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The Ultimate Database Scaling Cheatsheet: Strategies for Optimizing Performance and Scalability

DZone

Efficient database scaling becomes crucial to maintain performance, ensure reliability, and manage large volumes of data. Scaling a database effectively involves a combination of strategies that optimize both hardware and software resources to handle increasing loads.

Strategy 263
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Distance-Based ISA for Efficient Register Management

ACM Sigarch

To create a CPU core that can execute a large number of instructions in parallel, it is necessary to improve both the architecturewhich includes the overall CPU design and the instruction set architecture (ISA) designand the microarchitecture, which refers to the hardware design that optimizes instruction execution.

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Best Practices for Scaling RabbitMQ

Scalegrid

This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. Youll also learn strategies for maintaining data safety and managing node failures so your RabbitMQ setup is always up to the task.

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How to Optimize CPU Performance Through Isolation and System Tuning

DZone

CPU isolation and efficient system management are critical for any application which requires low-latency and high-performance computing. In modern production environments, there are numerous hardware and software hooks that can be adjusted to improve latency and throughput.

Tuning 253
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Six causes of major software outages–And how to avoid them

Dynatrace

It’s also critical to have a strategy in place to address these outages, including both documented remediation processes and an observability platform to help you proactively identify and resolve issues to minimize customer and business impact. Outages can disrupt services, cause financial losses, and damage brand reputations.

Software 290
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Multi Cloud vs Hybrid Cloud Strategy

Scalegrid

Confused about multi-cloud vs hybrid cloud and which is the right strategy for your organization? Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model.

Cloud 147
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.

Latency 147