Optimizing cloud computing application for improved Devops automation streamlining
Journal on Innovations in Teaching and Learning · 2025
Robust growth in Software Development (SD) has become crucial for accomplishing organizational goals as well as performing more efficiently in the fiercely competitive IoT infrastructure. DevOps is a rising methodology that allows businesses to present excellent software features by automation, better team communication, as well as improve efficiency in the Software Development Life Cycle (SDLC). Cloud Computing (CC) has revolutionized the IT landscape, offering unprecedented scalability and flexibility. There are stronger ties among DevOps and CC. DevOps is interested in maximizing progress so that client demands may be quickly incorporated into system output, whilst the cloud provides automatic supply and scalability for managing application modifications. IT professionals in CC frequently commit mistakes that their expertise may simply avoid. The issue arises because recommended practices remain unclear. These sectors are extremely new, yet the issue may be more related to individuals than technology, and the obstacle is often more challenging for individuals to solve. DevOps is changing the face of IT operations, and novel features and tools are constantly being introduced by various firms to improve the DevOps pipeline. However, optimizing performance in cloud environments remains a complex challenge. The article also highlights the significance of automation and Infrastructure as a Code (IaC) in maintaining consistent, high-performance cloud environments. Through case studies of large-scale implementations, it demonstrates the practical application of these strategies, revealing significant improvements in system responsiveness, resource utilization, and cost-efficiency.