Kafka Monitoring, Ready in Minutes
Consumer lag and broker health visible out of the box. Connect your cluster and you have real metrics within minutes — no custom exporters, no dashboard templates. Works alongside Prometheus and Grafana if you already have them.
"Is the cluster up?" is the easy question. The hard ones are: which consumer group is falling behind, which broker just lost a replica, which connector task silently stopped processing. Most Kafka monitoring setups answer the first question and leave you guessing on the rest.
Consumer Lag Monitoring
See consumer group lag across all partitions in real time. Identify which groups are behind, by how much, and since when. Set alerts on lag thresholds before backlogs become incidents.
Broker & Cluster Health
Monitor broker metrics: under-replicated partitions, offline partition count, under-min-ISR partitions, disk usage, and message throughput. Detect broker issues before they cascade.
Topic Throughput
Bytes in/out, message rate, and total message count per topic. Identify hot partitions and throughput bottlenecks. Compare metrics across time windows.
Connector Monitoring
Track connector and task status and failed task counts. Know when a connector task fails without grepping through logs. Alert on task failures before they cause data gaps.
Schema Registry Health
Monitor schema registry availability and schema registration rates. Detect schema compatibility errors before they cause producer failures.
Multi-Cluster Dashboard
Aggregate metrics across all Kafka clusters (on-prem and cloud) in one view. Platform teams see the full estate; developers see their clusters.
Consumer Lag Alerts
Set thresholds per consumer group or topic. Get notified via Slack, Teams, email, or webhook when lag exceeds your SLA. Teams manage their own thresholds.
Under-Replicated Partition Alerts
Immediate notification when partitions lose replicas. The first sign of broker trouble. Catch it before data is at risk or producers start failing.
Offline Partition Alerts
Alert when any partition loses its leader. Offline partitions block producers and consumers immediately. Catch broker failures before they cascade to applications.
Connector Failure Alerts
Alert when connector tasks fail. Each failed task stops data flowing through that connector. Set thresholds per connector and get notified before the gap becomes a problem.
Conduktor supports decentralized alert ownership. Each team manages alerts for their own topics and consumer groups without platform team intervention. Platform teams set baseline cluster-level alerts; product teams own application-level alerts.
What metrics does Conduktor expose?
Consumer group lag (per partition and per group), broker metrics (under-replicated partitions, offline partitions, under-min-ISR partitions, disk usage, message throughput), topic metrics (bytes in/out, message rate, message count), and connector task status and failure counts.
Does Conduktor replace Prometheus + Grafana?
Conduktor provides out-of-the-box Kafka monitoring without Prometheus setup. If you already have Prometheus/Grafana, Conduktor complements it. It adds the operational context (ownership, self-service, alerts) that raw metrics dashboards lack.
How do we get notified about consumer lag?
Set a lag threshold on any consumer group. When lag exceeds the threshold for a configured time window, Conduktor sends alerts to Slack, Teams, email, or webhook. Teams manage their own alert thresholds.
Can we monitor multiple Kafka clusters in one dashboard?
Yes. Conduktor Console connects to multiple clusters simultaneously. The unified dashboard shows cross-cluster consumer lag, broker health, and topic metrics across every environment.
How is this different from Confluent Control Center?
Confluent Control Center is designed for Confluent Platform and Confluent Cloud. Conduktor works with any Kafka cluster (MSK, self-managed, Redpanda, Aiven) and adds multi-team features (ownership, access controls, self-service) that Control Center doesn't provide.
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Set Up Kafka Monitoring in Minutes
Stop finding out about Kafka problems from angry Slack messages. Connect your cluster and see consumer lag, broker metrics, and alerts without writing a single Prometheus query.