development side of managing Azure costs. One risk we have is attackers who compromise an account and mis-scale resources (such as scaling up), driving up our costs. Another scenario is attackers scaling resources too low that affects client’s ability to do their work (performance problems) – a separate risk that may result in lower costs on the cloud side, but higher costs against our reputation. A third risk is reconnaissance of our Azure use: this allows the attackers to get information about our design and later make a wide range of attacks that will appear as normal to us – in this case, Azure costs may be only one of the impacts with other impacts being as severe.

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Timothy Smith
We can also add tags without scripts by selecting the tag option under the Azure asset.

Controlling Azure Costs Using Scaling and Tags

May 13, 2019 by

Depending on our design and security, we can create functions or use built-in tools to control our Azure costs. In some contexts, we may look at the overall cost of what tools we’re using, which the Azure portal conveniently shows. Applying what we’ve looked at on the organization and development level, we can organize resources on their design (or ad hoc, as we’ll see) along with creating scripts that control our scale for situations where we may want higher or lower scale. We’ll look at both of these scenarios and how they can help us in both organization and development contexts.

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Timothy Smith

Getting Started with Azure Cosmos DB

February 11, 2019 by

In the past two years, we’ve seen an explosion in growth with document-oriented databases like Azure Cosmos DB. MongoDB – one of the major document databases – went live on the Nasdaq and attracted some attention in the past year as well. While more developers are using the document structure for some appropriate data models, less than 10 years ago, some in the industry were predicting that document databases were unnecessary and wouldn’t last because all data could be flattened to fit the SQL model. I took the opposite approach, being an early adopter of MongoDB along with continuing to use SQL databases as I saw opportunities in both SQL and NoSQL for various data structures. While some data do fit the SQL model and SQL will continue to exist, some data are best for document databases, like Azure Cosmos DB. In this series, we’ll be looking at the why and how of document databases.

Prashanth Jayaram

Graph database implementation with Azure Cosmos DB using the API

November 5, 2018 by

In my previous article, I’ve discussed a lot about the Graph database implementation with SQL Server 2017. In this case, we’ll see a walk-through of Graph API integration with Azure Cosmos DB.

Before we jump into the concepts though, let’s take a high-level overview of NoSQL databases. A NoSQL database is designed in such a way that no extra efforts are needed for the database to be distributed because NoSQL Database designed that way.

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