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Honeycomb Overview

This topic describes the overall architecture of working with Honeycomb to give you a bigger picture as you get started. Click through the links in each step to see more documentation.

1. Services and logs emit events  🔗

Your running code and infrastructure can be instrumented to emit events, logs, and traces that contain the context you need to debug and troubleshoot. If your code is not already instrumented, Honeycomb Beelines can do that for you automatically.

2. Events flow into Honeycomb  🔗

Honeycomb offers a suite of methods for sending data from your environment to us. In addition to the Beelines and other integrations, you can write your own integration using our API/SDK. You’ll have your own private API key(s) to keep the data secure (and you can configure our Secure Tenancy feature to encrypt your data if desired).

3. Events land in a dataset  🔗

Datasets are where your data lives. Use datasets to partition your data however you like and simplify filtering for your queries.

4. You issue queries against datasets  🔗

Query your data to return results and visualize them.

5. Queries return data for visualization  🔗

Choose visualization options for exploring your data. In addition to standard line and stacked graphs, Honeycomb offers heatmaps, trace waterfall diagrams, and anomaly detection via BubbleUp.

6. Teams collaborate with Boards  🔗

Everyone on a given team can query that team’s datasets. Team members can create Boards and pin graphs to them. Boards can be private or shared.

Ready for more?  🔗

If you’re new to the topic of observability, we have you covered.

If you’re ready to get data in, let’s get started!

And don’t forget–the Honeycomb Community Slack is a great place to ask your questions and share your experience–if you misplaced your invite, ask us on Intercom or email Support and we’ll send you a new one.