There are six types of blueprints available, and you can choose one among them according to your use case.
Alert canary website monitor code#
You can create canaries by using ready-made code snippets using the blueprint option from the AWS management console. You can create canaries using prebuilt blueprints or by creating custom canaries with CloudFormation templates. CloudWatch Logs log groups with the name : /aws/lambda/cwsyn-M圜anaryName.Lambda functions and Layers with prefix cwsyn-M圜anaryName.Alarms with the name Synthetics-Alarm-M圜anaryName.An S3 bucket with the name cw-syn-results-accountID-region.An IAM policy with the name CloudWatchSyntheticsPolicy-canary-name-uuid.An IAM role with the name CloudWatchSyntheticsRole-canary-name-uuid.Keep in mind that the following AWS implicit resources are created when you create a canary: Now that we understand the fundamentals of CloudWatch Synthetics let’s jump into working with canaries. The general architecture of CloudWatch Synthetics. Here is a reference diagram for the general architecture of CloudWatch Synthetics. You can also store responses to an S3 bucket and generate alarms for any value that falls beyond the pre-configured thresholds. This code performs endpoint configuration, authentication, and validation of responses. The Lambda function created by canaries exposes an interface through which you inject some Node.Js code. Two scripting languages you can use to write canaries.ĬloudWatch Synthetics is an orchestration service, which offers synthetic monitoring to continuously verify customer-facing performance. Tools/ Scripting LanguagesĪn open-source collection of APIs used for testing web applications.Ī Node.js library that provides an automated testing environment, allowing you to run your tests directly in the Chrome browser. Here is a breakdown of the common methods for programmatic access to Canaries. In addition to Python and Node.js, Canaries offer programmatic access to a Google Chrome Browser via Puppeteer or Selenium Webdriver. This proactive alerting can help you quickly fix problems and improve overall customer satisfaction. You can also set alarms for immediate notification if your services experience any issues. All the data is logged in AWS CloudWatch. In addition to checking endpoint availability and latency, canaries can monitor website content, page load times, and store Graphical User Interface (GUI) screenshots. You can run a canary once or on a regular schedule.
Alert canary website monitor verification#
For more on securing canaries, please review security considerations from the AWS docs.Ĭanaries follow the same actions as a customer, enabling continuous verification of customer experience, even if you do not have any real traffic on your applications yet. Since canary code and results carry sensitive information, you must take precautions when working with canaries. Canaries generate Lambda functions in an AWS region that can use either of those frameworks.Ĭanaries support HTTP(S) and monitor endpoints and APIs by checking the latency and availability. Node.js and Python are two popular scripting languages for writing canary scripts. What are Canaries?Ĭanaries are configurable AWS CloudWatch Synthetics scripts used to monitor web applications. Understanding Canariesīefore jumping directly to the general architecture of CloudWatch Synthetics, it’s helpful to understand what canaries are and how they work. Then, we’ll also explore methods to create Canaries, CloudWatch Synthetics parameters (metrics, alarms, data storage, and retention), and provide a practical example to help you get hands-on with CloudWatch Synthetics. Here, to help you hit the ground running with CloudWatch Synthetics, we’ll review its architecture and its primary construct – canaries. Unauthorized changes from phishing, code injection, and cross-site scripting.Specifically, AWS CloudWatch Synthetics enables monitoring of: AWS CloudWatch Synthetics is a popular synthetic monitoring solution on the AWS platform. You can even proactively detect issues in private test environments before end users notice them with synthetic monitoring. Synthetic monitoring solves that general problem by using synthetic traffic to simulate visitors’ requests to test user-facing endpoints. While we can monitor the performance of each part individually, monitoring the end-user experience of applications is most valuable. Modern applications consist of containers, serverless functions, microservices, and more.
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