Improving Your Cloud Migration Journey with Automation

Improving Your Cloud Migration Journey with Automation
Improving Your Cloud Migration Journey with Automation

The appetite for digital transformation is at an all-time high and, within industrial companies, it is happening at both the information technology (IT) level and the operational technology (OT) realm. For enterprise IT organizations, digital transformation can take the form of a switch from on-premises datacenters to public cloud computing architectures. Public cloud adoption continues to accelerate and now sees 36 percent of enterprises spend more than $12 million per year per Flexera’s 2021 State of the Cloud Report. The report reveals that while 59 percent of organizations plan to focus on cloud migration, 61 percent of the enterprises are looking to optimize cloud costs in 2021.

Cloud migration will have different levels of complexity depending on the existing system environments. One of the top constraints that enterprises looking to migrate their IT systems face is optimizing and simplifying cloud operations. Migrating large amounts of data can take time, especially if there is no clear way to map applications or other assets in their current form to ones that work on the cloud. 
However, these hurdles are not insurmountable. For instance, ServiceNow’s integration with Google Cloud allows customers who leverage ServiceNow’s automated IT service management platform the ability to migrate more efficiently and cost-effectively. The partnership puts trust in AIOps to completely transform the IT management gameplay for enterprises.
The top needs across the enterprises looking to make the transition include:

End-to-end view

Comprehensive visibility into the IT landscape means enhanced workload management and issue resolution. The multi-cloud strategy and on-premise dependencies make the task easier said than done. The deep IaaS integration with Google, the industry-leading IT Operations Management (ITOM) & IT Services Management (ITSM) with ServiceNow and next-gen AIOps for SAP offers unprecedented potential. It enables real-time data visibility and improves data quality in an enterprise configuration management database (CMDB).
Meaning, IT teams will be better equipped with reliable information across their IT landscape. Positioning them to make most of their existing governance and compliance models across system environments to optimize IT operations, reduce risk, and gain usage and cost reporting.

Speed to cloud

There is much more to cloud migration than a mere lift and shift. The project demands a certain amount of business disruption. For enterprises with a high IT landscape complexity, it is a daunting task. Identifying correct workloads, sequencing them based on priority are important decisions for any IT team.
To minimize the impact, "always-on visibility" into the source, destination, and broader business environment goes a long way. The combination of ServiceNow CMDB backed with detailed context through AIOps and guided by Google’s RAMP (rapid assessment and migration program) creates a perfect playground to speed any cloud migration program. It enables a scalable, optimized, and resilient IT & SAP operations base.

Consistent governance across environments

It is of paramount importance for IT leaders to ensure consistent security policies are applied across IT systems regardless of the system environment. A single platform to maintain and manage prescribed procedures is a must. AIOps platform integration with ServiceNow makes it a hassle-free process.
The relevant teams automatically receive a real-time alert on any discrepancies from the approved standards or if systems are detected insecure.

Issue identification and resolutions with AIOps

Staying ahead of issues that can shrink business aspirations is imperative for enterprises, even more so when systems sit in silos across environments. Accurately predicting when SAP landscapes will require additional servers or databases has always relied on observation mentality and extensive experience, but it remains an inexact science even then. AIOps based predictive analysis of the past resource utilization and growth helps streamline the need for more servers or database instances. Additionally, IT teams can prioritize the servers or databases that will run out of resources faster, ensuring capacity management and on-time upgrades before these systems impact a business.
A single data model (CMDB) to accelerate root cause analysis, tied with the ability to trigger automation for remediation results–reduces system outages for a business.

About The Author

Brenton O’Callaghan is Chief Customer Officer at Avantra.

Did you enjoy this great article?

Check out our free e-newsletters to read more great articles..