Amazon MSK Deep Monitoring
Go beyond what CloudWatch shows you. KLogic pulls the complete MSK metric namespace, adds consumer group lag visibility, and presents your MSK clusters in a unified dashboard alongside any self-managed Kafka infrastructure — with the same alerting, forecasting, and anomaly detection for every cluster type.
CloudWatch Alone Leaves Critical MSK Gaps
AWS gives you raw numbers but not the Kafka operational intelligence you need to act on them
MSK and Self-Managed in Separate Tools
MSK metrics live in CloudWatch, self-managed Kafka metrics live in another stack — no unified view means constant context switching during incidents that span both environments.
No Consumer Group Lag in CloudWatch
CloudWatch doesn't expose consumer group lag natively. Teams build custom Lambda functions or run separate tooling just to answer "is my consumer keeping up?" for MSK topics.
No Forecasting or Anomaly Detection
CloudWatch gives you alarms and dashboards, but no capacity forecasting, no anomaly scoring, and no trend analysis — leaving teams reacting to problems instead of anticipating them.
Complete MSK Observability in One Platform
From agentless CloudWatch ingestion to MSK-specific dashboards, unified alerting, and consumer lag visibility
Agentless CloudWatch Metric Integration
IAM Role-Based Collection
No agents, no VPC endpoints, no custom Lambda functions required. KLogic assumes a read-only IAM role and pulls the complete AWS/Kafka CloudWatch namespace
Full Metric Namespace Coverage
ActiveControllerCount, OfflinePartitionsCount, UnderReplicatedPartitions, BytesInPerSec, BytesOutPerSec, MessagesInPerSec, and all broker-level JVM metrics ingested automatically
MSK Provisioned and Serverless
Supports both MSK cluster types. Dashboards adapt automatically to the metric set available for each cluster type — no manual configuration per cluster
ActiveControllerCount
1
OfflinePartitions
0
UnderReplicated
0
BytesInPerSec
284 MB/s
BytesOutPerSec
612 MB/s
MessagesInPerSec
128k
prod-msk-us-east-1
Amazon MSK Provisioned · 3 brokers
staging-msk-eu-west-1
MSK Serverless
on-prem-kafka-dc1
Self-managed · 12 brokers
Unified Monitoring Across MSK and Self-Managed Kafka
Single Dashboard for All Clusters
MSK and self-managed Kafka clusters appear in the same cluster selector with identical navigation and UX — no tool switching
Multi-Region MSK Support
Monitor MSK clusters across any number of AWS regions from a single KLogic workspace using separate IAM role configurations per region
Consumer Lag Beyond CloudWatch
KLogic supplements CloudWatch with direct consumer group lag reads from MSK brokers, providing per-partition lag visibility that CloudWatch does not offer natively
Unified Alerting Across All Cluster Types
Single Alert Rule for MSK + Self-Managed
One rule can match brokers across both MSK and self-managed clusters — no duplication of alerting logic per deployment type
Pre-Built MSK Alert Rules
KLogic ships default alert rules for UnderReplicatedPartitions, OfflinePartitions, high BytesInPerSec, and consumer lag that activate automatically for MSK clusters
Multi-Channel Notifications
Route MSK alerts to Slack, PagerDuty, Microsoft Teams, Email, or webhooks — same notification channels as all other KLogic alerts
Add MSK Cluster
Paste your cluster ARN and bootstrap broker endpoints into the KLogic cluster form
Configure IAM Role
Attach the provided IAM policy to a role — KLogic assumes it to read CloudWatch metrics and consumer group data
Start Monitoring
Metrics begin flowing within 2 minutes. Dashboards, alerts, and forecasts are ready immediately
Frequently Asked Questions
KLogic pulls MSK metrics via the AWS CloudWatch API using an IAM role you configure with read-only permissions. No agents need to be deployed inside your VPC. You provide the cluster ARN and IAM credentials, and KLogic begins ingesting CloudWatch metrics within minutes.
KLogic collects the full set of MSK CloudWatch metrics including ActiveControllerCount, OfflinePartitionsCount, BytesInPerSec, BytesOutPerSec, MessagesInPerSec, FetchMessageConversionsPerSec, ProduceMessageConversionsPerSec, ReplicationBytesInPerSec, UnderReplicatedPartitions, and all broker-level JVM and OS metrics.
Yes. KLogic provides a unified cluster selector that treats MSK clusters and self-managed Kafka clusters identically in the UI. You can compare throughput, lag, and health metrics across clusters regardless of deployment type in the same dashboard views.
Yes. KLogic supports both MSK Provisioned and MSK Serverless. For Serverless clusters, the available metric set differs from provisioned (broker-level metrics are not available), and KLogic automatically adapts the dashboard to show only the metrics reported by CloudWatch for your cluster type.
Yes. All MSK metrics ingested by KLogic are available in alert rules and watchdog rules exactly like metrics from self-managed clusters. You can alert on UnderReplicatedPartitions, consumer lag, BytesInPerSec growth rate, and any other MSK CloudWatch metric.
MSK metrics are published to CloudWatch at 1-minute granularity for most metrics. Self-managed Kafka metrics collected by KLogic's worker are available at 15-second granularity. KLogic normalizes both into the same time-series store so dashboards and alerts work identically regardless of data source.
Get Full Visibility Into Your Amazon MSK Clusters
Stop switching between CloudWatch and custom tooling. KLogic brings Amazon MSK monitoring into the same unified platform as the rest of your Kafka infrastructure—with consumer lag, alerting, and forecasting that CloudWatch cannot provide on its own.
Free 14-day trial • No credit card required • Setup in 5 minutes