Optimization is a program transformation technique, which tries to improve the code by making it consume less resources (i.e. CPU, Memory) and deliver high speed. In optimization, high-level general programming constructs are replaced by very efficient low-level programming codes
Optimisation can be as simple as making a variable for redondant objects/values, making a function for redondant code (something like 10 lines being copy pasted around your code, etc.
The purpose of optimization is to achieve the “best” design relative to a set of prioritized criteria or constraints. These include maximizing factors such as productivity, strength, reliability, longevity, efficiency, and utilization. … This decision-making process is known as optimization.
Latency in processing occurs in traditional storage models that move slowly when retrieving data. Organizations can decrease processing time by moving away from those slow hard disks and relational databases, into in-memory computing software. Apache Spark is one popular example of an in-memory storage model.
Every year people spend more and more time on their mobile devices and tablets, but many websites still aren’t designed to account for different screen sizes and load times. Mobile optimization takes a look at site design, site structure, page speed, and more to make sure you’re not inadvertently turning mobile visitors away.
Keyword ranking—where your site is ranked in search engines for a keyword—has a major impact on your Web traffic, lead generation, and conversions. Research shows that more than half of all search engine users click on a result on the first page, and the higher you rank on that SERP, the better off you are.
Often, when we define it, we assume that we want code to perform better. We say that code optimization is writing or rewriting code so a program uses the least possible memory or disk space, minimizes its CPU time or network bandwidth, or makes the best use of additional cores.
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