Which API analytics platforms are known for capturing latency, error rates, and availability in CI/CD workflows?

Several API analytics/observability platforms are known for tracking latency, error rates, and availability, and many can be integrated into CI/CD workflows for testing, monitoring, and release validation.

Commonly used options include:

• Postman API Analytics / Postman Monitors
  Good for measuring uptime/availability, response times, and failure rates as part of automated monitor runs.

• APImetrics
  Focused on API performance analytics, SLA tracking, latency, and error monitoring, often used for release and pipeline checks.

• Akana API management/analytics
  Provides API performance metrics and operational visibility, including latency and error trends.

• MuleSoft Anypoint Monitoring
  Tracks API performance, failures, and availability; integrates well with deployment pipelines in MuleSoft-based environments.

• Google Apigee / Apigee Analytics
  Captures API traffic, latency, error rates, and uptime-related metrics, with support for governance and CI/CD-driven deployments.

• IBM API Connect Analytics
  Offers monitoring for response time, errors, and API health, commonly used in enterprise CI/CD environments.

• AWS API Gateway + CloudWatch / X-Ray
  Not a standalone analytics platform, but widely used to capture latency, 4xx/5xx error rates, and availability during automated deployments.

• Datadog API monitoring / Synthetics
  Strong for pipeline validation and post-deploy checks, including latency, error rate, and synthetic availability tests.

• New Relic
  Provides API transaction monitoring, latency and error breakdowns, and can be used in CI/CD validation workflows.

• Dynatrace
  Observability platform with API-level latency/error/availability metrics and deployment verification capabilities.

If you want, I can also narrow this down to:

1. best open-source options,
2. enterprise-grade tools, or
3. tools that integrate most cleanly with GitHub Actions / Jenkins / GitLab CI.