You can use the open-source PromQL query language to query your metrics and alert on them. On the Properties tab, scroll down to find the Monitoring section. To set up a new Amazon MSK cluster, follow the steps in the Amazon MSK getting started guide. You can use this operation to specify which Apache Kafka metrics you want Amazon MSK to send to Amazon CloudWatch. How it works. You signed in with another tab or window. For more information on getting started or accessing JMX metrics using Open Monitoring with Prometheus, see the Amazon MSK developer guide. to Enable open monitoring with Prometheus. instance, and go to Specifies whether broker logs get sent to the specified Amazon S3 destination. To use the Amazon Web Services Documentation, Javascript must be enabled. IP address you got in the previous step. Monitoring an Amazon MSK cluster - AWS Documentation The options for monitoring an Amazon MSK cluster. Simply install a CloudWatch exporter in one of your machines and run it: Input the proper configuration along with AWS credentials; these values can go in the environment variable: Now, configure your Prometheus server to start scraping metrics from the CloudWatch exporter metric endpoints: Further documentation on this from Logz.io is available, plus, you can read about AWS Lambda integration with Prometheus. In this section, we configure these two files. In the Monitoring section, select the check box next to Enable open monitoring with Prometheus. Amazon MSK uses port 11001 for the JMX Exporter and port 11002 for the Node Exporter. Log in to the Amazon Managed Grafana URL. Prometheus is a great tool to utilize as you begin your monitoring journey, but as your usage and scale inevitably grow, related complexity can become a significant hurdle.For many teams, an easier alternative approach is to employ Prometheus but also ship the metrics to a managed SaaS platform such as Logz.io. The solution provides an easy-to-configure dashboard in Amazon Managed Grafana for various critical operation metrics, as demonstrated in the following video. You can monitor your MSK cluster with Prometheus, an open-source monitoring system for time-series metric data. As part of these steps, your cluster will have the following properties: Complete the following steps to deploy the CloudFormation stack MSKResource_Cloudformation.yml: Follow the steps as outlined in the previous section to configure your AWS Cloud9 environment. Types. * Cruise To start, simply create a Logz.io account, and select the correct region and listener configuration.Next, get your metrics account token from Settings > Manage tokens > Data shipping tokens > Metrics. specify open-monitoring, the two exporters can't be disabled at Make the following updates to the names with the DNS names you obtained for your brokers in the previous step. Please join us exclusively at the Explorers Hub (discuss.newrelic.com) for questions and support related to this blog post. Start monitoring your Prometheus data today. the Apache Kafka documentation. Open monitoring is available for free but charges apply for the Along with Apache Kafka metrics, consumer-lag However, that large volume brings complexity with monitoring. Prometheus documentation. Run the following command to initialize the local repo. Details of the Kinesis Data Firehose delivery stream that is the destination for broker logs. This property has three possible values: DEFAULT, PER_BROKER, and PER_TOPIC_PER_BROKER. Monitor the disk usage to ensure your nodes are healthy. Automatically scale as your ingestion and query needs grow, and maintain consistent response times for large container deployments. If you used an existing cluster, make sure to remove the inbound rules you updated in the security group (otherwise the stack deletion will fail). config/cruisecontrol.properties file. specify open-monitoring, the two exporters can't be disabled at If you want to create a new Amazon MSK cluster for this solution, skip to the section 2.b.Create a new Amazon MSK cluster, otherwise complete the steps in this section to modify an existing cluster. The options for monitoring an Amazon MSK cluster. A node exporter will collect all ofl your system information and then open a small server to expose these metrics. Using LinkedIn's Cruise Control for Apache Kafka with Amazon MSK And since the New Relic Prometheus OpenMetrics integration collects metrics from any endpoint compatible with Prometheus, you can send MSK metrics to the New Relic One platform. For information on how to configure Prometheus to aggregate metrics for your cluster, see Open monitoring with Prometheus. For more information about Apache Kafka metrics, including the ones that Amazon MSK surfaces, see Monitoring in the Apache Kafka documentation. 2023, Amazon Web Services, Inc. or its affiliates. Then add the remote write URL in the Prometheus configuration: Now, simply restart Prometheus and your metrics will begin streaming to Logz.io so you can begin building dashboards or explore metrics using the metrics explorer found here. You can monitor your MSK cluster with Prometheus, an open-source monitoring AWS::MSK::Cluster Prometheus - AWS CloudFormation This can be a critical metric to keep an eye on since if there is no disk left, all your software could stop working. Update the Prometheus scrape config to identify the new metrics sources. Select the user you created earlier and choose. Run the following command to create a topic called TLSTestTopic60: Still logged in to the Kafka client, run the following command to start the producer service: Open a new terminal from within your AWS Cloud9 environment and log in to the Kafka client instance, Now you can start the consumer service and see the incoming messages. Provision Prometheus EC2 Instance; Configure VPC SG Inbound Rules to Enable Prometheus EC2 Access; Configuring Prometheus Host; Configure Grafana on Prometheus Host You can configure your MSK cluster to send broker logs to different destination types. You can use the following preconfigured dashboards, which are available to download from the GitHub repo: To import your dashboard, complete the following steps: The following screenshot shows your loaded dashboard. In addition to Amazon CloudWatch, you now have the option to monitor your Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters using Prometheus, an open source monitoring system for time-series metrics. Thanks for letting us know we're doing a good job! This number tells you the number of times someone requests this resource. 2015-2023 Logshero Ltd. All rights reserved. Amazon EC2 Instance Replace broker_dns_1, broker_dns_2, and the rest of the broker DNS names with the DNS names you obtained for your brokers in the previous step. Use any IDE (Visual Studio Code or Notepad++) to open prometheus.yml. Use Prometheus query language (PromQL) to filter, aggregate, ingest, and query millions of unique time series metrics from your self-managed Kubernetes clusters. You use this URL to log in to view your Grafana dashboards. By default, Amazon MSK clusters come with CloudWatch monitoring of your essential metrics. targets.json. Using Logz.io, you can configure your existing Prometheus server to forward the metrics and thus offload the management complexity to the Logz.io Open 360 observability platform. Supported browsers are Chrome, Firefox, Edge, and Safari. The default port number is 9090. For more information, see Getting started with Amazon Managed Service for Prometheus. Monitoring an Amazon MSK cluster PDF RSS Amazon Managed Streaming for Apache Kafka gathers Apache Kafka metrics and sends them to Amazon CloudWatch where you can view them. Memory is the RAM used during any processing, with 100% memory utilization possibly triggering the OOM killer, terminating your process. These will help let you know if any scaling is required to run your application properly. Replace The version of the MSK cluster to update. Use New Relic Alerts to create an alert condition to ensure your Amazon MSK nodes dont violate critical storage thresholds. Specifies whether broker logs get send to the specified Kinesis Data Firehose delivery stream. To scale your system without reducing the cardinality of your metrics, you can however implement tools like Thanos and Trickster to centralize your Prometheus metrics for storage analysis. cluster. The Thanos, Cortex, and M3DB databases can be used to extend the functionality of Prometheus features including high availability, horizontal scaling, and historical back up. The following are the high-level steps to deploy the solution: To create your EC2 key pair, complete the following steps: The private key file is automatically downloaded by your browser. For more information about monitoring, see Monitoring. *, use the latest 2.4. It might take several minutes to Cluster versions aren't simple numbers. We're sorry we let you down. As an alternative, Logz.io can solve this problem for you, and very easily at that. the console. Extract the downloaded file to a directory and go to that directory. Australia Post uses New Relic to correlate and identify logistic changes. kafka.consumer.group:type=ConsumerLagMetrics. You should keep an eye on Elastic Load Balancer Status codes as well. Log in with your IAM Identity Center credentials. If you've got a moment, please tell us how we can make the documentation better. Create a file with the following contents and name it You have to make sure that your network I/O doesnt reach the limit of networking defined by AWS, which is 10 Gbps in most cases. Monitor containers on AWS, on premises, and on other clouds. To start Prometheus with your newly created configuration file, change to the directory containing the Prometheus binary and run: # Start Prometheus. Open Monitoring, like Datadog, Lenses, New Relic, and Sumo logic. The following examples show how to use these metrics. Thanks for letting us know this page needs work. Choose the name of the cluster that you want to update. For information about Prometheus, see Overview in the Along with Apache Kafka metrics, consumer-lag metrics are also available at port 11001 under the JMX MBean name kafka.consumer.group:type=ConsumerLagMetrics. Details of the Amazon S3 destination for broker logs. Amazon Managed Service for Prometheus is a Prometheus-compatible monitoring and alerting service that you can You can not only troubleshoot problems that have already occurred, but also discover anomalous behavior patterns and prevent problems from occurring in the first place. You can describe an MSK cluster to find its version. Meet New Relic Grok, the first GenAI assistant for observability. Pushgateway enables push-based metrics in your Prometheus setup. He is passionate about automation around Cloud operation , Infrastructure provisioning and Cloud Optimization. Replace the example You can publish this data to Amazon Managed Service for Prometheus using Prometheus's remote write feature. Javascript is disabled or is unavailable in your browser. Configure Prometheus and start the service. Javascript is disabled or is unavailable in your browser. To enable open monitoring, make sure that the cluster is in the Now we configure CloudWatch as a data source. If you dont use IAM Identity Center, alternatively, you can set up user authentication via SAML. There was an unexpected internal server error. Access forbidden. Apache Kafka is a popular distributed streaming platform that thousands of companies like New Relic, Uber, and Square use to build scalable, high-throughput, and reliable real-time streaming systems. Invoke the create-cluster command and specify its Amazon MSK uses Completely free for 14 days, no strings attached. open-monitoring option. JSON. This metric gives the number of requests that resulted in failed states either due to a permission error or not found error. Provide the required information in all the sections of the page, and review all the available options. In the AWS Cloud9 environment, run the following command using the key file you created earlier: copy targets.json to the Prometheus server: copy prometheus.yml to the Prometheus server: SSH into the Prometheus server and start the container service for Prometheus. fix anomalies, and monitor the state and health of the cluster. Thanks for letting us know we're doing a good job! To illustrate this process lets quickly walk through how this is done. While Prometheus scraping can be used to collect metrics from all kinds of infrastructure, its hugely popular based on its comparative ease-of-use for Kubernetes-based environments. To generate sample data in Amazon MSK, complete the following steps: You can now view your Kafka metrics dashboards on Amazon Managed Grafana: Amazon MSK cluster overview Configured using Amazon Managed Service for Prometheus as the data source: Kafka cluster operation metrics Configured using CloudWatch as the data source: You will continue to incur costs until you delete the infrastructure that you created for this post. Indicates whether you want to enable or disable the Node Exporter. Analyze Amazon Security Lake logs for a complete understanding of security, Solving slow downs in FastAPI apps with New Relic, New Relic now supports AWS Systems Manager Distributor, 2008-23 New Relic, Inc. All rights reserved, Install the Prometheus OpenMetrics quickstart, Amazon Managed Streaming for Apache Kafka (MSK), Amazon MSK documentation for a full list of metrics, Make sure the nodes in your security group have the rules to access Prometheus metrics on ports. It has great support for Prometheus query language and is a highly capable and flexible metric visualization solution. In your AWS Cloud9 environment, choose File, then Upload Local Files. The details of the Amazon S3 destination for broker logs. Retrying your request might resolve the issue. port 11001 for the JMX Exporter and port 11002 for the Node Exporter. Note the private IP and the port. Open monitoring with Prometheus - AWS Documentation If you've got a moment, please tell us what we did right so we can do more of it. with Prometheus. Enable the jmxExporter, the Using this system, an exporter reads metrics from AWS infrastructure and exposes the data for Prometheus to scrape. View your entire stack and get the full benefits of your data securely. In chart builder, select the metric kafka_server_BrokerTopicMetrics_Count and filter (narrow to) the name TotalProduceRequestsPerSec. has an Apache Kafka version that is older than 2.4. All rights reserved. Services like RDS, Elasticache, EC2, and ECS have these metrics. a page the contains details for the cluster. Amazon CloudWatch Internet Monitor. Click to enlarge. Close the Welcome tab and open a new terminal tab, Create an SSH key file with the contents from the private key file, Run the following command to list the newly created key file, Open the file, enter the contents of the private key file. You can simply push the metrics to Pushgateway, and Prometheus will then pull the metrics from there. As weve seen in the above discussion, scaling Prometheus can be a significant challenge and you may end up managing multiple components including Thanos, Trickster, Grafana, and underlying infrastructure. bootstrap servers and Apache ZooKeeper connection string with the values for your Create a file with the following contents and name it prometheus.yml. open. Below are a few metrics that you should monitor in this space. On the Amazon MSK console, navigate to your existing cluster. Ajit Puthiyavettle is a Solution Architect working with enterprise clients, architecting solutions to achieve business outcomes. Please refer to your browser's Help pages for instructions. As mentioned, Prometheus runs on a single node so it is inherently not designed for high availability. On the AWS CloudFormation console, choose. To access the Prometheus web UI, open a browser that can access your Amazon EC2 If IAM Identity Center is currently enabled/configured in another region, you dont need to enable in your current region. Integrate with AWS security services to meet your corporate security and compliance requirements. Note that open monitoring with Prometheus is only available for provisioned mode clusters. You can use LinkedIn's Cruise Control to rebalance your Amazon MSK cluster, detect and To download it, go to Setting Up Cruise Control Frontend. Since Prometheus stores metrics on a disk in a single machine, as the data grows, many users end up decreasing their related range of fine metrics to accommodate growing scale. Install Prometheus on the Amazon EC2 instance that you created in the previous step. You can get the detailed instructions for the above steps in the AWS documentation. brokers. If you Correct your input and then submit it again. The threshold for this, for example, can be when all your CPU cores hit 100% utilization. Choose Select Files and upload targets.json and prometheus.yml from your local machine. The content is 100% original and guaranteed to not be from other sources on . Prometheus is ideal for scraping metrics from cloud-native services, storing the data for analysis, and monitoring the data with alerts. The Amazon Resource Name (ARN) of the cluster. Amazon Managed Streaming for Apache Kafka (MSK) abstracts away the management of Kafka so you dont have to worry about maintaining your own data streaming pipeline. Using this approach, your Prometheus servers will act as a scraper and then write those metrics to Logz.io for storage and analysis. Before you deploy the CloudFormation stack for Amazon Managed Service for Prometheus and Amazon Managed Grafana, make sure to enable IAM Identity Center. transfer of data across Availability Zones. If no key is specified, an AWS managed KMS ('aws/msk' managed service) key will be used for encrypting the data at rest. Please refer to your browser's Help pages for instructions. Please refer to your browser's Help pages for instructions. integrates with AWS security services to give you fast and secure access to your Update the targets with the broker endpoints you obtained earlier. Make a note of the Grafana workspace URL. Identity Store. There are different ways to monitor usage. Youre redirected to the AWS CloudFormation console, and can see the status as CREATE_IN_PROGRESSS. For information about Prometheus, see the Provide the required information in all the sections of the page, and For a list of the metrics associated with each of these three levels of monitoring, see Monitoring. Complete the following steps to deploy the CloudFormation stack AMG_AMP_Cloudformation: Complete the following steps to create a user for Amazon Managed Grafana: A success message appears at the top of the console. Extract the downloaded file to a directory and go to that You can use the open-source PromQL query language to query your metrics and Change the permissions of the file using the following command: Log in to the Prometheus server using this key file and the private IP noted earlier: Once youre logged in, check if the Docker service is up and running using the following command: TLS encryption between the client and brokers, Stack to be deployed in NEW VPC? You can also monitor your MSK cluster with Prometheus, an open-source monitoring 600+ This blog may contain links to content on third-party sites. If you used an existing Amazon MSK cluster, delete the stack, If you created a new Amazon MSK cluster, delete the stack. You can also use the This feature enables you to scrape a Prometheus friendly API to gather all the JMX metrics and work with the data in Prometheus. You can also configure open monitoring to gather metrics with Prometheus or Prometheus-compatible tools. data and that it's making rebalancing suggestions. Amazon MSK metrics for monitoring with Metrics are available to query in Amazon Managed Grafana or Amazon Managed Service for Prometheus in near-real time. To use the Amazon Web Services Documentation, Javascript must be enabled. Finally, metrics is only one piece of the observability puzzle, and Prometheus isnt purpose built to collect and store logs or traces. aws_msk_mm2/3_Setting_Up_Prometheus.md at main - GitHub You have to watch for any anomaly here. *, use the latest 2.0. Learn how observability can help you answer operational questions. For information on how to Edit the config/capacityCores.json file to specify the right And we all know how popular Kubernetes is among todays cloud developers. Javascript is disabled or is unavailable in your browser. # By default, Prometheus stores its database in ./data (flag --storage.tsdb.path). Monitoring of different Amazon MSK metrics is critical for efficient operations of production workloads. The threshold here can be 80% utilization. Most AWS services have this metric, with the most important ones being load balancers, Elasticache, RDS, and EC2. prometheus.yml. Find the IPv4 public IP address of the Amazon EC2 instance where you ran Prometheus in the previous step. It also sets enhanced monitoring to PER_BROKER. You can specify which Apache Kafka metrics you want Amazon MSK to gather and send to Amazon CloudWatch. amazon-msk-developer-guide/open-monitoring.md at main - GitHub Thanks for letting us know we're doing a good job! For example, if youre saving 10 GB of data on a 100 GB disk, the usage percentage is 10%. Enable CORS by returning the correct headers. https://console.aws.amazon.com/msk/home?region=us-east-1#/home/, https://prometheus.io/download/#prometheus, Amazon Managed Streaming for Apache Kafka, Creating an metrics are also available at port 11001 under the JMX MBean name Other tools in this ecosystem of course include Grafana, Trickster, Thanos, M3DB, Cortex, Pushgateway, and a number of other Prometheus exporters. If everything is correct, the message Data source is working appears. To access the Prometheus web UI, open a browser that can access your Amazon EC2 instance, and go to Prometheus-Instance-Public-IP:9090, where Prometheus-Instance-Public-IP is the public IP address you got in the previous step. Any solutions offered by the author are environment-specific and not part of the commercial solutions or support offered by New Relic. The request isn't valid because the input is incorrect. With its ecosystem of data collection, storage, alerting, and analysis capabilities, among others, the open source tool set offers a complete package of monitoring solutions. In the Monitoring section, select the check box next to Enable open monitoring with Prometheus. 11002. This metric comes with ELB and ALB. AWS support for Internet Explorer ends on 07/31/2022. Guide to AWS Monitoring with Prometheus and Logz.io This solution deploys a Prometheus server running as a container within Amazon EC2, which constantly scrapes metrics from the MSK brokers and remote write metrics to an Amazon Managed Service for Prometheus workspace. an existing Amazon MSK cluster, Setting up a Prometheus host on an Amazon EC2 You can monitor your MSK cluster with Prometheus, an open-source monitoring system for time-series metric data. Download Cruise In New Relic One chart builder, select the metric node_filesystem_avail_bytes, and in the Facet by field, select the device name to see file system usage per device in your cluster. 2023 [New] | AWS Certified Security Specialty Practice Exam For this reason, Prometheus users will inevitably end up isolating their metrics from their log and trace data which can prove a recipe for observability tool sprawl.