Website Engine Migration for Octopus
Helping Octopus Ventures switch from Google App Engine to WordPress, enabling faster, more stable releases and a maintainable, reusable web architecture for long-term growth.
• Back-End Development
• Front-End Development
• Quality Assurance
• WordPress Engine & PHP
• AJAX & JavaScript
• HTML/CSS
- Team Lead
- Tech Lead
- Solution Architect
- Project Manager
- 2 Back End Developers
- Manual QA Specialist
- Automation QA Specialist
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About the Client
Octopus Ventures is one of Europe’s largest venture capital teams, with headquarters in London and New York, has partners in San Francisco, Singapore, and China, dedicated to helping entrepreneurs scale their businesses globally.
Challenge
• Rapid product growth required consistent data synchronization across eight independent web systems.
• Existing Google App Engine setup hindered maintainability, release speed, and standardized processes.
Solution
In-Depth Analysis
Reviewed all eight production sites to assess complexity and design a generic, reusable WordPress-based framework.
Link & Backend Update
Migrated and updated all existing Google App Engine links and endpoints in the back end architecture, ensuring seamless compatibility with the new WordPress framework.
Collaborative Expansion
Following the migration, KnubiSoft built two additional sites using the established structure, applying technical expertise to showcase the framework’s flexibility and reuse potential, enhancing overall user experience.
Streamlined Release Management
Implemented best-practice SDLC workflows across multiple environments, standardizing release pipelines to ensure consistent quality and minimize deployment risks.
Business
Value
Delivered a unified WordPress framework with generic functionality, enabling Octopus Ventures to self-manage site creation and updates with minimal effort, ensuring a scalable and cost-efficient solution.
Established a streamlined, multi-environment release methodology, accelerating rollouts, preserving quality, and reducing operational overhead through automated deployment pipelines and SDLC workflows.
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