Intelligent Engineering Automation

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Across industries, enterprises are resorting to intelligent automation for transforming IT systems to respond swiftly to business needs while maintaining standard service continuity.

Several factors drive the engineering automation market today:

  • Accelerate digital transformation with Agile & DevSecOps practices
  • Enable institutionalization of automated release engineering through continuous integration, testing, and deployment
  • Adopt application reliability practices from engineering to post-production by doing shift left of SRE
  • Improve quality, availability, and time to market through self-sustaining end-to-end SDLC automation with service virtualization and test data and environment management
  • Ensure consistency and scalability of lower environments through automated provisioning leveraging DevSecOps tools and technologies
  • Enable automated decision making and governance by leveraging smart engineering platforms that harness AI/ML capabilities