Multi-Cloud Kafka Monitoring from One Dashboard
Your Kafka clusters span AWS MSK, Google Cloud, Azure, Confluent Cloud, and on-premises data centers. KLogic unifies them all in a single pane of glass so your team can monitor, alert, and troubleshoot without switching tools.
Multi-Cloud Kafka Monitoring Challenges
Why managing Kafka across multiple clouds creates dangerous blind spots
Fragmented Visibility
Teams managing AWS MSK, Confluent Cloud, and on-prem Kafka must switch between CloudWatch, Confluent Control Center, and custom dashboards — causing alert fatigue and missed cross-cluster dependencies.
Average: 3-5 separate monitoring tools per multi-cloud team
Cross-Cloud Replication Lag
MirrorMaker2 and Confluent Replicator pipelines bridging clouds are often the first to degrade under load — yet they are the hardest to monitor without purpose-built tooling that understands both clusters simultaneously.
Cross-cloud replication lag often goes undetected for 30+ minutes
Inconsistent Alerting
Each cloud provider has different native alerting capabilities. Teams either over-alert with redundant rules across each platform or under-alert because maintaining multi-tool configurations is too complex.
70% of multi-cloud teams have alert gaps across at least one environment
One Dashboard. Every Cloud.
KLogic connects to any Kafka cluster regardless of where it runs — managed or self-hosted
Unified Cluster Fleet Overview
All Clouds in One View
Connect AWS MSK, GCP Pub/Sub Kafka, Azure Event Hubs, Confluent Cloud, and on-prem clusters to a single KLogic workspace
Cross-Cluster Consumer Lag
Track consumer groups that span clusters across clouds — critical for data mesh and federated architectures
Normalized Metrics
All metrics normalized to a common format regardless of cloud provider so you can compare clusters like-for-like
Replicating 12 topics • Throughput: 420 MB/s • Latency: 1.2s
Alert: Replication falling behind — network throughput degraded
Replicating 6 topics • Within SLA threshold
Cross-Cloud Replication Monitoring
MirrorMaker2 Lag Tracking
Monitor MirrorMaker2 and Confluent Replicator pipelines between every cloud pair with dedicated lag and throughput metrics
Replication SLA Alerts
Define maximum acceptable replication lag per pipeline and receive alerts when cross-cloud data sync falls behind
Offset Mapping Visibility
Track source-to-target offset mapping to validate data completeness across clouds during planned failovers
Supported Kafka Environments
Connect any Kafka cluster — managed, cloud-native, or self-hosted
AWS MSK
Full MSK integration with IAM auth, CloudWatch augmentation, and cost insights.
GCP & Azure
Monitor Kafka on GCE, GKE, AKS, and Azure VMs alongside managed services.
Confluent Cloud
Deep Confluent Cloud integration with Schema Registry and ksqlDB pipeline visibility.
On-Premises
Self-hosted Kafka clusters in your own data centers monitored alongside cloud deployments.
Multi-Cloud Monitoring Results
Outcomes from teams that replaced fragmented tools with KLogic
Unify Your Kafka Monitoring Across Every Cloud
Stop juggling CloudWatch, Confluent Control Center, and custom dashboards. Connect all your Kafka clusters to KLogic and get complete multi-cloud visibility in under 15 minutes.
Free 14-day trial • Unlimited clusters • 15-minute setup