WIE Speaker Series: Enhancing Real-Time Data Reliability through Observability-Driven Streaming Architecture in Distributed Systems
Modern distributed systems rely on real-time streaming pipelines to support business-critical applications across telecommunications, e-commerce, finance, healthcare, and cloud platforms. However, maintaining reliable event delivery in these environments remains challenging due to message loss, duplicate events, latency spikes, consumer lag, schema inconsistencies, and node-level failures.
This talk presents an observability-driven streaming architecture that integrates logs, metrics, distributed tracing, telemetry correlation, alerting, and automated remediation into the streaming lifecycle. The session explains how observability can evolve beyond traditional monitoring into a reliability control layer that improves fault detection, root-cause analysis, workload balancing, and recovery speed.
The discussion will cover practical design patterns using event-driven platforms, distributed tracing, dashboards, and self-healing mechanisms to improve message consistency, reduce downtime, and strengthen real-time data reliability in large-scale distributed systems.
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- Co-sponsored by IEEE Future Networks AI/ML Working Group
- Starts 29 July 2026 04:00 AM UTC
- Ends 17 August 2026 11:00 PM UTC
- No Admission Charge
Speakers
Ravi of Comcast Corporation
Enhancing Real-Time Data Reliability through Observability-Driven Streaming Architecture in Distributed Systems
Modern distributed systems rely on real-time streaming pipelines to support business-critical applications across telecommunications, e-commerce, finance, healthcare, and cloud platforms. However, maintaining reliable event delivery in these environments remains challenging due to message loss, duplicate events, latency spikes, consumer lag, schema inconsistencies, and node-level failures.
This talk presents an observability-driven streaming architecture that integrates logs, metrics, distributed tracing, telemetry correlation, alerting, and automated remediation into the streaming lifecycle. The session explains how observability can evolve beyond traditional monitoring into a reliability control layer that improves fault detection, root-cause analysis, workload balancing, and recovery speed.
The discussion will cover practical design patterns using event-driven platforms, distributed tracing, dashboards, and self-healing mechanisms to improve message consistency, reduce downtime, and strengthen real-time data reliability in large-scale distributed systems.
Biography:
Ravi Kumar Guttula is a distributed systems and observability engineer at Comcast Corporation. Primary work focuses on large-scale streaming platforms, cloud-native observability, Elasticsearch-based logging infrastructure, event-driven architectures, and reliability engineering.I’m an IEEE Senior Member and a named inventor on multiple U.S. patents related to synchronization in distributed streaming systems. technical interests include real-time data processing, streaming reliability, observability-driven architecture, and scalable cloud infrastructure.
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