Start with creating Amazon MSK cluster, using the command:Ĭreate json file for broker Node group configuration jq -nc -arg id1 "$id1" -arg id2 "$id2" -arg id3 "$id3" '” = “CREATE_COMPLETE” ]] then break export AWS_REGION=us-east-2Įxport id1=$(aws ec2 describe-subnets -query 'Subnets.SubnetId' -output text)Įxport id2=$(aws ec2 describe-subnets -query 'Subnets.SubnetId' -output text)Įxport id3=$(aws ec2 describe-subnets -query 'Subnets.SubnetId' -output text Use the following commands to create MSK cluster. This fully managed service ensures high availability, scalability, and security for your Kafka workloads. Provision an Amazon MSK cluster, which serves as the backbone of our Kafka-based system. An existing Amazon Managed Grafana Workspace.Set up a Prometheus host on an Amazon EC2 instanceīefore diving into the setup, ensure you have the following prerequisites in place:.Create an Amazon Managed Service for Prometheus workspace. By following the steps outlined below, you will be able to set up a comprehensive monitoring system for your Kafka-based applications: The solution we will build in this blog post combines the capabilities of Amazon MSK, Amazon Managed Service for Prometheus, and Amazon Managed Grafana to enable open monitoring for Amazon MSK clusters. Then, Grafana monitors the metrics from Prometheus. Apache ZooKeeper is an open-source server that enables highly reliable, distributed coordination.įigure 1: Solution with broker and zookeeper nodes that send the JMX and node metricsįigure 1 displays how metrics are scraped by a Prometheus server inside the EC2 instance and ingested to Amazon Managed Service for Prometheus through Amazon Virtual Private Cloud ( VPC) endpoint. Amazon MSK also creates the Apache ZooKeeper nodes for you. We will scrape the metrics exposed by Amazon MSK through Open Monitoring, ingest metrics to Amazon Managed Service for Prometheus Workspace and visualize using a custom dashboard on Amazon Managed Grafana to monitor the health and performance of the cluster. When creating an Amazon MSK cluster, you should specify how many broker nodes you want Amazon MSK to create in each Availability Zone. A broker instance is a worker node that helps to manage the Kafka cluster. The architecture diagram in Figure 1 below shows an Apache Kafka MSK cluster and an Amazon EC2 Instance running the Prometheus Server. In this blog post, we will walk you through the steps to leverage Amazon Managed Service for Prometheus and Amazon Managed Grafana with Amazon MSK open monitoring, providing comprehensive insights into the performance and health of your Kafka clusters. By exploring an integrated solution that combines Amazon Managed Streaming for Apache Kafka, Amazon Managed Service for Prometheus, and Amazon Managed Grafana, you will discover how to streamline monitoring process and gain actionable business insights. The blog offers solutions for gaining operational insights into the performance of Amazon MSK cluster, proactive issue detection, enhanced troubleshooting capabilities, and effective capacity planning and forecasting. This blog is intended for individuals or organizations utilizing Apache Kafka-based applications, specifically those facing the challenge of configuring robust monitoring on their Kafka clusters. In the case of Apache Kafka-based applications, configuring robust monitoring on kafka clusters becomes more crucial due to the real-time nature of data processing. Monitoring is a critical aspect of maintaining the health and performance of any distributed system.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |