快手监控平台资深研发工程师-【北京】
社招全职5年以上D5618地点：北京状态：招聘
任职要求
1、计算机、通信等相关专业本科以上学历，5年以上工作经验； 2、熟练掌握Golang/Java/rust中一种语言开发，良好的编码习惯，严谨的程序开发态度，代码稳定可靠； 3、熟悉分布式存储系统或者大数据存储开发经验者优先； 4、熟悉flink，spark，influxdb，ClickHouse，Hbase 等存储/计算框架优先； 5、熟悉一种商业或者开源可观察性产品，例如opentelemetry，promethus，arms优先； 6、有互联网后端、存储，系统化的分析和设计能力； 7、对技术有强烈的进取心，具有良好的沟通能力和团队合作精神，优秀的分析问题和解决问题的能力优先。
工作职责
1、负责快手监控系统的设计和开发工作； 2、可观测性平台研发，包括metrics、tracing和logging的采集、聚合、分析、存储，构建一站式可观测性平台； 3、能够深入理解产品和业务，研究和探索创新的开发思路和前沿技术，应用到系统开发中，不断的推动产品升级。
包括英文材料
学历+
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程！从开始到结束不到一个小时，包括如何在Go中构建API的完整演示。没有多余的内容，只有你需要知道的知识。
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
Rust+
https://www.youtube.com/watch?v=BpPEoZW5IiY
In this comprehensive Rust course for beginners, you will learn about the core concepts of the language and underlying mechanisms in theory.
https://www.youtube.com/watch?v=lzKeecy4OmQ
Full Rust 101 Crash Course for beginners.
https://www.youtube.com/watch?v=rQ_J9WH6CGk
编程规范+
[英文] Google Style Guides
https://google.github.io/styleguide/
Every major open-source project has its own style guide: a set of conventions (sometimes arbitrary) about how to write code for that project. It is much easier to understand a large codebase when all the code in it is in a consistent style.
大数据+
https://www.youtube.com/watch?v=bAyrObl7TYE
https://www.youtube.com/watch?v=H4bf_uuMC-g
With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.
Flink+
https://nightlies.apache.org/flink/flink-docs-release-2.0/docs/learn-flink/overview/
This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.
https://www.youtube.com/watch?v=WajYe9iA2Uk&list=PLa7VYi0yPIH2GTo3vRtX8w9tgNTTyYSux
Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.
Spark+
[英文] Learning Spark Book
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.
InfluxDB+
https://docs.influxdata.com/influxdb/v2/get-started/
collect, store, process and visualize time series data.
https://www.youtube.com/watch?v=XloH_0G2IzA
This is short video going over getting started with InfluxDB.
ClickHouse+
[英文] Advanced Tutorial
https://clickhouse.com/docs/tutorial
Learn how to ingest and query data in ClickHouse using the New York City taxi example dataset.
https://www.youtube.com/watch?v=FtoWGT7kS-c
ClickHouse is an open-source column-oriented DBMS for online analytical processing that allows users to generate analytical reports using SQL queries in real-time.
https://www.youtube.com/watch?v=Rhe-kUyrFUE&list=PL0Z2YDlm0b3gcY5R_MUo4fT5bPqUQ66ep
HBase+
[英文] HBase Tutorial
https://www.tutorialspoint.com/hbase/index.htm
HBase is a data model that is similar to Google's big table designed to provide quick random access to huge amounts of structured data. This tutorial provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell.
OpenTelemetry+
https://logz.io/learn/opentelemetry-guide/#overview
Every journey in Observability begins with instrumenting an application to emit telemetry data – primarily logs, metrics and traces – from each service as it executes.
[英文] Getting Started
https://opentelemetry.io/docs/languages/go/getting-started/
This page will show you how to get started with OpenTelemetry in Go.
https://www.youtube.com/watch?v=hLvwoow3XTk
OpenTelemetry can help, with its powerful capabilities for monitoring and analyzing hybrid applications, including collecting and analyzing telemetry data, metrics, and traces.
https://www.youtube.com/watch?v=Txe4ji4EDUA
In the observability space, the project making this possible is OpenTelemetry.
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