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Best practices and key metrics for improving mobile app performance

Dynatrace

Mobile app performance best practices Best practices for monitoring app performance start with app instrumentation so teams can get the full visibility needed to improve app performance. The following includes best practices for optimizing mobile app performance. Prioritize user experience.

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Best practices for accelerating Dynatrace APIs within large monitoring environments

Dynatrace

This blog post introduces the new REST API improvements and some best practices for streamlining API requests and decreasing load on the API by reducing the number of requests required for reporting and reducing the network bandwidth required for implementing common API use cases.

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Introducing Configurable Metaflow

The Netflix TechBlog

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent. All environments already cached in s3.

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Site Optimization Framework To Boost Your Website Performance Using AEM

DZone

I often found that there are issues observed post-implementation due to not following the best practices recommended by Adobe. Insufficient dispatcher caching. Lack of browser caching. What Causes Performance Issues. High CPU utilization. Lack of proper maintenance. Lack of CDN. Unoptimized taxonomy and DAM assets.

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Geek Reading - Week of June 5, 2013

DZone

Simpler UI Testing with CasperJS ( Architects Zone – Architectural Design Patterns & Best Practices). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Why haven’t cash-strapped American schools embraced open source? Hacker News). Java EE 7 is Final.

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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

The Application Performance Management (APM) best practices we recommend to optimize user experience and application performance—driven initially by on-premises workloads and finite compute capacity—contribute to improved computational efficiency by reducing CPU cycles, optimizing inter-process communications, and lowering memory footprints.

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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

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