Much of the discussion around tooling in the DevOps environment focuses on automation of the configuration and release management processes. Somewhat lower on the radar screen are tools (and processes) for the monitoring of an evolving IT environment. This excellent presentation by Patrick Debois, Israel Gat and Andrew Shafer talks about how the metrics that are collected through the monitoring process have to change. The tools, however, may also be morphing as well. “Big management data” will likely lead to a change in the architecture of the technologies that we use for monitoring. Established companies like Splunk have of course been trailblazers in this regard, but others are also starting to arise. Boundary is another company which recently came out of stealth mode to potentially keep your eye on. I’m working now on a research note detailing some of the non-conventional wisdom that has accrued when it comes to DevOps-oriented monitoring. I plan to follow this up with some additional writing on how management architectures will increasingly look like their business application peers in the big data world so stay tuned.
Read Complimentary Relevant Research
Predicts 2017: Artificial Intelligence
Artificial intelligence is changing the way in which organizations innovate and communicate their processes, products and services. Practical...
View Relevant Webinars
The IoT In Manufacturing Operations: Where Are We Now?
The Internet of Things (IoT) is a paradigm shift for manufacturing operations. Its fanfare creates uncertainty in state-of-the-art technology...
Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.