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re:Invent Serverless Talks — Serverless SaaS Deep Dive

Stackery

But after two days of discussing serverless development and AWS tooling with the many awesome folks who have visited the Stackery booth (plus the primer I attended on day one) I was actually feeling pretty limber for the marathon that was “Serverless SaaS Deep Dive: Building Serverless on AWS”. Serverless for SaaS.

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Monitoring Cloudera DataFlow Deployments With Prometheus and Grafana

Cloudera

It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. In this blog we will dive into how CDF-PC’s support for NiFi reporting tasks can be used to monitor key metrics in Prometheus and Grafana.

Metrics 108
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GenASL: Generative AI-powered American Sign Language avatars

AWS Machine Learning - AI

In this post, we dive into the architecture and implementation details of GenASL, which uses AWS generative AI capabilities to create human-like ASL avatar videos. The following diagram shows a high-level overview of the architecture. This tool is essential for building and deploying serverless applications.

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re:Invent 2019 Serverless Talks - Scaling Up to Your First 10 Million Users

Stackery

In addition to setting up shop in the Expo hall with the team to chat with re:Invent guests about their current serverless development workflows (and how Stackery can supercharge it), I made sure to attend some choice presentations this week. That’s serverless for ya! I’ll get back to this with an aside/caveat in a moment. lightbulb ).

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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning - AI

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using the Amazon Web Services (AWS) tools without having to manage infrastructure. The following diagram depicts a high-level RAG architecture.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. The following figure illustrates the core architecture for the NLQ capability.

AWS 104
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Serverless at re:Invent 2017

Mike Roberts

the Functions-as-a-Service (FaaS) platform which is the core of AWS’ larger Serverless service suite. Traffic shaping / canary deployment was pre-announced at Serverless Conf NYC in October, and this is now available. out-of-the-box metric?—?‘concurrent Let’s dig in! It’s no longer a niche technology for enthusiasts?—?it’s