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Category: Learn & Connect

The Compliance Mirage: What DevOps Leaders Revealed in the AI + DevOps Report

The Compliance Mirage: What DevOps Leaders Revealed in the AI + DevOps Report

16.09.202501.10.2025Fahmid KabirAI/ML, Blog, DevOps, Learn & Connect, Resources

Plenty of teams pass audits while still running weak, exposed systems behind the scenes. This report dives into the growing gap between paper compliance and real security, and how AI-powered platforms are starting to close it with always-on enforcement.

AI + DevOps Report 2026: Why Speed Still Slips in the Age of Automation

AI + DevOps Report 2026: Why Speed Still Slips in the Age of Automation

16.09.202511.11.2025Duplo Cloud EditorBlog, DevOps, Learn & Connect, Resources

CI/CD and IaC make it look like everything should move fast, but most teams still hit delays at the worst moments. This report unpacks why modern pipelines stall and how AI agents are helping close the gaps between “deployed” and “delivered.”

The Tool Sprawl Trap: What 135+ Engineers Told Us in the AI + DevOps Report

The Tool Sprawl Trap: What 135+ Engineers Told Us in the AI + DevOps Report

16.09.202501.10.2025Fahmid KabirAI/ML, Blog, DevOps, Learn & Connect, Resources

Teams say they’re consolidating tools, yet somehow the average stack keeps growing. This report breaks down why tool sprawl is quietly dragging down engineering productivity, and how integrated platforms are becoming the smarter way forward.

Launching Our 2026 AI + DevOps Report: What Dev Teams Need to Know

Launching Our 2026 AI + DevOps Report: What Dev Teams Need to Know

16.09.202501.10.2025Fahmid KabirBlog, DevOps, Learn & Connect, Resources

DevOps was supposed to speed things up, but for a lot of teams, it’s become a grind of tickets, audits, and burnout. This report uncovers how AI is starting to flip that script, based on what 135 engineers and leaders say is really happening inside their workflows.

What Developer Teams Need to Know in 2026

What Developer Teams Need to Know in 2026

15.09.202517.09.2025Fahmid KabirAI/ML, Compliance, Developers, DevOps, DevSecOps, eBooks, Learn & Connect, Resources

Discover AI infrastructure best practices that will help you deploy more efficient machine learning workloads.

Platform Engineering Automation: How to Speed Up Development and Cut Manual Work

Platform Engineering Automation: How to Speed Up Development and Cut Manual Work

05.09.202512.09.2025Joel LimBlog, Platform Engineering, Resources

Manual work slows everything down. This article shows how platform engineering automation cuts out the boring stuff, speeds up deployment, and helps your devs focus on what actually matters by building real features.

Platform Engineering Tools: Essential Technologies for Building Internal Developer Platforms

Platform Engineering Tools: Essential Technologies for Building Internal Developer Platforms

05.09.202512.09.2025Joel LimBlog, Platform Engineering, Resources

Platform engineering tools take the mess out of infrastructure so devs can focus on shipping features instead of fixing broken pipelines. This article breaks down the must-have tool types, the top picks for each, and how they all click together in a world run by AI copilots.

Platform Engineering Best Practices: Making Software Development Easier and Safer

Platform Engineering Best Practices: Making Software Development Easier and Safer

05.09.202512.09.2025Joel LimBlog, Platform Engineering, Resources

Platform engineering right now feels like the backbone holding fast-moving dev teams together. It’s not just about speed, it’s about giving developers the right tools while keeping security tight. This piece breaks down how smart internal platforms help teams ship faster, safer, and with less friction.

Is your PaaS Passé

Is your PaaS Passé

03.09.202503.09.2025Fahmid KabirBlog, DevOps, Learn & Connect, Migration, Resources

What if you could keep the speed of Heroku or other PaaS platforms, but with the compliance, uptime, and control of a big cloud provider?
Instead of hiding the stack, DuploCloud automates it, end to end inside your own AWS, GCP, or Azure account.

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