SnappyFlow
Full Stack Monitoring Tracing Metrics Logs Profiling Alerts·snappyflow.io
SnappyFlow is a full-stack observability platform offering metrics monitoring, distributed tracing, log management, alerting, profiling, synthetic monitoring, and SIEM capabilities. It supports application and infrastructure monitoring across VMs, containers, Kubernetes, and cloud services. The platform can be deployed as a fully managed cloud (SaaS) service or self-hosted (on-prem/hybrid), and includes over 100 integrations.
What it's for
Features 18
- 100+ pre-built integrations
- Alert notifications via Email, Slack, PagerDuty, or Webhooks
- Built-in CPU and Memory profiling
- Custom integration development on request
- Database performance monitoring
- Distributed tracing for Java, Python, Ruby, GoLang, PHP, .NET and Node.js applications
- File integrity monitoring
- Intelligent, customizable alerting engine with pre-built alert library
- Kubernetes and Docker microservices support
- Log Archival with 10-40x compression and inline search
- Log management with search, analytics, and parse-on-ingest
- Log Signatures to reduce noise and control log collection
- Open tracing compliant, integrated with Jaeger
- Proactive infrastructure metrics monitoring
- Real User Monitoring
- Real-time interactive dashboards with auto-recommendation
- SIEM for security event monitoring and compliance
- Synthetic monitoring of API endpoints and website availability
At a glance
Integrations
Complianceself-reported
Resources
Pricing
No public pricing figures given; pricing appears based on deployment type (Cloud vs Self-hosted) and data volume. Synthetic monitoring pricing stated to be based on size of data managed rather than workload frequencies. Both Cloud and Self-hosted plans offer a 14-day free trial.
14 days free trial
14 days free trial
Ideal for deployment in your own environment
Low footprint version ideal for small deployments
Ingest up to 500 GB per day