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Java Is Greener on Arm

DZone

Hardware and software are evolving in parallel, and combining the best of modern software development with the latest Arm hardware can yield impressive performance, cost, and efficiency results.

Java 274
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Pay Per Use.

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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. What’s next?

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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. Every hardware, software, cloud infrastructure component, container, open source tool, and microservice generates records of every activity within modern environments.

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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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Real Devices vs Emulators: Where Do You Test App Performance?

DZone

Differences in OS, screen size, screen density, and hardware can all affect how an app behaves and impact the user experience. In order to ship new updates of your app with confidence, you should efficiently analyze app performance during development to identify issues before they reach the end-users.

Testing 278
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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