Sherlocks.ai Blog

Comparing NewRelic, DataDog BITS AI, PagerDuty and Sherlocks.ai

What is an AI SRE really and why is it possible now than before? And how to get started.

Curious about SRE? Discover how Site Reliability Engineers (SREs) keep systems reliable, fix problems fast, and help services scale with ease.

Being an SRE means juggling alerts, outages, and endless complexity—sometimes it feels like the system never sleeps, and neither do you.

Can an AI SRE agent with 99% accuracy help your team achieve 99.99% uptime? This analysis quantifies the real impact of AI on incident response, downtime reduction, and what it truly takes to reach elite reliability targets.

Every SRE has typed a kubectl flag at three in the morning, hit Enter, and realised-too late-that the syntax was off by a hair.
Google’s new kubectl-ai project promises to end that dance.

“So… how is Sherlocks.ai different from k8sgpt or RunWhen?”
I get that question on nearly every intro call, so here’s the answer in one place—minus the hype, minus the jargon.

Site Reliability Engineering is undergoing a fundamental transformation. The combination of increasingly complex systems and advances in artificial intelligence is creating a new paradigm for how we manage incidents and ensure reliability.

Site Reliability Engineering (SRE) has become the backbone of modern infrastructure management—but it comes at a cost.