Onyx
Public Beta — 500+ teams

Ship with
confidence.

AI-powered DevOps that automates deployments, monitors infrastructure, and resolves incidents before they impact your users.

Uptime0%SLA guaranteed
Avg Response
0ms
18% from last week
Services5/5 healthy
api-gatewayhealthy
auth-servicehealthy
worker-poolhealthy
redis-cachehealthy
postgres-dbhealthy
Activity
Deployed v2.4.02m ago
Auto-scaled +3 pods8m ago
Alert resolved #124714m ago
Health check passed16m ago

Trusted by teams at

AnthropicAnthropic
Figma
Shopify
Microsoft
OpenAI
Vercel
Linear

Features

Everything you need to ship reliably

From deployment to monitoring to incident response — Onyx covers your entire DevOps lifecycle with AI-powered automation.

DEPLOY

Deploy Intelligence

AI-powered deployment pipeline that predicts failures before they happen. Automatic rollbacks, canary analysis, and zero-downtime deploys.

23savg deploy time
Deploy Pipelineproduction · v2.4.0
$ onyx deploy --env production --canary
▸ Connecting to cluster us-east-1...
▸ Running pre-deploy health checks...
✓ Health checks passed (12/12)
▸ Building container image v2.4.0...
✓ Image built in 23.4s — sha:a1b2c3d
▸ Canary: shifting 5% traffic to v2.4.0...
✓ Canary metrics nominal — promoting to 100%
▸ Rolling deployment 4/4 pods...
✓ Deployment complete — 0 downtime
Latency: 42msCPU: 23%Memory: 512MB
ALERTS

Smart Alerts

ML-driven anomaly detection that cuts alert noise by 90%. Context-aware routing ensures the right person gets paged at the right time.

90%noise reduction
Alert Pipelinelive · 5m window
$ onyx alerts --watch --smart
▸ Monitoring 247 raw events (5m window)
▸ Correlating across 12 signal sources...
✓ Grouped 247 events into 2 root causes
#1 Memory leak — worker-pool-3
Correlated: OOM kills + GC pauses + replica lag
Routed to: SRE on-call
#2 Disk saturation — node-07
Correlated: I/O latency + connection pool
Routed to: Platform team
✓ 99.2% noise filtered — 2 alerts delivered
Events: 247Alerts: 2Filtered: 99.2%
SCALE

Auto Scaling

Predictive scaling that provisions resources before traffic spikes. Save up to 40% on infrastructure costs.

40%infra cost saved
Auto-Scaleus-east-1 · predictive

Current

3.2k rps

Predicted

8.7k rps

Headroom

+172%

Traffic load3.2k 8.7k
37% now82% projected
CPU capacity23% 68%
23% now68% projected
Instance pool3/8 8/8
38% now100% projected
Scaling ahead of predicted spike
ETA 12s
INCIDENTS

Incident Response

Automated runbooks triggered by anomaly detection. MTTR reduced by 73% on average.

18smean time to resolve
Incident Responseauto-resolve · active
$ onyx incident detect --auto-resolve
▸ Alert: Memory spike on worker-pool-3 (4.2GB → 7.8GB)
▸ Running root cause analysis...
✓ Identified: Cache layer memory leak in redis-cache-02
▸ Executing runbook: auto-remediate-memory.yml
✓ Cache flushed — redis-cache-02
✓ Pods recycled (3/3) — 0 dropped requests
✓ Incident #1247 resolved in 18s
Mean time to resolve18s (↓73% vs manual)
COST

Cost Optimization

Real-time spend tracking with AI recommendations. Identify idle resources and right-size instances.

$2.8ksaved per month
Resource Audit$2,822/mo saveable
Compute (EC2)
$4,200$1,596
62% utilized38% idle
Database (RDS)
$1,800$612
44% utilized56% idle
Storage (S3)
$960$480
28% utilized72% idle
AI recommends right-sizing 3 instances + 2 reserved conversions
COMPLIANCE

Compliance

SOC 2, HIPAA, and GDPR compliance built in. Automated audit trails and policy enforcement.

100%policy pass rate
Policy Scan
SOC 2 + HIPAA + GDPR5/7 passed
encryption-at-rest1.2s
access-controls0.8s
audit-logging2.1s
data-retention0.4s
network-security1.6s
cert-rotation
secret-management
Continuous — runs every 6hLast full pass: 12m ago

Showcase

Your operations, at a glance

Real-time dashboards that give your team complete visibility into every deployment, metric, and incident.

Uptime

99.99%

+0.02%

Avg Latency

42ms

-12ms

Error Rate

0.01%

-0.03%

Throughput

12.4k rps

+2.1k

CPU Usage

34%

-8%

Memory

2.1 GB

+0.3 GB

How It Works

Up and running in minutes

Three simple steps to transform your DevOps workflow with AI-powered automation.

SETUP

Connect

Link your repositories and infrastructure in minutes. Onyx auto-discovers services, dependencies, and deployment targets across your stack.

5 minto first deploy
OBSERVE

Monitor

AI baselines your system's normal behavior within 24 hours. Get intelligent alerts, not noise — every notification includes context and suggested actions.

24 hrsto full baseline
AUTOMATE

Resolve

When issues arise, Onyx provides root cause analysis in seconds. Automated runbooks handle common incidents while your team focuses on building.

18savg resolution

Integrations

Works with your stack

Connect Onyx to the tools you already use. First-class integrations with all major DevOps platforms.

Source & Infrastructure

GitHub

Repository & CI/CD

GitLab

Repository & pipelines

Docker

Container runtime

Kubernetes

Orchestration

Terraform

Infrastructure as code

AWS

Cloud infrastructure

GitHub

Repository & CI/CD

GitLab

Repository & pipelines

Docker

Container runtime

Kubernetes

Orchestration

Terraform

Infrastructure as code

AWS

Cloud infrastructure

Monitoring & Workflow

Datadog

Monitoring & APM

Slack

Team notifications

PagerDuty

Incident management

Jira

Issue tracking

Prometheus

Metrics collection

Grafana

Dashboards & viz

Datadog

Monitoring & APM

Slack

Team notifications

PagerDuty

Incident management

Jira

Issue tracking

Prometheus

Metrics collection

Grafana

Dashboards & viz

By the Numbers

Built for scale, proven in production

Trusted by hundreds of teams to keep their infrastructure running smoothly, around the clock.

99.99%

Uptime SLA

<50ms

Avg Response Time

2M+

Deployments Handled

500+

Teams Worldwide

Testimonials

Trusted by engineering teams

See what teams are saying about their experience with Onyx.

Onyx cut our deployment time from 45 minutes to under 3. The AI rollback saved us during a critical production release.

SC

Sarah Chen

VP of Engineering, Vercel

We went from 200+ alerts per day to fewer than 10 meaningful ones. On-call engineers finally sleep through the night.

MR

Marcus Rodriguez

SRE Lead, Stripe

The incident response automation alone justified the cost. Our mean time to recovery dropped from hours to minutes.

AP

Aisha Patel

CTO, Linear

Onyx understands our infrastructure better than most engineers on the team. The AI recommendations are always spot-on.

DK

David Kim

Platform Lead, Shopify

Onyx cut our deployment time from 45 minutes to under 3. The AI rollback saved us during a critical production release.

SC

Sarah Chen

VP of Engineering, Vercel

We went from 200+ alerts per day to fewer than 10 meaningful ones. On-call engineers finally sleep through the night.

MR

Marcus Rodriguez

SRE Lead, Stripe

The incident response automation alone justified the cost. Our mean time to recovery dropped from hours to minutes.

AP

Aisha Patel

CTO, Linear

Onyx understands our infrastructure better than most engineers on the team. The AI recommendations are always spot-on.

DK

David Kim

Platform Lead, Shopify

We scaled from 10 to 200 microservices without adding a single ops hire. Onyx handles all of the complexity for us.

EV

Elena Vasquez

Director of Infrastructure, Figma

Predictive scaling saved us $2M in cloud costs last year. It understands our traffic patterns better than we ever did.

JW

James Wright

Cloud Architect, Notion

SOC 2 compliance used to take months of work. With Onyx we maintain continuous compliance without dedicated staff.

PS

Priya Sharma

Security Lead, Supabase

Best developer experience I've seen in any DevOps tool. Our engineering team actually enjoys doing deployments now.

TA

Tom Anderson

Engineering Manager, Planetscale

We scaled from 10 to 200 microservices without adding a single ops hire. Onyx handles all of the complexity for us.

EV

Elena Vasquez

Director of Infrastructure, Figma

Predictive scaling saved us $2M in cloud costs last year. It understands our traffic patterns better than we ever did.

JW

James Wright

Cloud Architect, Notion

SOC 2 compliance used to take months of work. With Onyx we maintain continuous compliance without dedicated staff.

PS

Priya Sharma

Security Lead, Supabase

Best developer experience I've seen in any DevOps tool. Our engineering team actually enjoys doing deployments now.

TA

Tom Anderson

Engineering Manager, Planetscale

FAQ

Frequently asked questions

Everything you need to know about getting started with Onyx. Can't find what you're looking for? Reach out to our team.

Ready to ship
with confidence?

Join 500+ engineering teams that trust Onyx to deploy faster, monitor smarter, and resolve incidents before they impact users.