![]() "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: 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 That way you don’t need to worry about generating new credentials all the time.The first step is to install the CloudWatch agent on the EC2 instance. The SDK will make sure to request new credentials when it’s needed. When you work with roles, the credentials expire automatically after a short period of time. But that’s not a good security practice, which is why we need an IAM role. To test our code locally, we created an IAM user and then configured our machine to use the credentials of the user. The AWS Lambda function will use this to send metrics data to CloudWatch. Go back to the AWS Console to create an IAM role. Create an IAM Role for the AWS Lambda Function This is the code that we’ll deploy to AWS Lambda. Now the code should look like this: import boto3 Tab the code below so that it becomes part of the function. Add this line right after the imports section: def lambda_handler(event, context): So let’s wrap the current code into a handler (or def in Python terms). For Python scripts, AWS Lambda needs the name of the file and the name of the function where the code workflow starts. All that means is that Lambda needs the code’s starting point. When you deploy code to AWS Lambda, one of the prerequisites is that you need to indicate what the code’s handler is. Great! This code is almost ready to be deployed to AWS Lambda. Copy the following JSON definition for the policy: ![]() The user we’re going to create will only need to have permissions to put metric data into CloudWatch. Go to the IAM Policies page and click on the blue “Create policy” button: The first thing we need to do is to create an IAM policy in AWS Identity & Access Management with the fewest privileges. Keep in mind that, in order to follow the tutorial, you’re going to need to be logged to your Amazon AWS account. By sending those metrics to AWS CloudWatch, I was able to act proactively with the infrastructure, either by restarting the app or by scaling out the infrastructure. ![]() At one company where I used to work, there were times where users were starting to experience problems, and system metrics like CPU or memory were in the normal trend. ![]() I’ve used AWS Lambda to send custom metrics to CloudWatch to collect data on business metrics like purchases made in the application. And do you want to hear the best part? Getting started will cost you less than you might spend on a cheeseburger. Starting from scratch, we’re going to finish up this post by leaving a serverless project running on Amazon Web Services (AWS). Today’s post is a detailed guide on how to send custom metrics to AWS CloudWatch monitoring using AWS Lambda. ![]() By: Christian Melendez | November 14, 2019 ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |