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Truth to be told, programming is not an easy undertaking. In fact, it is declared by experts, as well as novices alike that it is one of the most difficult branches of IT and computer science as a whole. Recent developments however have made it a lot easier.
One of the most innovative factors that make programming much simpler for anyone is the existence of libraries. Such PL add-ons can just be “called” or linked to a certain program code so it can take advantage of the built-in features that are already there.
In either low-level, high-level, or object-oriented programming, the following libraries are the most widely used:
Active Template Library – is for easily making apps because it allows a programmer to use predefined templates and functions already built into the system. By utilizing app interfaces that are already laid-out by other developers, anyone, even with basic programming skills can already make decent-enough applications with this.
FloatX – is designed for handling programming tasks with floating-point requirements. Because of the highly delicate numerical processes that Database systems require, accurate libraries that can handle precise calculations must be available and FloatX is one of those that must be employed by programmers.
OpenCV – Since machine learning is something that Database systems must be equipped with, programming libraries such as this one must be highly accessible too. Included in most popular programming languages most notably in Java and C++, this is a handy tool for programmers who aim to program AI systems and robots.
TensorFlow – Built for Python enthusiasts, it allows easier coding for numerical and scientific calculations. Its flexible architecture makes it convenient for anyone to use Google’s cloud services. Also, it provides handy tools for Application Program Interface (API) development.
Apache Commons – Declared by some programming hobbyists as the “Swiss knife for Java programmers,” this library has almost anything that any coder could ever think of -- math classes, databases, caching, input-output tasks, among others.
Once programs, Database systems included, are already brought to near-perfection, they will then be deployed. The following tools would be the most ideal ones:
ManageEngine Desktop Central – ideal for remote deployment tasks. It runs on both Windows and Linux
Google Cloud Deployment Manager – the best tool of choice for deploying apps and resources into the Google Cloud.
Jenkins – a free app deployment tool that could serve as a plugin for most PLs. It is open-source which means its code can be modified by any programmer with ample skills.
TeamCity – also a free tool, it allows multiple programmers to work on the same project seamlessly. It has a maximum number of 100 plugins that programmers can greatly use for great ease and convenience.
AWS Code Deploy – The acronym stands for Amazon Web Services. And since it is named as such, it is an ideal deployment tool for any commerce-related app since Amazon is one of the biggest online stores on the planet.
It would be foolish to launch a system program without testing it thoroughly first. Here are the best tools for testing application programs.
TestRail – can be easily configured in a matter of minutes, this is ideal for web-based case management tasks.
Zypher Scale – is known for its scalability and performance-test solutions. It allows advanced test planning, reporting, and reusability features.
Practitest – this one promises a deeper, broader understanding of app-testing results. It is one of the best end-to-end testing tools ever known.
After the testing and launching of system programs, they need to be closely monitored so that further enhancements can be done whenever necessary. The following tools would be the most appropriate for such an undertaking:
SolarWinds – Designed for web-based apps as well as for webpages, this enables a system developer to monitor his creation’s performance from afar. It doesn’t only track the system's internal functions but other factors as well such as loading speed, website uptime/downtime, and overall site health.
Nagios – Initially built for the Linux platform, it is one of the best tools you can find if your aim is to monitor server health. This means that if your Database systems are housed in an open-source server, it is kept at optimum performance at all times since Linux is very well-known for that.
WhatsUP Gold – It is capable of creating a detailed interactive map of a Database systems network’s layout thanks to its robust layer discovery capabilities. In addition to that, it can also be linked to an admin’s email or SMS inbox so real-time updates can be viewed anytime, anywhere.