Introduction When testing Android applications (for example, the LinkedIn mobile app for Android), thorough testing practices can easily lead to a growth in the number of overall tests being performed—from hundreds to thousands to even tens of thousands. Clearly, there is a need to scale significantly, while at the same time keeping test run times reasonably...
Mobile Articles
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Monitor, profile, optimize, and ramp. This is the cycle of performance operations that we rely on to improve our Android app. Part 1 of this blog series covered monitoring and profiling — monitoring gives us the “true north” of optimizations to make data-driven decisions, while profiling helps us pinpoint the areas of opportunity. In part 2, we will look at...
- Topics:
- Performance,
- Mobile,
- Android,
- RUM,
- site speed
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Defined as the speed at which an app loads and responds to a member, app performance is critical to an app’s success. When an app responds slowly to a member interaction, it’s an unsatisfactory experience. In order to maintain a reliable and consistent member experience, we have a dedicated performance engineering team to monitor and troubleshoot performance...
- Topics:
- Performance,
- Mobile,
- Android
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If a picture’s worth a thousand words, then what about a video? In 2017, we launched video sharing to give our members the ability to...
- Topics:
- Android,
- Mobile,
- NYC Engineering,
- Data,
- Open Source
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When adopting a new language at scale, there are many different factors to consider because things can change dramatically. For many,...
- Topics:
- Developer Productivity,
- Android,
- Mobile
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At LinkedIn, our on-call incidents are managed using Iris and Oncall, two tools that we released as open source to the community about...
- Topics:
- Mobile,
- Open Source,
- SRE