Majority of businesses employ cloud enablement services to boost productivity and cut costs. For IT infrastructure and resources, a cloud environment is essential. Therefore, companies from various industries are moving their data to cloud storage. Businesses can extend their databases without sacrificing service quality by migrating to the cloud. There are specialized migration procedures in place, and the use of AIOps has become critical.
What role does AIOps play in cloud migration?
Every company is coping with digitization and technology advancements at a rapid pace. Businesses must move away from conventional methods of data storage and toward cloud computing to continue delivering profitable services to users. Because cloud models and on-premise platforms have different designs, digitalization and data migration might be problematic. Using automated solutions, AIOps eliminates the need for human intervention. Automation speeds up the migration process and lowers errors, and data is formatted to work with cloud-native infrastructure. Therefore, companies should invest in AIOps.
AIOps can help with data migration in a variety of ways, including:
- 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.
- Critical and Sensitive Business Services Transfer
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 Microservices and Applications
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 at Various Stages of Cloud Migration
Companies must concentrate on finding the top AIOps platforms software for data migration to the cloud. There is a massive influx of data during migration, and the entire volume of data must be processed without appropriate visibility. Operations teams may have a better understanding of the migration process across the platform by using AIOps. AIOps also aids in the identification of areas that require further optimization. These insights can be used to improve the migration process and deliver better service.
AIOps tools can help with every phase of the cloud migration process, including:
- 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 usage of cloud storage for data and services has aided businesses in optimizing their processes. The use of AIOps in cloud migration can help improve product and service performance. Users will be more engaged, and businesses will be able to make more revenue as a result.
