Cache Code Speed 
CSS Wizardry
OCTOBER 16, 2023
Caching them at the other end: How long should we cache files on a user’s device? Cache This is the easy one. Caching is something I’ve been a little obsessed with lately , but for static assets as we’re discussing today, we don’t need to know much other than: cache everything as aggressively as possible.
Dynatrace
APRIL 8, 2020
Optimize your code by finding and fixing the root cause of garbage collection problems. These details arm you with the knowledge necessary to find the respective code and remove unnecessary allocations. Any significant reduction in allocations will inevitably speed up your code. Speed up application code itself.
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Dynatrace
OCTOBER 21, 2020
And the code-level root cause information is what makes troubleshooting easy for developers. As Dynatrace automatically captures stack traces for all threads at all time the CPU Hotspot analysis makes it easy to identify which code is consuming all that CPU in that particular thread. Step 3: Identifying root-cause in code.
Dynatrace
NOVEMBER 13, 2020
When you set up user actions in your code, OneAgent automatically links associated web requests to those user actions. Additionally, it exposes API calls to the Flutter code and forwards these API calls to OneAgent for iOS/Android. To get you up to speed quickly and to test Dynatrace easily, we provide a small Flutter demo app.
KeyCDN
NOVEMBER 19, 2020
In October 2015 KeyCDN released a free WordPress caching plugin called Cache Enabler. We did this because we wanted to give back to the WordPress community in the offering of a caching solution that was not complicated and most importantly, free. Over the last few months there have been many changes made to Cache Enabler.
The Netflix TechBlog
OCTOBER 29, 2020
For these reasons, as a small engineering team, we’ve found that optimizing for reliability and speed of product delivery is required for us to serve our evolving customers’ needs successfully. You only need to write platform-specific code where it’s necessary, for example, to implement a native UI or when working with platform-specific APIs.
DZone
APRIL 9, 2020
Expensive requests such as expensive searches or inefficient application code, components, etc. Insufficient dispatcher caching. Lack of browser caching. Thread contention — long-running requests such as slow searches, write-heavy background jobs, moving of whole branches of site content, etc. High CPU utilization. Lack of CDN.
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