Native App Network Performance Analysis
DZone
APRIL 7, 2021
When 54 percent of the internet traffic share is accounted for by Mobile , it's certainly nontrivial to acknowledge how your app can make a difference to that of the competitor!
DZone
APRIL 7, 2021
When 54 percent of the internet traffic share is accounted for by Mobile , it's certainly nontrivial to acknowledge how your app can make a difference to that of the competitor!
Scalegrid
JANUARY 25, 2024
These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. 6379> info stats # Stats.
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The Netflix TechBlog
AUGUST 10, 2020
In addition, with 193M members and counting, there is a huge diversity in the networks that stream our content as well as in our members’ bandwidth. It is, thus, imperative that we are sensible in the use of the network and of the bandwidth we require. Yet, given its wide support, our H.264/AVC
Dynatrace
MAY 17, 2023
Metrics provide a unified and standardized definition to numerical data points over a period of time (for example, network throughput, CPU usage, number of active users, and error rates), whereas logs address traditional logging and allow you to handle logging information in an aggregated fashion.
The Netflix TechBlog
SEPTEMBER 8, 2020
This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. Looking at our high traffic UI screens (like the homepage) allowed us to identify any regressions caused by the endpoint before we enabled it for all our users.
Percona
JUNE 22, 2023
This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.
The Netflix TechBlog
JUNE 4, 2019
Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.
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