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This workshop covers both the theory and practice of observability. You’ll familiarize yourself with both Honeycomb and OpenTelemetry with hands-on exercise, and also learn how to introduce observability into your organization.

You will learn:

• The differences between monitoring, telemetry signals, and observability
• Sending trace data to Honeycomb from a sample application via OpenTelemetry
• Practicing the core analysis loop to identify performance issues using Honeycomb with the Home, Query Builder, Distributed Trace, and Raw Rows data views
• Adding application-specific metadata to further enrich your traces
• Sharing query results with your team

This session offers a quick introduction to instrumenting your applications with the vendor-neutral OpenTelemetry framework.

See how Honeycomb integrates distributed tracing into your debugging workflows, with no context switching required.

Learn how using BubbleUp in your debugging workflow helps you analyze billions of rows of data across thousands of high-cardinality fields to quickly spot outliers that may be the source of hidden issues.

Honeycomb’s service-level objectives (SLOs) offer more actionable alerts with less noise. They’re also integrated right into your debugging workflows.

Observability is great for applications, but metrics can be useful for debugging system issues. See how those two debugging workflows integrate in Honeycomb.

Your build pipelines can also have observability. Learn how to debug your CI/CD workflows with Honeycomb.

Honeycomb constantly ships new features to production, so it’s hard to keep up sometimes. In this session, we’ll look at recent highlights and the best new things you’ll want to know about and use.

Now that your SLOs are running, how does the team know when critical systems are in trouble? Join Developer Advocates Mandi Walls at PagerDuty and Liz Fong-Jones at Honeycomb for a demo on how PagerDuty can notify on-call responders based on alerts sent from Honeycomb.

We often think about speed and danger as being closely related, but we now have empirical proof that faster, smaller releases tend to cause fewer outages and less downtime for our software systems. Being able to deploy broken code into production without negatively affecting anyone is a powerful way to increase deployment velocity. In this talk learn how you can control features in production with feature flags and observability.

In this talk, you’ll learn how Honeycomb keeps its CircleCI workflow duration at about 10 minutes per build through parallelizing build steps, using native container builders per architecture, and tracing execution of the build to know where to optimize.

Learn how to use Honeycomb, Apollo Studio, and Open Telemetry to optimize GraphQL performance for a federated graph. See how to debug a federated GraphQL query across subgraphs and down to the database layer using Honeycomb.

One of the major challenges with adopting a serverless architecture is that every debugging session can quickly turn into a distributed murder mystery. But Erwin is here to show you how Honeycomb and the Cloudflare Workers integration will give you Colombo-like superpowers. Allowing you to very quickly pinpoint exactly who did it where and with what.