![]() ![]() Injection of the IMetricsLogger instance. The following code sample illustrates the implementation. ![]() Logger.PutMetadata("MY_SERVICES_INSTANCE", Environment.GetEnvironmentVariable("MY_SERVICES_INSTANCE")) įor business-specific metrics implementation, I use dependency injection to supply an instance of an object implementing the IMetricsLogger interface into each controller or service class and emit the business-specific metrics. LogGroupName = Environment.GetEnvironmentVariable("AWS_EMF_LOG_GROUP_NAME"),ĮnvironmentOverride = Īpp.UseEmfMiddleware((context, logger) => Register CloudWatch EMF for ASP.NET CoreĮMF. = new Refer to one of the Program.cs file of the Worker Service to learn how to implement it for that type of application. The following code example illustrates configuring CloudWatch EMF in the Program.cs file to generate metrics for the web application. I also use the NuGet package ( ) in the web application project, which allows automatic instrumentation for metrics of all HTTP requests and responses. In addition, a sidecar process avoids resource utilization contention in the application, which helps avoid performance and throughput impact.įor the CloudWatch EMF implementation, I am using NuGet package in all three applications projects. EMF enables the application to embed custom metrics in detailed log event data, using a sidecar container to process, parse, and transmit the metrics to CloudWatch. For this example, I’m focusing on using the CloudWatch EMF to show how it allows the ingestion of complex, high-cardinality application data as logs to generate actionable metrics. NET or the CloudWatch Embedded Metric Format (EMF). NET web application metrics in the application code, you can use the CloudWatch PutMetricData API call using the AWS SDK for. NET application, such as CloudWatch Container Insights for container-based applications. In addition, you can collect infrastructure metrics by using Amazon CloudWatch integration with the AWS compute services where you choose to host the. NET web application metrics in the application code. NET web application metrics to measure HTTP request-related metrics, or infrastructure metrics to provide AWS resource utilization data.Ĭonsider collecting business-specific metrics and. You can collect business-specific metrics that include measurements at the application level. NET applications using Amazon CloudWatch. You can implement different metrics in your. Implementing metrics with CloudWatch Metrics in. Open the solution in an IDE like Visual Studio Code to explore the implementation. You can clone the repository from the command line with the following command: git clone AWS credentials for your AWS account configured locally.Visual Studio Code (or your preferred IDE ).NET 6.0 Software Development Kit (SDK) Git CLI ![]() The following prerequisites are required on your system to test and deploy this solution: It uses the AWS Cloud Development Kit (CDK) to define and provision the Infrastructure as code using the C# programming language. NET Microservice solution Prerequisitesįor this example, you can use the GitHub repository “ microservices-dotnet-aws-cdk ,” which contains the sample code for all three microservices. Using this architecture as an example, I will show you how to use Amazon CloudWatch and AWS X-Ray to implement metrics in this. To avoid such scenarios, you can implement observability using metrics, logging, and distributed traces to provide visibility into the health and performance of each component. In this example, the Worker Services have no user interface or API for end-user interaction, so they may fail silently. How would you troubleshoot the root cause of the problem, such as which components are failing or underperforming? If something goes wrong with this workload, you may see increased error rates, degraded performance, or data inconsistency. NET microservices: an ASP.NET Core web API, two Worker Services, and the cloud resources they use. NET workload like the one in Figure 1, which runs on Amazon Elastic Container Service (Amazon ECS) with AWS Fargate. In this first post, I will explore implementing and using Amazon CloudWatch metrics on a containerized. NET application to generate metrics, logs, and distributed traces and how to use them with Amazon CloudWatch and AWS X-Ray to improve observability. This post is the first in a series of three posts in which I will demonstrate how to instrument a. To achieve this, you can design and implement telemetry to enable observability capabilities. You must monitor performance, trace transactions, collect logs, gather metrics, and trigger alarms when metrics breach thresholds. NET application goes beyond just coding and deploying. ![]()
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