DEV Community: Samson Tanimawo

Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams

Samson Tanimawo — Mon, 13 Apr 2026 00:42:12 +0000

Hey, I'm Samson — and I built Nova AI Ops because I was tired of being paged at 3 AM.

For years, I watched SRE teams (including my own) drown in the same problems:

12+ monitoring tools that don't talk to each other
$50,000/month bills from Datadog + PagerDuty + Splunk + New Relic + OpsGenie + half a dozen more
300+ alerts per day, most of which were noise
47-minute MTTRs because engineers had to check 6 dashboards during every incident
On-call burnout so bad that 40% of the team left in a year

I kept thinking: this has to be a tooling problem, not a people problem.

So I built Nova AI Ops.

What Nova AI Ops Is

Nova AI Ops is one AI-native platform that replaces your entire monitoring and incident response stack. One install command, zero config files, 500+ integrations.

But the real difference isn't the consolidation — it's the AI.

We built a fleet of 100 specialized AI agents that work in parallel:

Detection agents watch metrics, logs, traces, and events 24/7
Correlation agents group related alerts (94% noise reduction in production)
Diagnosis agents match incoming incidents against 10,000+ historical patterns
Remediation agents execute 954 pre-built runbooks with automatic rollback
Approval Queue for high-risk actions that need a human in the loop

The result? 78% of incidents auto-resolve without anyone getting paged. The 22% that do reach humans arrive with root cause analysis, blast radius preview, suggested fix, and one-click approval.

The Numbers That Matter

Here's what we see in production environments:

Metric	Before Nova	After Nova
Alerts per day	300+	~18
MTTR	47 min	3 min
Auto-resolution rate	0%	78%
Monitoring bill	$50K/mo	$29/user
Dashboards during incidents	6+	1
Tools replaced	-	12+

What Makes It "AI-Native"

Most "AIOps" tools bolt ML onto existing monitoring. They make alerts smarter but still wake you up.

Nova was built AI-first from day one:

Agents think, not just alert. When an incident fires, the diagnosis agent walks your dependency graph, pulls relevant logs, queries historical patterns, and produces a ranked list of likely causes — before any human opens the dashboard.
What-If simulation. Before enabling auto-remediation on a runbook, you can replay any past incident through it to see exactly what would have happened. No surprises in production.
Baseline learning. Nova observes your services for 14 days and learns what "normal" looks like. A traffic spike that would trigger a static threshold gets ignored if it matches Tuesday morning patterns.
Safety rails. Every remediation runs in a sandboxed context with automatic rollback if validation fails. High-risk actions (database changes, prod deploys) always require human approval via the Approval Queue.

Who It's For

Nova AI Ops is for you if:

You're an SRE, DevOps engineer, or platform engineer
You run production workloads on AWS, GCP, Azure, or Kubernetes
You're tired of tool sprawl, alert fatigue, or on-call burnout
You want AI that actually does work, not AI that just summarizes dashboards

What We Replace

One Nova subscription replaces:

Datadog (metrics + APM + infra monitoring)
PagerDuty / OpsGenie / VictorOps (on-call + alerting)
Splunk / Elastic (log management)
New Relic / Dynatrace (APM)
Grafana (dashboards, but you can keep yours if you want)
Custom runbook tools and incident management platforms

Everything in one dashboard, one bill, one AI platform.

Pricing (Because I Hate "Contact Sales" Pages)

Basic: Free forever, 1 user, core monitoring
Standard: $29/user/mo, up to 10 users, AI Copilot, on-call scheduling
Pro: $50/user/mo, unlimited users, full AI auto-remediation, 90-day retention

No enterprise sales call. Self-serve upgrade. Free trial at novaaiops.com — no credit card required.

What's Coming Next

Over the next few weeks, I'll be posting deep-dives on dev.to about:

How we built the AI agent fleet architecture
The correlation engine that cuts alert noise by 94%
Runbook automation patterns that actually work in production
Post-mortem best practices from 200+ real incidents
Monitoring costs and why your bill is too high
On-call wellness and fair rotation design

If any of this resonates, follow along. I write honestly about what works and what doesn't — no marketing fluff.

Try It

If you want to see it in action, novaaiops.com has a free trial with no credit card required. Install takes under a minute:

curl -fsSL https://get.novaaiops.com/install.sh | sudo bash

And if you just want to talk shop about SRE, monitoring, or AI agents, drop a comment. I read every reply.

Happy to answer any questions about the platform, the tech, or the decision to build it in the first place.

— Samson