In today’s business landscape, everyone wants or needs to develop and maintain real time enterprise. The potential and power of real time computing has taken center stage with the shift to the edge and rising dependence on machine learning and AI. This necessitates increased visibility, better data utilization, and, perhaps most crucially, a well-prepared company.
The concept of real time has been defined and perceived in a variety of ways. While data must be processed in milliseconds or even microseconds in mission-critical situations, real-time in the case of meeting customer expectations for online services and digital transformation, may have distinct requirements.
Real-time capabilities are crucial for any program that requires quick modifications to features based on external factors such as user behavior, security, or vulnerabilities. For instance, in advanced enterprises, if a security breach is discovered, the ability to turn off a feature in real time without redeploying it becomes highly critical and is part of a modern DevSecOps program.
Real-time technologies are also influencing the customer experience. Customers are increasingly seeking a transcendent customer experience that provides them with exactly what they want, when and where they want it, and in a manner that is suited to their needs. Companies must be capable of providing information to customers in near-real time and, more crucially, exceed customer expectations.
Let’s look at a few strategies that can help build a sustainable real time enterprise.
Build for the business
A crucial requirement is a commitment to enterprise-wide development and maintenance of the technology. Many businesses have not modified their development and release processes to reflect the improvements and insights delivered to them by these new technologies. And many development teams lack the resources to test new features to the extent that they would like.
Increased focus on observability
As the emphasis on real-time has grown, observability has become increasingly important. As data complexity and volume increases, firms must shift from a monitoring mindset to actionability and observability in order to provide more real-time insights and empower autonomous digital businesses.
Observability is a challenge that entails gathering a wide range of data, such as metrics, logs, events, and topologies, in order to provide the “why” when anything goes wrong. Beyond what went wrong and why it went wrong, actionability looks at how businesses can respond to failure. It examines what firms can do about it right now to remedy the situation or, using advanced analytics, get ahead of it and take preventative action.
Processes should be prioritized
Real-time modifications and tracking require the tools to be in place. This entails well-developed, automated release processes and analytics that enable firms to quickly develop, release, analyze, and respond to data generated by real-time changes. And it has to be done in such a way that the feedback loop between customers and teams is robust and consistent. This begins with a comprehensive approach to CI, CD, and the common analytics engine that is used to track all of these processes.
A team approach
This is partly a culture shift, but it’s also something that would happen while looking at resourcing and the projects that people are working on. Teams, not the entire development organization, should be ready to respond to real-time insights. This will differ from team to team. A marketing or product team conducting a real-time experiment is not the same as a customer success manager requiring real-time capabilities to deliver functionality in one of their accounts, yet both require real-time skills.
It’s critical to establish a baseline across teams for what’s happening in real time in the enterprise, how it might aid them in their roles, and what the constraints or limitations of their capabilities are.