This Week in Engineering : Pre- Black Friday Edition
Constructor’s benefits are only as good as our uptime and performance. For this reason, we have robust standards around both. During the holiday season and the peak demand period of Black Friday and Cyber Monday, we increase our standards out of recognition that it is the most important selling period for many of our customers.
Over the past year we worked continuously to drive even better performance and scalability, contributing to improved latencies and zero downtime. We tested scaling to 2000% of current average daily traffic volume. We used chaos testing to validate that catastrophic failure of the following supporting infrastructure does not impact critical features. And on top of that from Black Friday through to Cyber Monday we:
- Freeze all deployments except for the most critical fixes
- Over-provision all infrastructure above and beyond typical scale-out policy
- Double our on call rotations for automated alerts
- Enter a state of elevated monitoring of all services
We take uptime and performance very seriously because the best conversion optimization and machine learning are moot if we do not deliver fast and stable service consistently. Please feel free to reach out to your Customer Success Manager if you have any further questions.
And now for the updates! What’s new this week from Engineering at Constructor? We’ve been cooking up more than a few things. In fact we’ve made lots and lots, with some powdered freeze dried lots sprinkled on top. In addition to improving platform uptime and performance, smushing various minor bugs, and helping customers, we also:
- Added more data points to our core analytics platform for future merchant analytics needs
- Improved dashboards and monitoring of internal services in advance of Black Friday
- Experimented with running internal services on ARM based architectures for improved performance
- Added support for ingesting product catalogs directly from Salesforce using cartridges
- Prepared several tests to be run at a later date for various product ranking models
- Added facet to facet filters for recommendations
- … and tested a new backfilling approach for complementary recommendations
~ Engineering at Constructor.