EMA Research Blog: Navigating IT and Security Horizons

I recently presented findings from my Workload Automation (WLA) research and other EMA research on a webinar with Tim Eusterman, Sr. Director Solutions Marketing at BMC in a webinar titled “How Digital Business is Shaping the Next Wave of Automation”. The recording of the webinar is now live here, and the slides are available here.

I recently presented findings from my EMA Radar for Workload Automation (WLA): Q1 2016 report. The recording for the webinar is now live here.

Earlier today I presented findings from my recent EMA Radar for Workload Automation (WLA): Q1 2016 report. The recording for the webinar is now live here.

More and more organizations are increasing the use of data in their decision making. EMA describes this as having a data-driven strategy. Recent research has revealed that almost 63% of respondents included data-driven strategies in their organization at a significant level. EMA has been tracking the growth of big data with annual research since 2012. From our 2015 research, you can see in the chart below how organizations are moving forward with their big data projects.

Cloud computing can speed up deployment, reduce costs, and increase efficiency and connectivity. It can open up new ways to get computing work done, but more importantly, the inherent connectivity can change the way employees interact with each other and with customers. It can also change the way companies interact with suppliers and partners. The ease of standing up new apps and connecting with users through mobile devices, as well as the minimal capital investment, can spur innovation.

The idea of containers has been around for a long time in various forms on various operating systems. It has been part of the Linux kernel since version 2.6.24 was released in 2008. However, containers did not become mainstream until a couple years ago when Docker was first released in March 2013. Docker introduced container management tools and a packaging format, which made container technologies accessible to developers without Linux kernel expertise. By doing so Docker led the way to making containers mainstream as well as one of the hottest trends in application development and deployment because it simplified the way applications are packaged. While this has big advantages, containers are still early in their lifecycle and lack operational maturity. The ease of use with which Docker images can be created leads to image sprawl, previously seen with VMs, and exacerbates the problem of managing security and compliance of these images. Container environments do not integrate well to existing developer tools, complicating team development due to a lack of staging and versioning for preproduction and production promotion. Also, containers do not integrate with existing monitoring tools, complicating management. However, new tools are being developed targeting Docker as an application delivery format and execution environment by an ever-growing Docker community. Many of the benefits are on the development side of the house, with the promise of DevOps benefits. Running in production can be a different story.