2025 InfoQ Trends Report: Cloud Computing and DevOps

2025 InfoQ Trends Report: Cloud Computing and DevOps

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.

image
image

---

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
image

Changes Since 2023

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

image

---

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

---

image

Read the original article

Open in WeChat

Read more

Drink Some VC | a16z on the “Data Moat”: The Breakthrough Lies in High-Quality Data That Remains Fragmented, Sensitive, or Hard to Access, with Data Sovereignty and Trust Becoming More Crucial

Drink Some VC | a16z on the “Data Moat”: The Breakthrough Lies in High-Quality Data That Remains Fragmented, Sensitive, or Hard to Access, with Data Sovereignty and Trust Becoming More Crucial

Z Potentials — 2025-11-03 11:58 Beijing > “High-quality data often resides for long periods in fragmented, highly sensitive, or hard-to-access domains. In these areas, data sovereignty and trust often outweigh sheer model compute power or general capabilities.” Image source: unsplash --- 📌 Z Highlights * When infrastructure providers also become competitors, startups

By Honghao Wang