Lix Solves Cassandra, Postgres, and Elasticsearch Ops on Kubernetes to Build World’s Best Study Experience
公司规模
SME
地区
- Europe
- America
国家
- Denmark
- Norway
- Sweden
- United Kingdom
- United States
产品
- Portworx Enterprise
- Kubernetes
- Docker
- Cassandra
- Postgres
技术栈
- Kubernetes
- Docker
- Cassandra
- Postgres
- Elasticsearch
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Cost Savings
技术
- 基础设施即服务 (IaaS) - 云计算
- 应用基础设施与中间件 - 数据库管理和存储
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 教育
适用功能
- 商业运营
用例
- 过程控制与优化
- 预测性维护
服务
- 系统集成
- 云规划/设计/实施服务
关于客户
Lix is a study platform primarily targeted at university students. It offers students the opportunity to purchase their books at a cheaper rate than traditional shops and provides a platform for collaboration. The company was founded in Denmark about three years ago and has since expanded to the United Kingdom, Holland, Norway, and Sweden. They are also expanding into the US market. The platform is made up of various services, including a service that converts books from publishers into an internal format and a main backend that handles all the business logic.
挑战
Lix, a study platform for university students, was looking for a way to improve their platform's responsiveness and speed. They wanted to use containers to build a high-quality platform, but they faced challenges in running and managing data services like Elasticsearch, Cassandra, and Postgres in containers. Initially, they manually managed node labels for these services, which was time-consuming and prone to errors. Moreover, when a machine failed, they lacked the ability to temporarily move the Cassandra pod to another machine while the cluster recovered.
解决方案
Lix decided to leverage Kubernetes to provide an environment that easily scales with the growth of their platform. They also chose to use Portworx Enterprise for cloud-native storage and data management. Portworx allowed Lix to automate their containers without sacrificing performance. It also increased their operational efficiency by automatically handling common failures that occur in a dynamic server environment, such as server failures and network partitions. This allowed the Lix team to focus more on improving the software running on the platform and less on fixing the platform itself.
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