AI cloud monitoring
for AWS, Azure, GCP.
Monitors your infrastructure 24/7, diagnoses anomalies, and surfaces findings before your on-call pager fires.
Get early access - free during beta
aws / us-east-1 / ec2
i-0abc123def456789
CPU 94% sustained over 15 min, ELB 5xx rate at 12% - correlated spike
OOM event likely. Check application logs on instance before next traffic peak.
soon
soonInfrastructure teams spend 12+ hours a week on reactive firefighting.
The signal is there. It is buried in 47 different dashboards, disconnected logs, and alerts with no context. By the time you diagnose the root cause, the incident window has closed.
Your engineers are context-switching between metrics dashboards, audit logs, and compute health at 3am. The same patterns keep repeating. Nothing gets fixed, just patched.
Industry averages, SRE reports 2024-25
How It Works
From zero to autonomous monitoring in three steps.
Deploy the agent into your account
Apply a Terraform module or CDK construct. It deploys the full agent stack — Lambda, EventBridge scheduler, SNS topic, and DynamoDB — directly into your AWS account. Use custom_instructions to tailor the agent to your environment without forking. RivetOps never touches your infrastructure.
Your AWS accountRivetOps never touches your infrastructure.
module "rivetops" {
source = "github.com/TheAdamLabs/rivetops-agent//infra/terraform/aws"
plugin_id = "sre"
# Tailor the agent to your environment
custom_instructions = <<-EOT
Focus on prod-cluster and staging-cluster.
Ignore CPU spikes on batch-worker instances.
EOT
}
output "findings_topic_arn" {
value = module.rivetops.findings_topic_arn
}# Output from your Terraform apply:
findings_topic_arn =
"arn:aws:sns:us-east-1:999888777666
:rivetops-findings"
# Subscribe your on-call endpoint:
aws sns subscribe \
--topic-arn <findings_topic_arn> \
--protocol email \
--notification-endpoint oncall@yourco.com
# Slack: use AWS Chatbot (no custom Lambda needed).
# Optional: connect dashboard at rivetops.proSubscribe your alerts
Subscribe your on-call endpoint to the SNS topic output. PagerDuty, email, SQS - whatever you already use. Optionally connect the RivetOps dashboard for historical view.
Rivet is runningEventBridge triggers the Lambda every 5 minutes. A pi.dev AI agent session starts, reads your CloudWatch metrics, CloudTrail events, and EC2 state using the built-in AWS CLI — same account, no cross-account access. Correlated findings are published to your SNS topic. Duplicates are suppressed automatically.
Zero dashboards to watch. Zero alert tuning. Zero 3am pages for noise.
[FINDING] Severity: HIGH
Resource: i-0abc123def456789
Type: ec2 / us-east-1
Signal: CPU spike 94% (15 min sustained)
ELB 5xx rate correlated at 12%
Action: Check application logs on
instance. Possible OOM event.
Recommend memory increase or
code-level investigation.
Confidence: 91% [SNS published]The Platform
Built around cloud architecture best practices.
AWS, Azure, and Google Cloud all converged on the same operational pillars. Each RivetOps capability targets one of those pillars and the team that owns it. SRE monitoring ships first. Full coverage by 2027 - one platform, no new tools to learn.
SRE Monitor
LiveInfra health checks, incident correlation, anomaly detection - 24/7.
Security Auditor
Q4 2026IAM drift, exposure scanning, misconfiguration alerts.
FinOps Agent
Q4 2026Rightsizing, waste detection, budget drift alerts.
Compliance +
2027Framework audits, audit trails, policy drift detection.
SRE Monitor
LiveInfra health checks, incident correlation, anomaly detection - 24/7.
Security Auditor
Q4 2026IAM drift, exposure scanning, misconfiguration alerts.
FinOps Agent
Q4 2026Rightsizing, waste detection, budget drift alerts.
Compliance +
2027Framework audits, audit trails, policy drift detection.
Pillars aligned with AWS, Azure & Google Cloud architecture frameworks
Ready to stop firefighting?
Join the waitlist. Free during beta.