腾讯腾讯云- 可用性架构师
社招全职5年以上腾讯云技术地点：杭州状态：招聘
工作描述
任职要求 1.计算机相关专业本科及以上学历，5年以上大规模分布式系统架构设计或SRE相关经验； 2.精通中间件：深入理解消息队列（如CKafka/TDMQ）、微服务框架、缓存（如Redis）、配置中心等至少一种中间件的高可用原理与运维实践； 3.精通容量与性能：具备大规模系统的容量规划、性能调优、全链路压测实战经验，能对系统瓶颈进行量化分析与治理； 4.精通容灾架构：具备跨地域、多AZ的容灾方案（如双活、多活）设计与落地经验，熟悉相关数据同步与流量调度技术； 5.精通稳定性体系：对变更管理、监控告警、应急预案、故障复盘有系统性方法论和成功改进案例； 6.熟练掌握Linux系统、网络（TCP/IP, HTTP）及至少一门编程语言（Go/Java/P…
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包括英文材料
学历+
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
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
中间件+
https://www.youtube.com/watch?v=1oWPUpMheGk
消息队列+
https://www.youtube.com/watch?v=xErwDaOc-Gs
微服务+
https://learn.microsoft.com/en-us/training/modules/dotnet-microservices/
Microservice applications are composed of small, independently versioned, and scalable customer-focused services that communicate with each other by using standard protocols and well-defined interfaces.
https://microservices.io/
Microservices - also known as the microservice architecture - is an architectural style that structures an application as a collection of two or more services.
https://spring.io/microservices
Building small, self-contained, ready to run applications can bring great flexibility and added resilience to your code.
https://www.ibm.com/think/topics/microservices
Microservices, or microservices architecture, is a cloud-native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components or services.
https://www.youtube.com/watch?v=CqCDOosvZIk
https://www.youtube.com/watch?v=hmkF77F9TLw
Learn about software system design and microservices.
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
Redis+
[英文] Developer Hub
https://redis.io/dev/
Get all the tutorials, learning paths, and more you need to start building—fast.
https://www.runoob.com/redis/redis-tutorial.html
REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统，是跨平台的非关系型数据库。
https://www.youtube.com/watch?v=jgpVdJB2sKQ
In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.
高可用+
https://redis.io/blog/high-availability-architecture/
A high available architecture is when there are a number of different components, modules, or services that work together to maintain optimal performance, irrespective of peak-time loads.
https://www.ibm.com/think/topics/high-availability
High availability (HA) is a term that refers to a system’s ability to be accessible and reliable close to 100% of the time.
性能调优+
https://goperf.dev/
The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.
https://web.dev/learn/performance
This course is designed for those new to web performance, a vital aspect of the user experience.
https://www.ibm.com/think/insights/application-performance-optimization
Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.
https://www.oreilly.com/library/view/optimizing-java/9781492039259/
Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.
流量调度+
https://ferrishall.dev/istio-service-mesh-deepish-dive-architecture-traffic-control-security-and-observability
We’ll be diving a bit deeper, specifically into Istio's architecture, traffic management, security, and observability features.
[英文] Traffic Management
https://istio.io/latest/docs/concepts/traffic-management/
Istio’s traffic routing rules let you easily control the flow of traffic and API calls between services.
https://www.cloudnativedeepdive.com/managing-traffic-in-kubernetes-for-gateways-service-mesh/
There is always traffic moving throughout your cluster, whether it's north/south (ingress/egress) or east/west (service-to-service).
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