Join us for our monthly webinar series where we share what's new in Timeplus Enterprise!
Telemetry data is high-volume, high-cardinality, and unforgiving. Logs, metrics, traces, events, and network telemetry arrive continuously, change schema often, and are needed in real-time by security and observability teams.
In this webinar hosted by our co-founders Gang Tao and Ken Chen, we'll show you how to build a real-time telemetry pipeline using Timeplus, covering the full data flow: collect, parse, enrich, transform, route, and store/stream.
We’ll focus on practical pipeline design for two downstream consumers: security and observability.
Security / SOC Pipelines
Real-time ingestion for SIEM and detection systems, including network and security telemetry such as NetFlow, DNS, authentication logs, and EDR data.
Observability Pipelines
Streaming application logs, metrics, and traces for root-cause analysis, SLO monitoring, performance analysis, and debugging.
If you’re building or maintaining telemetry infrastructure and want fewer moving parts, lower latency, lower cost, and more control over your data in motion, this webinar is for you.
Plus, discover what's coming in Timeplus Enterprise 3.1:
New push-based inputs: for Splunk S2S / HEC, Datadog, Elastic, OpenTelemetry, Syslog, and NetFlow/IPFIX
Enhancements to the Python table function
Bidirectional direct streaming JOINs for mutable streams
Register today to save your spot! If you can't make it, register anyways and we'll send you a recording of the session.
WHEN:
Thursday, January 29, 2026
10:00-10:30am PT
WHAT:
Building Real-Time Telemetry Pipelines for Security and Observability
Meet Our Hosts
Gang Tao
CTO, TIMEPLUS
Gang has 20+ years of experience in software development, and is a recognized expert of AI, BI, big data and data visualization. Prior to Timeplus, he was the Principal Engineer of Splunk's ML and Data platform. Gang is also a die-hard fan of AC Milan.
Ken Chen
CHIEF ARCHITECT, TIMEPLUS
Ken has 14+ years of enterprise software experience. He previously worked at AWS, Splunk, and EMC, and has deep experience in distributed systems, database and enterprise/cloud storage architecture design, and development.