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“Users can create low-code/no-code solutions that reflect specific data inquiries and workflow processes, and subsequently, the programs can be easily integrated into more extensive business processes.”
Fremont, CA: Even at a time when DevOps adoption is accelerating, the time it takes for an application to evolve remains enormous. Complexity is to blame for the slow implementation, which results in a longer launch cycle. However, non-programmers, or really anyone, can now create business workflow applications using low-code/no-code tools today. Users can create low-code/no-code solutions that reflect specific data inquiries and workflow processes, and subsequently, the programs can be easily integrated into more extensive business processes. For example, marketers can customize their applications with low-code or no-code tools that automatically put qualified leads into a customer database and then launch a series of targeted messages based on specific events that occur.
The Future of Development
Low-code programming is a valuable tool with many advantages, but it also has disadvantages that cannot be ignored. Software and platform developers who have tried low-code solutions will tell you that it's faster and easier but lacks options and features. Low-code platforms are popular right now and are in a cycle of hype, significantly as COVID-19 accelerates digital transformation, but they won't replace professional software developers any time soon.
Businesses continue to operate lean to find ways to eliminate processes that do not provide real value. Intelligent automation and AI-powered chatbots will continue to grow and emerge to handle all service requests. Agile methodologies and software development practices such as DevOps/AIOps are driving cloud infrastructure and service management changes. The cost of these services is monitored against the value delivered, and the necessary architectural adjustments are made to ensure the necessary optimizations. On that front, everything-as-code and continuous monitoring of everything (with automatic fault detection) will continue to gain prominence on the enterprise landscape.