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performance numbers not only have unambiguous meanings, but they also have
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unambiguous comparisons. for example, there’s no doubt that 5 is greater than 4.
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on the other hand, it might be subjective to figure out whether excellent is
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better or worse than superb. similarly, could you figure out whether epic is
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better than legendary? actually, the phrase strongly exceeds expectations
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could be better than superb in someone’s interpretation. it only becomes
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unambiguous and comparable after a definition that maps strongly exceeds
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expectations to 4 and superb to 5.
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numbers are also easily convertible using formulas and functions. for example,
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60 fps can be converted to 16.67 ms per frame. a frame’s rendering
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time x (ms) can be converted to a binary indicator
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isSmooth = [x <= 16] = (x <= 16 ? 1 :0). such conversion can be compounded or
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chained, so you can get a large variety of quantities using a single
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measurement without any added noise or ambiguity. the converted quantity can
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then be used for further comparisons and consumption. such conversions are
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almost impossible if you’re dealing with natural languages.
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<topic_end>
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<topic_start>
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4. performance is fair
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if issues rely on verbose words to be discovered, then an unfair advantage is
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given to people who are more verbose (more willing to chat or write) or those
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who are closer to the development team, who have a larger bandwidth and lower
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cost for chatting or face-to-face meetings.
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by having the same metrics to detect problems no matter how far away or how
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silent the users are, we can treat all issues fairly. that, in turn,
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allows us to focus on the right issues that have greater impact.
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<topic_end>
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<topic_start>
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how to make performance useful
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the following summarizes the 4 points discussed here, from a slightly different
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perspective:
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make performance metrics easy to consume. do not overwhelm the readers with a
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lot of numbers (or words). if there are many numbers, then try to summarize
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them into a smaller set of numbers (for example, summarize many numbers into
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a single average number). only notify readers when the numbers change
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significantly (for example, automatic alerts on spikes or regressions).
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make performance metrics as unambiguous as possible. define the unit that the
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number is using. precisely describe how the number is measured. make the
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number easily reproducible. when there’s a lot of noise, try to show the full
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distribution, or eliminate the noise as much as possible by aggregating many
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noisy measurements.
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make it easy to compare performance. for example, provide a timeline to
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compare the current version with the old version. provide ways and tools to
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convert one metric to another. for example, if we can convert both memory
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increase and fps drops into the number of users dropped or revenue lost in
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dollars, then we can compare them and make an informed trade-off.
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make performance metrics monitor a population that is as wide as possible,
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so no one is left behind.
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<topic_end>
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<topic_start>
|
obfuscate dart code
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<topic_end>
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<topic_start>
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what is code obfuscation?
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code obfuscation is the process of modifying an
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app’s binary to make it harder for humans to understand.
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obfuscation hides function and class names in your
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compiled dart code, replacing each symbol with
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another symbol, making it difficult for an attacker
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to reverse engineer your proprietary app.
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flutter’s code obfuscation works
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only on a release build.
|
<topic_end>
|
<topic_start>
|
limitations
|
note that obfuscating your code does not
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encrypt resources nor does it protect against
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reverse engineering.
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it only renames symbols with more obscure names.
|
info
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it is a poor security practice to
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store secrets in an app.
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<topic_end>
|
<topic_start>
|
supported targets
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the following build targets
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support the obfuscation process
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described on this page:
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info
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web apps don’t support obfuscation.
|
a web app can be minified, which provides a similar result.
|
when you build a release version of a flutter web app,
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the web compiler minifies the app. to learn more,
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see build and release a web app.
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<topic_end>
|
<topic_start>
|
obfuscate your app
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to obfuscate your app, use the flutter build command
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in release mode
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with the --obfuscate and --split-debug-info options.
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the --split-debug-info option specifies the directory
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where flutter outputs debug files.
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in the case of obfuscation, it outputs a symbol map.
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for example:
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once you’ve obfuscated your binary, save
|
the symbols file. you need this if you later
|
want to de-obfuscate a stack trace.
|
lightbulb tip
|
the --split-debug-info option can also be used without --obfuscate
|
to extract dart program symbols, reducing code size.
|
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