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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

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How multicloud observability boosts cloud performance at Tractor Supply Co.

Dynatrace

According to the Dynatrace “2022 Global CIO Report,” 79% of large organizations use multicloud infrastructure. Moreover, organizations have to balance maintaining security, retaining cloud management expertise, and managing infrastructure performance. Rural lifestyle retail giant Tractor Supply Co.

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How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

The Netflix TechBlog

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Caching them at the other end: How long should we cache files on a user’s device? This shows us the sheer power and importance of compression, so ensure you have the best setup possible for your infrastructure. Cache This is the easy one. Which brings me nicely on to… The important part of this section is cache busting.

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Best practices and key metrics for improving mobile app performance

Dynatrace

Examples of observability data include metrics, logs, and traces which provide visibility into the app’s behavior and performance at different levels of the stack, including the application code, infrastructure, and network. This can be achieved by reducing the size of files or images, using caching, and compressing data.

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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs CDN architecture also focuses on caching, load balancing, routing, and optimizing content delivery, which can be measured by: cache offloading and round-trip time (RTT).‍RTT Here are a few examples.Â

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Optimizing CDN Architecture: Enhancing Performance and User Experience

IO River

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs use load-balancing techniques to distribute incoming traffic across multiple servers called Points of Presence (PoPs) which distribute content closer to end-users and improve overall performance.