![]() Configure EC2 Auto Scaling based on the load on the compute nodes. Configure Amazon EventBridge (Amazon CloudWatch Events) as a destination for the jobs. Implement the primary server and the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling based on the load on the primary server. Configure AWS CloudTrail as a destination for the jobs. Configure EC2 Auto Scaling based on the size of the queue. Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Configure EC2 Auto Scaling to use scheduled scaling.Ĭonfigure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs. You can use metric streams to continually stream CloudWatch metrics to a destination of your choice, with near-real-time delivery and low latency. Implement the compute nodes with Amazon EC2 instances that are managed in an Auto Scaling group. Step 5: Create a metric stream to continually stream CloudWatch metrics to a third-party APM service provider. Transfer the data from the existing NFS file share to the S3 File Gateway.Ĭonfigure an Amazon Simple Queue Service (Amazon SQS) queue as a destination for the jobs. Point the new file share to the S3 bucket. Create a new NFS file share on the S3 File Gateway. ![]() Create a public virtual interface (VIF) to connect to the S3 File Gateway. Set up an AWS Direct Connect connection between the on-premises network and AWS. Transfer the data from the existing NFS file share to the S3 File Gateway. Create a public service endpoint to connect to the S3 File Gateway. Return the device so that AWS can import the data into Amazon S3.ĭeploy an S3 File Gateway on premises. Use the Snowball Edge client to transfer data to the device. Receive a Snowball Edge device on premises. Use the AWS CLI to copy all files locally to the S3 bucket.Ĭreate an AWS Snowball Edge job. Create an IAM role that has permissions to write to the S3 bucket. Restart the CloudWatch agent by entering one of the following commands.Create an S3 bucket. "^catalina_globalrequestprocessor_bytesreceived$" "^java_lang_operatingsystem_freephysicalmemorysize$", "catalina_globalrequestprocessor_bytesreceived": "Bytes", "jvm_gc_collection_seconds_sum": "Seconds", "catalina_manager_activesessions": "Count", "java_lang_operatingsystem_freephysicalmemorysize": "Bytes", "prometheus_config_path": " path-to-Prometheus-Scrape-Configuration-file", Infromation for your sample java application. This will emit Prometheus metrics to port 9404.īe sure to replace the entry point .App with the correct Java application with the Prometheus exporter pattern: 'Catalina(processingTime|sessionCounter|rejectedSessions|expiredSessions)' ![]() pattern: 'Catalina(currentThreadCount|currentThreadsBusy|keepAliveCount|pollerThreadCount|connectionCount)' pattern: 'Catalina(requestCount|maxTime|processingTime|errorCount)' Name: catalina_globalrequestprocessor_$3_total pattern: 'java.lang(TotalStartedThreadCount|ThreadCount)' pattern: 'java.lang(FreePhysicalMemorySize|TotalPhysicalMemorySize|FreeSwapSpaceSize|TotalSwapSpaceSize|SystemCpuLoad|ProcessCpuLoad|OpenFileDescriptorCount|AvailableProcessors)' Here is a sample configuration for Java and Tomcat. The config.yaml file is the JMX exporter configuration file.įor more information, see Configuration in the JMX exporter documentation. Replace these parts of the commands with the jar for your application. The example commands in the following sections use The next step is to start the Java/JMX workload.įirst, download the latest JMX exporter jar file from the following location: Allows to export 0 even if CloudWatch returns nil Allows exports metrics with CloudWatch timestamps (disabled by default) Static metrics support for all cloudwatch metrics without auto discovery Pull data from multiple AWS accounts using cross-account roles Can be used as a library in an external application Support the scraping of custom. Hjava, and Tomcat (Catalina), from a JMX exporter on EC2 instances. The CloudWatch agent can collect predefined Prometheus metrics from Java Virtual Machine (JVM), For more information, see prometheus/jmx_exporter. JMX Exporter is an official Prometheus exporter that can scrape and expose A sample configuration file contains the following global Update the configurations that are already in this file, and add additional The CloudWatch agent supports the standard Prometheus scrape configurations as documented The other is for theĬloudWatch agent configuration. One is for the standard Prometheus configurations as documented in The CloudWatch agent with Prometheus monitoring needs two configurations to scrape the The first step is to install the CloudWatch agent on the EC2 instance.
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