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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.

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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning - AI

In this post, you will learn how to extract key objects from image queries using Amazon Rekognition and build a reverse image search engine using Amazon Titan Multimodal Embeddings from Amazon Bedrock in combination with Amazon OpenSearch Serverless Service. An Amazon OpenSearch Serverless collection. b64encode(resized_image).decode('utf-8')

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

Organizations leverage serverless computing and containerized applications to optimize resources and reduce infrastructure costs. Frameworks now focus on ethical AI practices, fairness metrics, and bias mitigation to build trust and ensure accountability.

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Lumigo raises $29M for its cloud-native application monitoring platform

TechCrunch

The company started with a focus on distributed tracing for serverless platforms like AWS’ API Gateway, DynamoDB, S3 and Lambda. “Most other Observability platforms have just tacked serverless features onto what were essentially legacy products,” said Lumigo CEO Erez Berkner.

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Cloud-Scale Monitoring With AWS and Datadog

In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently.

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PKU Protein Puzzle: A Containerized Streamlit Approach

Xebia

Logging and Monitoring : Application Insights and Opentelemetry to log key metrics and monitor app usage. Azure Monitor captures key metrics, such as session IDs, total protein, and food weight, and whether AI feedback was requested. AI Integration : Azure OpenAI to provides AI-generated feedback on the menu.

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability. Review the model response and metrics provided.