The needs of customers have been changing frequently and only the businesses that can meet the customer expectations can sustain being in the market. When companies develop, launch and improve their products, DevOps help the companies achieve consistent and measurable results.
DevOps solutions can automate software development and testing lifecycle using automation and deploying it in multiple environments. This in turn reduces response time and delivers software continuously based on customer feedback. In this article, we will delve deep into the upcoming trends in DevOps that will expediate digital transformation in 2022.
6 Upcoming Trends in DevOps
- Serverless technology
Serverless computing increases architectural scalability and streamlines DevOps operations. This technology reduces manual workload like cloud monitoring and system updates that are included in server maintenance. Using serverless technology, the DevOps team can generate code for DevOps pipelines without going through the process of building, testing and deployment. Using serverless technology, deployments are streamlined; business strategy and infrastructure are centralized to reduce costs.
- Upsurge of DevSecOps
As the world has gone digital, the number of cybercrimes has increased. It is the responsibility of product and service providers to secure their systems and data. DevSecOps integrates security throughout the lifecycle of a product –development, delivery and operations which makes the product highly secure and reliable.
DevSecOps identifies the risks in cybersecurity early and reduces the cost, time and effort to fix the issues.
- Automation
To accommodate the changing needs of the customers, all aspects of DevOps and quality assurance (QA) must be adaptable. Businesses can be made responsive, transparent and efficient using automation in DevOps. IT professionals working in DevOps and QA teams are expected to have a high level of technical expertise to evolve continuously to meet the updates. This is possible only using automation.
Repetitive, time-consuming and mundane development tasks can be automated so the practitioners can focus on activities that generate value. The advancement of automation technology aids the advancement of cloud technology.
- Cloud-native infrastructure
For businesses to scale to a large extent quickly, it is essential to implement a Cloud Management Platform (CMP). Setting up a cloud-centric platform helps in supporting work processes and cloud-based applications. For businesses to have a stronger foothold in cloud operations within their organization, it is essential they adopt and change CMP for DevOps.This way, the organizations can enjoy the benefits of CMP adoption – better resource usage, improved cloud security, and efficient risk mitigation for optimum utilization of cloud computing resources.
- AI & ML in DevOps
Artificial Intelligence and Machine Learning aid DevOps teams to enhance their performance by managing alerts and improving feedback loops. It is important to stay abreast with dynamic environments and workloads. Using AI & ML, practitioners can take advantage to review prior application performance in analysing and recognizing patterns, operational metrics performance, building success, sentiment analysis and test completion.
To foresee the upcoming trends, actions and behaviour, predictive analytics is essential for advanced analytics. Organizations utilize deep learning, statistics, artificial intelligence and modelling in DevOps. Machine learning and artificial intelligence are now integral components of workflow in organizations.
- Low-code applications
Organizations have been adopting low-code applications in DevOps for agility to stay ahead in the competitive, demanding and fast-paced market. Low-code approach allows practitioners to build applications without coding knowledge. This means professionals can work easily on various software applications using a visual interface. This interface manages the complete process of application development wherein non-technical professionals have access to building workflows simply by using the drag and drop elements.
The trend of low-code applications in DevOps accelerates the complete development and deployment process by way of developing user-friendly applications that are simple. Programming tools allow for automation of application deployment with any low-code applications/platforms. Programming tools assist with build validation, version control and Quality Analysis. The low-code/no-code applications facilitate DevOps teams to work swiftly and reduce overall complexity.
DevOps allows effective collaboration and low code gives less emphasis on coding. When DevOps and low code are integrated, it results in quicker development and deployment of software development.
Conclusion
Today, DevOps includes automation to enhance the end results for users. The transformation in DevOps is an ongoing process wherein it is a step ahead to increased reliability release pipeline and consistency. The DevOps trends as discussed above will aid in the improvement of the production, design, launch and maintenance of high-quality software.
