In IT Operations most of us have been using the same scheduling tools for years. Just the thought of someone saying that we will standardize or we are looking at changing scheduler fills us with dread. We all have a friend, or friend of a friend, that has had the migration from hell project.
So this then comes back to the question of how can I improve the service I deliver, but without changing workload automation tools. In the past you were probably on your own, send the workload data to a data warehouse and then build some processing to make sense of the data that you see. Many of us have tried, we got some nice reporting but it didn’t help us improve the service we deliver to the business.
But being alone to work out what to do is no longer the case, Automic Automation Intelligence, the premium predictive analytics solution for workload automation has announced support for an additional workload automation tool, enabling more people to take advantage of advanced AI and ML to improve service delivery through their existing workload tools.
Automic Automation has been added to the existing support for IBM Workload Scheduler (IWS) for mainframe and distributed, AutoSys Workload Automation, CA-7 & Jobtrac mainframe scheduling, and Tidal Workload Automation.
This is part of a longer-term strategy to support many more commercial workload automation solutions, in fact, three more are expected in the first half of next year. Allowing even more customers to improve the value they get from their existing workload automation tools, without the need to undertake time-consuming & costly migrations of schedulers.
This release also announces the availability of the “Universal Connector Framework”, which allows customers to create integrations into their home-grown scheduling products, black-box applications, and more, further broadening the scope of source data to drive predictions in service delivery through workload automation.
All workload automation solutions provide some level of SLA management, but they are not consistent and to be honest, it is not the primary focus of the workload automation tool, so they do enough to say they do it. Automic Automation Intelligence is dedicated solely to the improvement of SLA delivery through workload automation, regardless of your workload tool of choice. Bringing advanced AI and ML not just to the real-time prediction of SLA delivery but a platform to enable continual improvement in delivering critical services to the business.
EMA Research highlighted in the whitepaper “Modernizing Workload Automation”, 60% of large organizations consume multiple workload automation tools and 75% of those have business processes that span these different systems. If you are one of these organizations, then the benefits of Automic Automation Intelligence are magnified. This could be mainframe and distributed operations or multiple distributed solutions obtained through acquisitions. Each technology has different levels of intelligence to determine if an SLA will be met, there is no consistency between the systems and there is no interconnectivity between them – which makes delivering SLAs much harder.
If SLA delivery is important to you, if you are struggling to deliver the SLA’s demanded by the business, or you simply want to improve on what you deliver today then Automation Intelligence is the way forward. Watch Dan Twing from EMA Research and Jennifer Chisik from Broadcom discuss Automation Intelligence and its impacts on business here.