Alibaba Cloud Commercial and Professional Services Singapore

Glints

Application Refactoring · Document Processing · Real-time Analytics

In its early stages, the absence of unified planning and architectural design led to the use of multiple cloud providers. As the business scaled rapidly, the system began to face performance bottlenecks, reduced reliability, and a sharp increase in infrastructure and maintenance costs.

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Reported impact

Business outcome

After consolidating and migrating its cloud infrastructure to Alibaba Cloud, Glints achieved over 100% improvement in per-capita service cost efficiency. By leveraging Alibaba Cloud’s infrastructure and native services, Glints replaced multiple high-cost third-party solutions, including chat systems, data analytics, data warehousing, and email delivery, resulting in substantial infrastructure cost reductions. Furthermore, API latency decreased by more than 50% , significantly improving user experience. Built as a foundation model for enterprise use, Qwen supports capabilities such as job content generation, document understanding, and multilingual language processing, helping Glints streamline recruiter-facing tasks while maintaining consistency and control across the platform.

Solution

Glints used Alibaba Cloud to address In its early stages, the absence of unified planning and architectural design led to the use of multiple cloud providers. As the business scaled rapidly, the system began to face performance bottlenecks, reduced reliability, and a sharp increase in infrastructure and maintenance costs. Glints is a talent recruitment and career development platform that connects job seekers and employers through technology and services. It has grown into one of Southeast Asia’s leading career development and recruitment platforms, serving millions of job seekers and tens of thousands of companies across multiple countries in the region. Today, Glints is widely recognized as a trusted recruitment ecosystem. Alibaba Cloud provides extensive data center coverage across Southeast Asia, backed by robust local capabilities that ensure high system reliability.

Data flow

Glints's workloads and source data are processed on Qwen, Elastic Compute Service (ECS), E-MapReduce (EMR), Container Service for Kubernetes (ACK) persist to ApsaraDB RDS, Tair (Redis® OSS-Compatible).

Solution architecture

7 components · 4 layers

Compute
- Qwen Integrated Alibaba’s Qwen large language model to support intelligent automation across
- Elastic Compute Service (ECS) Built on an Elastic API service cluster using Elastic Compute Service (ECS) and Container Service for Kubernetes (ACK) to support external-facing
- E-MapReduce (EMR) Implemented a big data processing platform based on E-MapReduce (EMR) , reducing operational complexity and enabling efficient large-scale data
Storage
- ApsaraDB RDS Leveraged ApsaraDB RDS , Elasticsearch , Tair , and Object Storage Service (OSS) to deliver cost-efficient solutions for databases, indexing, caching, and file
- Tair (Redis® OSS-Compatible) Leveraged ApsaraDB RDS , Elasticsearch , Tair , and Object Storage Service (OSS) to deliver cost-efficient solutions for databases, indexing, caching, and file
Orchestration
- Container Service for Kubernetes (ACK) Built on an Elastic API service cluster using Elastic Compute Service (ECS) and Container Service for Kubernetes (ACK) to support external-facing
Uncategorized
- Object Storage Service (OSS) Leveraged ApsaraDB RDS , Elasticsearch , Tair , and Object Storage Service (OSS) to deliver cost-efficient solutions for databases, indexing, caching, and file

Architecture clues

Built on an Elastic API service cluster using Elastic Compute Service (ECS) and Container Service for Kubernetes (ACK) to support external-facing services
Integrated Alibaba’s Qwen large language model to support intelligent automation across workflows
Primary customer region: Singapore
Qwen has helped Glints make hiring easier for employers by:

Evidence from the source

As the business scaled rapidly, the system began to face performance bottlenecks, reduced reliability, and a sharp increase in infrastructure and maintenance costs.

Built on an Elastic API service cluster using Elastic Compute Service (ECS) and Container Service for Kubernetes (ACK) to support external-facing services.

Glints unified its infrastructure under a single cloud provider, offering reliable, scalable and high-performance services, strong security controls, responsive technical support, and a broad ecosystem of solutions that simplify operations, reduce costs, and support continued business growth.

In its early stages, the absence of unified planning and architectural design led to the use of multiple cloud providers.

Leveraged ApsaraDB RDS , Elasticsearch , Tair , and Object Storage Service (OSS) to deliver cost-efficient solutions for databases, indexing, caching, and file storage.

Transparency Evidence & methodology 70/100 reference value · 77% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value70/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact0/25
0 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence77%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability21/25
10 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance0/10
The publication date has no documented provenance.
Source transparency8/10
1 source reference document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity8/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Alibaba Cloud
Glints customer story

First-party
https://www.alibabacloud.com/customers/glints

Source type
Vendor-published customer story
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes

Date evidence

First archived Jan 13, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
Open date source

Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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