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How to maximize serverless benefits and overcome its challenges

Dynatrace

Some organizations prefer a serverless approach. Serverless computing provides on-demand access to back-end services on a per-use basis. While serverless benefits have driven substantial market growth over the past few years, there are also disadvantages to serverless computing. Cost-effectiveness. Faster time to market.

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

Dynatrace

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. What are serverless applications?

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Monitoring Serverless Applications

Dotcom-Montior

Serverless. Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Benefits of a Serverless Model. Benefits of a Serverless Model.

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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. In this case, the bank group could not rely solely on Google Cloud Trace because they needed to collect traces and monitor the applications across all their systems.

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AWS re:Invent 2021 shines light on cloud-native observability

Dynatrace

According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. Further, Forrester predicted that 25% of developers will use serverless technologies and nearly 30% will use containers regularly by the end of 2021.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

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Support for Azure Functions

Particular Software

Microsoft Azure Functions provide a simple way to run your code in the Azure Cloud. They are easy to deploy, scale automatically, and provide many out-of-the-box ways to trigger your code. Rather than pay for an entire virtual machine, you only pay for compute while your code is being executed.

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