Honeycomb Eap
You set up a honeycomb eap workflow by enabling preview features and assigning user roles. This gives your team early access to new trace tools while keeping workspace rules clear. Most engineering teams start by turning on preview settings for a whole workspace. They often give every developer broad admin or write roles so people can test fast. When roles stay too wide, anyone can read sensitive trace fields or change team alerts. Worse, developers who find a bug in a trace often need direct da
Eap: the complete guide
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You set up a honeycomb eap workflow by enabling preview features and assigning user roles. This gives your team early access to new trace tools while keeping workspace rules clear. Most engineering teams start by turning on preview settings for a whole workspace. They often give every developer broad admin or write roles so people can test fast. When roles stay too wide, anyone can read sensitive trace fields or change team alerts. Worse, developers who find a bug in a trace often need direct database access next.
How to set up a honeycomb eap workflow
To start with a honeycomb eap setup, an admin first requests or enables the preview feature. The platform separates user accounts from the ingest keys that your apps use. Apps send trace events using write keys that only allow data ingest into specific datasets. Engineers log in through single sign-on and get a team role for the workspace. You should create a test space first before turning on early access features for production. This keeps test queries and unfinished features away from your main production charts. Admins map identity groups to workspace roles so new team members get read access first. Only a few leads need the power to edit datasets, delete keys, or change billing. When an app sends an event, the platform stores each trace field for fast search. Engineers then run queries in the browser to group, filter, and read those trace fields.
What native roles solve and where gaps remain
Native workspace roles do a good job of deciding who can log into the dashboard. They also control who can create API keys or change dataset schemas. Still, workspace roles only check who logs in at the start of a session. They do not inspect what data flows inside individual trace fields or follow-up database queries. If an app logs emails, phone numbers, or card numbers, anyone with read roles sees them. The bigger gap happens right after an engineer spots a broken trace in the dashboard. To fix the bug, that engineer usually logs straight into a production database or server. Native trace roles cannot govern what SQL statements or shell commands run during that fix. Once a developer opens a database session, broad role permissions let them run any query. Teams need a way to inspect every live command and mask sensitive fields in results.
Steps to keep trace data and production queries safe
Start by auditing what fields your apps send before you enable any new preview tool. Make sure your code strips out secrets, passwords, and national IDs before sending trace events. Next, split your workspaces so test data never mixes with live customer traffic. Give most engineers read-only roles in production workspaces so they can search traces without changing rules. Review your API keys each month and delete any old keys that teams no longer use. Finally, look at how your engineers move from reading a trace to fixing a database. Do not hand out shared database passwords or wide admin roles for production fixes. Instead, require statement-level checks and field masking whenever someone runs a live production query. Masking rewrites matched fields like emails and card numbers in query results during fixing.
Eap: architecture patterns and best practices
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Frequently asked questions
What does a honeycomb eap setup change for existing datasets?
Enabling an early access feature usually adds new query views or ingest options to your workspace. You should turn it on in a test space first to check how your datasets react.
How should teams limit sensitive data in trace events?
Configure your apps to drop or scrub fields like emails, phone numbers, and card numbers before sending events. Workspace roles only control who logs in, not which fields appear in a trace.
Why do trace investigations create database security risks?
Engineers who find an error in a trace often connect to production databases to fix the state. Without statement-level controls, those database sessions allow broad queries and expose raw customer rows.