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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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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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How to maximize serverless benefits and overcome its challenges

Dynatrace

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Then, they can apply DevSecOps best practices to fully test new code and see what breaks without affecting current operations. No infrastructure to maintain.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. What are the typical use cases for AWS Lambda?

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What is function as a service? App development gets FaaS and furious

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This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Automatically detect all applications, services, processes, and infrastructure at the start. Service mesh. Auto-discovery.

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How to overcome the cloud observability wall

Dynatrace

Let’s explore this concept as we look at the best practices and solutions you should keep in mind to overcome the wall and keep up with today’s fast-paced and intricate cloud landscape. But what exactly is this “wall,” and what are the big-picture implications for your organization? Let’s break it down.

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