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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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Dynatrace Perform 2022 delivers software intelligence as code, real-time attack blocking

Dynatrace

For operations, development and security teams, the pressure to deliver better, more secure software faster has never been more critical for business value. At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace news.

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

Dynatrace

As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure. at Venetian Delfino 4006.

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What is Serverless Architecture?

cdemi

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. It just means that from Software Development perspective, servers are abstracted and outsourced to another entity, so you don't need to worry about it. Serverless systems are still in their infancy.

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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. Modern IT organizations are generating more data from more tools and technologies than ever.

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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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