There are several different technological solutions to increase efficiency in the software development lifecycle, or SDLC. Many software engineering teams are looking to configure software that yields a high performance while simultaneously being secure and reliable. As a software developer, you know that with the right technology, you can streamline your procedures to achieve maximum efficiency in your delivery pipeline. According to research, consumers’ software expectations are consistently on the rise. This means you need to find the right infrastructure formula to decrease human labor and optimize program development. Read on to discover technological solutions to increase efficiency in the software development lifecycle.

Machine Learning

Machine learning is one essential technological solution to increase efficiency in your software development lifecycle. Machine learning algorithms can find and apply patterns in data to optimize your program delivery. With this approach, you do not have to feed the computer decision-making rules. Rather, the computer prepares domain-specific data entirely by itself. It then processes this data through learning algorithms. The machine learning infrastructure has the capacity to highlight features and patterns that your development team may not have seen. Moreover, because the model is automated, it significantly saves manual coding time. In this way, machine learning optimizes the software development lifecycle.

Cloud Computing Services

Another technological tool to optimize your software development process is cloud computing services. Cloud computing services provide software development teams with highly effective and reliable IT environments. By reducing resource requirements, cloud computing services can maximize efficiency in your program production lifecycle. Data shows that a large percentage of enterprises are using a multi-cloud strategy. This is partially because many cloud service providers can seamlessly scale and migrate your current workloads into on-premises captive data centers, third-party hosted private clouds, or public clouds. Cloud computing has been shown to reduce software’s time-to-market, making it more agile and productive in today’s modern technological landscape. Cloud computing services are a valuable technological solution to improve efficiency in your software development lifecycle.

Docker Registries

In addition, Docker registries can significantly optimize your software delivery pipeline. An advanced JFrog Docker registry allows you to manage development, conduct vulnerability analyses, and monitor artifact flow control throughout the production process. Moreover, secure artifactory Docker registries offer widely scalable storage that can accommodate terabyte-laden repositories. When you use artifactory Docker registries, you can optimize your building procedures by removing networking or connection issues. Furthermore, Docker registries are fully automated with API to access any feature throughout the development cycle. Docker registries are an advanced technological solution to maximize efficiency throughout your team’s software development.

Continuous Delivery Tools

You can also advance efficiency in your software development pipeline by using continuous delivery tools. With continuous delivery, changes to code are automatically prepared for a production release. In the software development lifecycle, continuous delivery deploys all code changes to a testing or production environment after the building phase. These tools allow your engineering team to automate testing procedures beyond individual test units. This way, you can confirm software updates across various dimensions before the final deployment. These automated analyses help you test user interface, integration, and API reliability testing. Continuous delivery tools can help you preemptively troubleshoot code and automate testing procedures in your development pipeline.

Server Virtualization

Furthermore, server virtualization can maximize efficiency throughout the software development lifecycle. Server virtualization abstracts resources from end users to divide a single server into multiple virtual environments. These are commonly called guests or virtual private servers. Utilizing server virtualization, your enterprise team can achieve ten-to-one virtual to physical server consolidation. Essentially, this means that one computer can run up to ten different server applications. In addition, this technology enables legacy software to maintain old operating systems as new applications run in these virtual environments. Server virtualization is a software solution that can significantly improve productivity in your pipeline.

There are several sophisticated technological solutions to increase efficiency in the software development lifecycle. Harnessing the power of advanced software development solutions helps you enhance the quality, speed, agility, and flexibility of your pipeline. For example, machine learning utilizes algorithms to automate processes and save manual coding time. Cloud computing services can improve speed and storage scalability for your enterprise team. In addition, Docker registries also optimize your software development process. Continuous delivery tools automate testing procedures to streamline deployment. Furthermore, server virtualization can maximize productivity through consolidation techniques. Consider the points above to learn about technological solutions to increase efficiency in the software development lifecycle.