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Anodot

Detect and alert anomalies in web apps, monitor cloud infrastructure, and address potential issues proactively.

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What is Anodot?

Anodot is an anomaly detection platform designed to monitor web applications and cloud infrastructure in real time. It automatically identifies unusual patterns in your systems that might indicate performance issues, security threats, or resource problems before they impact users. The tool sends alerts when it detects deviations from normal behaviour, allowing teams to investigate and fix issues proactively rather than reactively. Anodot is built for DevOps teams, cloud engineers, and operations staff who need to monitor complex, dynamic environments where manual threshold-based alerting falls short. The platform learns what normal looks like for your specific infrastructure, then flags genuine anomalies without generating excessive false positives.

Key features

Real-time anomaly detection

automatically identifies unusual patterns in application and infrastructure metrics without manual threshold configuration

Cloud infrastructure monitoring

covers major cloud providers and tracks resource utilisation, performance metrics, and cost anomalies

Custom alert rules

set up notifications based on detected anomalies or specific conditions that matter to your business

Machine learning analysis

the system learns baseline behaviour over time to improve detection accuracy

Integration with incident management tools

connects with popular alerting and ticketing platforms to simplify workflow

Metrics exploration dashboard

visualise and investigate detected anomalies with historical context

Pros & cons

Advantages

  • Reduces alert fatigue by focusing on genuine anomalies rather than static thresholds
  • Learns your specific system behaviour automatically, so it works out of the box without extensive tuning
  • Covers both application performance and infrastructure monitoring in one platform
  • Freemium option available for smaller teams or proof-of-concept work

Limitations

  • Requires sufficient historical data to establish baselines; new systems may take time to become effective
  • Configuration and integration complexity can be high in large, multi-cloud environments

Use cases

Detecting sudden spikes in API response times or error rates before customers notice degradation

Identifying unusual cloud resource consumption patterns that might indicate cost overruns or security issues

Monitoring database performance metrics across production environments to catch emerging bottlenecks

Alerting on unexpected changes in user behaviour or transaction patterns that suggest problems

Tracking anomalies in deployment pipelines to catch failures early

Ready to try Anodot?

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Pricing

Free

Free

Basic anomaly detection, limited metrics, community support

Pro

Contact for pricing

Advanced anomaly detection, multiple data sources, priority support, custom integrations

Enterprise

Contact for pricing

Full platform access, dedicated support, custom SLAs, advanced security features

Get started with Anodot

Click through to Anodot and start using it now.

Try Anodot free
  • Free plan available
  • No credit card