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Non-Profit
Asia Pacific
Enterprise/Public Sector
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"Despite the challenging requirements and tight time frame, the team at Kartu Prakerja were able to launch the app on time with the help of Alibaba Cloud. With a local data center in Indonesia since early 2018, Alibaba Cloud's familiarity with the region was also well suited for the team's needs."
About Kartu Prakerja
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Challenge
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Why Alibaba Cloud
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Architecture
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Kartu Prakerja is using multiple products and services from Alibaba Cloud to support their application:
- From the initial point, Prakerja uses Alibaba Cloud CDN and Server Load Balancer (SLB) to eventually continue the requests to the application server;
- The server that is being served initially by Kong cluster servers for API Gateway purposes, is quickly being relayed to the core application servers, which leverages Alibaba Cloud Kubernetes (ACK) and Auto Scaling to be able to produce efficient code and scale according to market needs;
- Kartu Prakerja also uses multiple network products, from VPC and security groups to manage and secure their network, NAT Gateway to let internal applications to access the internet, and VPN Gateway to allow connectivity and redundancy to external endpoint;
- One of the things that we can highlight is also the usage of Express Connect as the physical link connectivity to Dukcapil (Population and Civil Registration Agency). This allows them to establish secure and stable connectivity while enjoying low latency connectivity to external applications and secure the approval.
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Prakerja is utilizing multiple data storage services in Alibaba Cloud such as:
- Object Storage Service (OSS) is being used to store their flat file documents. TBs of data is being stored there securely and durably;
- ELK stack is being used for one-data perspective for Kartu Prakerja business. Unstructured big data is being stored and queried in this stack;
- On the database level, both PostgreSQL and MySQL are being used for different purposes and applications, while some of the frequently access data are cached in Redis.
- For data warehouse perspective, Kartu Prakerja is using Alibaba Cloud's Data Transmission Service (DTS) to copy the data from multiple sources to AnalyticDB PostgreSQL (ADB). This has helped to improve their data analysis per query from more than 15 minutes to less than 1 minute.
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Looking Forward
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