What challenges did myTV SUPER face before AI implementation?

Managing diversified large-scale data with high storage cost and complex operations. Infrastructure issues for hot/cold data splitting. Lack of advanced data management for data transfer, capture, conversion, and interception for faster analytics and application development.

What was the impact of the AI solution?

Storage costs were reduced by over 20%. The company enabled online and real-time analysis. Operational efficiency and decision-making improved.

Source

AlibabaProductionEvidence: Medium65/100

myTV SUPER uses Alibaba Cloud databases for hot/cold data management and real-time analytics

Use case typeReal-time analyticsUpdated Jan 1, 2024

myTV SUPER, the OTT platform of Television Broadcasts Limited in Hong Kong, uses Alibaba Cloud database products to manage diversified large-scale data with lower storage cost and less operational complexity. The solution combines PolarDB, AnalyticDB for MySQL, Data Transmission Service (DTS), and Tair to support hot/cold data separation, continuous data replication, migration, and real-time analytics for advertising and operations.

Organization: myTV SUPER
Industry: Tech & Comms
Location: Hong Kong
Published: January 2024

Reported outcomes

−20%

storage cost reductionCost savings

Strategic outcomes

Cost efficiencyReduced storage operating costsSpeed & agilityEnabled online and real-time analysisBetter decisions & insightImproved operational efficiency and decision-making

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Storage cost reduction: 20% decrease

Alibaba CloudJan 1, 2024Customer storyExplicit claimMedium evidence strength

significantly reduced myTV SUPER’s storage costs by over 20%

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: myTV SUPER, Television Broadcasts Limited (TVB)
Provider: Alibaba
Maturity: Production
Linked source: Alibaba Cloud

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Real-time analytics
2Data platform modernization

Managing diversified large-scale data with high storage cost and complex operations.
Infrastructure issues for hot/cold data splitting.
Lack of advanced data management for data transfer, capture, conversion, and interception for faster analytics and application development.

Built an architecture using PolarDB for elastic scaling and stable handling of traffic surges.
Used AnalyticDB for MySQL for terabyte-scale analytics and hot-cold separation at the storage level.
Used Data Transmission Service (DTS) for continuous replication, migration, and synchronization across data engines.

Technologies

PolarDB AnalyticDB for MySQL Data Transmission Service (DTS)Tair (Redis OSS-compatible)

Storage costs were reduced by over 20%.
The company enabled online and real-time analysis.
Operational efficiency and decision-making improved.

Architecture

myTV SUPER uses Alibaba Cloud's PolarDB as a cloud-native relational database for elastic scaling, AnalyticDB for MySQL for real-time warehousing and hot-cold data segregation, and Data Transmission Service (DTS) for continuous replication, migration, and synchronization across data engines. The page also references Tair (Redis OSS-compatible) among related products.

Sources & evidence1

Evidence: Medium65/100Evidence strength