AI

Going Through a Cloud Migration? AIOps Can Help

AIOps can help ease many of the challenges associated with cloud migration

As businesses seek to compete in the digital economy and better engage with customers through new digital experiences, they have become increasingly reliant on cloud as a critical component of their digital transformation strategies. This has never been more true than during the COVID-19 pandemic, when businesses across all industries are aiming to provide the best digital experiences possible in our new, heavily remote world.

Gartner validates this reliance on cloud in a recently published report, which states that although IT spending is set to decline in 2020 due to the impact of COVID-19, the pandemic’s increase in remote work has set public cloud services to grow 19% this year.

There’s no doubt that cloud migration can be challenging, but properly preparing and utilizing tools such as AIOps can help initiate this process and can provide ongoing visibility.

The Ingredient for a Successful Cloud Migration

AIOps helps identify and resolve issues before they disrupt the end user during a cloud migration, arming technologists with insights and providing visibility within multi-cloud and containerized environments as companies manage their complex platforms.

A surge of data can be managed in the cloud but can be difficult to manage without having visibility across the platform. AIOps offers an overview and provides updates and optimization suggestions, which helps businesses be competitive and have control.

The AIOps and Cloud Migration Process

AIOps exists to help with big IT challenges and there is a suggested path businesses can use pre-, during and post-migration.

Pre-Migration

Before the migration begins, you should measure the existing performance of your applications as a baseline. You can then define performance goals and find bottlenecks you should avoid during your cloud migration. You must evaluate the potential impact of your cloud migration on your IT environment, which AIOps can help with. With robust visibility, you can see results on applications that power your business.

During Migration

Once you have migrated your workloads to the cloud, you can utilize machine learning and AI to check which resources might be underused. AIOps on the cloud will provide insight on overused resources, so you can identify instances that are best for your company’s needs.

Post-Migration

Being able to monitor your services on the cloud and end user performance gives full visibility into what you are getting from your cloud provider. Needs can change over time, so a cloud migration strategy that incorporates AIOps can identify what can be altered. This functionality helps make it clear which applications could benefit from being moved.

The reliance on cloud support is only increasing, so the sooner you incorporate AIOps into your IT environment, the faster you can have confidence your services will deliver improved performance for the end user. Why not get the most out of your investment in the cloud by using AIOps to support your business for the long term?

AppDynamics is sponsoring KubeCon + CloudNativeCon 2020 North America, taking place Nov. 17-20. To learn more about how AppDynamics is supporting businesses in their cloud migration journeys, register for our webinar during the show here.

Shreyans Parekh

Shreyans Parekh is a Senior Manager at AppDynamics, where he manages go-to-market strategy across product releases and is focused on innovation in the areas of End User Monitoring (EUM), Cloud Migration and IoT. His writing has appeared in publications by Intuit, IBM Bluewolf, New Relic, Conga and the University of Michigan Ross School of Business.

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