Javier Marcos is a software engineer with a decade of experience building and operating cloud-native platforms, now at Google after leading SRE efforts at VMware. He specializes in Kubernetes-driven infrastructure, observability, policy and configuration tooling, and has hands-on experience implementing operators, Kafka, BigQuery and Airflow for BI and event-driven architectures. Javier blends telecom engineering roots with strong DevOps and software skills in Go and Python, having designed scalable BI and real-time ingestion systems across GCloud and AWS. He’s passionate about mentoring peers and improving developer experience, demonstrated by managing 100+ internal clusters and driving platform-level automation. An engineer who moves confidently between infrastructure, data, and application concerns, he prefers pragmatic, auditable solutions that scale in production.
10 years of coding experience
9 years of employment as a software developer
Programa GAIA - Master in Professional Development 4.0, Programa GAIA - Master in Professional Development 4.0 at Universidad de Alcalá
Grado en Ingeniería de Tecnologías de Telecomunicación, Grado en Ingeniería de Tecnologías de Telecomunicación at Universidad de Valladolid
Kafka monitoring is a service written in golang that will help to monitor and calculate your SLO over your Kafka cluster. The service will start a Kafka producer who sends fake data to your Kafka cluster, collecting the result in different Prometheus metrics. Using these metrics we can create different alerts or dashboards.
Contributions:1 release, 11 reviews, 33 commits in 7 months
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