Kafka Health & Risks
Stop Firefighting. Start Predicting.
Your Kafka monitoring shows what's happening now. Conduktor Insights shows what's about to break.
Trusted by
You can't fix what you can't see
Most teams discover Kafka risks during an incident. By then the data loss or the outage has already happened.
Silent Data Loss Risks
RF=1 with active consumers means zero redundancy on data people depend on. One broker failure, and it's gone.
Under-Replication
Topics running below their replication factor right now. Lose one more broker and writes block or data is lost.
Partition Problems
Too few partitions and you can't scale. Skewed partitions overload some brokers while others sit idle.
Unknown VIPs
Which topics are business-critical? Without visibility, the topic feeding 47 services gets the same treatment as a test topic.
Topic intelligence for health and risk
Conduktor Insights analyzes every topic across your clusters to surface exactly where reliability, performance, and governance need attention.
Identify risks before they become incidents
Find topics that could cause data loss, performance degradation, or service disruptions. Insights correlates replication, volume, and consumer activity to surface risks that simple threshold alerts miss.
- Low replication factor detection: Find single-replica topics instantly
- Partition skew analysis: Identify uneven data distribution
- Single partition bottlenecks: Spot topics that can't scale
- Actionable remediation recommendations
Govern your most critical topics
Automatically identify your business-critical topics by consumer activity, throughput, and fanout, then check whether those exact topics are governed. The topics feeding the most services are the ones a schema gap or ad-hoc provisioning hurts most.
- Automatic VIP detection: surface topics with high consumer counts, heavy throughput, and wide fanout
- Schema coverage on critical topics: which VIP topics have a registered contract, and which leave consumers exposed
- Serialization consistency: Avro, JSON, and Protobuf usage across your highest-impact streams
- Self-service coverage: which critical topics were provisioned through governed channels versus created ad-hoc
Actionable health recommendations
Get a comprehensive health score for your entire cluster and detailed recommendations for each topic that needs attention.
- Cluster health score: Instant 0-100 assessment
- Per-topic configuration recommendations
- Retention policy optimization suggestions
- Prioritized action items based on impact
RBAC-aware by default
Insights respects Console permissions, so developers, SREs, and team leads see the health of the topics they own without a platform admin in the loop.
Filter to what you own
Scope every view by application or topic prefix pattern, so each team works from a view shaped by the topics they touch.
Export for review
Pull any view to CSV for offline analysis, audit evidence, or a regular governance cadence with stakeholders.
Impact
Measurable impact from teams using Conduktor Insights.
Find RF=1 topics, under-replication, and partition skew before a broker failure turns them into an outage.
Instant visibility without agents, code changes, or complex setup.
Every topic analyzed across risk, VIP, governance, and health.
RBAC-aware views put topic health in the hands of the people who own each topic.
Looking to attribute and cut Kafka spend? See Kafka Cost Allocation & Chargeback →
Get started with Kafka Health & Risks
Move from reactive to predictive Kafka management. Get a personalized walkthrough of Conduktor Insights.