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

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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. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

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

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When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. To address these issues, organizations that want to digitally transform are adopting cloud observability technology as a best practice. Common use-cases for AWS Lambda in the enterprise (and how to get observability for them.

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

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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. Functional FaaS best practices. In-depth, AI-driven metrics can help to manage this simplicity. How does function as a service work?

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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. A few best practices. Microservices benefits.

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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. A few best practices. Microservices benefits.

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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. Monitoring and alerting tools and protocols help simplify observability for all custom metrics. Serverless platforms.

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How to overcome the cloud observability wall

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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. Modern operating systems provide capabilities to observe and report various metrics about the applications running.

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