Most companies use cloud enablement services to increase productivity and cost-efficiency. A cloud environment is ideal for IT infrastructure and resources. This is why businesses in different sectors are transferring their data to cloud storage. Cloud migration allows businesses to expand their databases without compromising the quality of service. There are specific strategies to enable easy migration and the use of AIOps has become crucial.

How can AIOps help in cloud migration?

Every business is dealing with rapid digitization and technological advancements. To continue the successful delivery of services to users, businesses need to shift from older methods of data storage and utilize cloud computing. Since the architectures of cloud models and on-premise platforms are not similar, this process of digitization and data migration can be difficult. AIOps eliminates the need for human intervention through the implementation of automated solutions. Automation helps the process of migration and reduces error, and the data is made to suit cloud-native infrastructure. This is why businesses need to invest in AIOps.

There are various ways in which AIOps can enable hassle-free data migration:

• Hybrid or Multi-vendor Environment

Usually, certain critical services offered by a company are stored in the data center. With AIOps, professionals or teams in charge of monitoring the data can use a specific cloud migration assessment tool for business. AIOps for monitoring also enables the involvement of various cloud migration toolsets and on-premise platforms. For on-premise old data, a certain degree of grooming is necessary before migration. Noise reduction algorithms can be applied to such data before it is integrated with operational data in cloud storage. This improves all services and helps to reduce the risks involved in migration.

• Transfer of Critical and Sensitive Business Services

With various new applications and services being developed, businesses need to focus on accelerating the movement of data to cloud storage. AIOps tools allow easy migration of legacy applications and eliminate the risk of delivery to cloud computing models. The use of AIOps for cloud migration can reduce the cost of data transfer and storage and help to completely avoid redundancy. If any issues had risen when the data was stored within on-premise infrastructure, the same problems can occur when the data is transferred to the cloud. If these issues occur when the migration is complete, it can be difficult to troubleshoot. This is because cloud resources change very quickly. Problems may even occur if the migration is rushed and there is a lack of thorough monitoring. However, the implementation of AIOps helps operations teams to automate the migration process and thus reduce error. The transition of data from on-premise architecture to the cloud computing model is smooth and helps to provide optimized service delivery to all end users.

• Redesigning of Applications and Microservices

At the time of data migration from on-premise architectures to cloud computing models, operations teams may find certain anomalies. This is because the application designs are not compatible with cloud storage. Therefore, all critical services and applications should be checked before migration. Redesigning these services and applications may be necessary to suit the native architecture of a particular cloud computing model. Apart from applications, microservices and new forms of monitoring are also essential. AIOps enables such redesigning and ensures seamless migration and integration of data. AIOps tools work as accelerants for the monitoring of microservices. The processes are extremely fast-paced, and every operations team needs to deal with a large volume of data at once. AIOps is ideal for a smooth transition of data as it enables event correlation across domains. All workflows can be easily maintained, and various different teams can collaborate to reduce error. Automation and remediation of all critical services and systems are made possible by AIOps tools.

AIOps in Different Phases of Cloud Migration

Companies need to focus on finding the best AIOps platforms software for cloud migration of data. During migration, there is a huge surge of information and the entire volume of data needs to be processed without proper visibility. With the use of AIOps, operations teams can have an overview of the migration process across the platform. AIOps also helps to recognize areas that require better optimization. Businesses can use these insights to update the migration process and provide better service.

AIOps tools can assist in every phase of the cloud migration phase:

• Pre-Migration Phase

At the pre-migration stage, all applications should be tested for performance issues. The metrics will give insight into the applications that need optimization and what the performance goals after migration should be. AIOps tools can be used to accurately predict how the cloud migration will impact the entire IT structure of the company. Since AIOps improves visibility, it is easier to see the performance of applications before the migration process begins.

• Migration

While AIOps assists in the entire process of migration, it also helps in monitoring resources that are not used frequently. During migration, the primary function of AIOps is to make sure the data is suitable for the cloud-native infrastructure. But tools like artificial intelligence and machine learning can be applied to various applications as well. This will reveal how the underused applications and resources can be used for the benefit of the business.

• Post-Migration Phase

After the migration process is complete, AIOps can be utilized to monitor the performance of services. This helps to understand how the cloud migration has impacted the services and what user response can be expected. Since user preferences may change, integrating AIOps with cloud migration can help to automate the adaptation process. Instead of modifying specific services, AIOps tools can help all services adapt to the requirements once the migration has been completed.

Conclusion

The use of cloud support for storage of data and services have helped companies optimize their business process. The incorporation of AIOps in cloud migration can improve the performance of products and services. This will increase user engagement and businesses will be able to generate more revenue.