How to run Azure Cognitive Services in containers?

Azure Cognitive Services is one of prebuild products that allows us to add AI to our application very quickly. You can develop AI features without the required help of a data scientist. In most cases, you are using the cloud version of this service. When just after creating a service, you can connect to is by library or API. When to use containers? In some cases, this is not enough. You would like better control your data, smaller latency, higher throughput, or improved scalability. These characteristics are the most important for me when I think about moving those services to [...]

By |2021-08-09T18:59:45+02:009 August 2021 |Categories: Azure|Tags: , , , , , |0 Comments

Azure cloud cost optimisation: Autoscaling Azure SQL database by Logic Apps

Azure cloud gives you a lot of possibilities of adjusting used services to your needs. It means that you are able to adjust the costs of used resources. In the cloud, you are able to use a lot of auto-tuning options that are working right out of the box. Together with that, there are plenty of possibilities to do in the way that you will have the whole control over the process. Today I will focus on Azure SQL database. […]

By |2021-02-03T07:53:01+01:003 February 2021 |Categories: Azure|Tags: , , , , |0 Comments

The Cloud 100 2020 Benchmarks Report

The 2020 Cloud 100 list represents an astonishing $267 billion of equity value. WOW. From 2019 this value of these companies increased by more than 60%. Across all the companies for which pricing data was disclosed, the average Cloud 100 valuation was ~25x ARR in its most recent round of financing. It is an excellent example of how the cloud helps your business grow. See more: The Cloud 100 2020 Benchmarks Report

By |2020-10-19T09:06:48+02:0019 October 2020 |Categories: Azure|Tags: |0 Comments

Hands-on Azure DevOps – 4Developers Kraków 2019

During this recording, you can learn how to use Azure DevOps for Azure environment provisioning, a compilation of application and releasing it to cloud. Also, you will learn what the blue-green deployment is and how to configure it in Azure DevOps.

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