Lack of data analysis hindering cloud migration ROI, report shows
We’ve said it before and we’ll keep on saying it: Undertaking any changes–big or small–to your network without having a data-driven strategy is a recipe for failure. But the message to date seems to be falling on deaf ears at many mature finance and telecom companies, as fewer than 35 percent of the IT leaders in this sector rely on analysis tools to assess their networks’ apps before cloud migration, according to a new report from CAST Software.
As a result, more than 70 percent of migrations to the cloud are done ad hoc or “on gut instinct,” the findings show, with leaders failing to meet their targets for ROI in the process.
Across the board, the report found that when IT teams don’t synchronize their company’s cloud migration efforts by establishing a “central cloud migration core, or Cloud Center of Excellence (CoE),” teams on average only achieve a third of the targeted benefits of their network overhaul.
“Pilots going into storms turn to their instruments. If you run headfirst into a cloud migration without objectively assessing your applications, you’re flying in the dark,” Greg Rivera, VP CAST Highlight at CAST, commented in the report.“Even one small change to an application has a ‘butterfly effect’ on the rest of the code set, so a disruption as big as cloud migration has detrimental effects including IT outages and loss of business.”
Assess your network before, during and after cloud migration
In sum, teams need to gather intelligence and actively assess the performance of their network and the apps it supports from a holistic view, first and foremost. This includes getting a thorough understanding of the entire organization’s app landscape, which calls for members of IT to bridge any communication gaps between departments and uncover any business-critical tools that may be using the network in the shadows.
Once teams have their entire app landscape visualized, they can then take stock of any redundancies (ie. unused or duplicate licenses) or opportunities for improvement (ie. retire less performant legacy apps for “best-of-breed” solutions that are better suited for the cloud) that, once acted upon, might speed up the entire migration.
From there, it’s important that teams employ active network monitoring throughout the migration process especially as the underlying infrastructure for app delivery is changed. This requires a tool that can see end-to-end across all network environments, including into clouds that the company may not own or control outright, to flag issues that could impact user performance and, by proxy, business outcomes. In doing so, not only will it prevent major delays in the migration, but the larger organization will have more confidence in IT’s digital transformation initiatives going forward.
At the end of the day, teams want to make data their best friend in mapping out their cloud migrations. By leveraging key metrics, IT doesn’t have to lose visibility as they hand over parts of the corporate workflow to cloud providers, allowing them to better ensure performance for all end users.