Remove AWS Remove Serverless Remove Testing
article thumbnail

Can serverless fix fintech’s scaling problem?

CIO

With serverless components, there is no need to manage infrastructure, and the inbuilt tracing, logging, monitoring and debugging make it easy to run these workloads in production and maintain service levels. Financial services unique challenges However, it is important to understand that serverless architecture is not a silver bullet.

article thumbnail

Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Breaking AWS Lambda: Chaos Engineering for Serverless Devs

Dzone - DevOps

The Day Our Serverless Dream Turned into a Nightmare It was 3 PM on a Tuesday. Our "serverless" order processing system built on AWS Lambda and API Gateway was humming along, handling 1,000 transactions/minute. The post-mortem revealed the harsh truth: wed never tested failure scenarios. Then, disaster struck.

Lambda 59
article thumbnail

Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. This allows teams to focus more on implementing improvements and optimizing AWS infrastructure. This systematic approach leads to more reliable and standardized evaluations.

article thumbnail

Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Careful model selection, fine-tuning, configuration, and testing might be necessary to balance the impact of latency and cost with the desired classification accuracy. This feature of Amazon Bedrock provides a single serverless endpoint for efficiently routing requests between different LLMs within the same model family.

article thumbnail

Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. The generative AI playground is a UI provided to tenants where they can run their one-time experiments, chat with several FMs, and manually test capabilities such as guardrails or model evaluation for exploration purposes.

article thumbnail

Berlin’s Tilo raises seed round to tackle unstructured data sets with a serverless platform

TechCrunch

The main platforms used at this point include Neo4j, Senzing or Neptune from AWS. Now a new Berlin startup, which has tested its theories after being spun out from a larger corporate, is poised to tackle this thorny problem. Because it’s serverless, the costs scale with the usage, making it cheaper than server-based solutions.