Kubernetes Is No Longer Number One — The REAL 2025 Cloud Native Report (CNCF x SlashData)

Finding Number One: Backend won#

56% of backend developers are now cloud native.

In absolute numbers, that’s 15.6 million cloud-native developers, and 9.3 million of them are backend.

Why does this matter? Because backend teams carry the weight for APIs, observability, microservices, CI/CD, and service ownership.

If you’re building a platform, build it for backend and DevOps — not for “everyone in general”.

Backend + DevOps is the new core of the cloud-native community.

Finding Number Two: AI is not that cloud native#

You might expect AI/ML to be all-in on the cloud and GPUs — but only 41% of ML/AI professionals are cloud native.

One big reason, according to the report, is the heavy use of MLaaS — managed services that abstract away the underlying infrastructure.

AI models keep scaling, but the classic DevOps discipline — logs, versioning, deployments — often lags behind.

For DevOps, SREs, and Platform Engineers, that’s a huge window of opportunity: bring proper engineering hygiene into MLOps — real pipelines, versioned environments, logs, and managed clusters.

Finding Number Three: What’s really being used#

The most widely used cloud-native technologies are not exotic at all. They’re very down-to-earth:

• API gateways — 50%
• Microservices — 46%
• Kubernetes — 28%
• Observability — 28%

Observability (28%) has now caught up to Kubernetes (28%). “Just running it” is no longer enough — everyone understands you have to see what’s going on, too.

And then there’s service mesh: 8%. Eight percent. The hype made it sound like 80.

So the world isn’t living in “service mesh everywhere”. It’s living in:

just give me a solid gateway, logs, and orchestration.

If you’re building a product for DevOps, aim for this reality — not for super-exotic architectures almost nobody runs.

What to do with this data#

If you’re an architect, a DevOps team lead, or building a platform, here’s what this report is really telling you:

• Go backend- and DevOps-first. These two groups are the most cloud-native in the report. This is where you bring IDPs, artifact repositories, and policy-as-code.

• Support hybrid. 30% of all developers are on hybrid cloud, 23% are multi-cloud. Your networking, secrets, and observability need to span everything, not just a single provider.

• Bring ML teams up to code. If you have ML folks in-house, give them the same level of engineering hygiene as your production teams: versioned environments, pipelines, logs, clusters, and proper deployments.

• Don’t over-engineer. The mainstream stack is this combo: API gateways, microservices, Kubernetes, plus observability — not some universal service mesh everywhere. This is a mature, understandable stack where you can actually ship and make money.

Final verdict#

Cloud native is now mainstream for backend and DevOps — and AI is just playing catch-up.

How does this look in your company or team? Do these numbers match your reality, or is your stack going in a different direction?

Share your experience in the comments — I’m genuinely curious to see how this data maps to real life.