Common Challenges that Will Impact the Future of CM
The digital transformation of businesses is no longer an option for companies today and while the prospect includes some major opportunities for disruption, it is also paired with many challenges. The companies that will succeed are most likely going to face a series of failures, adjustments, and successes – and the transformation period could be lengthy.
A leading analyst firm predicts that up to 70 percent of IT organizations will not transform change management processes significantly in the next 18 months.
Why is this so?
As digital innovations are adopted, IT has to get away from manual processes and, in that context, even the tiniest decisions can severely impact the business. Because IT cannot rely on tribal knowledge of the infrastructure, Configuration Management (CM) is more than ever a fundamental practice to ITSM and ITOM. Success depends on IT management’s ability to drive change with agility; meaning that they are empowered with the capacity to select and implement tools and processes that will drive innovation, while protecting the productivity of IT staff.
For the last couple of years leading CM products at BMC, I have seen various customers adopt digital transformation at very different speeds. However, what they’ve all had in common is a roadmap to help them move from managing assets to managing services. This requires robust and scalable auto-discovery to gather rich data that will allow for automatic updates of the service definitions that tie infrastructure components to their business services.
Through various experiences with our customers, we have identified a number of common challenges that will impact CM in the future:
- Scale: Whether measuring IT’s size in number of end-users, servers, or petabytes, those metrics will continue to grow exponentially, requiring hyper-scalable management solutions
- Complexity: Although technologies such as virtualization and hyper-convergence are intended to make IT’s life easier, these also carry their load of heterogeneity, integrations, and underlying complexity which IT needs to keep control of.
- DevOps: The frequency of change and the level of automation that new delivery models impose change the way configuration data is typically modelled as more abstraction comes into play.
- Cloud: The transition to cloud or hybrid application deployments (on-premise and cloud) also requires adjustments in how configuration data is discovered and modelled.
- IoT: The lack of standards in how the Internet of Things is managed will also drive the need for solutions that can understand the various protocols, platforms, and business models.
- Big Data: Certain market segments will be impacted sooner than others (e.g. retail and transportation) but eventually any IT organization will face the complexity to manage a variety of infrastructure components that make up a Big Data environment.
Digital transformation requires IT to approach enterprise management in new ways. Having the right technology and tools in place will drive innovation and enable speed and agility so your business remains competitive and achieves success.
Learn how Lockheed Martin Aeronautics Company has maintained the application performance and uptime levels required for them to manufacture one fighter jet per day with BMC Atrium CMDB and ADDM.
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