AI Blog - Page 2
AI SRE Needs More Than AI: It Needs Operational Context
Why incident response still fails without ownership, history, and coordination
Taming the Angry Intern: How AI is Reshaping Platform Engineering
Turning AI into a predictable, policy‑driven part of your platform engineering toolkit
Designing for AI with AI
From predictable systems to fluid experiments If we look at the history of computing, traditional products have always boiled down to three core components: input → system → output . This process is entirely predictable. Users control the input. The system follows a predefined logic—rules, workflow
Building Trust with AI Agents in Site Reliability Engineering
Discover how AI agents in SRE build trust, automate resolutions, and prevent outages.
Llama 4 Benchmarked Against Coding-Centric Models
Rootly AI Labs analyzes the performance of Meta’s Llama 4 models and finds they underperform compared to competitors like Claude 3.5 Sonnet and Qwen2.5
A Guide to Evaluating AIOps and Agentic AI Tools
A practical framework for evaluating AI tools based on four core pillars: Accuracy, Transparency, Adaptability, and Agentic capabilities.
TDX 2025: Agentic AI is changing how we work
TDX was buzzing with energy as Salesforce unveiled Agentforce 2.0, bringing agentic AI directly into Slack.
Classifying Error Logs with AI: Can DeepSeek R1 Outperform GPT-4o and Llama 3?
Can a smaller AI model outperform a larger one? A distilled version of DeepSeek R1 (70B) outperformed Llama and nearly matched GPT-4o in classifying error logs. These results suggest that model efficiency, not just size, is key to AI performance in incident management.
How Meta and Google use AI to improve incident response
Discover how Google is optimizing for accuracy in its AI strategy, while Meta strives to expand its response capabilities through machine learning.
Boost Your Productivity with AI-Powered Tools
Explore how AI-powered tools like Slack, Salesforce, Canva, and Rootly are revolutionizing the way we work.
Building a Privacy-First AI for Incident Management
Bringing AI into the game, Rootly isn't just playing it safe with privacy; we're setting a new standard. Discover the fusion of cutting-edge AI with uncompromised privacy in incident management
What Does AIOps Mean for SREs? It’s Complicated.
AIOps can bring some value to SREs, but it’s important to maintain healthy perspective about the limitations of AIOps.
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