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Azure Monitoring Agent: Key Features and Benefits

DZone

As organizations migrate their workloads to the cloud, robust monitoring and management tools are paramount to ensure optimal performance, security, and efficiency. AMA is a lightweight yet potent agent that plays a crucial role in collecting and transmitting telemetry data from various resources within the Azure ecosystem.

Azure 223
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Dynatrace SaaS on Azure now Generally Available

Dynatrace

In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. Today, we are excited to provide an update that Dynatrace SaaS on Azure is now generally available (GA) to the public through Dynatrace sales channels.

Azure 320
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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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Improve your cloud deployments with automated observability into your Azure Deployment Slots

Dynatrace

With Azure Deployment Slots, a feature of the Azure App Service, you can create one or more slots that can host different versions of your app. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. .

Azure 132
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Why you need Dynatrace on Azure Workloads

Dynatrace

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace.

Azure 137
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

However, serverless applications have unique characteristics that make observability more difficult than in traditional server-based applications. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.

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Driving your FinOps strategy with observability best practices

Dynatrace

Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data. Are there rogue servers running in the environment where ITOps, CloudOps, or another team can’t assign or identify who’s financially responsible for it?