Stackery

DECEMBER 6, 2019

Tod introduced a high-level sample architecture for SaaS with serverless: web application (in this case, React hosting in an S3 Bucket) ? and the actual application services; in this case, a Lambda Function. The architecture went something like this: Tenant 1 and 2 ? tenant context, role, etc) Custom authorizer Lambda.

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AWS Machine Learning - AI

MAY 30, 2024

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

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AWS Machine Learning - AI

AUGUST 26, 2024

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.

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AWS Machine Learning - AI

MARCH 27, 2024

This requires carefully combining applications and metrics to provide complete awareness, accuracy, and control. The zAdviser uses Amazon Bedrock to provide summarization, analysis, and recommendations for improvement based on the DORA metrics data. It’s also vital to avoid focusing on irrelevant metrics or excessively tracking data.

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AWS Machine Learning - AI

DECEMBER 6, 2023

Then we introduce you to a more versatile architecture that overcomes these limitations. We also present a more versatile architecture that overcomes these limitations. In practice, we implemented this solution as outlined in the following detailed architecture. The search precision can also be improved with metadata filtering.

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Honeycomb

NOVEMBER 28, 2022

As a Honeycomb Pro or Enterprise user, you can also send metrics to Honeycomb from any AWS service that publishes metrics to CloudWatch Metrics. These integrations use a combination of serverless technologies, including AWS Kinesis Data Firehose and AWS Lambda , so that you don’t have to run extra infrastructure or agents.

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Mike Roberts

DECEMBER 6, 2017

It’s funny to think that AWS Lambda was announced at re:Invent only 3 years ago?—?the the industry and Lambda platform both have moved forward a long way since. This year’s re:Invent saw a lot of incremental improvements for Lambda and its related services. We saw some big new products and features from Lambda’s AWS neighbors.

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