Intelligent Infrastructure Monitoring

Intelligent monitoring that stops incidents before they start.

Prism combines natural language queries, proactive anomaly detection, and intelligent incident response to transform how you monitor Prometheus. Faster insights, fewer outages, smarter alerts.

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Prism Intelligence Dashboard
EARLY WARNING
Anomaly detected: Memory growth pattern
Database container trending toward OOM in ~45 minutes. Current: 87% (baseline: 65%)
You:What's causing the memory spike?
Prism:
Found correlation: Query cache size increased 3x after deployment at 14:32
Chart: Cache memory vs time (correlated with deploy)
PAGERDUTY INCIDENT #4291
Auto-generated context delivered to incident timeline
Error Rate
12.4%
Latency p99
2.1s
CPU
45%

Prometheus is powerful. PromQL is painful.

Complex Syntax

You shouldn't need to be a PromQL expert to monitor your infrastructure.

30% of incident time
spent writing queries

Missing Context During Incidents

When alerts fire, you're drowning in noise without the right metrics. Context switching between tools wastes critical time.

45 min average MTTR
20 mins gathering context

Reactive, Not Proactive

Static thresholds miss gradual degradations. By the time alerts fire, customers already noticed.

60% of incidents
could be caught early

One platform. Three superpowers.

Predict Problems Early

AI learns your metric baselines and detects anomalies before they escalate into outages

  • Pattern learning from historical data
  • Low-noise, high-signal alerts
  • 30-120 min early warning window

Respond to Incidents Faster

Auto-generated metric context delivered to PagerDuty the moment alerts fire

  • Relevant charts in incident timeline
  • No context-switching between tools
  • Reduce MTTR by 50%

Ask Questions, Get Answers

Natural language interface that converts questions into production-grade PromQL instantly

  • No syntax memorization required
  • Conversational follow-ups with context
  • Powered by Artificial Intelligence

Everything you need for intelligent monitoring

Built for DevOps engineers and SREs who want to prevent incidents, respond faster, and spend less time hunting for answers.

Anomaly Detection

Catch issues 30-120 min before they become outages

Intelligent Incident Response

Auto-generated context in PagerDuty when alerts fire

Natural Language Queries

Ask questions, get PromQL + charts instantly

Conversational Context

Follow-up questions that remember the conversation

Auto Metric Discovery

Automatic ingestion and semantic search

Query History

Save and share useful queries across teams

Multi-Org Support

Team-based access control and permissions

Enterprise Security

Encrypted credentials, SOC 2 ready

How It Works

Three powerful workflows to transform your monitoring experience

Natural Language Queries

01

Connect Your Prometheus

Add your Prometheus endpoint. Prism discovers all metrics automatically.

02

Ask Anything

Type questions in plain English. No syntax memorization required.

03

Get Instant Insights

Charts, PromQL, and AI-generated explanations in seconds.

Incident Response

01

Configure PagerDuty

Map services to metric labels in 2 minutes.

02

Alert Fires

Prism receives webhook and analyzes the incident.

03

Context Delivered

Relevant charts and insights appear in PagerDuty automatically.

Proactive Monitoring

01

AI Learns Patterns

Prism analyzes your metrics 24/7, building baselines.

02

Anomaly Detected

AI spots deviations before they escalate.

03

Early Warning Alert

Get notified with context and time to fix before outage.

Real teams. Real results.

Faster Incident Response

TechFlow (Series B SaaS)

Problem

MTTR was 60+ minutes, junior engineers struggled with Prometheus

Solution

Implemented Prism + PagerDuty integration

Results
  • MTTR reduced from 60 to 25 minutes
  • All engineers can now diagnose issues (not just SRE team)
  • Incident post-mortems include auto-generated metric context

Proactive Infrastructure Management

DataCorp (E-commerce platform)

Problem

Monthly database OOM incidents causing customer-facing outages

Solution

Enabled Prism anomaly detection for memory metrics

Results
  • Zero database OOM incidents in 3 months
  • Caught 5 potential issues 45-90 minutes early
  • 99.99% uptime achieved (up from 99.8%)

Onboarding New Engineers

CloudScale (Infrastructure startup)

Problem

New hires took 2+ months to become effective with monitoring

Solution

Used Prism as primary metrics interface

Results
  • Onboarding time cut to 2 weeks
  • Engineers productive with metrics from day 1
  • Reduced dependency on senior SRE team

Built for technical teams

Enterprise-grade architecture with security and compliance at the core

Security & Compliance

  • SOC 2 Type II compliant architecture
  • Fernet encryption for credentials at rest
  • Enterprise SSO (SAML, Google, GitHub)
  • Audit logs for all query activity
  • Data residency options (US, EU)

Integrations

  • Prometheus (all versions)
  • PagerDuty (webhooks + API)
  • Slack (coming soon)
  • Grafana export (coming soon)
  • Datadog, New Relic (coming soon)

Simple, transparent pricing

No surprises. No hidden fees.

Starter

Perfect for trying out Prism

Free
  • 1 Prometheus connection
  • 100 queries/month
  • 7-day query history
  • Community support
Most Popular

Team

For teams serious about monitoring

$99/month
  • 5 Prometheus connections
  • Unlimited queries
  • 90-day query history
  • PagerDuty integration
  • Anomaly detection (beta)
  • Email support

Enterprise

For organizations at scale

Custom
  • Unlimited connections
  • Multi-organization support
  • SSO (SAML, Okta)
  • Custom anomaly models
  • Dedicated support + Slack
  • SLA (99.9% uptime)

Loved by DevOps teams

"Prism cut our incident response time in half. The PagerDuty integration is a game-changer."

Sarah Chen
DevOps Lead, TechFlow

"We prevented 5 outages last month thanks to anomaly detection. Best monitoring investment we've made."

Marcus Rodriguez
SRE Manager, DataCorp

"Finally, a tool that makes Prometheus accessible to our entire team, not just the experts."

Emma Thompson
Engineering Manager, CloudScale
2,000+
queries processed daily
3.2s
average query time
50%
reduction in MTTR
30-120min
early warning time

Frequently Asked Questions

Ready to stop fighting with PromQL?

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SOC 2 Compliant
No Credit Card
14-Day Trial
Expert Onboarding
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