Alibaba ACA Cloud Business case studies
Alibaba ACA Cloud Business · Put your knowledge to work in context.
The Alibaba ACA Cloud Business credential is a professional certification offered through Alibaba Cloud's education and certification program, aimed at validating cloud and AI skills with industry-recognized credentials. It suits business-oriented practitioners - presales consultants, solution architects working with commercial stakeholders, product and project managers, and early-career cloud professionals - who need to reason about Alibaba Cloud's portfolio rather than administer individual resources. The Alibaba ACA Cloud Business case studies are 5 cases and about 3,345 words.
1Right-Sizing a Bursty Video Transcoding Pipeline
A media startup runs a video transcoding service that ingests user uploads and produces multiple output renditions. Traffic is highly spiky: roughly 60 uploads per hour on weekdays, but a marketing push every Friday evening drives 900 uploads in a two-hour window.
715 words, about 4 min2Designing Storage Tiers for a Growing Photo Archive
A photography SaaS stores customer image libraries. Total volume is 400 TB and growing ~15 TB/month.
696 words, about 3 min3Migrating a Monolith with a Hard Cutover Deadline
A retailer runs a 12-year-old Java monolith on physical servers in a colocation facility. The lease expires in 9 months and will not be renewed.
652 words, about 3 min4Scoping a Retrieval-Augmented Assistant for Support Agents
A SaaS company wants an internal assistant that answers support agents' questions using 8,000 product help articles, 3,000 resolved tickets, and a 400-page policy manual. Agents currently search a wiki and ask senior colleagues.
650 words, about 3 min5Choosing a Database for a Ticketing Platform Under Mixed Load
An events company is building a ticketing platform. Two workloads share the same data: (a) a transactional path where users reserve seats, pay, and receive tickets - this must be strongly consistent and handle 5,000 reservations/minute at a flash-sale peak, with zero double-selling; and (b) an analytics path where the marketing team runs ad-hoc queries over 3 years of sales history to find trends, sometimes scanning tens of millions of rows.
632 words, about 3 min