Automate Your Next Job Scheduler Migration

By Brian McHugh on Mon, Mar 25, 2019 @ 08:03 AM

70% of organizations are migrating to broader automation tools, according to a recent study by Enterprise Management Associates.1

Why Replace a Legacy Job Scheduler?

Legacy job schedulers were designed to support specific platforms and systems, mainframes and homogeneous IT stacks. Because of this, older job schedulers have limited capabilities and cannot easily integrate with new digital tools and technologies.

Today’s IT environments, however, are distributed, diverse, and dynamic. So that relying on a legacy scheduler is a bit like driving a sports car without power-steering. Sure, you can still drive, but you aren’t going to move very fast.

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IT Automation Explained

By The IT Automation Editorial Staff on Wed, Feb 27, 2019 @ 08:02 AM


IT Automation offers a wide variety of tools, practices, and capabilities. It’s also a rapidly evolving field driven by continuous advancements in digital technology.

In this post, we'll discuss what defines IT Automation, what IT Automation is used for, and why it has become increasingly important as organizations strive for digital growth. We'll also cover the major categories of IT Automation, discuss common automation strategies, and take a close look at the major trends shaping the impact IT Automation is having today.

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IT Acronyms You Need to Know

By Brian McHugh on Mon, Jan 28, 2019 @ 08:01 AM

IT acronyms might be as confusing as scripts typed by monkeys. So as a service to IT personnel everywhere (and also for ourselves) we’ve compiled a definitive list of IT’s Most Important Acronyms (also know as MIAs).

Save this to your favorites as a resource because we’ll be updating it continuously. Plus, let us know if there are any acronyms you’d like us to add.

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Workload Automation vs. Robotic Process Automation

By Brian McHugh on Thu, Jan 24, 2019 @ 08:01 AM

WLA or RPA: What’s the Difference?

Workload Automation and Robotic Process Automation are two technologies commonly used in IT to automate IT and business processes. Both make workflows more efficient, lower overhead costs, and allay the strain of the IT Skills Gap. Both automate repetitive, time-consuming tasks.

So how are they different?

First, let’s find out what these technologies are capable of.

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What is Intelligent Automation?

By Brian McHugh on Tue, Jan 15, 2019 @ 08:01 AM

Intelligent Automation Defined

Intelligent automation is an IT automation tool that utilizes machine learning (ML) and artificial intelligence (AI).

ML relies on algorithms to predict outcomes based on data. The algorithms identify trends, commonalities, and correlations between variables, using statistical analysis to predict outcomes and future events. Then, as the program continues to run, the algorithms further improve their predictions based on subsequent datasets.

Any program, application, or system that can autonomously make decisions and take actions based on ML, has AI.

Intelligent automation refers to any IT automation tool that can improve its own processes and outcomes, optimize IT resources, and improve efficiency by analyzing data and augmenting human decision-making.

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Gartner's IT Automation Predictions for 2019

By Brian McHugh on Wed, Jan 02, 2019 @ 10:01 AM

Towards the end of each year, Gartner releases its predictions for the upcoming year. These predictions start a lot of conversations, get lots of coverage in the tech press, and are always useful.

There’s also a lot of them. Besides Garter’s two Top 10 Trends lists (Strategic Technology and I&O), Gartner has recently released dozens of its “Predicts 2019” papers. To help prepare for the new year, we've scoured Gartner’s trend and predictions, explaining eight of their 2019 automation expectations below.

A few major themes stick out:

  • AI is being used to optimize IT Automation
  • IT Automation is being used to optimize Big Data
  • As processes are simplified, Big Data will become accessible to the broader workforce
  • The role of IT is changing

Overall, 2019 looks to be a busy year for IT Automation, AI, and Big Data.

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Best Practices for Migrating to a New Job Scheduler

By Brian McHugh on Thu, Dec 20, 2018 @ 08:12 AM

If your job scheduler is making your job more difficult, it might be time to migrate.

Why Migrate to a New Job Scheduler?

Legacy job schedulers are often designed to support specific platforms and systems and can be heavily reliant on scripts. Which means that using a legacy scheduler to support a new technology or application requires researching, writing, and testing complex scripts. Which is time-consuming, error-prone, and the least scalable thing IT can do.

Whether native or home-grown, legacy job schedulers are limited in what they can offer modern, dynamic organizations because they lack the integration capabilities required to quickly build and automate complex workflows.

That’s problematic in an era of rapid digital evolution. IT needs to be able to quickly pivot to support shifting business goals and to leverage new digital tools to stay ahead of competition. This requires building end-to-end workflows that include integrated, automated processes that span a variety of applications, systems, and tools, without the need for custom scripting.

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Too Many IT Automation and Scheduling Tools?

By Brian McHugh on Tue, Dec 11, 2018 @ 08:12 AM



IT teams are automating faster than ever. But without a coherent strategy, automation loses its power.

Automation in IT

In a recent study by Enterprise Management Associates (EMA), 56% of respondents reported having “too many scheduling and automation tools in place.”

This statistic isn’t too surprising, but as the study continues, it becomes part of a paradox.

It turns out that 75% of the study’s participants (56% of whom have too many automation tools) have recently purchased new automation tools and are likely to agree (strongly) with the assertion that “the need for automation is growing”.

Which means that the study’s participants —automation veterans from large companies— have recently procured new automation tools, believing they need more automation, yet simultaneously believe that they have too many automation tools.

This would hurt even Watson’s head.

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