Remove Scalability Remove Serverless Remove Software Development
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Future of Software Development

Dzone - DevOps

The landscape of software development is constantly evolving, with emerging technologies reshaping the way applications are built and deployed. Among the most notable trends gaining traction is serverless architecture , offering developers a paradigm shift in how they approach application development.

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Software Architecture Design Patterns for Serverless System

Dzone - DevOps

Since the concept of a “ serverless ” system is gaining traction, you’re likely to develop curiosity in this regard. With an assurance of flexibility, scalability, and cost-effectiveness, the serverless system brings a paradigm shift in the software development arena.

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Python vs Java: Making the Right Choice for Your Software Development Project

Mobilunity

It also provides insights into each language’s cost, performance, and scalability implications. Well also explore use cases and share our expertise in providing top-tier developers, but lets start with an overview of the two languages. What Is Python? Lets check these parameters for Java and Python.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

API Gateway is serverless and hence automatically scales with traffic. The advantage of using Application Load Balancer is that it can seamlessly route the request to virtually any managed, serverless or self-hosted component and can also scale well. It’s serverless so you don’t have to manage the infrastructure.

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We are still early with the cloud

Erik Bernhardsson

Infinite scalability. But we don't: When I compile code, I want to fire up 1000 serverless container and compile tiny parts of my code in parallel. Somewhat ironically, software development is one of a vanishingly small subset of knowledge jobs for which the main work tool hasn't moved to the cloud. Fewer constraints.

Cloud 273
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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

During the solution design process, Verisk also considered using Amazon Bedrock Knowledge Bases because its purpose built for creating and storing embeddings within Amazon OpenSearch Serverless. In addition to optimizing performance and cost, Verisk also focused on developing a modular, reusable architecture for their generative AI solution.

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From Code to Cloud: AWS Lambda CI/CD with GitHub Actions

Perficient

Introduction: Integrating GitHub Actions for Continuous Integration and Continuous Deployment (CI/CD) in AWS Lambda deployments is a modern approach to automating the software development lifecycle. This integration is essential to modern DevOps practices, promoting agility and efficiency in software development.

Lambda 52