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What is Google Cloud Functions?

Dynatrace

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

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

Dynatrace

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. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

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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. Hyperscaler cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform can do this, too. They can send a notification saying, “This server is oversized.”

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Breaking data silos: Liquid Reply’s journey to custom API observability with OpenTelemetry and Dynatrace

Dynatrace

Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. Although the APIs were all managed by the Google API manager Apigee, the bank group was not getting consistent data types from the output.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5 million AI server units annually by 2027, consuming 75.4+

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What is OpenShift? And how to make OpenShift monitoring easy

Dynatrace

It also protects your development infrastructure at scale with enterprise-grade security. Self-hosted Kubernetes installations or services — such as Amazon EKS, Azure Kubernetes Service, or the Google Kubernetes Engine — make it possible for enterprises to select and implement best-fit functions. Scale and manage infrastructure.