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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Dynamic load balancing : AI algorithms can dynamically balance incoming requests across multiple microservices based on real-time traffic patterns, optimizing performance and reliability.

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Cloudera DataFlow Designer: The Key to Agile Data Pipeline Development

Cloudera

Figure 4: After creating a draft from a ReadyFlow, you can customize it to fit your use case Agile, iterative, and interactive development with Test Sessions When opening a draft in the Designer, you are instantly able to add more processors, modify processor configuration, or create controller services and parameters.

Agile 86
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Top 10 Frameworks for Developing Enterprise Applications

OTS Solutions

It is lightweight nature, modularity, and ease of use make the spring framework a highly preferred choice for building complex and scalable enterprise applications. These features have made Ruby on Rails a popular choice for web developers who want to build scalable and maintainable web applications. Key features of Node.js

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Top 10 Frameworks for Developing Enterprise Applications

OTS Solutions

It is lightweight nature, modularity, and ease of use make the spring framework a highly preferred choice for building complex and scalable enterprise applications. These features have made Ruby on Rails a popular choice for web developers who want to build scalable and maintainable web applications. Key features of Node.js

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Cloud Load Balancing- Facilitating Performance & Efficiency of Cloud Resources

RapidValue

Cloud load balancing is the process of distributing workloads and computing resources within a cloud environment. Cloud load balancing also involves hosting the distribution of workload traffic within the internet. Cloud load balancing also involves hosting the distribution of workload traffic within the internet.

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Run-your-own or managed Kubernetes? Why Microsoft AKS may be the right orchestration platform for you 

Capgemini

It improves agility, streamlines development and deployment operations, increases scalability, and optimizes resources, but choosing the right container orchestration layer for applications can be a challenge. AKS streamlines horizontal scaling, self-healing, load balancing, and secret management.

Azure 40
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Leveraging cloud-native managed services for long-term benefits

Capgemini

Traditionally, managed-services providers have focused on running and operating on-premises infrastructures and, more recently, handling IaaS for cloud providers like AWS and Microsoft Azure. But because of the traditional separation between infrastructure and application groups, these teams have operated in a siloed fashion.

Cloud 52