Will 2000 Tokens Per Second Change How We Do DevOps?- Issue 9
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Hey Everyone👋
This week in VibeOps, OpenAI released GPT5, AI coding is getting a lot faster, systems start fixing themselves, and Google’s AI takes incident response to the next level.
We have a lot prepared for you, so grab your coffee and let’s see what the AI agents are up to this week.
Cerebras Code Brings 2,000 Tokens Per Second AI to Coding
Cerebras has launched Cerebras Code, an AI tool capable of generating code at up to 2,000 tokens per second. For DevOps, this speed could shorten development cycles and make automation even faster, though its real world impact is yet to be proven.
Gremlin Launches AI That Spots and Fixes System Risks in Real Time
Gremlin has released Reliability Intelligence, a new feature that analyzes system tests, identifies issues, and provides remediation suggestions. It integrates with large language models to help teams address reliability risks more efficiently.
Google Showcases AI-Powered Forensics Tool for Faster Incident Response
Detecting and responding to cyber threats just got a major upgrade. Google has added its open-source forensic tool, Timesketch, with Sec‑Gemini, which is their AI powered detective that can automatically go through logs, reconstruct attack timelines, and highlight suspicious activity, which saves analysts hours of work.
Google says the update will help speed up incident response, and they demonstrated its capabilities live at Black Hat USA 2025.
OpenAI Launches GPT-5 Its Most Advanced AI Yet
OpenAI has released GPT-5, its most advanced AI model so far. It offers faster responses, improved reasoning, and they claimed that it offers strong performance in coding, math, visuals, and voice. OpenAI provides three API versions—gpt-5, gpt-5-mini, and gpt-5-nano.
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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.
How to stay relevant in DevOps?
In this video, Anton Antonovich (Senior Systems Engineer) explains how he uses AI to speed up onboarding, automate infrastructure as code, and prevent errors.
He also talks about the importance of soft skills and why natural language is now his favorite programming tool.
Comparative Analysis of AI-Driven Security Approaches in DevSecOps
A recent systematic review explores how AI and machine learning are transforming security in DevOps pipelines. From automating vulnerability detection to predicting threats.
The study highlights best practices and reveals key gaps like the need for stronger real-world validation and seamless integration into existing workflows.
A quick favor (helps a lot):
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Reply to this email and just say: “Got it” or “Let’s gooo” or drop your favorite emoji.
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One Last Thing
VibeOps is made by the community for the community, so reply to these emails with all your cool AI use cases for DevOps and any cool AI tools that you use, and we will feature them in our next issue
Written with 💚 (and a lot of synthetic caffeine) by the VibeOps team ☕🤖