The Cloud Journey

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There are plenty of articles that expound the reasons for moving to cloud. That’s not what we’re here to do. Most forward-thinking organizations had a cloud strategy in place well before 2020, but the best-laid plans often go awry, and even the most steadfast strategists saw the need to accelerate their plans as a result of the events of last year. Given this, the question is: what is the key to successful cloud-driven digital transformation?

One year after the Covid-19 response caused companies to race to stand up cloud infrastructure and services to navigate the crisis—with as little business disruption as possible—we’ve seen that many passed the initial test with flying colors.

Yet the rapid acceleration resulted in complex, distributed environments. And because those changes happened so quickly, many organizations will need to act fast to fine tune their multicloud and hybrid cloud environments to ensure they are optimizing performance, security and cost.

IT leaders can view the next era either as a challenge or an opportunity. What's certain is that the cloud transformation journey is only set to continue. The key to success is creating and executing a data strategy for the modern technology landscape.

Solving cloud complexity

The broad industry shift towards cloud services means there are more building blocks available than ever before, but this proliferation of choice also creates complexity: more infrastructure to manage and secure, higher volumes of data across an expanded attack surface, new potential points of risk and failure in the software delivery life cycle, additional data silos, and more. This growing complexity can lead to overspending, security vulnerabilities, unnecessary performance issues, and slower speed to market, among other challenges.

While the data exhaust of digitization and cloud acceleration is prolific, without a clear picture of systems and processes informed by data, it’s impossible to secure, operate, and innovate to drive desired business outcomes. A comprehensive multi-cloud and hybrid cloud data strategy is the only answer.

An effective cloud data strategy requires end-to-end visibility and troubleshooting, control over a unified cloud security posture and the ability to predict issues before they occur. Organizations also need observability. While monitoring will alert on predictable failures, observability means acquiring a view into all possible combinations of full or partial failures.

Think of observability as the ability to get complete visibility of an organization through analysis of all the data it produces in order to get a clear view of what's happening and where, ultimately leading to action.

To secure, operate, and innovate to the degree organizations require means achieving visibility and control across the entire estate—from the underlying applications and infrastructure, all the way to the end users. Only by developing and executing a comprehensive data strategy can organizations truly gain observability and set themselves up for sustainable success.

Cloud transformation is business transformation

Above all, 2020 showed that cloud transformation is tightly linked to business outcomes. CEOs need to care about it, and CIOs, CTOs, and CISOs must drive it forward. Every team has a role to play in enabling cloud-driven transformation—but to execute well and deliver the promises of cloud, they'll need to overcome complexity, and data is the key.

Without tying these threads together, the consequences can be profound. Recent SolarWinds attacks indicate the importance of end-to-end visibility across systems to limit the impact of hackers. In addition, building a comprehensive data strategy into your app modernization, business resilience, and security efforts are all fundamental for success. We'll help you navigate all of these topics without drowning in complexity.