Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more

Online Talk

How to Optimize your SIEM Platforms with Confluent

Available On-demand

Conventional SIEM architecture is slow, costly, and inflexible. Confluent can help modernize your SIEM architecture for speed and flexibility in order to:

  • Capture and curate data at wire speed, and petabyte scale, across distributed environments that conventional ingest approaches can’t match
  • Detect, filter, and enrich data to deliver real-time situational awareness, reduce false positives, and respond to incidents and threats faster
  • Avoid vendor lock-in from expensive proprietary tools, and utilize a tiered data model to minimize software and infrastructure costs

In this webinar, we’ll illustrate these benefits by showing you how

  • Kafka Connect ingests authentic network traffic data captured from an exfiltration exercise
  • Confluent Sigma and ksqlDB process data
  • Kafka Connect Sinks the results to Elastic and Splunk SIEM services for further analysis (at much lower cost)

You’ll walk away with an understanding of how to modernize your SIEM architecture for higher throughput, lower latency, and more cost efficiency. You’ll also be able to run the demo and explore a series of hands-on labs for yourself and dig into the technical details. These labs will be made available to you in the browser with just a single click.

Presenter

Will LaForest

Field CTO

In his current position, Mr. LaForest works with customers across a broad spectrum of industries and government enabling them to realize the benefits of a data in motion and event driven architecture. He is passionate about innovation in data technology and has spent 26 years helping customers wrangle data at massive scale. His technical career spans diverse areas from software engineering, NoSQL, data science, cloud computing, machine learning, and building statistical visualization software but began with code slinging at DARPA as a teenager. Mr. LaForest holds degrees in mathematics and physics from the University of Virginia.

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Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices
microservices-and-apache-kafka