While it is certainly true that no low-level performance optimization can make up for a poorly designed algorithm, low-level optimization technique are by no means irrelevant. Perhaps, even the opposite, they are more relevant today than they have ever been because modern computer systems comprise of layers on top of layers of abstractions that each provide myriad opportunities for performance optimizations. Consequently, sometimes, even a change as simple as slightly altering the operating system default configuration or passing an additional flag to the compiler can lead to considerable performance improvement; something that is perhaps way more challenging to achieve through algorithmic adjustments.
That is probably why successful organizations seldom make arbitrary choices in regard to their tech infrastructures. One famous example of this is the founding team of WhatsApp messaging application who made the unusual but well-suited choice of building the back-end of the service in Erlang programming language because of its strong support for concurrency and ran the backend on the NetBSD operating system due to its efficient networking. These smart (but rather unusual) choices among many other low-level optimizations contributed to the superior efficiency of WhatsApp and allowed the founders to frequently turn down investment offers as the rather decent revenue stream of the service from iOS devices covered the costs of development, maintenance, and expansion. That explains why at the time of its acquisition, the service which was serving hundreds of millions of people around the glob was operating with only 32 employees; an exceptional or even unprecedented efficiency for a technology company.
Of course, it is unreasonable to expect all companies to build the best infrastructure right from the beginning as many priorities and requirements of a company usually evolve gradually over time. For that reason, it is improbable (if not impossible at all) that a company can know in advance the exact right requirements of a particular time period. Therefore, it is of paramount importance that companies adjust their infrastructures to their new conditions and requirements as quickly as possible in order to remain efficient and competitive. Unfortunately, solutions that require massive structural or algorithmic changes or code rewriting often are slow and cost intensive, even if the end result is more sustainable. Thus, system optimizations that can unleash the hidden and unused capacities of existing systems can be greatly beneficial when companies need to run more efficiently (and reduce the costs) without significant change in the algorithms or code.
Low-level optimizations eventually boil down into the knowledge of how computer systems function internally in order to conclude what makes them perform better in specific conditions. It is therefore, needless to mention that they require deep and comprehensive understanding of how various computer technologies, including the operating systems, databases, compilers, and etc work internally and how they can be combined together to produce the best output in any given situation. We in dipperX, have some of the best low-level optimization experts in our team who have years of experience in helping companies getting the best out of their existing infrastructures.
Thus, if you need to optimize your infrastructure, our experts at DipperX are willing to help you do so. They can:
Analyze your existing infrastructure and resolve inefficiencies if there is any
Analyze your code to find out performance bottlenecks and help you address them in order to run your existing code more efficiently.
Analyze your new project and help you make the best decision with regard to the programming language, operating system, databases, and other infrastructures.
Please do not hesitate to get in touch with our sales department via: email@example.com