DevOps: Narratives that Work for Predictions Season

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Author: Alyssa Rinehart
Alyssa Rinehart

As a B2B SaaS PR agency, we’re seeing our DevOps clients hustle to innovate within the market. They’re all about smarter team collaboration, robust system design, and delivering more bang for the buck for their users. Every DevOps company wants its platform to create compelling experiences for its customers!

We’re doing the same here when it comes to creating compelling narratives for our DevOps clients. One way we’re setting our clients apart in a crowded space is through industry predictions. As we approach Q4, we enter what our agency likes to call “prediction season.”

Similar to how we storymine quarterly to uncover the unique stories, experiences, and perspectives of individuals within our clients’ organizations, prediction storymining delivers valuable insights into future DevOps industry trends, challenges, and opportunities from our client SMEs that we can turn into forward-looking industry narratives.

From hiring projections to how AI will shift the market, various publications speaking to a targeted DevOps audience jumped at our clients’ industry predictions last year. Here are a couple of examples:

If you’re wondering how you’re going to get noticed in a sea of voices during predictions season, we’re here to help. Let’s talk about which talk tracks are losing steam and which are gaining momentum in the world of DevOps, so you can focus your hottest predictions on trending topics that will get noticed. 


Storylines losing steam and gaining momentum

One tired storyline is that of “siloed teams.” Siloed teams in DevOps can be likened to isolated islands, hindering efficiency and collaboration and the solution is to break down these barriers to foster a more productive and innovative environment. However, this narrative has been rehashed so many times that DevOps editorial teams are now rolling their eyes at yet another “break down the silos” pitch.

However, a topic that is gaining more momentum in DevOps media is AI-driven DevOps. Below is an example of a potential prediction:

 “By 2026, AI-driven DevOps will revolutionize software development, with over 75% of organizations rapidly adopting AI to automate complex processes and enhance productivity. Organizations will increasingly rely on AI to automate repetitive tasks, enhance quality through predictive analytics, and accelerate delivery through intelligent automation. The integration of AI will lead to a significant increase in productivity and efficiency within DevOps teams. However, challenges such as ethical considerations, data privacy, and the need for specialized skills will need to be addressed to ensure the successful implementation of AI-driven DevOps.”

Another storyline that has fallen in popularity is the topic of skills gaps. DevOps media often prioritizes showcasing solutions and success stories, overshadowing the persistent conversation around skills gaps. While addressing skills gaps is crucial for organizations, the overarching topic has been covered time and time again. As the responsibility often falls on individual companies themselves, it can potentially limit media coverage.

However, a topic that is gaining more momentum in DevOps media is tool consolidation. Below is an example of a potential prediction:


By 2026, organizations will aggressively consolidate their DevOps toolsets, with many reducing their tool count by as much as 80%. This toolchain optimization will be driven by an intense focus on slashing complexity, supercharging efficiency, and ruthlessly controlling costs. Platform-based approaches will dominate the landscape, with API-driven integration becoming the gold standard for interoperability. Open-source tools will see a 150% surge in adoption, often at the expense of proprietary solutions. While some resistance to change may persist in about 20% of companies, the overwhelming trend will be toward radically streamlined DevOps environments. This consolidation wave will result in toolchains so efficient they’ll reduce deployment times by up to 60% and cut operational costs by close to 40%. The resulting integrated DevOps ecosystems will achieve unprecedented levels of automation, allowing teams to deploy updates with minimal human intervention and paving the way for a new era of software delivery speed.”

So, what’s next? The DevOps landscape will continue to evolve, driven by technological advancements and evolving business needs. We’re here to help, from identifying the next trend in DevOps to pulling the best insights from your thought leaders and helping your brand capitalize on these opportunities. 

Have the next best idea in DevOps? Let’s chat.