一周好文推荐

这是一个新的尝试，分享这一周遇到的好文章和简要的评论。

• Prometheus 和 Flink 搭配使用 https://flink.apache.org/features/2019/03/11/prometheus-monitoring.html
• Lyft的Airflow使用 https://eng.lyft.com/running-apache-airflow-at-lyft-6e53bb8fccff?gi=e2c9e0298b4f
• 事件驱动架构的七个戒条 https://rjzaworski.com/2019/03/7-commandments-for-event-driven-architecture
• 日志结构化的重要性 https://engineering.grab.com/structured-logging
• 基于Python的ETL工具，通过配置yml文件 http://tamaszilagyi.com/blog/2019/2019-03-05-dbt/
• kafka connect的错误处理 https://www.confluent.io/blog/kafka-connect-deep-dive-error-handling-dead-letter-queues
• spark的join种类 https://medium.com/@achilleus/https-medium-com-joins-in-apache-spark-part-3-1d40c1e51e1c
• cockroach关于geo-partitioning or archival partitioning的讨论 https://www.cockroachlabs.com/blog/geo-partitioning-two/?utm_campaign=Data%20Localization&utm_source=hs_email&utm_medium=email&utm_content=70764401&_hsenc=p2ANqtz-9xOnlxhK_vO4P2VHRhpmNWwLBBiGPoGcpdfZSPdaadxOYhJiJWMI0ub2jNj09JAB8piR-4YfNV8hg5bUilHDqxtjMyMw&_hsmi=70764401
• 数据库迁移工具 https://dbaplus.cn/news-11-1176-1.html
• Python Lambda函数介绍 https://www.pythonforthelab.com/blog/intro-to-python-lambda-functions/
• 使用Pytype检测Python类型错误 https://medium.freecodecamp.org/how-to-quickly-find-type-issues-in-your-python-code-with-pytype-c022782f61c3
• 如何将算法转换为代码 http://www.silkehenderickx.be/posts/internship/algorithmtocode/