When you create your virtual nodes, you have the option to configure the path for Envoy’s access logs. If you aren’t familiar with virtual nodes in App Mesh, they are a logical pointer to a discoverable service such as an ECS or Kubernetes service. Once you’ve created your environment, you need to turn on access logging for Envoy in App Mesh which is actually very simple. In order to demonstrate a microservices application running in a service mesh, we will leverage the Color App as our example application. This example assumes you have some level of familiarity with AWS App Mesh, Amazon ECS on AWS Fargate, and FireLens for Amazon ECS. Now that you understand the basics, let’s dive into two different examples.įireLens Example: Parse Envoy Access Logs from AWS App Mesh ![]() In order for it to be easily searchable in a downstream log collection system, we need to structure these messages into JSON. Below is the format Envoy uses for the access logs: When it comes to access logs and the format of those logs, the Envoy proxy uses format strings when generating access logs, which are plain strings that include the details of a HTTP request. This provides you with consistent visibility and network traffic controls for services built across multiple types of compute infrastructure. As mentioned earlier, App Mesh uses the open source Envoy proxy, making it compatible with a wide range of AWS Partner Network (APN) technology partners and open source tools. Understanding Envoy and the Envoy Access Logsīefore we begin, let’s cover some basics around Envoy and App Mesh. In this blog post, you will learn how to implement a consistent and structured log format for your microservices applications with AWS App Mesh and Fluent Bit. App Mesh leverages Envoy as a proxy in front of your containers in the service mesh which allows you to generate access logs in a consistent format. App Mesh allows you to gain visibility between the various services in your environment, all while making it easy to monitor, control and debug the communications between those services. The aforementioned challenge is just one reason why AWS App Mesh is great for unifying your services behind a service mesh. You don’t want to waste your cycles here as it takes away from the innovation and quicker time-to-market that microservices architectures are supposed to bring to your organization. Imagine trying to find a particular error or status code across different services that are interacting with each other with no data consistency in your logs. Moreover, imagine trying to maintain all the different parsers you need to ingest that data into a logging solution. One of the challenges of a polyglot microservices architecture is trying to correlate different access logs into a consistent format as they are sent to a centralized logging solution. ![]() While this approach enables your teams to work independently, you can run into some challenges as your microservices architecture grows. Meaning, microservices architectures shouldn’t follow a “one size fits all” approach. However, the one benefit where I’ve typically found consensus is that microservices allow your teams to have the freedom to choose the best tool for each job. ![]() I’ve found that the term microservices can have different meanings and benefits depending on who you talk to.
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