商汤云平台开发工程师，云监控
社招全职后端开发地点：北京状态：招聘
工作描述
任职要求 1.具备扎实的后端开发能力，熟悉 Go，或熟练掌握至少一种主流后端开发语言。 2.熟悉服务端架构和常见设计模式，具备高并发、高性能后端服务的设计与开发经验。 3.理解分布式系统基础，包括并发、缓存、消息队列、存储、数据一致性和服务治理等。 4.熟悉 Kubernetes 及云原生技术体系，具备容器、Kubernetes、ServiceMonitor、PodMonitor 等实际使用经验。 5.熟悉或了解以下一种或多种可观测性组件及其工作原理：OpenTelemetry、Prometheus、VictoriaMetrics、Alertmanager、Grafana。 6.熟悉 …
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包括英文材料
后端开发+
https://www.youtube.com/watch?v=tN6oJu2DqCM&list=PLWKjhJtqVAbn21gs5UnLhCQ82f923WCgM
Learn what technologies you should learn first to become a back end web developer.
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。
设计模式+
https://liaoxuefeng.com/books/java/design-patterns/index.html
设计模式，即Design Patterns，是指在软件设计中，被反复使用的一种代码设计经验。使用设计模式的目的是为了可重用代码，提高代码的可扩展性和可维护性。
[英文] Design Patterns
https://refactoring.guru/design-patterns
Design patterns are typical solutions to common problems in software design. Each pattern is like a blueprint that you can customize to solve a particular design problem in your code.
https://www.youtube.com/watch?v=NU_1StN5Tkk
Design Patterns tutorial explained in simple words using real-world examples.
高并发+
https://www.baeldung.com/concurrency-principles-patterns
In this tutorial, we’ll discuss some of the design principles and patterns that have been established over time to build highly concurrent applications.
https://www.baeldung.com/java-concurrency
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
https://www.oreilly.com/library/view/concurrency-in-go/9781491941294/
You’ll understand how Go chooses to model concurrency, what issues arise from this model, and how you can compose primitives within this model to solve problems.
https://www.oreilly.com/library/view/modern-concurrency-in/9781098165406/
With this book, you'll explore the transformative world of Java 21's key feature: virtual threads.
https://www.youtube.com/watch?v=qyM8Pi1KiiM
https://www.youtube.com/watch?v=wEsPL50Uiyo
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
消息队列+
https://www.youtube.com/watch?v=xErwDaOc-Gs
服务治理+
https://cloudnativecn.com/blog/istio-traffic-management-series-service-management-concept-theory/
通过阅读本文读者可以初步理解 Istio 流量治理的概念和相关知识框架。
https://juejin.cn/post/6844904006033080334
服务治理主要包括服务发现、负载均衡、限流、熔断、超时、重试、服务追踪等。我们今天要讲的，就是服务发现的内容。
Kubernetes+
https://kubernetes.io/docs/tutorials/kubernetes-basics/
This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.
https://kubernetes.io/zh-cn/docs/tutorials/kubernetes-basics/
本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息，还包括一个在线教程供你学习。
https://www.youtube.com/watch?v=s_o8dwzRlu4
Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners
https://www.youtube.com/watch?v=X48VuDVv0do
Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos
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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