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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

Caching them at the other end: How long should we cache files on a user’s device? In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. Cache This is the easy one. And do any of our previous decisions dictate our options? ?

Cache 353
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Best Effort Regional Counter This type of counter is powered by EVCache , Netflix’s distributed caching solution built on the widely popular Memcached. Reducing Code Complexity : We reduce a lot of code complexity in Counter Abstraction by delegating a major portion of the functionality to an existing service.

Latency 247
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Introducing Configurable Metaflow

The Netflix TechBlog

A natural solution is to make flows configurable using configuration files, so variants can be defined without changing the code. Unlike parameters, configs can be used more widely in your flow code, particularly, they can be used in step or flow level decorators as well as to set defaults for parameters.

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Seeing through hardware counters: a journey to threefold performance increase

The Netflix TechBlog

We also see much higher L1 cache activity combined with 4x higher count of MACHINE_CLEARS. a usage pattern occurring when 2 cores reading from / writing to unrelated variables that happen to share the same L1 cache line. Cache line is a concept similar to memory page?—? Thread 0’s cache in this example.

Hardware 363
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Progressive delivery at cloud scale: Optimizing CPU intensive code with Dynatrace

Dynatrace

This is a great example of how valuable Dynatrace is for diagnosing performance or scalability issues, and a great testimony that we at Dynatrace use our own product and its various capabilities across our globally distributed systems. And the code-level root cause information is what makes troubleshooting easy for developers.

Code 246
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Code-level observability for Flutter apps drives great user experience

Dynatrace

When Davis detects deviations from this baseline (for example, a sudden dip in usage or a user action that lasts longer than expected), it generates a problem event , identifies the root cause of the problem, and sends notifications based on the configured alerting profile. OneAgent for mobile apps is specific to iOS and Android.

Code 244
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Radically speed up your code by fixing slow or frequent garbage collection

Dynatrace

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. You can even look at the source code directly. .

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