Remove Examples Remove Lambda Remove Scalability Remove Storage
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Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda (Part 1)

Dzone - DevOps

This was not only about rewriting applications, but the backend data stores were also redesigned in terms of dynamic scalability , high performance, and flexibility for event-driven architecture.

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Build scalable Low-Code backends with Booster

The Agile Monkey

However, these tools may not be suitable for more complex data or situations requiring scalability and robust business logic. In short, Booster is a Low-Code TypeScript framework that allows you to quickly and easily create a backend application in the cloud that is highly efficient, scalable, and reliable. WTF is Booster?

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Techniques and approaches for monitoring large language models on AWS

AWS Machine Learning - AI

Our proposed architecture provides a scalable and customizable solution for online LLM monitoring, enabling teams to tailor your monitoring solution to your specific use cases and requirements. The file saved on Amazon S3 creates an event that triggers a Lambda function. The function invokes the modules.

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AWS Lambda: The Honcho of the Serverless World

RapidValue

One such service is their serverless computing service , AWS Lambda. For the uninitiated, Lambda is an event-driven serverless computing platform that lets you run code without managing or provisioning servers and involves zero administration. How does AWS Lambda Work. Why use AWS Lambda? Read on to know. zip or jar.

Lambda 61
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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

The workflow consists of the following steps: A user uploads multiple images into an Amazon Simple Storage Service (Amazon S3) bucket via a Streamlit web application. The DynamoDB update triggers an AWS Lambda function, which starts a Step Functions workflow. In this example, the prompt for the background is “London city background.”

AWS 113
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High-performance computing on AWS

Xebia

It provides a powerful and scalable platform for executing large-scale batch jobs with minimal setup and management overhead. Key features of AWS Batch Efficient Resource Management: AWS Batch automatically provisions the required resources, such as compute instances and storage, based on job requirements.

AWS 147
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Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

Perficient

Scalability Demands As the volume of data grows, the systems have to handle & manage the data without compromising on performance. Organized Data Storage AWS S3 (Simple Storage Service) stores the structured, unstructured, or semi-structured data. Scalability AWS provides EC2 instances that can be scaled up or down.