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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Performing updates, installing software, and resolving hardware issues requires up to 17 hours of developer time every week.

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Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities

Dynatrace

They use the same hardware, APIs, tools, and management controls for both the public and private clouds. Amazon Web Services (AWS) Outpost : This offering provides pre-configured hardware and software for customers to run native AWS computing, networking, and services on-premises in a cloud-native manner.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

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AWS serverless services: Exploring your options

Dynatrace

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications.

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DBaaS vs Self-Managed Cloud Databases

Scalegrid

This type of database offers scalability with no downtime along with giving businesses control over what resources they use through customization capabilities such as choosing hardware infrastructure options or building security measures around it. These advantages come at an expense.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

This gives you deep visibility into your code running in Azure Functions, and, as a result, an understanding of its impact on overall application performance and user experience. Code-level visibility continues to be supported for.NET-based functions running in an App Service plan. Optimize your code with code-level visibility.

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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Logs can include data about user inputs, system processes, and hardware states. With the complexity of modern multicloud environments, traditional aggregation and correlation approaches are inadequate to quickly discover faulty code, anomalies, and vulnerabilities. ” Watch webinar now!

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