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MessageBird's Transformation with ClickHouse: A Case Study on Enhanced Performance and Cost Efficiency
技术
- 应用基础设施与中间件 - 数据库管理和存储
- 基础设施即服务 (IaaS) - 云存储服务
适用行业
- 水泥
- 建筑与基础设施
适用功能
- 物流运输
- 维护
用例
- 行为与情绪追踪
- 实时定位系统 (RTLS)
服务
- 云规划/设计/实施服务
挑战
MessageBird 是一个云通信平台,为超过 29,000 名客户处理数十亿条消息、电话和电子邮件。该公司严重依赖数据驱动的洞察来实现高效运营,分析后端 ClickHouse 自 2017 年以来发挥着至关重要的作用。然而,由于可扩展性和延迟问题,MessageBird 在 MySQL 上的初始设置面临着挑战。该公司需要一种能够处理大量数据摄取、提供较短响应时间并支持面向客户的仪表板和 API 的实时分析的解决方案。此外,该公司还需要一个能够监控短信发送性能并及时识别异常情况的系统。我们面临的挑战是找到一种既能满足这些需求又具有成本效益的解决方案。
关于客户
MessageBird 是一个云通信平台,通过无缝的上下文对话将企业和客户连接起来。该公司为超过 29,000 名客户处理数十亿条消息、电话和电子邮件,这使其在很大程度上依赖于数据驱动的洞察来实现高效运营。 MessageBird 的服务包括实时分析、性能监控以及面向客户的仪表板和 API。该公司致力于效率和创新,并不断寻求改进其服务并管理不断增长的数据量。向 ClickHouse Cloud 的过渡证明了这一承诺,因为它使该公司能够处理高摄取流量、节省成本并增强其服务交付。
解决方案
MessageBird 于 2017 年采用了 ClickHouse,从 MySQL 过渡到克服可扩展性和延迟挑战。为了进一步扩展其服务并管理不断增长的数据量,MessageBird 从自我管理的本地解决方案迁移到 ClickHouse Cloud。这种转变是由对更具可扩展性、弹性和高效的数据基础设施的需求推动的,并且受到成本考虑的显着影响。迁移到 ClickHouse Cloud 带来了显着的好处,包括从 SSD 存储转向更经济的 S3 存储而节省了大量成本。此外,由于 S3 的数据存储成本较低,在 ClickHouse 中使用 Projections 变得更具成本效益。 ClickHouse Cloud 中的 MessageBird 架构集成了多种现代云技术,包括 Google Pub/Sub、在 Google Cloud Dataflow 上运行的 Apache Beam 管道以及用于低延迟和高吞吐量查找查询的 BigTable。
运营影响
数量效益
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