By Shreyans Parekh - September 09, 2020 4 Mins Read
It is safe to say that even before the impact of the COVID-19 pandemic hit; companies had begun a steady march into the cloud. Then, with the events of this year, we have seen an incredible surge in demand for remote technical services and an overload of data compiling on application platforms. These increases are leading organizations of all sizes to seek larger, flexible, and secure platforms to support the rapid, immediate growth and propel their companies into the future.
Earlier this summer, Gartner predicted public cloud services would grow 19 percent just this year, despite also acknowledging the impacts of COVID-19 would cause overall global IT spending to decline eight percent in 2020. With this rapid growth, companies making quick transitions to the cloud can overlook or miss key learnings and vital steps that can guarantee a successful cloud migration. One coding error can have a significant impact on application performance. For these transitions, AI for Operations, or AIOps, can be an essential tool in helping avoid such mistakes.
In our recent AppDynamics Agents of Transformation Report, it was revealed that 95 percent of organizations have changed their technology priorities and pivoted their strategy during the course of the COVID-19 pandemic. Much of this change is driving more businesses to the cloud, and if a company does not fully understand their new cloud platform or if they make a small error, the end-user can have a negative experience.
AIOps is key to supporting a successful cloud migration strategy
By providing technologists insights into uptime, performance, and availability, AIOps helps identify and solve issues before they can affect the end-user during cloud migration. AIOps also helps provide visibility within multi-cloud, and containerized environments as organizations manage more complex platforms.
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IT environments in the cloud can support the influx of data. Still, with several applications being added, deleted, or continuously changed, it is a complex process to manage without having cross-platform visibility. AIOps provides that overview while also giving rapid updates and suggestions for optimization, helping businesses gain a competitive advantage and control in the multi-cloud world.
Where does AIOps fit in your cloud migration strategy?
AIOps is designed to tackle challenges with IT complexity, but where should you begin implementing AIOps during the cloud migration process? There is a simple methodology company can use before and after their cloud migration.
When you decide to make a move and right before you begin the migration process, the first components to measure are your existing performance baselines. You have the opportunity to define performance goals and identify the current bottlenecks you wish to avoid when migrating to the cloud. It is also essential to evaluate the potential impact of your cloud migration on your IT environment, which can be managed by AIOps. With full visibility across inter-app dependencies, you can be aware of results on the apps powering your business.
Once your IT environment is migrated to the cloud, you will want to consider where AIOps needs to be used, paying close attention to which resources have a possibility of being underutilized. The use of AIOps on the cloud will also provide insight on over-provisioned resources, allowing you to observe and identify instances better suited for your company’s needs.
Having the ability to monitor your service on the cloud independently and the end-user performance also gives you full visibility into what you are getting from your cloud provider. Knowing that demands can change, a cloud migration strategy with AIOps is also crucial for identifying the areas that need improvement, so you know what applications might benefit from being moved. It’s about finding the right opportunities at the right time.
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To help your company thrive after a successful cloud migration, there needs to be more than just cloud integrations in place. Such an infrastructure requires automation skills, observability, and analysis practices along with a deep understanding of the techniques that can reduce application downtime. The reliance on cloud support is only continuing to increase, so the sooner you take control of your IT environment with AIOps, the sooner 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 tools like AIOps to support your business for the long term?
Shreyans Parekh is a Senior Manager at Cisco AppDynamics, where he manages corporate development and go-to-market strategy across the Cisco applications, data center cloud and compute portfolio. His writings and thought leadership have appeared in publications by The Wharton School, University of Michigan Ross School of Business, Salesforce, IBM, Intuit, Conga and The New Stack.
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