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This article mainly analyzes the relevant knowledge points of the excellent monitoring tools in the serverless architecture environment, the content is detailed and easy to understand, the operation details are reasonable, and has a certain reference value. If you are interested, you might as well follow the editor and learn more about what are the excellent monitoring tools for a serverless architecture environment.

In recent years, serverless architecture is one of the hot technology trends in the cloud computing market. And many enterprises have begun to use serverless architecture in production environment. Although no server provides many benefits, because the new computing model makes developers change their point of view, many people have not yet switched. When people talk about the advantages and disadvantages of no server, there are many reasons related to its lack of controllability. Is that really the case? So what solutions can solve this problem? Three monitoring tools in serverless architecture are recommended below.

1.Dashbird

Dashbird has won praise from many users through its easy-to-use user interface, simple setup takes less than 5 minutes, and live tailing allows you to view updates and powerful alarm systems in real time. Dashbird does not need to write any code! You can use the service to register and complete the two-minute tutorial. One of the benefits of Dashbird is that it can get all the data from CloudWatch and AWS X-Ray, which means your application won't encounter any delays.

Core functions:

Excellent user interface

There is no delay in adding to the function run time

Low cost

Support for Java,Node.js,Python

2.Thundra

Thundra is an easy-to-set tool that can be used as an alternative to AWS X-Ray, providing easy-to-read charts in well-designed dashboards. One of the differences between Thundra and its competitors is that it focuses on Java rather than Node.js or Python. Similar to Dashbird's approach, Thundra does not add any delay to the run time of the function by separating data transmission from the Lambda function.

Core functions:

Easy to install

There is no additional delay to add to the function runtime

Require limited access to the AWS account

3.IOpipe

IOpipe provides monitoring, tracking, and analysis for AWS Lambda functions written in Node.JS,Python and Java. It has real-time metrics, customizable alerts, and customizable events for granular error logs. Similar to Dashbird and Thundra, it allows you to track and analyze performance and feature cold starts. One of the key differences of IOpipe is its tracking system, which must install each Lambda function, which basically means adding another piece of code for each function that calls IOpipe to monitor that function. This increases the extra delay in the running time of the function.

Core functions:

Low cost

Users do not need to grant AWS access

Versitile alarm system

Support for Java,Node.js,Python

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