Monitoring plays a critical role in DevSecOps by providing visibility into systems, workloads, and pipelines — allowing teams to detect anomalies, enforce policies, and respond to incidents in real time.
While traditional DevOps observability tools focus on performance, DevSecOps expands this to include:
- Runtime anomaly detection (e.g., unexpected syscalls, file access)
- Network traffic analysis
- Log monitoring for security signals
- Alerting on policy violations or suspicious behavior
- Forensics and post-incident analysis
- Helps detect security issues after deployment, when static/dynamic testing may no longer apply
- Enables real-time response to intrusion attempts or configuration drifts
- Supports compliance requirements via logging and alerting
- Provides forensic data for incident response and auditing
| Name | URL | Description | Stars |
|---|---|---|---|
| Falco | GitHub | Runtime security monitoring using eBPF; detects unexpected syscalls, file writes, process trees |  |
| Prometheus | GitHub | Core observability and metrics system; integrates with security exporters for audit trails, access monitoring |  |
| Grafana | GitHub | Visualization layer for metrics and logs; often used to display audit data, alerts, and pipeline health |  |
| Loki | GitHub | Scalable log aggregation system that works with Grafana; ideal for container logs |  |
| Elasticsearch + Kibana (ELK) | Website | Full-text search + visualization stack used for log monitoring and threat hunting |  |
| Sysdig | GitHub | Deep container inspection and monitoring with a focus on forensics and runtime behavior |  |
| Zabbix | GitHub | Infrastructure monitoring solution with flexible alerting and audit support |  |
| Wazuh | GitHub | Security-focused monitoring platform built on OSSEC for host intrusion detection, file integrity, log analysis |  |
| Category | Examples |
|---|---|
| Authentication | Failed logins, suspicious IPs, login attempts from new geographies |
| Authorization | Privilege escalations, RBAC changes, permission grants |
| Runtime Behavior | Shell spawns in containers, binary execution, network connections |
| Network Flow | Unexpected east-west traffic, excessive egress, non-whitelisted destinations |
| CI/CD Pipelines | Skipped tests, failed security gates, unsigned artifact deployments |
| Secrets Access | Access to vault, environment variable changes, AWS token usage |
| File Integrity | Changes in binaries, unexpected writes in /etc, log tampering |
- Define SLAs for security metrics just like performance metrics.
- Centralize logs from cloud, Kubernetes, CI, applications — normalize them for correlation.
- Alert only on meaningful thresholds to reduce noise.
- Correlate across sources (e.g., login → container exec → outbound traffic).
- Use dashboards for traceability during post-incident reviews.
- Tag events with metadata (commit ID, container hash, user) for forensic clarity.
- Store logs securely and immutably, especially for compliance environments.