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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This decoupling simplifies system architecture and supports scalability in distributed environments. Kafka stores and distributes data through a partitioned log system, which spans multiple brokers to provide fault tolerance and scalability. What is RabbitMQ? This allows Kafka clusters to handle high-throughput workloads efficiently.

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Application Scalability — How To Do Efficient Scaling

DZone

In this article, we explain why you should pay attention to when building a scalable application. What Is Application Scalability? Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM).

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Best Practices for Scaling RabbitMQ

Scalegrid

Key Takeaways RabbitMQ improves scalability and fault tolerance in distributed systems by decoupling applications, enabling reliable message exchanges. This decoupling is crucial in modern architectures where scalability and fault tolerance are paramount.

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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Scalability. PostgreSQL offers free scalability, and can scale up to millions of transactions per seconds. Oracle Enterprise is recommended for high workloads which are highly scalable, but costly. PostgreSQL.

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Infinitely scalable machine learning with Amazon SageMaker

All Things Distributed

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

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InnoDB Performance Optimization Basics

Percona

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Some cloud providers also offer specialized instances for database workloads, which may provide additional features and optimizations for performance and scalability.