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NiFi as a Function in DataFlow Service

Cloudera

NiFi as a Function in DataFlow Service provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. Functions as a Service (FaaS) is a category of cloud computing services that all main cloud providers are offering (AWS Lambda, Azure Functions, Google Cloud Functions, etc).

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5 Questions to Ask Before Going Serverless

Modus Create

Since it was an isolated feature, we created a separate Lambda function for it on AWS. Serverless architecture usually requires expertise in event-driven programming, microservices, and a deep understanding of the enterprise cloud ecosystem. Are you comfortable with higher OpEx for lower CapEx? Is vendor lock-in a major concern?

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

AWS Step Functions is a fully managed service that makes it easier to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function helps you scale more easily and change applications more quickly.

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re:Invent Serverless Talks — Serverless SaaS Deep Dive

Stackery

And microservice-composition is much more interesting when you don’t have to worry about scaling. Once you introduce microservices, the kind of problems you’re chasing are simpler. and the actual application services; in this case, a Lambda Function. tenant context, role, etc) Custom authorizer Lambda.

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Ask Miss O11y: Do I Need Observability If My Stack Is Boring?

Honeycomb

Observability came out of microservices and cloud-native, right? On both counts—yeah, it sorta came out of microservices and cloud native, and yeah sorta, you need it with a simpler architecture (though perhaps not as desperately as you otherwise might). The need for observability grew forth from microservices and cloud native.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

Given that it is at a relatively early stage, developers are still trying to grok the best approach for each cloud vendor and often face the following question: Should I go cloud native with AWS Lambda, GCP functions, etc., or invest in a vendor-agnostic layer like the serverless framework ?

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Three Patterns for an Effective Cloud Native Development Workflow

Daniel Bryant

microservices, containers, orchestrators?—?require This tool provides a CLI and Docker-based replication of a production serverless environment in order to enable the efficient local development of AWS Lambda functions that use associated AWS services such as Amazon API Gateway and DynamoDB. require new developer workflow patterns.