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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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Important Practices for DevOps in the Cloud

OTS Solutions

Here Are The Important Practices for DevOps in the Cloud Cloud computing and DevOps are two aspects of the technological shift which are completely inseparable. The biggest challenge in dealing with the two is that IT professionals practicing DevOps development in the cloud make too many mistakes that are easily avoidable.

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Service Mesh and Management Practices in Microservices

Dzone - DevOps

In the dynamic world of microservices architecture, efficient service communication is the linchpin that keeps the system running smoothly. To maintain the reliability, security, and performance of your microservices , you need a well-structured service mesh.

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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

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What Is Envoy Proxy?

Dzone - DevOps

Introducing Envoy proxy Envoy proxy architecture with Istio Envoy proxy features Use cases of Envoy proxy Benefits of Envoy proxy Demo video - Deploying Envoy in K8s and configuring as a load balancer Why Is Envoy Proxy Required?

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How to Use Containers to Enable Microservices in Your DevOps

Coveros

Are you trying to shift from a monolithic system to a widely distributed, scalable, and highly available microservices architecture? Meanwhile, your DevOps team has thrown a bunch of automation in place to help, but it seems to be creating a bigger, different mess that results in broken systems that don’t work together.

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Implementing NATS JetStream as Queues in Golang

Dzone - DevOps

These solutions enable the decoupling of components within distributed architectures, ensuring fault tolerance and load balancing. Recently, we faced the challenge of selecting a message queue system for a new project in our microservice architecture.