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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. This enhancement allows AWS users to stream response payloads back to clients. To learn more about the AWS Lambda features, visit the Lamba features page.

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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%! Sydney, we have a disk write latency problem!

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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?

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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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How to maximize serverless benefits and overcome its challenges

Dynatrace

Despite the name, serverless computing still uses servers. This means companies can access the exact resources they need whenever they need them, rather than paying for server space and computing power they only need occasionally. If servers reach maximum load and capacity in-house, something has to give before adding new services.

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Migrating Netflix to GraphQL Safely

The Netflix TechBlog

Before GraphQL: Monolithic Falcor API implemented and maintained by the API Team Before moving to GraphQL, our API layer consisted of a monolithic server built with Falcor. A single API team maintained both the Java implementation of the Falcor framework and the API Server. To launch Phase 1 safely, we used AB Testing.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. The platform builds the trigger to initiate the app.