KLogic
⚙️ Configuration Tracking

Kafka Configuration Audit & Tracking

Know exactly what changed in your Kafka cluster, when it changed, and what it changed from. KLogic captures every broker, topic, and consumer group configuration change with full history, side-by-side diffs, and time-range filtering to accelerate root cause analysis.

Configuration Changes Are the Silent Cause of Most Kafka Incidents

Without a configuration audit trail, post-mortems become guesswork

No Record of What Changed

Kafka doesn't natively maintain a configuration change log. When an incident occurs, engineers spend hours in post-mortems asking "did anyone change anything?" with no definitive answer.

Impossible to Diff Configurations Over Time

Comparing a topic's current configuration against what it was three days ago requires either a version-controlled snapshot system most teams never set up, or pure guesswork.

Slow Incident Correlation

When a performance regression or data loss event occurs, correlating it to a configuration change made hours earlier requires manually cross-referencing runbooks, Slack history, and deployment logs.

A Complete Configuration Audit Trail for Your Kafka Cluster

Every configuration change captured, diffed, and searchable—so your team can answer the hard questions fast

Full Configuration History Across Brokers, Topics, and Consumer Groups

Broker Configuration Tracking

Every change to broker-level settings—log retention, replication factors, JVM heap, network threads—is recorded with the before and after values and exact timestamp

Topic Configuration Audit

Track retention.ms, retention.bytes, cleanup.policy, min.insync.replicas, compression.type, and all other topic-level settings over their full history

Consumer Group Configuration

Monitor consumer group settings including partition assignment strategy, session timeout, heartbeat interval, and auto-offset-reset changes

Recent Configuration Changes
orders-topic(Topic)
2h ago
retention.ms: 60480000086400000
broker-2(Broker)
5h ago
log.segment.bytes: 1073741824536870912
payment-consumers(Consumer)
1d ago
session.timeout.ms: 1000030000
Change Correlation
Incident window: 2025-03-27 14:00 — 16:00 UTC
13:47orders-topic retention.ms: 7d → 1d
14:02Consumer lag spike detected
14:15offset-out-of-range errors begin
15:30orders-topic retention.ms: 1d → 7d
15:45Consumer lag normalizing

Time-Range Filtering and Incident Correlation

Old vs. New Value Comparison

Every change record shows the exact previous value alongside the new value so you immediately understand the magnitude and direction of the change

Precise Time-Range Filtering

Filter the configuration audit log to any custom time window—down to the minute—to isolate exactly what changed during an incident window

Correlate Changes with Incidents

Overlay configuration changes on your cluster health timeline to instantly see if a config modification preceded a spike in consumer lag, errors, or broker instability

Frequently Asked Questions

KLogic tracks configuration changes for brokers, topics, and consumer groups. Every time a configuration value is modified—whether through the Kafka API, command-line tools, or an automated process—KLogic captures the old value, the new value, and the timestamp.

KLogic stores configuration change history for as long as your retention policy allows. You can filter the audit log by custom time ranges—down to the minute—to investigate a specific change window without scrolling through unrelated history.

Yes. KLogic's diff view lets you select any two points in a configuration's history and see a side-by-side comparison of old versus new values. This is particularly useful for correlating a configuration change with a performance regression or incident.

When you're investigating an incident, you can overlay the configuration change timeline with your cluster health metrics. If a topic's retention.ms was shortened around the time consumers started hitting offset-out-of-range errors, that correlation becomes immediately visible.

KLogic captures the client identity reported by the Kafka broker at the time of the change. In clusters with ACL-based authentication, this maps directly to a user or service account, giving you a clear audit trail of who changed what and when.

Yes. KLogic can alert you whenever a broker, topic, or consumer group configuration is modified. Alerts are routed through the same notification channels—Slack, PagerDuty, Teams, Email, and webhooks—so your team is notified in real time.

Turn Your Next Post-Mortem from Hours to Minutes

KLogic's configuration audit trail gives you the complete change history you need to answer "what changed before this incident?" instantly—no archaeology required.

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