Scroll down to see the list of DevOps Influencers.
In simple terms, DevOps removes the barriers between siloed development teams and IT Operations. Under this model, software developers work closely with operations throughout the entire software development lifecycle. The graphic below summarizes the DevOps model in a pretty simple way.
The below DevOps influencers are a diverse group of individuals ranging from researchers, analyst, reporters, and developer advocate. When measuring influence, it’s critical to first understand what your goals are and what you intend to do once you’ve identified the right group of people. If you work in public relations, the journalist might be the beginning of a media list. If you work in research, you might just analyze their conversations, reports or articles being published.
In either case, influence is subjective and everyone has their own version or approach when identifying which influencers to work with. The most common way to identify influencers is measuring reach, resonance and relevance:
- Reach: Community size.
- Resonance: Engagement.
- Relevance. Topical authority.
I like to use one additional measure of reference. It basically looks at whether or not the influencer is referenced by other influencers in the marketplace. Here is a Twitter list of DevOps influencers below.
When going through the process of identifying influencers, it’s critical to do more than just reference someone else’s list. I would suggest using this list as a starting point, and do your own analysis using a combination of software and math. I recommend Onalytica, as they are the leading influencer software provider.
Here are a few other technology influencer lists that have been manually curated in case you are interested:
- AI Influencers
- Machine Learning Influencers
- Blockchain Influencers
- Data Science Influencers
- IoT Influencers
- 5G Influencers
- Digital Transformation Influencers
- RPA Influencers
- Data Security Influencers
I talk a lot about managing and deploying influencer marketing programs on my YouTube channel and it’s not just theory or ideas. It’s all based on real life experience, testing and learning, and sometimes failing when working with various influencer groups.