Tips For Improving The Efficiency of DevOps Processes
Posted By : Anirudh Bhardwaj | 14-Apr-2020
DevOps is an essential part of a software-based organization that brings development and operations teams under the same roof. A well-formulated DevOps strategy accelerates the software development lifecycle and improves operational efficiency by unifying the efforts of developers and operators. The main benefit of availing DevOps services is that it enables enterprises to consistently improve their products and services. Since the operations team provides continuous feedback to developers, they can significantly improve software performance and efficiency for delivering better user experiences. Above all, it replaces the traditional software development methodologies and facilitates smooth communications to achieve faster development and processing.
We, at Oodles Technologies, provide end-to-end DevOps solutions that enable enterprises to accelerate software development and improve performance with continuous feedback. We have successfully completed several full-scale DevOps projects for startups and SMEs. An increasing number of companies seek our DevOps consulting services to formulate effective implementation strategies.
Based on our extensive experience in providing DevOps services, we highlight useful tips to make the best use of DevOps. Read further to explore these tips for improving the efficiency of your DevOps processes.
Tips For Improving DevOps Efficiency
The first step is to formulate an effective strategy to ensure a seamless workflow and smooth communications between the teams. It is also important to ensure that corporate policies must not undermine the collaborative efforts of the development and operations teams. In addition, it is essential that you provide them a favorable environment and resources to seamlessly achieve continuous delivery through continuous integration. It further yields improved software performance, better efficiency, and reduced time-to-market for maximum customer satisfaction.
IT security is of foremost importance in DevOps and software enterprises must address their security challenges beforehand to maximize development efficiency. Several enterprises take security measures for their products and services later in the development stage that may add to the complexities. On the contrary, security is an integral part of the software development lifecycle that must remain a requisite feature from the beginning.
Quality assurance and testing are equally important in DevOps and must be performed proactively to ensure improved software quality and performance. However, it is advisable to incorporate automation testing in DevOps processing instead of using manual techniques. Using automation testing in DevOps is beneficial in many ways. Not only does it accelerate the software development lifecycle but also provides better insights into the application architecture. In automation testing, we feed an input code to holistically analyze the application for potential bugs and points of failure. After a 360-degree analysis, it generates a final report containing the bug details and test cases. There are several tools available for automation testing including Selenium, Appium, Jasmine, and Silk Test.
Continuous delivery is one of the main highlights of DevOps that removes potential breakpoints and facilitates seamless code execution. Furthermore, it simplifies the process of moving code from staging to a different environment. If the QA engineer detects bugs in the production code, then developers can fix that in real-time. Further, they can push it down the delivery pipeline to update the changes in the production environment with minimal complexities. In a nutshell, continuous delivery aims at streamlining the DevOps infrastructure by making it flexible enough to process the required changes.
Continuous integration is yet another important aspect of DevOps that ensures frictionless deployment of code by combining processes like code development, version control, testing, and post-deployment tasks. In continuous integration, developers maintain a central repository for their code changes that further aids in running automated builds and tests. At its core, continuous integration is the build or integration stage in a software development lifecycle that aims at improving the software quality and releasing new software updates.
Monitoring is an essential part of the software development process that must be performed proactively to ensure that it functions well at all stages. The software monitoring process generally involves tracking various entities such as load time, query logs, and other crucial performance metrics. In addition, an organization must perform routine system checkups to accurately identify hidden bugs, glitches, and potential points of failure. Doing that enables the organization to take effective measures to avoid instances of software failure, downtime, or performance fluctuations.
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As the DevOps landscape continues to grow and evolve, it has become more advanced with technology integrations like AI, Big Data, and Machine Learning. At the same time, following the right DevOps approach may significantly improve the software development processes with improved performance, quality, and operational efficiency. It is, therefore, advisable to follow the aforementioned tips to practice effective DevOps that improves software performance and maximizes enterprise benefits.
Avail Our DevOps Solutions To Strengthen Your IT Infrastructure
We are an experienced DevOps service provider company that enables enterprises to accelerate their application development lifecycle and achieve maximum efficiency. We provide full-scale DevOps solutions include DevOps consulting services to formulate effective implementation strategies that maximize enterprise productivity. Our development and operations teams are experienced in maintaining a consistent workflow to achieve continuous delivery and performance optimization. We use tried-and-tested techniques and agile methodologies to maximize software performance, efficiency, and implement new features with minimal complexities.