What is Honeycomb?
Who uses Honeycomb?
Why developers like Honeycomb?
Here are some stack decisions, common use cases and reviews by companies and developers who chose Honeycomb in their tech stack.
Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.
We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.
- High-performance querying against high-cardinality or sparse events.
- Accepts any structured JSON objects with a write key.
- Submit events via API.
- Open source agents, log tailers, SDKs, and integrations.
- Customizable high-performance query windows.
- Customizable storage windows provide control over retention and costs.
- Always have access to the the raw data behind query results and graphs.
- Shared boards.
- Individual and team query histories.
- Triggers and notifications.
- Secure Tenancy for data compliance.