Eight recommended microservice testing tools

In recent years , Microservices create a highly flexible environment for various industries 、 And adaptable IT infrastructure . As a unique software development method , It mainly focuses on the implementation and implementation of a single functional module , To achieve the overall tasks and services set by software products . meanwhile , It allows developers to change only one service on demand , Without modifying the rest of the infrastructure .

In short , Microservice architecture can easily deploy and change every service , It will not affect other applications or service functions . Testers and developers don't have to stick to the traditional 、 A single architecture integrating multiple functions (monolithic architecture), Just use the microservice method , Build separate modules for each function .

however , Microservice architecture also makes applications more complex , Especially after we added many functions . Accordingly , Due to the distributed nature of the application itself , It also increases the testing complexity for many service composition functions . Besides , Because of the implementation of microservices , Different architectures can be followed , So we often need some special tools and strategies , To test and verify the execution effect of microservices . Usually , In testing for microservices , We should pay attention to the following three aspects ：

• Whether the basic functions and operation capabilities of various codes can be verified
• Whether it can provide accurate information 、 Fast and reliable feedback
• Whether the whole maintenance process can be simplified

The main advantages of the microservice Architecture

• Better scalability

Can grow with the demand for certain services , Or on demand on different infrastructures and servers .

• Fast delivery

Through distributed development , The microservice architecture enables teams to develop a large number of microservices at the same time . Besides , Due to the shortening of the development cycle , Microservices can also help speed up code iterations and updates . On this basis , The test team will have more time to fully test the target code or software product .

• Defined schema

Because those large applications will be broken down into smaller parts , Therefore, testers will be able to understand the smaller parts more easily , And then quickly improve or enhance them . In this way , The entire project team will be able to get a faster development cycle .

• Robustness

Because microservices can support various self-development 、 Different environmental applications 、 And service operation and maintenance . therefore , If the application can follow this pattern well , So even if there is an exception or crash in a single service , It will not affect other services in the same application . so to speak , Every microservice's “ Service boundary ”, It effectively ensures the fault isolation of the whole application .

• Easy to carry out

Because microservice applications follow a modular approach , As a result, each service will be much smaller than the traditional single architecture application . Empathy , A single service is easier to execute .

Eight well-known microservice testing tools

at present , There are many tools in the industry that can be used for on-demand tracking 、 Monitor and repair the design and operation of microservices . Here it is , I will briefly introduce you to the eight most commonly used and popular microservice testing tools .

• InfluxDB

InfluxDB It's a kind of adoption Go A free application tool written in . actually , It's a fast 、 reliable 、 Database with high accessibility . By optimizing the , It can retrieve data of various time series types . With its distribution advantages , Testers can often use this tool , Quickly find and locate the performance bottleneck of the service being measured . If you want to know more about InfluxDB Specific characteristics of , Please see the --https://www.influxdata.com/.

• Apache JMeter

As an efficient and practical performance testing tool ,Apache JMeter Data can be obtained from different sources , Convenient for testers in software of different scales , Comprehensively carry out functional and performance tests on microservices . If you want to know more about Apache JMeter Specific characteristics of , Please see the --https://jmeter.apache.org/.

• Gatling

Gatling It's a kind of adoption Scala Microservice testing tool written in . In design , The tool is easy to use 、 Maintainability 、 And higher performance . It can be used by testers to simulate the execution of microservices on many platforms . And after the execution ,Gatling In the automatically generated report , Reflect the number of active users 、 And response time and other parameters in operation . As an open source and free tool ,Gatling The main measurements are those based on HTTP Of Web application server , And can support various scripts in the test 、 Plug ins and integration . Its ability to test the performance of microservices , Has a good performance . If you want to know more about Gatling Specific characteristics of , Please see the --https://gatling.io/.

• Jaeger

Jaeger Is an end-to-end distributed open source tracking tool (Uber In its distributed system , This tool is used ), It can be used to detect and troubleshoot microservice centric systems . By tracking different services in the running environment of the software under test , It can examine various potential root causes 、 Key service dependencies 、 And areas where performance optimization needs to be performed . If you want to know more about Jaeger Specific characteristics of , Please see the --https://www.jaegertracing.io/.

• Hoverfly

As an automated open source API Communication simulation tool ,Hoverfly It can assist users to carry out various integration tests . for example , According to the rate limit and delay problems in the network , Go to check the micro service API How to react to a specific event . meanwhile , It can be realized by analog communication , Running various test calls between microservices , And then in the mode of agent , Record the response to a request , And finally confirm whether it can perform or feed back as expected . If you want to know more about Hoverfly Specific characteristics of , Please see the --https://hoverfly.io/.

• Pact

As a contractual testing tool ,Pact It can be used to monitor HTTP Interaction with various messages , To ensure that the application is consumer driven (consumer-driven contract) How to run . The contract herein refers to , In software system , A standardized format for data interaction between services . for example ： Consumer side (client) And the server side (server) The data interface for the interaction between them . essentially , Consumer driven contracts enable testers to do so in an offline and decoupled way ( namely , There is no need for both the consumer side and the server side to be online at the same time ), And rely on the contract as the intermediate standard , To verify whether the server-side content meets the expected output of the consumer side . therefore , This unique test method , It can greatly reduce the workload of unit testing . first ,Pact Is to use Ruby The realization of language , Later, they were successively JS、C#、Java、Go、Python And other languages .Pact Contract testing can be performed on multiple individual service interfaces in the microservice mode . If you want to know more about Pact Specific characteristics of , Please see the --https://docs.pact.io/.

• Amazon CloudWatch

As a set of monitoring solutions ,Amazon CloudWatch Can be used to monitor deployment in Amazon Web Services Various applications on 、 Or the resource usage of microservices .CloudWatch Provide users with relevant data and practical insights , To monitor applications 、 Respond to system performance changes 、 Optimize resource utilization , And view the overall operation status in the unified view .

It is able to log 、 event 、 And the form of parameter index , By collecting monitored data , Discover the micrometered service 、 And various load states in its environment 、 Abnormal behavior 、 Performance changes 、 And the utilization of resources to be optimized , So it is a very useful tool . If you want to know more about Amazon CloudWatch Specific characteristics of , Please see the --https://aws.amazon.com/cloudwatch/.

• Grafana

Grafana It's a free 、 Analysis suite for parameter indicator visualization . Testers can use it to visualize various time series data , To reflect the traffic change and service status of the measured service in real time . If you want to know more about Grafana Specific characteristics of , Please see the --https://grafana.com/.

Summary

On the whole , Choose a suitable microservice testing tool , It can not only help us find and correct the problems in the existing software code as soon as possible , And then improve the overall quality of the software to be tested ; And in the long run , It can greatly increase the confidence of the development team and customers in the tested software products , Enhance the motivation to win the market .

Original title ：Top Microservices Testing Tools Testers Should Know About, author ：Shormistha Chatterjee