The IT industry is evolving at an ever-increasing pace. Computing resources have become highly available and affordable. There is now a range of servers, databases, applications, new services, and tools, but a lack of people available to manage them.
Efficiently accomplishing day-to-day operations is essential to the way organizations find success. When these processes became complex and messy, organizations looked to batch processing. Business operations that were run through batch processes were time-based, stable jobs, supported by reliable, steady custom scripts. As long as business requirements stayed the same, batch jobs were usable for years. Batch processing provided a simple way to manage workloads and tools. However, with the extensive amount of external applications and technologies existing today, batch processing is simply not broad enough to overcome the challenges that IT teams face in 2016.
IT automation is taking the business world by storm. Virtually every industry can benefit from automation—if you have an IT department, you can automate your IT processes. An enterprise workload automation solution poses endless benefits to organizations, from increased efficiency and resource savings to the lack of manual intervention, and so much more. However, there are times when organizations tumble into an automation pitfall. To avoid these trip-ups, Gartner has researched and identified 5 of the most common IT automation pitfalls and how I&O leaders can avoid them and drive their organizations in the right direction.
Within the last several years, the IT industry has undergone more than one seismic shift. The movement away from waterfall methodology toward Agile practices, as well as the shift to cloud-based applications, have transformed business requirements. As a result, IT departments risk falling behind, as they have to meet business demands while simultaneously handling day-to-day tasks using legacy tools.
Last November, Gartner looked towards the future and predicted that in 2016, 6.4 billion connected things will be in use worldwide. Today is that future. Around us right now, billions of connected things are speaking to each other, passing data, and keeping our lives efficient and modern. From the things we wear (our smart watches, our fitness trackers), to the perks that make our lives easier (our navigation systems, our smart thermostats and lighting systems) to the places we shop (think pharmacy mobile photo printing, mobile coupons based upon buying preferences) the IoT is already heavily integrated into our lives. Think about all of these connections in our lives today—and now multiply those connections by four. Gartner reports that by 2020, the amount of connected things is expected to rise to 25 billion. What I&O leaders need to know is what is enabling all of these connections and how organizations and businesses are expected to keep up with the growth and manage these links.
According to research by Gartner, by the end of 2016 DevOps will be employed by 25% of Global 2000 organizations. While many organizations already have some form of DevOps automation in place, whether it be a collection of specific DevOps automation tools or a homegrown system, workload automation has traditionally been overlooked in the DevOps arena. With multiple siloed automation tools, DevOps processes become even more complicated and difficult to coordinate. But what many organizations don’t know is that with the right workload automation solution, they can take a consolidated approach and streamline the processes that make up DevOps.
What does it mean for an IT organization to adapt to change? In today’s high-tech world, even the notion of adaptation itself is changing. How can anyone keep up?
IT organizations are being pushed like never before. Timelines are shrinking, projects are multiplying, and tasks are becoming more complex. Computing resources have shifted from expensive and scarce to highly available and affordable—a mixed blessing, since plentiful resources simply allow business expectations to be that much higher.
Handling the flow of growing amounts of messy data from multiple sources throughout the enterprise is a complex process. Whether moving transactional data so that it can be reported upon, migrating application data from old systems to new ones, or integrating data from external suppliers or partners, the reliable management of data streams can present a challenge to IT organizations. Because these movements of data can be scheduled on a regular basis or executed based on specific triggers, ETL and data warehousing processes inherently lend themselves to automation. Automation brings a host of benefits to these processes including faster delivery times, improved productivity, reduced cost, decreased risk of error, and higher levels of data quality, among others. But the automation tools commonly available often don’t provide the flexibility that is needed for granular and end-to-end automation. For most organizations a different approach, a unified workload automation solution, is needed to achieve all the benefits that automation can provide.