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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

As a strategic ISV partner, Dynatrace and Azure are continuously and collaboratively innovating, focusing on a strong build-with motion dedicated to bringing innovative solutions to market to deliver better customer value. Read on to learn more about how Dynatrace and Microsoft leverage AI to transform modern cloud strategies.

Cloud 263
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Reducing Your Database Hosting Costs: DigitalOcean vs. AWS vs. Azure

Scalegrid

In this article, we are going to compare three of the most popular cloud providers, AWS vs. Azure vs. DigitalOcean for their database hosting costs for MongoDB® database to help you decide which cloud is best for your business. We compare AWS vs. Azure vs. DigitalOcean using the below instance types: AWS. EC2 instances. VM instances.

Azure 344
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The Best Way to Host MySQL on Azure Cloud

Scalegrid

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. While Microsoft Azure does offer a managed solution, Azure Database, the solution has some major limitations you should know about before migrating your MySQL deployments. The Best Way to Host MySQL on Azure Cloud Click To Tweet.

Azure 219
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Indexed View for Aggregating Metrics

DZone

Microsoft Azure SQL is a robust, fully managed database platform designed for high-performance querying, relational data storage, and analytics. Azure SQL is a great choice to consider for storing and querying this data under certain conditions:

Metrics 165
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Set up AI-powered observability for your Microsoft Azure cloud resources in just one click

Dynatrace

When customers utilize the services of a specific cloud provider, such as Microsoft Azure, users within the organization eventually become experts in working with, administering, and managing the cloud resources of that provider. To establish the necessary monitoring, the observability team typically must be granted new setup permissions.

Azure 246
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Performing Sentiment Analysis Video

DZone

This video talks about an end-to-end flow, wherein an email content having a specific subject line will be read, the email body would be analyzed using Azure Cognitive Services (Sentiment analysis), analysis results would be saved in Azure Table Storage and finally, the chart would be drawn in Excel.

Azure 246
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Partitioning Hot and Cold Data Tier in Apache Kafka Cluster for Optimal Performance

DZone

At first, data tiering was a tactic used by storage systems to reduce data storage costs. This involved grouping data that was not accessed as often into more affordable, if less effective, storage array choices. Even though they are quite costly, SSDs and flash can be categorized as high-performance storage classes.

Azure 223