DevOps Engineering

Quality and Performance Engineering

DevOps Quality and Performance Engineering

Why Quality Assurance Matters?

Quality Assurance (QA) activities should begin concurrently with development, after the first project requirements have been defined. The creation of test plans and extensive continuous testing are both phases of the quality assurance process. Stabilisation, regression, and post-deployment testing must be completed at the conclusion of each stage.

Quality assurance engineers are internal product owners and have the necessary understanding of the system, which ensures full testing and development team expertise.



Mission, objectives, and testing procedures


Actual progress against the plan.

Analysis and Design

Test activities are transformed into test conditions and test scenarios using the plan's acceptance criteria to guide the creation and ranking of test scenarios

Implementation and Execution

  • Manual Test Implementation
  • Automated test scripts Development
  • Maintenance of Test environment
  • Recording test execution outcomes
  • Repeating test activities after taking action in response to each discrepancy

Exit Criteria Evaluation and Reporting

  • Review failed tests and either file a bug report or amend the test
  • Testing closure procedures
  • Collecting information from test activities to combine test results, facts, and figures

All QA tasks are repeated for system releases and maintenance releases at project milestones.

DevOps Engineering experts ensure the following when performing QA:

  • All key functions have test coverage that is almost or equivalent to 100%
  • The modifications had no impact on current functionality
  • System performance is in line with the requirements
  • System throughput is not diminished and there is sufficient capacity for expansion
  • Comprehensive testing will be incorporated into all development phases

QA Metrics

The QA team provides detailed information on the quality of the developing solution so that management can make important decisions. Metrics from all QA-related areas are available to management. The four types of KPIs for functional testing that DevOps Engineering commonly use in projects are as follows:

Automated Testing Metrics

This measure shows the effectiveness of the implemented automated testing procedure, as well as associated tasks and artefacts, in the past, present, and future. It may also be distinguished as user test automation and integration or system test automation.

Test Case Metrics

Test case execution indicators reflect testing progress by showing the percentage of test cases executed with a pass, fail, or blocked result. Test case pass rate indicates how many tests have passed, grouped by test type, phase tested, and/or functional area.

Defect Metrics

Trend analysis assesses the effectiveness of testing and the status of defect resolution by showing the number of open or unsolved defects by date. Defects by severity refers to the number of defects categorised by degree of severity. The quantity of defects at each stage reveals the effectiveness of the solution.

Requirements Metrics

Show the proportion of tests that have at least one corresponding prerequisite. The level of test coverage for the requirements is determined by this statistic.

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