Remove Applications Remove Architecture Remove Microservices Remove Scalability
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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Automated scaling : AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness.

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How an architecture-led transformation puts the customer first

CIO

With this in mind, we embarked on a digital transformation that enables us to better meet customer needs now and in the future by adopting a lightweight, microservices architecture. We found that being architecturally led elevates the customer and their needs so we can design the right solution for the right problem.

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Comprehensive Guide to Microservices Testing: Ensuring Reliable and Scalable Software

Dzone - DevOps

Microservices architecture has become extremely popular in recent years because it allows for the creation of complex applications as a collection of discrete, independent services. The distributed nature of microservices, however, presents special difficulties for testing and quality control.

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Exploring the Ways To Deploy Microservices Architecture

Dzone - DevOps

Are you someone who is embarking on the journey of deploying microservices? In today’s day and age of rapid application development, microservices have emerged as a game changer for software development people. With features like scalability , adaptability, flexibility, high availability, faster deployment rate, etc.,

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Use Sidecar Pattern in AWS Lambda To Optimize Your Microservices Architecture

Dzone - DevOps

Microservices architecture is becoming increasingly popular as it enables organizations to build complex, scalable applications by breaking them down into smaller, independent services. Each microservice performs a specific function within the application and can be developed, deployed, and scaled independently.

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Microservice Design Patterns for AI

Dzone - DevOps

In the ever-evolving landscape of software architecture, the integration of artificial intelligence (AI) into microservices architecture is becoming increasingly pivotal. This approach offers modularity, scalability, and flexibility, crucial for the dynamic nature of AI applications.

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Evaluating a Microservice Architecture

Tandem

Microservice architecture has been a hot topic in the realm of software development for a while now. It’s often portrayed as a revolutionary method for constructing software systems that are scalable, adaptable, and efficient. This results in more robust applications that can withstand failures in individual services.