Webinar

Intercom: Building a More Resilient Ecosystem Through Observability

 

Summary:

Learn how Intercom implemented Honeycomb’s distributed traces to learn about production.
Kesha Mykhailov, Product Engineer at Intercom joins Honeycomb Developer Advocate Jessica Kerr, and Account Executive Michael Wilde to discuss how Intercom uses distributed traces to streamline their observability workflows, allowing their product engineers to learn about and from their production to increase Intercom’s resilience. Topics include:

- Why Intercom made the shift to observability
- Leveraging distributed traces to get the most power of your telemetry
- Managing the internal cultural change and trace adoption

About Intercom: Intercom’s mission is to make internet business personal. Intercom believes strong customer relationships are more important than ever. But the scale and nature of online business, combined with rising customer expectations, makes it difficult to build—and keep—those connections. That's why we're here. Sales, marketing, and support teams at more than 25,000 businesses use Intercom's all-in-one customer communications platform every day to drive faster growth through better relationships.



Webinar

Applications and Infrastructure Together: Completing Your Observability Story

With Honeycomb Metrics, you have a simple way to bring applications and infrastructure issues into the same unified debugging interface. In this webinar, Liz and Max cover how Honeycomb offers a complete and singular solution that helps you quickly pinpoint faults in any part of your stack.

Podcast

Ep. #12, Speed of Deployment with Rich Archbold of Intercom

In episode 12 of O11ycast, Charity Majors and Liz Fong-Jones speak with Rich Archbold of Intercom. They discuss the crucial importance of timely shipping, high-cardinality metrics, and the engineering value of running less software.

Case Study

Intercom Speeds Up Their Busiest Endpoint by 50%

Intercom's engineering teams used Honeycomb to slice and dice how their code performed across many dimensions and were able to decide how best to refactor systems across their complex distributed architecture while reducing spend.

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