Antonio Jimenez

Perses is a next-generation, declarative visualization engine for observability. I show how it enables reproducible, GitOps-friendly dashboards that integrate with OpenTelemetry-based stacks.

Traditional RUM tools lack deep correlation with backend systems. Here we convert browser HAR data into OpenTelemetry traces to correlate frontend UX with backend reliability signals.

ThousandEyes, part of Cisco, collects 30,000 data points per second via Rest API. To simplify integration, we've developed a system using OpenTelemetry, allowing customers to correlate their data with ThousandEyes.

¿Qué sabéis sobre observabilidad?

Technical lead for telemetry export and integration services streaming ThousandEyes network test data to external observability platforms via OpenTelemetry.

• Designed and led OTel-based export pipelines for network test data, targeting high events/sec and multiple backend integrations.
• Improved ingestion reliability by adding backpressure controls, idempotency, and richer Kafka/collector observability.
• Reduced MTTR for customer integrations with tracing, structured logging, and SLO dashboards.
• Drove operational readiness (SLOs, alerting, runbooks) and mentored engineers on telemetry modeling and service boundaries. Stack: Java/Spring, Kafka, DynamoDB, Redis, AWS, Terraform, Kubernetes/ArgoCD, OpenTelemetry Collector (Go), Grafana/Prometheus, Jenkins/GitHub Actions.

Built middleware to communicate data between machines following the DDS specification.

• CORE team member contributing to RTI Connext DDS products; delivered features in C, C++, and Java.
• Improved performance and provided customer solutions; documented APIs and analyzed benchmarks.
• Led recruitment, onboarding, and mentoring across the engineering team. Stack: C/C++, Java, DDS, performance analysis, customer enablement.