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Faster crash analysis for mobile apps

Dynatrace

Working effectively with speed and accuracy. Our update to Dynatrace mobile crash monitoring supports your effectiveness in analyzing mobile crashes with speed and accuracy. The improved response time of the UI has changed the game, because it allows you stay in context. You want to focus on crashes that matter.

Mobile 244
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Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

We were very pleased to see that AV1 streaming improved members’ viewing experience, particularly under challenging network conditions. AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions.

Media 246
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5 types of tests that can be automated for your iOS

Testsigma

Example: A new functionality is added in a gaming iOS application and is unit tested successfully. It is observed that when the layout is changed from landscape to portrait during the game then the application crashes unexpectedly. The iOS app should work well on the networks of different bandwidths, speeds, data transfer rates, etc.

Testing 84
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Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

The Morning Paper

These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). The figure below shows the migration time for these three applications, broken down into snapshot capture, snapshot restoration, and ‘other’ (including the network transfer time).

Mobile 104
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

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Expanding the Cloud - Cluster Compute Instances for Amazon EC2.

All Things Distributed

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118