To gather insights for DZone's Performance and and Monitoring Research Guide, scheduled for release in June 2016, we spoke to 10 executives, from nine companies, who have created performance and monitoring solutions for their clients.
Here's who we talked to:
Dustin Whittle, Developer Evangelist, AppDynamics | Michael Sage, Chief DevOps Evangelist,Blazemeter | Rob Malnati, V.P. Marketing and Pete Mastin, Product Evangelist, Cedexis | Charlie Baker, V.P. Product Marketing, Dyn | Andreas Grabner, Technology Strategist, Dynatrace | Dave Josephson, Developer Evangelist, and Michelle Urban, Director of Marketing, Librato | Bob Brodie, CTO, SUMOHeavy | Christian Beedgen, CTO and Co-Founder, Sumo Logic | Nick Kephart, Senior Director Product Marketing, ThousandEyes
We asked these executives, "What else do we need to consider with regards to performance and monitoring that we haven't touched on yet?"
Here's what they told us:
- Understand performance is cross-functional and not the responsibility of one particular team. Too much is on production right now. Bake performance into the pipeline. Make everyone responsible for performance, scalability, and end-user experience. While someone has to take responsibility, don’t let DevOps be a “center of excellence” silo.
- There will be questions around what’s free open source and what’s expensive software. What’s going to happen to legacy vendors (e.g. Fluke, Riverbed, Dynatrace, and Net Scout) in the space? The role of content delivery networks (CDNs) is important with regard to performance. People, including developers, don’t understand that dynamic and static content are not all the same.
- What can we do to stay up to date with these different technologies? DZone helps but its hard to find good resources and events. How do we work better to keep each other informed?
- We need to educate people about the space and the challenges that exist with regards to using the internet as the primary vehicle for interacting with businesses and customers.
- AI is where the change is coming to manage infrastructure in the future. It will enable us to let machines do more of the work. AI is where groundbreaking stuff is happening. Increase automation and intelligence.
- How do logs factor into this? How do we handle log data collection today? How do you use logging today?
- Dig into the aspect of how moving to the cloud is living on a different level of abstraction. We think you can trust what’s underneath; however, we lose the ability to see how to frame visibility into underlying layers of abstraction.
Anything you think we're missing with regards to performance and monitoring?