Your cloud bill shouldn't grow faster than your product.
Cloud Intelligence gives your engineering and platform teams full visibility into infrastructure cost, availability, and performance — with AI recommendations that tell you exactly what to fix.
The Problem
Infrastructure costs are invisible until they hurt.
Most teams only notice cloud waste when the bill arrives. By then, you've already paid for idle resources, over-provisioned nodes, and inefficient queries running in production for months.
"Our AWS bill doubled in Q3 and we had no idea which service caused it."
"We only find out about availability issues when customers tweet at us."
"We know our infra is inefficient — we just don't know where to start."
Undetected cost waste
Idle EC2 instances, orphaned volumes, and over-provisioned Kubernetes nodes quietly drain 20–40% of cloud budget every month.
No proactive availability monitoring
Teams learn about degraded services from users, not from their own tooling. Reactive is expensive — both in revenue and engineering time.
Latency blind spots
Slow APIs and database bottlenecks live below SLO thresholds — invisible until they compound into full incidents.
No actionable optimization path
Dashboards show what's wrong, not why — or what to do about it. Engineers waste hours interpreting data instead of fixing it.
What Cloud Intelligence Does
Four capabilities. One platform.
Every capability runs inside your Kubernetes environment. Your data never leaves your cloud.
Cost Waste Detection
Automatically scans your Kubernetes clusters and cloud resources for waste — idle nodes, over-provisioned pods, orphaned volumes, underutilized databases. Quantifies the monthly dollar impact of every finding so you act on what matters most.
Availability Monitoring
Continuous health tracking across all services, pods, deployments, and endpoints. Get alerted before customers notice — not after. SLO/SLA tracking built in, with incident history correlated to deploys and config changes.
Latency & Performance Analysis
Surface slow APIs, expensive database queries, and memory-hungry services before they degrade user experience. P50/P95/P99 breakdowns across every service, auto-tagged to traces for fast root cause — not just a slow endpoint list.
AI Optimization Recommendations
Cloud Intelligence doesn't just surface problems — it tells you exactly what to change and why. AI-generated recommendations are specific, prioritized by cost and risk impact, and linked directly to affected services with steps to act.
How It Works
From deployment to first insight in under 5 minutes.
Connect Your Cloud
Modulis deploys inside your existing Kubernetes cluster. No agents required on individual services — one install covers your entire stack.
Auto-Discovery
Cloud Intelligence maps every resource — nodes, pods, services, databases, volumes — and begins collecting cost, latency, and availability signals.
AI Analysis
The AI layer correlates signals across all resources, identifies anomalies and waste patterns, and ranks findings by dollar and risk impact.
Act on Recommendations
Engineers receive a prioritized action list — not a dashboard to interpret. Each recommendation includes context, estimated savings, and steps to fix.
Savings Estimator
See what you could recover.
Adjust your numbers to estimate the annual value Cloud Intelligence typically surfaces at your scale. These are conservative industry benchmarks.
Estimated annual value
The Full Platform
Cloud Intelligence is one of three pillars.
Most customers start with Engineering Intelligence — then expand to Product and Cloud Intelligence as they grow. All three run in your cloud, under one flat annual subscription.
Pillar 1 · Wedge
Engineering Intelligence
Logs, traces, errors, and sessions unified. AI surfaces root cause and a fix — from alert to PR-ready code in minutes. This is where most teams start.
Pillar 2
Product Intelligence
Feature adoption, user behavior, funnels, and journeys. AI acts as your embedded PM — analyzing data and surfacing roadmap decisions backed by evidence.
Pillar 3
Cloud Intelligence
Cost waste, availability, latency, and infra optimization. AI tells you what to fix, prioritized by impact — not just what's wrong.
See what's wasting your cloud budget — today.
Most teams find $30K–$80K in recoverable cloud waste in their first week on Modulis. No credit card. No long onboarding.
Runs inside your Kubernetes cluster · Your data never leaves your cloud · Setup in under a week