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Cloud infrastructure monitoring in action: Dynatrace on Dynatrace

Dynatrace

At Dynatrace we host most of our Dynatrace SaaS clusters for paying customers as well as trial users in the Amazon Web Services (AWS) cloud. Since we moved to AWS in May 2014 we have had an availability of 99.95%! The AWS team confirmed a known hardware issue affecting a certain amount of EC2 machines in that region.

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AWS serverless services: Exploring your options

Dynatrace

Amazon Web Services (AWS), offers a wide range of serverless solutions. To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. AWS serverless offerings. Simplicity. The first benefit is simplicity.

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Dynatrace achieves AWS Outposts Ready designation

Dynatrace

As an Amazon Web Services (AWS) Advanced Technology Partner, Dynatrace easily integrates with AWS to help you stay on top of the dynamics of your enterprise cloud environment?. We’re therefore excited to announce that Dynatrace has received the AWS Outposts Service Ready designation. What is AWS Outposts?

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

Dynatrace

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. Dynatrace news. With public clouds, multiple organizations share resources.

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What is AWS Lambda?

Dynatrace

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem? Dynatrace news.

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How To Run a Docker Container on the Cloud: Top 5 CaaS Solutions

DZone

Containerization simplifies the software development process because it eliminates dealing with dependencies and working with specific hardware. You could certainly deploy these containers to servers on your cloud provider using Infrastructure as a Service (IaaS). But, it can be quite confusing how to run a container on the cloud.

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In-House Model Serving Infrastructure for GPU Flexibility

DZone

Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure. Why Choose In-House Model Serving Infrastructure?