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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).
With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. automate the handling of support tickets in a call center).
All of this was entirely automated with the software development lifecycle (SDLC) using Terraform and GitHub, which is only possible through SageMaker ecosystem. This system uses AWS Lambda and Amazon DynamoDB to orchestrate a series of LLM invocations. The following diagram visualizes the architecture diagram and workflow.
Serverless computing, or functions-as-a-service, has picked up a lot of attention and speed due to its cost-effective pay-as-you-go price offering, multi-language/runtime support, as well as its easy learning curve without any need to provide the infrastructure layer. Writing serverless functions should also adhere to these same practices.
Serverless architecture Search results for “serverless architecture” over the past 5 years (2/24/2023) Serverless architecture allows developers to create products without managing the underlying infrastructure. implemented security practices earlier in SDLC) or are planning to this year. billion in value.
we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. Think “GitHub Light”, useful if you want to keep your entire SDLC (Software Development LifeCycle) infrastructure in one AWS account. We even put CI/CD front and center in our training courses ?—?we
we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. Think “GitHub Light”, useful if you want to keep your entire SDLC (Software Development LifeCycle) infrastructure in one AWS account. We even put CI/CD front and center in our training courses ?—?we
The workflow consists of the following steps: The users query, expressed in natural language, is processed by an orchestrated AWS Lambda The Lambda function tries to find the query match from the LLM cache. The following figure depicts the technical flow of the solution. If a match is found, the response is returned from the LLM cache.
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