21CS Taking a Very Different Approach to Mainframe Innovation

We recently spent some quality time visiting the Morehead City headquarters of 21CS where we had the pleasure of sitting down with Chief Executive Officer Eddie Cilliendo and his leadership group. It was an enlightening trip that gave us a proper look at how this enterprise is thinking about the future of big iron. The central topic of our conversations revolved around their latest software product named OPTIMAn which focuses on IBM Z performance analytics and capacity planning. Our observations suggest that the team has engineered something rather compelling for a market that is often stuck in a bit of a traditional rut.

For decades, organizations running mainframe environments have faced a persistent spot of bother when trying to understand their system utilization. The sheer volume of System Management Facility data generated by these machines is completely staggering. Historically, the standard operating procedure involved shipping this copious data off the mainframe onto distributed servers for processing and reporting. We find this old offloading approach to be a bit of a palaver because it introduces extra infrastructure expenses and latencies. The architecture of OPTIMAn aims to deliver a different path by keeping everything native. It runs entirely within the IBM Z perimeter without requiring any external servers or additional hardware. Data stays local.

This design is clever. By running natively on box, the system processes high-volume data streams in real time. We see this as a practical response to the growing operational overhead that IT groups experience daily. Many management consultants have pointed out that data movement across heterogeneous platforms remains a primary driver of modern IT complexity. Keeping performance tracking native means that data stays right where it belongs. This saves a massive amount of network bandwidth. It also eliminates the need to maintain secondary server farms just to watch the main computer run. This solution is clean.

Another interesting aspect of our discussions in Morehead City focused on how the software attempts to solve the skills gap that plagues many mainframe computing environments, where enterprises have failed to invest in training the next generation. Mainframe performance monitoring has long been a dark art practiced by a dwindling number of senior engineers who can interpret dense diagnostic logs. The software aims to change this dynamic via an AI-powered reporting interface. Users can basically ask the system a question in plain English and receive an immediate, actionable response. We are impressed to see how this feature attempts to simplify reporting. It allows junior administrators or even business unit leaders to interrogate the platform without needing a deep background in specialized command languages. 21CS is almost obsessed with bringing in new talent. This focus comes from the top and is infused in everything 21CS does, and it is manifesting itself in product strategy, OPTIMAn is just the latest case in point.

The software is also architected to handle advanced forecasting and workload simulation. It allows teams to run complex what-if scenarios to predict how future business growth or seasonal spikes will affect system capacity. Instead of relying on guesswork or archaic spreadsheets, companies can simulate workloads directly. This predictive capability is designed to help teams plan their hardware acquisitions with far greater precision. This makes total sense. Preventative planning avoids surprises.

We should also talk about financial transparency. Mainframe billing is both labyrinthine and opaque. It causes a great deal of friction between technology teams and finance departments. OPTIMAn addresses this challenge head-on by incorporating built-in cost and chargeback tracking. It is specifically engineered to track complex enterprise metrics such as Tailored Fit Pricing and the traditional Four-Hour Rolling Average. These pricing models govern how much an organization pays IBM every month for computing power. By providing immediate visibility into these specific cost vectors, the software aims to deliver granular control over monthly software licensing expenditures. Companies can see exactly which application or department is driving up the bill. This drives accountability.

Flexibility is another major component of the platform design. The developers built an extensible architecture that integrates cleanly across diverse corporate environments. It does not force an organization to abandon its existing dashboard tools. Instead, it can seamlessly push its synthesized metrics to whatever reporting package the enterprise already relies on for its wider operations. This open philosophy is refreshing. It means that corporate executives can view mainframe health metrics alongside their cloud and distributed systems data in a single unified view.

Our direct conversations with Eddie Cilliendo and his executive team revealed a group that is deeply focused on pragmatic modernization. They are not chasing flashy industry trends for the sake of appearances. Instead, they are delivering targeted software that targets specific operational pain points. The enterprise has been a trusted platform partner for over thirty years, and that deep domain expertise shows through in the design choices of this product. It represents a thoughtful evolution of system telemetry.

Ultimately, our analysis indicates that this native strategy could challenge the conventional wisdom of data offloading. It reclaims the analytics workload for the central computer itself. This approach maximizes the existing investments organizations have made in their secure hardware environments. It turns performance monitoring from a passive forensic exercise into an active operational asset. We believe this represents a sophisticated step forward for capacity management. It will be fascinating to see how the market responds as more organizations look to streamline their mainframe operations.