The IT department of today’s business looks more like an estate than a neat department. The estate rambles from “vintage” or “legacy” hardware and software to state-of-the-art cloud systems that are public or private – or a hybrid of both.
It’s not surprising that when IT managers attempt to migrate legacy operating systems to new cloud-based systems, the process is clunky and expensive. They often end up stitching together an infrastructure that includes the public and private cloud-based operations and a mainframe, or a combination of all three. One recent third-party study revealed that 8 out of 10 IT managers face huge gaps viewing their cloud-based environment.
The problem is particularly severe in the public sector, where legacy systems were built by the lowest-cost bidder, and each successive iteration was purchased from a different lowest-cost bidder, sometimes with little regard to compatibility.
The challenge in successful digital transformation is the same: How do you make sure a 50-year-old mainframe and a year-old cloud run in sync?
That’s the space where Ensono M.O. comes in with a key differentiator in the way it leverages machine-learning robotic automation. Ensono M.O. provides IT managers with single-pane visibility about usage trends, capacity and daily workload throughout the company’s estate.
The Downers Grove-based company deploys software robots or artificial intelligence applications to track clients’ operations in its disparate systems. Ensono M.O. constantly monitors a client’s entire IT estate, from mainframe to cloud, regardless of location or age. Its predictive analytics prevent service-interrupting incidents, ensuring the technology estate stays up and running.
The single-pane on Ensono M.O. delivers real-time viewing of a client’s entire IT estate from mainframe to cloud, giving CIOs and IT leaders confidence that their IT infrastructure is in sync, will keep running, and is ready to launch new initiatives.Visit Website