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Aerol
Sheridan, Wyoming, United States
What it is
Aerol combines website availability and performance monitoring with an AI DevOps agent for infrastructure work. Its monitoring tracks uptime, provides statistics and reporting, sends outage alerts, and checks SSL certificates. Aerol also describes a deployment workflow in which a user explains a change in plain English and its agent plans the work, provisions infrastructure, connects integrations and ships a production release. Named deployment options include GCP Cloud Run, AWS Lambda, Azure Functions and bring-your-own-cloud. The listed ecosystem includes GitHub, OpenAI, Anthropic, Google Cloud, AWS, Azure, Docker, Kubernetes, PostgreSQL, Redis, Supabase, Figma, Slack, Sentry, Cloudflare and Linear. Monitoring notifications can arrive through email, mobile apps or webhooks. The free plan costs nothing and supports up to 50 monitors with basic features and checks every five minutes. Paid plans monitor every one to three minutes depending on plan, though frequency may change with service load; paid pricing is on request. Aerol lists web as its platform and Sheridan, Wyoming, as its headquarters.
For and against
For
- Free plan supports up to 50 monitors
- Checks SSL certificates and reports uptime
- Notifications via email, mobile apps or webhooks
- Names GCP, AWS and Azure deployment options
Against
- Paid plan pricing is on request
- Paid monitoring frequency may change with service load
The verdict
Aerol pairs monitoring and alerts with a described workflow for deploying infrastructure changes. The free plan offers up to 50 monitors, while paid pricing is on request and monitoring frequency can vary with service load.
Who it suits
Aerol may suit teams looking for website monitoring alongside an agent-led infrastructure deployment workflow. Its named cloud options and ecosystem tools may be relevant to teams working with those services.
Plans and prices
Free Plan
Up to 50 monitors · basic features · monitoring every 5 minutes
Read 5 Oct 2026 · aerol.ai
On the record
- Cloud support
- The homepage names GCP Cloud Run, AWS Lambda, Azure Functions, and bring-your-own-cloud deployment.aerol.ai · read 5 Oct 2026
- Core product
- Aerol describes itself as a 24×7 AI DevOps agent that deploys, monitors, and heals infrastructure.aerol.ai · read 5 Oct 2026
- Data handling
- Aerol says source code is processed in isolated, ephemeral environments, is not retained beyond the analysis session, and is not used to train AI models.aerol.ai · read 5 Oct 2026
- Deployment workflow
- Users describe a change in plain English, and Aerol says its agent plans the work, provisions infrastructure, wires integrations, and ships a production release.aerol.ai · read 5 Oct 2026
- Integrations
- The homepage lists GitHub, OpenAI, Anthropic, Google Cloud, AWS, Azure, Docker, Kubernetes, PostgreSQL, Redis, Supabase, Figma, Slack, Sentry, Cloudflare, and Linear as ecosystem tools.aerol.ai · read 5 Oct 2026
- Notifications
- Aerol says it delivers monitoring notifications through channels including email, mobile apps, and webhooks.aerol.ai · read 5 Oct 2026
- Paid monitoring limits
- Paid plans monitor every 1–3 minutes depending on plan; Aerol says monitoring frequency may be adjusted based on service load.aerol.ai · read 5 Oct 2026
- Purpose
- Aerol monitors website availability and performance, sends outage alerts, provides uptime statistics and reporting, and monitors SSL certificates.aerol.ai · read 5 Oct 2026
- Security
- Aerol says it uses AES-256-GCM encryption at rest, TLS 1.2+ in transit, supports multi-factor authentication, and is GDPR compliant; its page labels SOC 2 Type I as ready and says a formal audit is planned.aerol.ai · read 5 Oct 2026
- Support
- Aerol lists [email protected] as its support contact.aerol.ai · read 5 Oct 2026
- Third-party processing
- Aerol lists OpenAI, Anthropic, and Google Gemini for AI model processing, and says connected integrations are user-authorized and receive only the minimum data needed for requested functionality.aerol.ai · read 5 Oct 2026
