Redis Protocol Support

What if you could see inside your Redis traffic?

Qtap now captures Redis protocol traffic with full command visibility, enabling security and observability for Redis-based applications. No instrumentation. See every command, argument, response, and timing - with process attribution so you know exactly which service is accessing your cache.

circle-check

The Problem We Solved

Redis is everywhere - caching, sessions, queues, real-time data. But visibility into Redis traffic has been a blind spot:

  • What data is being stored? Could be PII, credentials, or sensitive business data

  • Which service is accessing the cache? Multiple containers hitting the same Redis instance

  • Why is Redis slow? Need per-command latency to identify hot keys or expensive operations

  • Security auditing? No visibility into what's actually being read/written

Qtap now gives you the same deep visibility for Redis that you've had for HTTP/S.


What It Captures

Commands & Arguments

Every Redis command with full arguments:

See exactly what keys are being accessed and what values are being stored.

Responses

Full response data including type and value:

Supported response types:

Type
Description
Example

simple_string

Status responses

OK, PONG

bulk_string

String values

Retrieved data

integer

Numeric responses

Increment results, list lengths

array

Multi-bulk replies

HGETALL, LRANGE results

error

Error messages

Full error text

Latency

Per-command timing with microsecond precision:

Track command performance, identify slow operations, and catch latency spikes.

Process Attribution

Every Redis operation is linked to the source:

  • Executable path (/usr/local/bin/python3.11)

  • Container name and image

  • Process ID

Know exactly which service made each Redis call.


Configuration

Add a redis section to your tap configuration alongside your HTTP capture:

Redis traffic flows through the same stack and storage configuration as HTTP.


Example Output

Human-readable format:

JSON format:


Use Cases

Sensitive Data Detection

Problem: Is PII being stored in Redis? Credentials? API keys?

Solution: Capture Redis traffic and scan for sensitive patterns. Discover that your session store contains unencrypted SSNs, or that API keys are being cached without expiration.

Performance Monitoring

Problem: Redis is slow but you don't know which commands or keys are the problem.

Solution: Per-command latency reveals hot keys, expensive KEYS * operations, or commands that should be pipelined.

Security Auditing

Problem: Compliance requires knowing what data flows to your cache layer.

Solution: Full visibility into every read and write operation, with process attribution showing which services access which keys.

Debugging

Problem: Application behavior is inconsistent - might be a caching issue.

Solution: Correlate Redis operations with application requests. See exactly what's being cached, when, and by whom.


What's Next

Redis support uses the same stack and plugin architecture as HTTP. Future releases will add:

  • Redis-specific capture rules (filter by command, key pattern)

  • PII detection in Redis values via qscan

  • Redis traffic in DevTools UI


Feedback

We'd love to hear how you're using Redis protocol support! Share your use cases, feature requests, or bug reports:

Last updated