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Testing In DevOps in DevOps

Testing In DevOps in DevOps

$251.00
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Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Testing In DevOps in DevOps course cover?

Testing In DevOps in DevOps is covered here in 8 modules: Integrating Testing into Continuous Integration Pipelines, Test Environment Provisioning and Management, Test Data Strategy and Governance and 5 more. The outline lists 48 specific topics, opening with selecting which test suites to execute on every code commit based on execution time and failure impact.

How do you approach Testing In DevOps in DevOps step by step?

The work is sequenced in 8 stages. It starts with Integrating Testing into Continuous Integration Pipelines, moves through Test Environment Provisioning and Management and Test Data Strategy and Governance, and ends at Monitoring Test Effectiveness and Feedback Loops. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Testing In DevOps in DevOps course?

Module 1 is Integrating Testing into Continuous Integration Pipelines. It works through selecting which test suites to execute on every code commit based on execution time and failure impact., configuring parallel test execution across multiple agents to reduce feedback cycle duration., managing test artifacts and logs in CI systems to support debugging without overwhelming storage. and 3 more.

How is the Testing In DevOps in DevOps course delivered?

The Testing In DevOps in DevOps course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Testing In DevOps in DevOps course cost?

The Testing In DevOps in DevOps course is $251 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Load Testing in DevOps, Software Testing in DevOps, Automated Testing in DevOps, Performance Testing in DevOps.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the design and operationalization of testing practices across a DevOps lifecycle, comparable in scope to a multi-workshop program that integrates CI/CD pipeline engineering, environment and data governance, cross-team contract coordination, and security and performance validation at the scale of an internal platform team’s rollout.

Module 1: Integrating Testing into Continuous Integration Pipelines

  • Selecting which test suites to execute on every code commit based on execution time and failure impact.
  • Configuring parallel test execution across multiple agents to reduce feedback cycle duration.
  • Managing test artifacts and logs in CI systems to support debugging without overwhelming storage.
  • Handling flaky tests by implementing quarantine mechanisms and defining thresholds for automatic failure.
  • Integrating static analysis tools with unit and component tests to enforce code quality gates.
  • Designing pipeline triggers that balance rapid feedback with resource utilization across branches.

Module 2: Test Environment Provisioning and Management

  • Automating environment spin-up using infrastructure-as-code to mirror production configurations.
  • Resolving dependency conflicts when multiple teams share limited staging environments.
  • Implementing environment versioning to ensure test reproducibility across deployment cycles.
  • Managing database schema and dataset synchronization across ephemeral test environments.
  • Enforcing cleanup policies to prevent resource leakage in dynamically provisioned environments.
  • Coordinating environment access permissions across development, QA, and operations teams.

Module 3: Test Data Strategy and Governance

  • Generating synthetic test data to avoid using production data while maintaining realism.
  • Masking sensitive fields in production data copies to comply with privacy regulations.
  • Version-controlling test datasets to align with application release timelines.
  • Managing data refresh cycles to prevent test brittleness due to stale references.
  • Designing data reset mechanisms for stateful systems between test runs.
  • Allocating data subsets to specific test suites to reduce contention and improve isolation.

Module 4: API and Contract Testing in Microservices

  • Defining contract ownership and change approval workflows between service teams.
  • Implementing consumer-driven contracts to detect breaking changes before deployment.
  • Choosing between in-memory service virtualization and external mocking tools for dependencies.
  • Integrating contract tests into service build pipelines without introducing bottlenecks.
  • Handling versioned APIs in test suites to support backward compatibility validation.
  • Monitoring contract test pass rates across environments to detect integration drift.

Module 5: Performance and Load Testing in CI/CD

  • Determining baseline performance thresholds that trigger deployment blocks.
  • Executing load tests in pre-production environments with production-like traffic profiles.
  • Isolating performance regressions to specific code changes using historical benchmark comparison.
  • Managing infrastructure costs by scheduling load tests during off-peak resource windows.
  • Integrating performance metrics into observability dashboards for long-term tracking.
  • Validating autoscaling behavior under test loads in cloud-native environments.

Module 6: Security Testing Integration

  • Embedding SAST and SCA tools into pull request workflows with configurable severity filters.
  • Managing false positives in security scans by tuning rule sets per application risk profile.
  • Scheduling dynamic application security testing (DAST) scans during nightly builds.
  • Coordinating penetration test findings with development backlogs without blocking pipelines.
  • Enforcing dependency vulnerability checks against internal policy repositories.
  • Integrating secrets detection tools to prevent credential exposure in code commits.

Module 7: Test Automation Framework Design and Maintenance

  • Selecting page object or component-based design patterns based on UI framework complexity.
  • Managing test framework versioning across multiple projects with varying tech stacks.
  • Refactoring test code to reduce duplication while preserving readability for non-developers.
  • Implementing custom reporting modules to integrate with enterprise monitoring systems.
  • Defining ownership and contribution models for shared test libraries across teams.
  • Deprecating obsolete test cases based on feature usage and code coverage analysis.

Module 8: Monitoring Test Effectiveness and Feedback Loops

  • Calculating escaped defect rates to assess test coverage gaps in production.
  • Tracking mean time to detect (MTTD) and mean time to repair (MTTR) for test-related failures.
  • Correlating test pass rates with deployment success to identify weak validation points.
  • Using code coverage data to prioritize test investment in high-risk modules.
  • Conducting root cause analysis on production incidents to update test strategies.
  • Establishing feedback channels from operations teams to refine non-functional test criteria.
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