Detecting Architectural Gaps with Automation

Categories: MicroservicesDigital TransformationArchitectureAutomotiveCommunicationsConsumer and RetailFinancial ServicesHealthcareManufacturing and IndustrialMediaTechnology

Architectural drift and erosion in software development can seriously impact the business and go-to-market strategy, causing delays, decreased quality, and even product failure. Companies must have processes and workflows in place to detect architectural gaps but historically, those manual checks have been time consuming and prone to human error.

In this paper, we explore the different types of manual architecture review and propose automated alternatives to reduce the time and resources required even while producing better outcomes. You’ll learn:

  • What architecture drift and erosion are, and how they impact the business.
  • How dependency analysis, peer reviews, and other manual inspections work.
  • Why even though they catch issues not prevented through the application of best practice good architecture governance, manual reviews are not the ideal solution.
  • Specific considerations to keep in mind around compliance, data security, DevOps, and more when evaluating architecture review solutions.
  • What automating architecture checks may look like in a series of example use case scenarios.

Author

Author

Dmytro Nikulin

Lead Software Engineer

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