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Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

Leveraging Serverless and Generative AI for Image Captioning on GCP In today’s age of abundant data, especially visual data, it’s imperative to understand and categorize images efficiently. TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

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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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Serverless is easier than you think

The Agile Monkey

When serverless pops up in conversation, there is sometimes an uncomfortable silence in the room. This is possibly because the majority of us don’t know much about serverless. Serverless is the new paradigm for building applications. As a result, we only have to think about our code, architecture and which services to use.

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Exploring Quarkus vs Spring Boot

Apiumhub

Quarkus excels in scenarios where fast startup times and small container sizes are paramount, such as serverless computing, IoT, and edge computing. Spring Boot’s ecosystem includes different libraries and modules for building scalable, maintainable applications, such as Spring Data, Spring Security, and Spring Cloud.

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Building Resilient Public Networking on AWS: Part 2

Xebia

Fargate Cluster: Establishes the Elastic Container Service (ECS) in AWS, providing a scalable and serverless container execution environment. Second CDK Stage- Web Container Deployment Web Container Deployment: Utilizes the Fargate Cluster to deploy web container tasks, ensuring scalable and efficient execution.

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Rethinking Customer Portals with XM Cloud

Perficient

This approach removed the architectural limitations that Sitecore imposed, allowing teams to use more modern development frameworks and approaches. Here are some points to consider: Ability to Leverage the exact same Modern Frameworks and Architectures that you would use if you were building it completely custom.

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