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webbuilder November 27, 2023 0 Comments

DevSecOps: Steps To Use Shift Left Testing With JMeter

As security breaches have become a norm, the integration of security measures early in the development process is a necessity.DevSecOps revolutionizes software development by integrating security from the start. In this context, JMeter stands out for its performance testing capabilities. Our focus is on the synergy between DevSecOps and JMeter, exploring the proactive approach of Shift Left Testing. This method involves early testing in the development process, ensuring security and performance are prioritized throughout. Here we discuss the steps to leverage the JMeter Maven plugin for Shift Left Testing. 

Shift Left Performance Testing

Steps to Leverage JMeter Maven Plugin for Shift Left Testing

Step 1. Plugin Installation and Configuration:

  • Install the JMeter Maven Plugin, version 2.8.3, sponsored for enhanced dependency management.
  • Utilize the jmeter-plugins-manager for additional functionality, including the Ultimate Thread Group plugin.
  • Configure the JMeter Maven Plugin in the project’s POM file, specifying the test plan location and relevant configurations.

2. Project Layout Setup:

  • Organize the project structure with the JMeter test plan (e.g., mvn-demo.jmx) in src/test/jmeter.
  • Manage configuration files, such as log4j2.xml in src/test/conf and user.properties in src/test/jmeter.

3. Integration of Ultimate Thread Group Plugin:

 

  • Add the Ultimate Thread Group plugin to the JMeter test plan for visual load configuration.
  • Configure ramp-up and plateau parameters to simulate realistic load scenarios.

4. Maven Plugin Declaration:

 

  • Declare the JMeter Maven Plugin within the <build> element of the project’s POM file.
  • Specify version 2.8.3 and set up essential configurations for plugin execution.

 

<build>

  <plugins>

    <plugin>

      <groupId>com.lazerycode.jmeter</groupId>

      <artifactId>jmeter-maven-plugin</artifactId>

      <version>2.8.3</version>

      <configuration>

....

      </configuration>

      <executions>

....

      </executions>

    </plugin>

  </plugins>

</build>

 

5. Define Goals and Build Phases:

 

  • Configure Maven build process to run specific goals in the verify phase.
  • Set up goals such as jmeter to execute the load test and generate HTML reports, and results to perform verification and fail the build if error rates exceed defined thresholds.

<executions>

  <execution>

    <id>jmeter-tests</id>

    <phase>verify</phase>

    <goals>

      <goal>jmeter</goal>

    </goals>

  </execution>

  <execution>

    <id>check-results</id>

    <phase>verify</phase>

    <goals>

      <goal>results</goal>

    </goals>

   </execution>

</executions>

 

6. Dependency Configuration:

 

  • Define dependencies for the Ultimate Thread Group plugin within the <configuration> element.
  • Exclude unnecessary artifacts to streamline the build process.

<jmeterExtensions>

     <artifact>kg.apc:jmeter-plugins-casutg:2.6</artifact>

 </jmeterExtensions>

 <excludedArtifacts>

    <exclusion>org.slf4j:slf4j-nop</exclusion>

    <exclusion>avalon-framework:*</exclusion>

    <exclusion>org.apache.tika:*</exclusion>

    <exclusion>excalibur-datasource:excalibur-datasource</exclusion>

    <exclusion>excalibur-instrument:excalibur-instrument</exclusion>

    <exclusion>excalibur-logger:excalibur-logger</exclusion>

    <exclusion>excalibur-pool:*</exclusion>

    <exclusion>org.beanshell:bsh:jar:2.0b5</exclusion>

 </excludedArtifacts>    

7. Build Failure Configuration:

 

  • Configure the build to fail if the error rate exceeds a predefined threshold (e.g., 1%).
  • Implement this configuration within the <configuration> element.

<errorRateThresholdInPercent>1</errorRateThresholdInPercen

8. Passing Properties to JMeter:

 

  • Externalize JMeter settings using __P function for parameters like threads, duration, etc.

${__P(threads,5)

 

  • Pass Maven properties, such as ${project.version}, to JMeter for dynamic configuration.
  •  

9. Report Configuration:

 

  • Configure parameters for the JMeter report, including the report title and series filter.

jmeter.reportgenerator.report_title=JMeter with Maven Demo

jmeter.reportgenerator.exporter.html.series_filter=^(HomePage|PageReturning404)(-success|-failure)?$

jmeter.reportgenerator.overall_granularity=1000

 

  • Place configuration parameters in the user.properties file in src/test/jmeter.

jmeter.reportgenerator.report_title=JMeter with Maven Demo

jmeter.reportgenerator.exporter.html.series_filter=^(HomePage|PageReturning404)(-success|-failure)?$

jmeter.reportgenerator.overall_granularity=1000

10. JVM Configuration:

 

  • Fine-tune JVM settings for the JMeter process to optimize performance.
  • Adjust settings like MaxMetaspaceSize, Xmx, and Xms within the <configuration> element.

<jMeterProcessJVMSettings>

     <arguments>

         <argument>-XX:MaxMetaspaceSize=256m</argument>

         <argument>-Xmx1024m</argument>

         <argument>-Xms1024m</argument>

     </arguments>

 </jMeterProcessJVMSettings>

 

11. Run the Tests:

  • Execute the tests using the command mvn clean install in the console.

mvn clean install

  • Observe the build output, including performance test results and HTML reports.
  • Analyze the results and address failures, ensuring the build fails if error rates exceed the specified threshold.

[INFO] Performance Test Results

 [INFO]  

 [INFO] Result (.jtl) files scanned: 1

 [INFO] Successful requests:         245

 [INFO] Failed requests:             239

 [INFO] Failures:                    49.380165% (1.0% accepted)

 [INFO] ------------------------------------------------------------------------

 [INFO] BUILD FAILURE

 [INFO] ------------------------------------------------------------------------

 [INFO] Total time: 01:15 min

 [INFO] Finished at: 2019-01-15T15:58:07+01:00

 [INFO] Final Memory: 24M/526M

 [INFO] ------------------------------------------------------------------------

 [ERROR] Failed to execute goal com.lazerycode.jmeter:jmeter-maven-plugin:2.8.3:results (check-results) on project jmeter-maven-plugin-demo: Failing build because error percentage 49.380165 is above accepted threshold 1.0. 

...

 

Conclusion

Integrating JMeter Maven Plugin for Shift Left Testing is a crucial stride towards proactive security and optimized performance in software development. This dynamic combination, rooted in DevSecOps principles, sets the stage for resilient applications from the project’s inception.

 

For advanced software testing solutions, explore Triotech Systems. Elevate your development practices – visit Triotech Systems today.

FAQs

Implementing CI/CD has facilitated many businesses’ rapid and reliable software delivery. Continuous Integration/Continuous Delivery allows an efficient procedure for releasing goods to market at record speeds by providing a steady stream of new characteristics and fixing bugs through the most appropriate delivery mechanism.

In the business world, being “agile” involves more than just being able to create flashy new features. Agile teams can boost feedback throughout the development process, eliminate waste and obstacles, and ensure that their code is fully testable.

With the help of AI, DevOps teams may improve their software development processes across the board: testing, coding, releasing, and monitoring. Artificial intelligence (AI) can improve automation, problem detection and resolution times, and group dynamics.

DevOps is a set of practices that encourages the adoption of an agile mentality across a wide range of software development and operations processes. The phrases “continuous integration,” “continuous delivery,” “communication,” “automation,” and “management” all spring to mind when talking about DevOps.

Due to its capacity to enhance test coverage, automation testing can yield superior findings. Only a subset of possible hardware configurations and operating systems may be tested manually. However, much more can be covered by automated testing. As a result, we can catch errors more effectively.

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What Are The 11 Best Practices Of DevOps Every Business Owner Should Know?

DevOps Best Practices

Adopting a DevOps mindset demands a shift in organizational values, adopting automated procedures, and using appropriate tools. Organizations transitioning to DevOps benefit from increased functionality, accelerated release cycles and fewer performance issues.

 

Despite the clear benefits, a shift to DevOps is something other than something we should undertake casually. In conventional engineering firms, the development and operations teams often operate independently, which can cause tension between the two crucial divisions. Operations engineers keep things running well despite developers producing more code and speeding up release cycles. Delays in deployment are common because operations teams act as gatekeepers.

 

If your company is ready to change to DevOps, this article is for you. This post will serve as a resource as you move forward with your DevOps implementation project by providing some pointers on best practices.

Definition Of “DevOps”

DevOps is best understood as an administrative push toward enhanced cooperation and communication between software development and operations departments to accelerate and better product deployment. This new method of operation will have far-reaching effects on both teams and the businesses they serve.

Our List Of The Most Effective 11 DevOps Best Practices

Here, we’ll discuss a few of the most influential DevOps strategies you may implement to boost efficiency and output.

Be Certain That DevOps Leadership Practices Are In Place

Leaders exhibit foresight into the future regarding both the organization’s and the team’s goals. Leaders provide intellectual stimulation by prompting members to consider alternative perspectives and challenge long-held beliefs. Inspiring communication from leaders helps team members feel good about themselves and their contributions and fuels their fires of enthusiasm and ambition. It allows them to find the silver lining in the inevitable cloud of change that accompanies every endeavor. Leaders show they care for their followers by considering their feelings, wants, and interests before acting. Leaders encourage a culture of appreciation by publicly praising teams for above-average performance, privately honoring those who have gone above and beyond, and publicly recognizing those who have improved the quality of their work.

Put The Needs Of The Customer First.

Whether you employ a more conventional waterfall model or a more comprehensive DevOps strategy, satisfying your customers should be your priority.

 

Today’s SaaS users have high expectations, including regular updates and the quick delivery of new features. DevOps enables the release process to streamline. Having the same people overseeing code releases and creating new code makes it easier to get updates out to clients more quickly.

Modalities For Conducting Projects With An Agile Approach

Agile is an iterative methodology for managing projects and creating software that speeds up the process of satisfying clients. In contrast to traditional waterfall teams, agile teams prioritize frequent, incremental delivery of working software. Continuous evaluation of requirements, plans, and results enables teams to adapt quickly to changing circumstances.

 

Here are some of the essential ideas in agile methods:

 

  • Create a process with four stages: to-do, doing, reviewing code, and finished. 
  • Large projects require teams to segment work into manageable chunks and adapt to shifting priorities and requirements.
  • How do you keep score of the little things? Scrum and kanban are two essential tools for any agile team.

Create A Team-Oriented Environment

Adopting DevOps practices in your company opens the door to more excellent communication and cooperation between developers and operations staff. DevOps allows you to break down barriers between different groups, such as the development team, the IT operations team, and the quality assurance team. With this strategy, you can create products more rapidly and get them to customers more swiftly. It is necessary to alter how the team thinks and operates to achieve such a high level of cooperation. By working together toward the same purpose, they will be more effective.

 

Developers and Operations experts must each understand their role in the procedure to ensure that it runs smoothly and efficiently to meet the demands and expectations of customers. In DevOps, all team members, irrespective of their designated roles, are responsible for some aspect of both development and operations.

 

Teams who practice DevOps with a “shift left” mentality incorporate code testing into the initial stages of development. Instead of sending off modifications to a standard test or QA team, engineers might fix bugs and enhance code quality as they work on the appropriate section of the codebase by running a battery of tests as they go. The left-shift methodology promotes early testing alongside development, allowing for quicker bug discovery and resolution. Shifting left is possible with continuous integration, delivery, and deployment.

Make Use Of Automated Testing.

To produce high-quality code, you should do frequent software tests. DevOps allows developers to address issues as they crop up during code creation. They can get everything done far in advance of the deadline.

 

Automating tests within a DevOps framework is a prudent choice to hasten the software development life cycle (SDLC). There is a significant time investment involved in manual testing. Testers can do different tedious tasks in automated testing repeatedly. They can put a lot of time and energy into generating new test cases and coordinating with developers to eliminate bugs.

 

Experts can run more tests more frequently with automation. This testing promotes early bug corrections and enhances product quality generally. For this reason, test-driven development is crucial to the agile methodology, making automated testing a common practice.

 

The good news is that many different types of automated test technologies are available, allowing the testing team to try out several approaches and choose which ones they like best.

Applications And DevOps Pipeline Monitoring

In general, automating processes speeds up development, but if an automated one fails and no one notices, you could do the task by hand. For this reason, keeping an eye on the DevOps pipeline is crucial to ensuring that a failed build or test doesn’t cause unnecessary holdups. Similarly, it’s vital to keep an eye on your production apps to catch any bugs or performance issues before your consumers do.

Collecting Constant Feedback

Constant feedback guarantees everyone on the team has the key to the information they need to complete their tasks on schedule. The team gets notifications promptly whenever there is a problem with the pipeline to put it in terms of software development. This feedback ensures that the results of any tests performed on the code are delivered to the developers promptly while remaining clear and comprehensive. Production issues, performance issues, and reported defects are all communicated to the team via product management. Conventional wisdom held that in the past, a development team could only choose between maximizing speed and maximizing quality. One aspect of DevOps that allows for both is continuous feedback.

Keep An Eye On The Appropriate KPIs

DevOps advocates continuity as one of the finest strategies to follow. Since DevOps is always active, it is fair to claim that monitoring the system’s performance in real-time is the gold standard. The team may calculate DevOps effectiveness by tracking key performance metrics such as work done, work left to do, lead time, mean time to detect, and issue severity.

 

Keeping an eye on the data is crucial because doing so can help you detect issues quickly and get back on your feet again. The DevOps team can establish your organization’s objectives and targets with the help of the DevOps metrics. Validate the correct metrics, such as development team velocity, success factors, unit cost, relevant profitability, and overall associated cost, with the use of DevOps.

Effective Change Management

Change management proves that you can successfully improve IT’s ability to back up the whole business. Particularly within any given task group, several technologies, even different versions of the same technology, may be used to create a single solution, but this seems highly unlikely.

 

DevOps introduces enterprise-level operations to make matters easier, necessitating a more comprehensive approach to change management that considers a wide range of solutions, all operating in tandem.

 

The development team must work closely with the operations team to fully grasp the implications of any technological changes at the company’s level. This method uses automated testing, coordinated configuration management, and dynamic stakeholder interaction.

Observability

The transition from on-premise monoliths to cloud-native, microservice-based apps has made monitoring much more difficult. Consequently, observability is gaining traction. The term “observability” refers to the ability to gain insight into the behavior of a complex system by combining data from all three sources. The three mainstays of observability are metrics, traces, and logs. Most system components and applications produce records, which are collections of time-series data regarding the system’s or application’s activity. A series of traces map out the application’s logical flow. Disk space, network availability, CPU/RAM allocation, and other metrics are all considered.

Employ A Professional DevOps Team

Best practices for DevOps have stabilized and remain unchanged. Many businesses have found that outsourcing their DevOps transition or development initiatives to a dedicated DevOps company like Triotech Systems has been the most effective method.

 

This outsourcing may seem extreme, but the stakes are much bigger now. Many enterprises work to keep up with the ever-increasing market demands while offering the necessary levels of security and stability.

Conclusion

We hope you’ve gained some valuable insights on DevOps from our blog post on best practices. DevOps can benefit your business if you invest the effort to understand its foundations and teach your workforce how to adapt it to your specific circumstances. DevOps engineers at Triotech Systems, in-house or contracted, assume full accountability for maintaining consistent collaboration via rigorous monitoring, testing, and iterative feedback loops.

FAQs

Implementing CI/CD has facilitated many businesses’ rapid and reliable software delivery. Continuous Integration/Continuous Delivery allows an efficient procedure for releasing goods to market at record speeds by providing a steady stream of new characteristics and fixing bugs through the most appropriate delivery mechanism.

In the business world, being “agile” involves more than just being able to create flashy new features. Agile teams can boost feedback throughout the development process, eliminate waste and obstacles, and ensure that their code is fully testable.

With the help of AI, DevOps teams may improve their software development processes across the board: testing, coding, releasing, and monitoring. Artificial intelligence (AI) can improve automation, problem detection and resolution times, and group dynamics.

DevOps is a set of practices that encourages the adoption of an agile mentality across a wide range of software development and operations processes. The phrases “continuous integration,” “continuous delivery,” “communication,” “automation,” and “management” all spring to mind when talking about DevOps.

Due to its capacity to enhance test coverage, automation testing can yield superior findings. Only a subset of possible hardware configurations and operating systems may be tested manually. However, much more can be covered by automated testing. As a result, we can catch errors more effectively.

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