Manual testing will no longer be a one-day project, and this era is not far away. When artificial intelligence is combined with DevOps automation, the process execution mode has changed.
Artificial intelligence uses logs and activity reports to predict code execution. When using the ability of artificial intelligence, it is easier for organizations to automate acceptance testing, implementation testing and functional testing. Therefore, the software release process is becoming more and more perfect, more efficient and faster, because continuous delivery is guaranteed.
According to the recent expert's prediction, with the increasing application of artificial intelligence driver, more and more DevOps concepts will appear in workflow. DevOps will be the first choice to manage the testing and maintenance of multiple production chain models.
Second, using serverless computing in DevOps.
DevOps can reach a new level through serverless computing. This application relies on a third-party service called BaaS (back-end as a service) or a customized code called FaaS (function as a service) and runs in a temporary container.
Serverless means that companies or individuals running the system do not have to rent or buy virtual machines running back-end code.
The main advantage of serverless computing is that it allows developers to freely focus on the development of applications without considering other things. Deploy quickly and easily without upgrading existing servers. It will take less time and cost nothing.
Third, use DevSecOps to control security vulnerabilities.
Due to the recent increase in incidents related to security vulnerabilities, most DevOps companies have turned to DevSecOps. IT companies regard DevSecOps as one of many DevOps best practices.
DevSecOps is regarded as a way to apply security, and security is built in all aspects of code from the beginning.
Security measures taken in the development process will strengthen cooperation in this process. Doing so will make the process more efficient, error-free and effective. It is expected that more people will adopt DevSecOps in the next few years.
Save time by improving automation.
Quickly detect errors, enhance security and save time: automation can provide all these functions and more. In this way, the whole software development cycle no longer needs manpower. Undoubtedly, industrialization will play an important role in 202 1.
Therefore, DevOps has six characteristics, which are:
Continuous optimization and feedback
Continuous detection
Continuous deployment and release
Continuous testing
joint/cooperative/collaborative development
Sustainable business plan
Fourth, cloud-based native DevOps is becoming more and more important.
When using cloud native DevOps, we should ensure a better user experience, better transformation and innovative management. This is the technology needed to automatically manage the configuration, monitoring and deployment of cloud services.
With cloud automation, software can be released faster. In this way, a bright future is waiting for the arrival of cloud-based technology. Oracle Bone Inscriptions believes that by 2025, 80% of enterprise workloads will be transferred to the cloud.
In addition, the US Air Force has accepted the principles of cloud computing and adopted agile methods to develop applications running in various cloud formats. The growth of grid service usage
By adopting microservices, organizations can gain some benefits. Developers use microservices to improve portability, even if it doesn't make the work of the DevOps team easier. Operators need to manage large cloud and hybrid deployments.
The emergence of micro-service makes the use of service network increase, which is expected to reduce the complexity of deployment. Service network provides the ability to observe and manage micro-service network and its interaction. This combination provides a complete service view. This is very useful for SRE and DevOps developers to meet complex operational requirements, such as end-to-end authentication, access control, canary deployment and A/B testing.
You will see the growth of adoption rate and products, because they are the key factors for the successful operation of micro-services. Service grid is the crossroads that enterprises must cross when they turn from monomer to micro-service.