Remove Architecture Remove Development Remove Serverless
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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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Building Scalable and Efficient Architectures With ECS Serverless and Event-Driven Design

Dzone - DevOps

In modern cloud-native application development, scalability, efficiency, and flexibility are paramount. Two such technologiesAmazon Elastic Container Service (ECS) with serverless computing and event-driven architecturesoffer powerful tools for building scalable and efficient systems.

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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.

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The Implications of Architecture: Optimizing Developer Experience for Serverless Success

DevOps.com

Realizing the benefits of serverless architecture and avoiding its pitfalls starts with understanding what it is and how it fits into the cloud computing ecosystem.

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API Implementation on AWS Serverless Architecture

Dzone - DevOps

This article describes the implementation of RESTful API on AWS serverless architecture. It provides a detailed overview of the architecture, data flow, and AWS services that can be used. This article also describes the benefits of the serverless architecture over the traditional approach.

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

CIO

Unlike traditional masking methods, their solution ensures that the data remains usable for testing, analytics, and development without exposing the actual values. These capabilities rely on distributed architectures designed to handle diverse data streams efficiently.

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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

Smaller code bases are easier to understand, and with clearly separated services the overall architecture is much “cleaner”. Rather than asking what specialized framework you need to build a new microservices architecture, let’s ask how we can use current frameworks to support the same goal.