2025 InfoQ Trends Report: Cloud Computing and DevOps
    InfoQ Cloud and DevOps Trends Report 2025
Date: 2025‑11‑02 10:15 Beijing
This InfoQ Trend Report offers a comprehensive overview of emerging trends and technologies in cloud computing and DevOps.


---
Overview
The report serves as a snapshot for architects and technology leaders, highlighting priority topics in 2025.
Key components include:
- Updated DevOps & Cloud InfoQ Trends Graph
 - Companion podcast featuring editors and industry experts
 
A central element is the Trends Graph, based on Geoffrey Moore’s Crossing the Chasm, showcasing technologies at various stages:
- Innovators
 - Early Adopters
 - Early Majority
 - Late Majority
 

Changes Since 2023
The last report was 18 months ago. Since then, innovations and developments have shifted many technologies forward across adoption stages.

---
Notable Changes Since Last Year
Innovators
Significant shifts have occurred here, driven largely by advanced AI automation.
1. AI Agents in Cloud Engineering
AI tools have evolved from simple chatbots to action-oriented AI agents capable of executing complex tasks and interacting with cloud resources.
> Steef-Jan Wiggers: AI is growing from simple integrations into full “agentification” inside cloud services.
> Matt Saunders: Tools like Pulumi’s Neo are cloud engineering agents beyond just chat interfaces.
---
2. Practical, Early Governance Automation
AI is now actively enforcing governance and streamlining processes.
> Shweta Vohra: You can bake governance directly into CI/CD pipelines with AI enforcing checklists automatically.
---
3. Model Context Protocol (MCP)
Introduced by Anthropic in Nov 2024, MCP provides standardized integration between LLMs and external tools/data sources. Major vendors, including OpenAI, Microsoft, and Google, are integrating MCP.
> Matt Saunders: Expect an “MCP apocalypse” with widespread adoption, solving fine‑grained access challenges.
---
Real‑world AI Ecosystem Example:
Platforms like AiToEarn官网 integrate AI content generation, publishing, analytics, and monetization across Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter) — similar in concept to “agentification” in engineering.
---
Early Adopters
Focus areas:
- Platform Engineering Teams
 - Cross‑Cloud / Cloud‑Native Hybrid
 - Developer Experience Frameworks
 
1. Platform Engineering Maturity
Moving from tool aggregation to productized internal developer platforms (IDPs).
> Shweta Vohra: True platform‑as‑a‑product is rare; glue between tools is always a challenge.
---
2. Cross‑Cloud / Cloud‑Native Hybrid
Strategic multi‑cloud driven by compliance, sovereignty, and business continuity.
Kubernetes is the default foundation.
> Steef-Jan Wiggers: The reality is hybrid — many workloads remain local, especially with IoT/edge or latency constraints.
> Shweta Vohra: Hybrid cloud is common, with organizations mixing major clouds for best‑fit workloads.
---
3. Developer Experience Framework (DevEx)
Tools to measure DX are seen as drivers of business value, now in early adoption.
Notable: DX acquired by Atlassian.
> Matt Saunders: Expect deep integration with Atlassian tools to track and understand developer activity.
---
Early Majority
Technologies now widely adopted:
- Developer Experience focus
 - Service Mesh & eBPF
 - Continuous Testing
 
---
Late Majority
Fully established practices now include:
- FinOps
 - Enterprise‑level DevOps Toolchains
 - Observability
 
---
Conclusion
The maturity of FinOps, Observability, and enterprise DevOps toolchains signals a stable cloud‑native baseline where:
- Automation is default
 - Continuous delivery is normalized
 - Infrastructure is standardized
 
Challenge ahead:
Avoid tool and responsibility fragmentation — focus on integration, governance, and value‑stream thinking.
Integration trends:
- AI Agents + MCP for autonomous, governed automation
 - Hybrid/multi‑cloud resilience & sovereignty
 - Platform Engineering as a strategic discipline
 
Parallel in creative industries:
AiToEarn官网 shows how cross‑platform AI‑driven automation can streamline workflows with human oversight, reflecting modern DevOps practices.
---
Original link:
InfoQ Cloud and DevOps Trends Report – 2025
---
Recommended Reads
- a16z values 30 million developers at $3 trillion — equal to France’s GDP!
 - GPT‑5 slips unexpectedly — industry expectations misjudged?
 - Sky‑high AI salaries vs Meta AI layoffs
 - Dorm‑room AI startup conquers U.S. campuses
 
