Emmanuel Ruiz
Sr. Platform & Observability Engineer | KCD Mexico Speaker
Mexico City, Mexico
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Senior Platform & Observability Engineer at Crediclub, a Mexican fintech, where he leads observability strategy, SLO design, and intelligent alerting for cloud-native infrastructure running on Kubernetes.
Previously, designed and implemented enterprise-scale observability systems at Dynatrace for Fortune 50 clients, including alerting architecture, automated incident triage, ServiceNow integration, and live platform migrations, consolidating multiple observability tools into a unified, cost-conscious telemetry strategy for high-volume messaging infrastructure.
KCD Mexico 2026 speaker on Security Observability in Cloud-Native Environments
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Security Observability: Stop Guessing, Start Knowing
Alerts tell you what happened, but they rarely explain why.
In complex distributed systems, a simple alert is often just a symptom, lacking the necessary context to take action. Security Observability solves this by shifting the focus from static detection to deep, real-time understanding of system behavior.
In this session, we will explore how to apply the core principles of observability (MELT, Events, Logs, and Traces) to security operations. We will demonstrate how the telemetry your applications are already generating can be used to reveal anomalous behaviors and sophisticated attack patterns that traditional tools miss.
Through practical examples using Falco and OpenTelemetry, we will cover:
The "Why" behind the "What": Correlating security events with application traces to understand the full story of an incident.
Visibility: Bridging the gap between Development, Operations, and Security teams using a shared language of data.
Real-Time Insight: Moving beyond noise to identify actual threats with precision.
It is not about having more alerts; it is about gaining the clarity to see what is actually happening in your environment.
Cost, Culture, and Cutover: Migrating Observability at Scale
When enterprise teams migrate off a log-heavy observability stack, the first instinct is almost always the same: keep everything as logs. It feels safe. But at scale, querying logs for everything gets expensive fast and for high-volume messaging infrastructure, that model does not always hold up.
This talk shares a real-world perspective from an observability migration for a Fortune 50 company, focusing not only on the technical implementation but also on the challenges that shaped it: the friction of moving teams away from a log-centric mindset, the practical limitations that influenced what was possible, and the open questions that remain around how teams change the way they reason about telemetry.
This session focuses on the practical decisions, tradeoffs, and lessons that surfaced during a live enterprise migration.
Takeaways:
-What was learned from applying a log-to-metric approach to high-volume enterprise infrastructure
-Real limitations and tradeoffs encountered during an AppDynamics and Splunk migration
-Honest reflections on the challenge of shifting a team’s log-centric mindset
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