Remove Architecture Remove Examples Remove Serverless
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Serverless, it can help you brew beer

Xebia

Plus, when you have a practical example, it’s also easier to explain to my wife and friends. How does Serverless help? Conclusion Real-world examples help illustrate our options for serverless technology. Based on those questions, you might pivot your solution’s architecture. But some steps can be automated!

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Faultless with serverless: Cloud best practices for optimized returns

CIO

As enterprises increasingly embrace serverless computing to build event-driven, scalable applications, the need for robust architectural patterns and operational best practices has become paramount. Thus, organizations can create flexible and resilient serverless architectures. optimize the overall performance.

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

CIO

For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance. These capabilities rely on distributed architectures designed to handle diverse data streams efficiently. This reduces manual errors and accelerates insights.

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Unlocking the Power of Serverless AI/ML on AWS: Expert Strategies for Scalable and Secure Applications

Dzone - DevOps

Amazon Web Services (AWS) provides an expansive suite of tools to help developers build and manage serverless applications with ease. In this article, we delve into serverless AI/ML on AWS, exploring best practices, implementation strategies, and an example to illustrate these concepts in action.

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5 dead-end IT skills — and how to avoid becoming obsolete

CIO

AI is impacting everything from writing requirements, acceptance definition, design and architecture, development, releasing, and securing,” Malagodi says. Maintaining network devices like routers, switches, and firewalls by hand are examples.”

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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. Choose Import model.

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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

For example, searching for a specific red leather handbag with a gold chain using text alone can be cumbersome and imprecise, often yielding results that don’t directly match the user’s intent. An Amazon OpenSearch Serverless collection. For more information on managing credentials securely, see the AWS Boto3 documentation.

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