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What is Azure Functions?

Dynatrace

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 136
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Cloud operations and observability boost resilience for American Family

Dynatrace

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Step 2: Instrument compute and serverless cloud technologies.

Cloud 163
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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

New cloud-native technologies make observability more important than ever…. Every tap in a mobile app triggers requests that, potentially, travel through a myriad of microservices, routed from one service to the next by service meshes, calling several serverless functions. This is where Dynatrace comes into play.

Analytics 152
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What are microservices? An agile architecture for software development

Dynatrace

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value.

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What are microservices? An agile architecture for software development

Dynatrace

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value.

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Serverless in the wild: characterizing and optimising the serverless workload at a large cloud provider

The Morning Paper

Serverless in the wild: characterizing and optimising the serverless workload at a large cloud provider , Shahrad et al., Using this policy, users see much fewer cold starts, while the cloud provider uses fewer resources. trigger type) for every function invoked across Azure for the days in question. arXiv 2020.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

Even in heavily regulated industries, such as banking and government agencies, most organizations find the monolithic approach too slow to meet demand and too restrictive for developers. Serverless platforms. One team may build it, but three separate DevOps and IT teams must maintain it. Service mesh. How do you monitor microservices?