SpikeTrap provides agent‑less, continuous network performance monitoring for hybrid and multi‑cloud environments, automatically discovering service dependencies and visualizing real‑time traffic flows. Its Bayesian anomaly detection pinpoints latency, jitter, or packet‑loss issues to specific hops or micro‑services and integrates with CI/CD pipelines and observability stacks for automated alerts and root‑cause analysis.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Distributed applications spanning hybrid and multi‑cloud environments often suffer from opaque network behavior, making it difficult for DevOps and network teams to detect latency spikes, packet loss, or misrouted traffic before they impact users. Without automated visibility into inter‑service dependencies, troubleshooting becomes manual, time‑consuming, and error‑prone.
Solution
SpikeTrap delivers continuous, agent‑less network performance monitoring that automatically discovers service dependencies and constructs a real‑time topology of traffic flows across all cloud and on‑premise segments. By correlating latency, jitter, and error metrics with the discovered graph, the platform pinpoints the exact hop or micro‑service causing degradation. Built‑in statistical anomaly detection generates actionable alerts that feed directly into existing incident‑response tools. Users can drill down from a high‑level flow map to packet‑level traces via an interactive web console, accelerating root‑cause analysis and reducing mean time to resolution. The solution integrates with CI/CD pipelines and observability stacks, enabling performance regression checks before code promotion. All data are encrypted in transit and stored in a HIPAA‑compliant, multi‑tenant cloud store, ensuring enterprise‑grade security.
Features
- Autonomous service‑dependency discovery using passive flow sampling across AWS, Azure, GCP, and on‑premise networks
- Real‑time flow visualization with latency heatmaps and packet‑loss overlays
- Statistical anomaly detection engine that applies Bayesian inference to flag outliers within seconds
- One‑click drill‑through from topology view to full packet capture for detailed forensic analysis
- Native integrations with Jenkins, GitLab CI, Prometheus, and Grafana for automated performance gating
- RESTful API and OpenTelemetry exporters for seamless data ingestion into existing monitoring stacks
- Role‑based access control and SSO (SAML/OIDC) with audit logging for compliance
- Configurable alert routing to Slack, Microsoft Teams, PagerDuty, and email with customizable escalation policies