The Tools, Launches, and Research Shaping AI Native DevOps - Issue 18
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Welcome back to VibeOps your weekly newsletter of how AI is changing DevOps. Each issue, we break down the most important launches, tools, research, and ideas changing the future of infrastructure and operations
This week’s edition is full of cool stuff!
Coffee ready? Here is this week's AI 4 DevOps news.
New Relic Announces Agentic AI Integrations with Microsoft Azure
New Relic claims its new agentic AI integrations with Microsoft Azure will cut MTTR and increase developer productivity by bringing real time observability data directly into Azure’s SRE workflows.
The MCP powered setup lets AI agents access telemetry, make root cause analysis faster, and automate parts of incident response.
Honeycomb Announced Canvas
Honeycomb announced that Canvas is now in general availability. It brings AI guided observability that lets teams ask natural language questions about their systems and get insights, which is supposed to make debugging and incident investigation faster and more intuitive.
Opsera Announces Strategic Partnership with Koantek
Opsera and Koantek announced a partnership to speed up Databricks adoption by combining Opsera’s automated DevOps pipelines with Koantek’s Databricks expertise.
This collaboration is supposed to helps teams deploy data and AI workloads faster, with scalable automation, stronger governance, and quicker time to value.
Upcoming Events
AWS re:Invent 2025
AWS re:Invent 2025 will be between December 1–5 in Las Vegas, bringing the latest in cloud, AI, and DevOps. Expect major announcements, technical sessions, and hands-on labs focused on the shift toward AI native engineering workflows.
🔗 reinvent
Learning Resources
Every week, we come across interesting blogs, papers, and tutorials that help us level up as a DevOps team. Here are some of the coolest ones we found this week. We hope they inspire you, too.
Can AI shape the future of Autonomous DevOps workloads?
In this episode of AI Native Dev. Armon shares his expertise on the evolving role of AI in modern infrastructure management, discussing the life cycle of infrastructure, the tools involved, and the potential for AI to automate and streamline these processes.
DEVOPS GYM: BENCHMARKING AI AGENTS IN SOFTWARE DEVOPS CYCLE
DEVOPS GYM is a new benchmark it evaluates how well AI agents handle real DevOps tasks across build/configuration, monitoring, issue resolution, and test generation. Based on 698 tasks from real Java and Go projects, the paper shows that current agents still struggle with core operational workflows.
NOTE: The paper is still under review
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Written with 💚 (and a lot of synthetic caffeine) by the VibeOps team ☕🤖
It's interesting how quickly the landscape of AI in DevOps is evolving. I particularly appreciated the mention of Honeycomb's Canvas and its AI guided observability. The ability to ask natural language questions about systems will truly democratise debugging and streamline incident investigation. very insightful analysis.