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Event-Driven Architecture With Serverless Functions – Part 1

Dzone - DevOps

EDA and serverless functions are two powerful software patterns and concepts that have become popular in recent years with the rise of cloud-native computing. While one is more of an architecture pattern and the other a deployment or implementation detail, when combined, they provide a scalable and efficient solution for modern applications.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Store embeddings into the Amazon OpenSearch Serverless as the search engine.

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5 Questions to Ask Before Going Serverless

Modus Create

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Was serverless really cloud 2.0 Serverless architecture’s popularity has risen over the past 5 years. While serverless brings immense benefits to businesses, it’s important not to rush into it.

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Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda (Part 1)

Dzone - DevOps

With the growth of the application modernization demands, monolithic applications were refactored to cloud-native microservices and serverless functions with lighter, faster, and smaller application portfolios for the past years.

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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. On the other hand, using serverless solutions from scratch can be time-consuming and require a lot of effort to set up and manage. You just want to move fast and only care about your business logic , right?

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5 modern challenges in data integration and how CIOs can overcome them

CIO

For example, two data sources may have different data types of the same field or different definitions for the same partner data. This complicates synchronization, scalability, detecting anomalies, pulling valuable insights, and enhancing decision-making. MonkeyLearn, for example, implements ML algorithms for finding patterns.

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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. build high performant, scalable web applications across multiple data centers).