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AI and DevOps Services Teaming Up in the Remote Work Model

Artificial Intelligence

With a global working environment, businesses are now combining teams from around the world to offer superlative solutions. DevOps procedures have now become the heart of the software development cycle today. Large and complex projects often bring more challenges for businesses. And further integrating Artificial Intelligence techniques with DevOps can magnify the efficiency of the developer performance to get more quality in the final product.

Today businesses are using DevOps solution providers to merge their DevOps measures with Artificial Intelligence (AI) to add more automation in their daily procedure further and gain more advantage with competitive solutions from their peers.

DevOps Revolution

There was a time when developers and operational experts delivered separately, creating a lot of issues for building a single software development. But with DevOps services, even remote teams now can collaborate to bring a more productive environment and strengthen the development process to deliver more qualitative software. The popularity of offshore development led to the rise of multi-cultural teams; still, there were operational hazards. DevOps practices emerged as a solution to act as a glue for developers and operations to combine their activities in developing ready-to-operate software with improved efficiency.

And with the COVID-19 pandemic, businesses are benefiting from remote models to keep their streamlined activities performing at their optimal pace. AI has further expanded DevOps’ ability to quicken the process and add more quality to their final product along with the quick releases, ease of adding new features and integrating security within the development cycle.

Challenges of a Remote Working Model 

DevOps teams primarily depend on communication and security practices to move forward. With a remote working environment, virtual teams can be challenging to bring together multi-culture, schedule, and language barriers.

Similarly, the use of the right tool is also the core of DevOps fundamentals. Here Business continuity is of primary importance, which can get affected by system updates or less security. Hence a definitive guide should be there to maintain checks on leveraging the right tools and software for operating regular activities at an optimum level. DevOps services suggest with top-notch tools for communication and collaboration to build a more sophisticated solution for businesses.

How is AI Changing the Face of DevOps?

Artificial Intelligence (AI) and Machine Learning (ML) have combined to enhance software development procedures significantly with AIOps. DevOps automation is one of the perfect matches for Artificial intelligence. This combination opens up the AIOps for developing more sophisticated software and still contain control as well as assurance in the product.

AI technologies are now integrated with the workflows to automate all activities starting from manual tasks, repetitive paths, testing models, and even fixes to streamline activities. Thus, it helps businesses to put focus and time on solving complex issues rather than maintaining monotonous tasks. AI has successfully revived business silos with seamless procedures and bring a more optimized solution for businesses.

Similarly, these AIOps can operate on highly complex code to detect anomalies and bugs and even suggest fixes and predict opportunities to improvise in the DevOps process.

AI can also direct security protocols across the entire development cycle, thus maintaining a stringent check for vulnerabilities and making the system more reliable. This adds to the overall reputation for the product or software.

Aim for End to End Models

Organizations working with AI and DevOps need to integrate and automate maximum procedures throughout the development cycle to enhance productivity in their workflows. Especially in remote teams, these automated workflows will help teams to collaborate their activities and keep a very high-performance level. A DevOps service provider can suggest organizations to develop AIOps in guiding them with automated workflows in their software development process and build an always evolving mechanism.

Conclusion

DevOps are the existing standards for IT architecture globally. So, combining their methods with Artificial Intelligence (AI) will facilitate more automated workflows within the organization. It thus helps them reduce the unnecessary workload and focus more on the business aspects of the projects. Several benefits associated with modern AIOps models include analyzing large complex systems, detecting anomalies, improving the quality of the code, reducing errors, maintaining security, and suggesting performance indicators to enhance the design’s capabilities.

With the COVID-19 pandemic forcing individuals to work from home, organizations can benefit largely from these AIOps models to streamline activities and still get optimized performance from their employees. Cuelogic is an established global IT firm that offers expert DevOps solutions for organizations to combine remote working models with AI to extend their horizons and build for the future. We have an excellent team of passionate experts to help you get accustomed to DevOps culture and shift your mindset to become more productive.

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Written by Priya Bagga

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