技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 建筑物
- 水泥
适用功能
- 产品研发
- 质量保证
用例
- 楼宇自动化与控制
- 时间敏感网络
服务
- 系统集成
- 测试与认证
关于客户
Synq 是一个数据可观测平台,可分析来自复杂数据生态系统的日志级数据。它是一个大型日志处理引擎,可以从数十个系统中摄取和处理数据。该平台旨在提供与 ClickHouse 集群的深度集成,具有检测延迟数据加载和发现隐藏数据异常的功能。它还提供自动创建的数据沿袭和用于管理数据质量的工具。 Synq 为 Typeform、Instabee 和 LendInvest 等公司的团队提供服务,帮助他们监控云数据堆栈。
挑战
Synq 是一个数据可观察性平台,面临着管理为其软件系统提供支持的复杂性、多样性和不断增加的数据量的挑战。该公司需要将运营和分析需求合并到一个统一的数据平台中。他们正在处理来自数十个系统的连续数据流,当客户运行大型批处理作业或新客户加入时,数据量会频繁爆发。该公司为回填数据设定了雄心勃勃的性能目标,并希望在客户使用产品时立即为他们提供价值。他们还希望有一个基础设施能够为其第一组定义的用例提供服务,并提供快速支持新用例的功能。最后,他们的目标是构建一个单一平台,可以存储原始日志数据,并充当应用程序和 API 所需的大多数数据用例的服务层。
解决方案
Synq 在 ClickHouse(一种高性能的面向列的数据库管理系统)中找到了应对挑战的解决方案。经过几天的测试,他们发现 ClickHouse 每秒可以摄取数万行,创建特定于查询的数据模型,并在高摄取负载下保持一致的读取查询性能。为了让整个开发团队专注于平台的研发,他们与 ClickHouse Cloud 合作。他们使用官方维护的 Go 客户端 clickhouse-go 构建了一个可靠的摄取系统。他们还利用 ReplacingMergeTree 表引擎来处理重复事件。为了优化性能,他们创建了专门的表,将原始日志数据转换为针对查询优化的格式。他们还使用流行的数据转换框架 dbt 来创建审计表,以提取有关其日志数据的汇总统计信息。最后,他们使用 ClickHouse 集群作为许多其他用例的骨干,包括应用内分析。
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