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API Design Principles for Optimal Performance and Scalability

DZone

The post will provide a comprehensive guide to understanding the key principles and best practices for optimizing the performance of APIs. What Is API Performance Optimization? API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

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The Power of Caching: Boosting API Performance and Scalability

DZone

Benefits of Caching Improved performance: Caching eliminates the need to retrieve data from the original source every time, resulting in faster response times and reduced latency. Reduced server load: By serving cached content, the load on the server is reduced, allowing it to handle more requests and improving overall scalability.

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

Dynatrace

This leads to a more efficient and streamlined experience for users. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. Challenges with running Hyper-V Working with Hyper-V can come with several challenges.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Performance is usually a primary concern when using stream processing frameworks. See more about the performance of stream processing frameworks in our published paper.

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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

Benefits of quality gates Quality gates provide several advantages to organizations, including the following: Optimized software performance : Quality gates assess code at different SDLC stages and ensure that only high-quality code progresses. This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness.

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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. It streamlines time-consuming and repetitive tasks, reducing the potential for human error and boosting operational efficiency.

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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

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