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Category: Cloud

Serving Databricks Models via API Management Endpoints

Published 2025-03-10 by Kevin Feasel

Drew Furgiuele makes available a model:

When it comes to generative AI projects I’d argue that the hardest and most tedious part has moved into a new area: hosting and serving your models. Whether you’re working with CPU intensive models, or models that require GPU horsepower, sourcing the hardware, building out deployment pipelines, configuring monitoring, and then securing everything is real, serious work that requires everyone to lean in to get it right.

And then, there’s the real question of how you’re going to use those models: will you be setting up automation and doing batch processing using your models and infrastructure? Or do you want to get really serious and offer up real-time inference? If the latter, you can add one more thing to solve for: managing your front-end APIs that you will have to build to support that use case.

Click through to see how you can use an API management tool (like Azure API Management) to assist in these things.

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Load Testing Azure SQL Databases

Published 2025-03-10 by Kevin Feasel

Reitse Eskens sets the stage:

Some time ago, I wrote a number of blogposts comparing the different Azure SQL options to give you some idea about performance, differences between tiers and differences between the Stock Keeping Units (SKU’s). This was done by creating data in the database itself and review the metrics. This works fine and gave a good overview of the different tiers and SKU’s. For reference, you can find those blogs here.

For the new series, I’ve thought of a new process that aligns more with my regular line of work, data warehousing. This means ingesting a lot of data and modelling it.

Click through for the summary of method and initial notes.

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Cleaning up Azure Container Registries

Published 2025-03-07 by Kevin Feasel

Jess Pomfret does a bit of cleanup work:

Azure Container Registries can easily become cluttered with many versions of images. Did you know that each ACR sku comes with a certain amount of storage included, and when you go over that, you’ll pay overage charges. Let’s look at how to check your current storage, keep your registry nice and tidy with an ACR clean-up task, and monitor the storage levels so you’ll never pay extra again!

It’s easy to run up the disk space usage with a container registry, especially if you have automated builds running.

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Self-Hosted Integration Runtime Reconnecting to Cloud Service

Published 2025-03-04 by Kevin Feasel

Nivritti Suste handles an error:

In our organization, most data is stored on-premises with a limited set of less critical data is in the cloud. We use Azure to benefit from the cloud environment and Azure Data Factory (ADF) to move data.

With ADF, there are many components that need to integrate within the environment. The data on our on-premises servers needs to be shifted to the cloud periodically and we use Self-hosted Integration Runtime.

Our developers complain an ADF pipeline is failing with error: ‘The Self-hosted Integration Runtime is offline…’ What does this mean?

Click through for the answer.

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Multi-Tenant Data Isolation Strategies

Published 2025-03-03 by Kevin Feasel

Rahul Miglani comes up with a list:

As organizations embrace cloud computing, multi-tenancy has become a popular architectural choice, enabling multiple customers (tenants) to share a single cloud environment. However, one of the biggest challenges in multi-tenancy is data isolation—ensuring that each tenant’s data remains private, secure, and accessible only to authorized users.

Microsoft Azure provides several data isolation strategies that allow businesses to securely manage and scale multi-tenant applications while ensuring compliance with regulatory standards like GDPR, HIPAA, and SOC 2.

In this blog, we will explore key data isolation strategies in multi-tenancy Azure architecture, their advantages, and best practices for implementation.

Reading through the list, the same set of options are available on-premises, though the calculus can be a bit different.

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Microsoft Fabric Quotas

Published 2025-02-26 by Kevin Feasel

Mihir Wagle puts the kibosh on things:

On February 24, 2025, we launched Microsoft Fabric Quotas, a new feature designed to control resource governance for the acquisition of your Microsoft Fabric capacities. Fabric quotas aimed at helping customers ensure that Fabric resources are used efficiently and help manage the overall performance and reliability of the Azure platform while preventing misuse.

Note that these are not quotas you set on your users, but rather quotas that Microsoft sets on you.

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Failover Groups in Azure SQL Database

Published 2025-02-21 by Kevin Feasel

Mika Sutinen looks at some interesting functionality:

One of the interesting features in Azure SQL Database is the Failover Groups. It allows you to manage replication of an Azure SQL database, or group of databases, to another logical server. The reason I’ve bolded the manage replication is, that the replication itself is handled by active geo-replication, which is also a feature of Azure SQL Database.

Read on to see how these are different and why you might want to use failover groups.

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Migrating Azure PostgreSQL Single Server to Flex via pg_dump

Published 2025-02-19 by Kevin Feasel

Josephine Bush changes server type:

This is more complicated than using the Azure Migration method, but because it’s maxed out on resources for the last week in the east regions (and possibly central), and who knows when they will fix it, I had to resort to other methods. I’m getting on flex sooner than later. I want to get this over with and get to those performance improvements and better features. I will preface this all by saying, if you have big databases, this may not be the right path for you. Look into streaming replication or wait for Microsoft to fix their migration tool and do an online migration via that. Also, if you don’t have strong Postgres skills, this is far more complicated than the migration tool in Azure, far more complicated.

Click through for the step-by-step instructions.

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