// Beyond Monitoring: The Rise of Observability Platform

Monitoring tells you that something is broken. Observability tells you why. In this episode Chris sits down with Samir Pradka, Enterprise Architect and Distinguished Expert in Modern Applications at Artos, to trace the evolution from primitive task-manager debugging through APM dashboards to today’s full-stack observability platforms.

Key topics covered in this episode:

• Monitoring vs. observability — why APM tooling falls short for distributed, cloud-native systems at enterprise scale
• The three pillars — ingesting and correlating logs, metrics, and traces into a unified observability data lake
• AIOps integration — adding machine learning to detect anomalies, predict failures, and generate actionable insights before users are impacted
• Self-healing infrastructure — using Infrastructure as Code tools such as Ansible and Azure Resource Manager (ARM) to drive automated remediation when thresholds are breached
• Hybrid and multi-cloud coverage — extending a single observability pane of glass across on-premises workloads, single-cloud, and multi-cloud deployments
• Incremental adoption — starting with a proof of concept, building a sprint backlog, and maturing the platform over time rather than trying to instrument everything at once

Whether you are running a handful of microservices or a global platform comparable to the scale of Walmart or Amazon, this episode gives you a practical framework for moving beyond reactive monitoring towards a proactive, intelligent observability strategy.