How do I monitor Kafka lag?

How do I monitor Kafka lag?

The simplest way to check the offsets and lag of a given consumer group is by using the CLI tools provided with Kafka. In the diagram above, you can see the details on a consumer group called my-group . The command output shows the details per partition within the topic.

How do I fix Kafka lag?

The best solution is storing offsets on brokers….I’d suggest the following series of actions:

1. Monitor how much lag is getting reduced in unit time (per minute, let’s assume) by each consumer.
2. If the rate of lag reduction is still too low, and you’d like to increase it, then add appropriate number of consumers.

What option is best for auto scaling your EC2 instances?

Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand. Dynamic scaling and predictive scaling can be used together to scale faster.

How do I monitor Kafka topics?

From our perspective, we have found the following topics to be most helpful in monitoring Kafka:

1. Messages in/out.
2. Network handler idle time.
3. Request handler idle time.
4. Under-Replicated partitions.
5. Leader Elections.
6. CPU idle time.
7. Host Network in/out.

What causes consumer lag?

It’s possible that some consumer groups exhibit more lag than others, because they may have more complex logic. It can also occur because of stuck consumers, slow message processing, incrementally more messages produced than consumed. Rebalance events can also be unpleasant contributors to consumer lag.

What causes consumer lag in Kafka?

Consumer lag indicates the lag between Kafka producers and consumers. If the rate of production of data far exceeds the rate at which it is getting consumed, consumer groups will exhibit lag. As the broker writes data – it keeps track of the last offset and records it as the log end offset.

What is the difference between Auto Scaling and load balancing?

Elastic Load Balancing automatically distributes your incoming application traffic across all the EC2 instances that you are running. Elastic Load Balancing helps to manage incoming requests by optimally routing traffic so that no one instance is overwhelmed.

What is JConsole used for?

The JConsole tool demonstrates the comprehensiveness and ease-of use of the JDK 5.0’s monitoring and management features. You can use JConsole to connect to a running Java virtual machine, and then monitor the memory usage and thread activity.

Is Kafka a monitoring tool?

Kafka in Cloudera Manager is clearly a less rich monitoring tool compared to Confluent, Lenses and Datadog. However, it is very convenient for companies that are already customers of Cloudera and need their monitoring mechanisms under the same platform.

What does Kafka lag mean?

Consumer lag
Consumer lag indicates the lag between Kafka producers and consumers. If the rate of production of data far exceeds the rate at which it is getting consumed, consumer groups will exhibit lag. It can be understood very succinctly as the gap between the difference between the latest offset and consumer offset.