Kafka Logs Monitoring & Observability
Effortlessly track Kafka logs, gaining instant insights into errors and refining logging for a more efficient and reliable application.
Monitor Kafka logs to troubleshoot brokers, topics, and message delivery issues
Broker startup and shutdown logs
Analyze Kafka broker logs to detect configuration errors, JVM startup failures, listener binding issues, and unclean shutdown events.
Track partition and leader events
Monitor Kafka log entries related to leader elections, partition reassignments, ISR shrinkage, and replica state changes.
Detect producer and consumer errors
Capture Kafka logs reporting producer send failures, consumer group rebalances, offset commit errors, and deserialization issues.
Monitor replication health
Inspect Kafka replication logs to identify under-replicated partitions, fetcher lag, and broker communication failures.
Track log retention and cleanup
Analyze Kafka log cleaner and retention-related messages to verify segment deletion, compaction behavior, and disk usage patterns.
Identify controller warnings
Detect controller log warnings related to Zookeeper or KRaft metadata inconsistencies affecting cluster stability.
Observe disk and I O issues
Capture Kafka logs reporting disk failures, log directory errors, and write latency affecting message persistence.
Correlate streaming and application logs
Link Kafka log events with application logs to trace message delivery failures back to producing or consuming services.
Unify Kafka Log Streams for Real-Time Operational Insight
Send Kafka broker, producer, and consumer logs into Atatus so you can parse key fields, refine log data, and explore events across your streaming environment without scattered files.
Logs Spread Across Brokers and Clients
Kafka logs originate from brokers, producers, and consumers across the cluster, and central collection brings them together for unified exploration.
Unstructured Messages Mask Important Events
Raw Kafka log messages mix information and context, and structured parsing converts them into searchable fields you can query efficiently.
Key Signals Hidden in High Volume
Continuous Kafka log output can bury meaningful events, and custom pipelines help surface only the data that matters most.
Context Lost Without Saved Views
Manually rebuilding filters slows investigation, and saved views let you recall focused log contexts instantly.
Filtering at Scale Is Resource-Intensive
Sifting through Kafka logs without refined filters is slow, and applying focused filters across ingested streams helps narrow results quickly.
Why teams choose Atatus for Kafka logs monitoring
Kafka-native log understanding
Atatus understands Kafka broker, controller, and replication log formats and extracts meaningful operational signals automatically.
Cluster-wide visibility
Centralize logs from all Kafka brokers to gain a unified view of topic behavior, partition health, and broker stability.
Faster streaming issue detection
Quickly identify leader election issues, ISR shrinkage, and consumer group instability using structured log analysis.
Log-based alerting
Trigger alerts on critical Kafka log patterns such as broker failures, under-replicated partitions, and disk errors.
Cross-service correlation
Correlate Kafka logs with producer and consumer application logs to trace message delivery failures end to end.
Scalable log ingestion
Handle high-volume Kafka logs reliably during peak traffic, rebalances, and partition reassignment events.
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Trace requests, debug errors, and identify performance issues at the code level with clear context.
DevOps
Track deployments, monitor infrastructure impact, and understand how releases affect application stability.
Release Engineer
Measure service health, latency, and error rates to maintain reliability and reduce production risk.
Unified Logs Monitoring & Observability Across Different Platforms
Frequently Asked Questions
Find answers to common questions about our platform