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Can serverless fix fintech’s scaling problem?

CIO

Add to this the escalating costs of maintaining legacy systems, which often act as bottlenecks for scalability. The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Scalability. Cost forecasting. Legacy infrastructure.

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

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. Organizations leverage serverless computing and containerized applications to optimize resources and reduce infrastructure costs.

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Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

However, proper strategies can make managing resources, dependencies, and environments challenging. This blog explores how to optimize feature branch workflows, maintain encapsulated logical stacks, and apply best practices like resource naming to improve clarity, scalability, and cost-effectiveness.

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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. Enterprises and SMEs, all share a common objective for their cloud infra – reduced operational workloads and achieve greater scalability.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

We demonstrate how to harness the power of LLMs to build an intelligent, scalable system that analyzes architecture documents and generates insightful recommendations based on AWS Well-Architected best practices. This time efficiency translates to significant cost savings and optimized resource allocation in the review process.

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Software infrastructure 2.0: a wishlist

Erik Bernhardsson

Truly serverless. I'm already running things in the cloud where there's elastic resources available at any time. I'm already running things in the cloud where there's elastic resources available at any time. Why do I have to think about the underlying pool of resources? I don't want to pay for idle resources.

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Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions

AWS Machine Learning - AI

Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. The results of each iteration are collected and made available for subsequent steps in the state machine.