Ayla Networks Achieves a 67% Reduction in Storage with Rubrik Mosaic
公司规模
Mid-size Company
地区
- America
国家
- United States
产品
- Rubrik Mosaic
- Amazon S3
- Apache Cassandra
技术栈
- AWS
- DataStax Enterprise
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 基础设施即服务 (IaaS) - 云存储服务
- 应用基础设施与中间件 - 数据库管理和存储
适用行业
- Software
- 消费品
适用功能
- 商业运营
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Ayla Networks is a leading Internet of Things (IoT) platform company that provides a number of products that enable customers to quickly connect any device to the cloud and applications and make meaningful decisions from their data. Ayla Networks uses Apache Cassandra database (DataStax Enterprise) for its IoT software-as-a-service (SaaS) application. Consumer appliance manufacturers connect over the internet to Ayla’s IoT SaaS application, which is deployed in the Amazon Web Services (AWS) cloud, and store appliance-specific time-series data.
挑战
Ayla Networks initially implemented a scripted snapshot-based backup and recovery solution but soon realized the drawbacks: lack of scalability, lack of failure resiliency, and storage inefficiency, which prompted Ayla to look elsewhere. Ayla found that using a scripted solution did not work effectively when it experienced node failures in the Cassandra database environment. Moreover, the company had to spend significant manual effort and IT resources to maintain and develop the scripted solution as its Cassandra cluster scaled according to the application needs.
解决方案
Ayla Networks deployed the three-node Rubrik Mosaic cluster across multiple Availability Zones (AZs) in AWS for high availability. The native failure-handling capabilities of Rubrik Mosaic provided Ayla with the ability to back up its database that included the scenario in which one of the database nodes could fail. From a secondary storage perspective, Ayla wanted to use cloud-native Amazon Simple Storage Service (Amazon S3) and minimize the storage costs. Rubrik Mosaic allowed Ayla to reduce its secondary storage cost by roughly 67% while using low-cost Amazon S3 object storage.
运营影响
数量效益
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