What is Wavefront (Tanzu Observability), and what is it used for? [Advanced]
Answer
Wavefront, later known as Tanzu Observability by Wavefront and now reflected in Broadcom documentation as DX OpenExplore, is a high-scale streaming observability platform used for metrics, histograms, traces, dashboards, and alerts.
Technical explanation
It is known for high ingest rates, dimensional tags, fast analytics over time-series data, and advanced alerting/anomaly capabilities.
It is often used for infrastructure, Kubernetes, application metrics, and platform-level observability across large estates.
In interviews, I refer to both names because many environments still call it Wavefront while current docs may use newer branding.
Hands-on example
Example use case: send Kubernetes, cloud, JVM, and application metrics through collectors or proxies into Wavefront/DX OpenExplore. Build dashboards for service RED metrics, cluster saturation, and deployment events, then configure alerts on error rate, latency, and anomaly patterns.
Check how well your resume matches the role with our free resume checker— match score, ATS check, and the skills you're missing.
More Observability interview questions
- What is observability, and how is it different from traditional monitoring? [Basic]
- What are the three pillars of observability (metrics, logs, traces)? [Basic]
- What is the difference between monitoring and observability in practice? [Basic]
- What are the four golden signals of monitoring? [Basic]
- What is the difference between the USE method and the RED method? [Basic]
- When would you use the USE method versus the RED method? [Basic]
- What is an SLI, an SLO, and an SLA, and how do they relate? [Basic]
- How do you choose good SLIs for a service? [Basic]