阿里云阿里云智能-云平台高级运维工程师-杭州
社招全职3年以上云智能集团地点：杭州状态：招聘
工作描述
任职要求 技术能力： 1. 中间件：至少精通一项，包括Kafka/RocketMQ集群管理，Zookeeper/Nacos服务发现，Prometheus/Grafana，可靠性保障与性能调优。 2. 编程与排查：至少掌握Java或Go一门语言，能通过代码调试、日志分析等手段排查中间件与业务系统的交互问题；熟悉中间件源码，具备性能测试及代码优化性能的经验；熟练使用Shell/Python编写运维脚本，熟悉Terraform等自动化工具。 3. 容器与云原生：熟悉Kubernetes核心概念（Pod/Service/StatefulSet），具备中间件在K8s环境的部署与运维经验（Helm/Operator优先）；了解公有云（阿里云、AWS等）中间件服务或云原生技术…
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包括英文材料
中间件+
https://www.youtube.com/watch?v=1oWPUpMheGk
Kafka+
https://developer.confluent.io/what-is-apache-kafka/
https://www.youtube.com/watch?v=CU44hKLMg7k
https://www.youtube.com/watch?v=j4bqyAMMb7o&list=PLa7VYi0yPIH0KbnJQcMv5N9iW8HkZHztH
In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.
RocketMQ+
https://www.baeldung.com/apache-rocketmq-spring-boot
In this tutorial, we’ll create a message producer and consumer using Spring Boot and Apache RocketMQ, an open-source distributed messaging and streaming data platform.
ZooKeeper+
https://kubernetes.io/docs/tutorials/stateful-application/zookeeper/
This tutorial demonstrates running Apache Zookeeper on Kubernetes using StatefulSets, PodDisruptionBudgets, and PodAntiAffinity.
https://www.baeldung.com/java-zookeeper
Apache ZooKeeper is a distributed coordination service which eases the development of distributed applications.
[英文] Zookeeper Tutorial
https://www.tutorialspoint.com/zookeeper/index.htm
ZooKeeper is a distributed co-ordination service to manage large set of hosts.
Nacos+
https://nacos.io/docs/latest/overview/
Nacos 是 Dynamic Naming and Configuration Service 的首字母简称，一个易于构建 AI Agent 应用的动态服务发现、配置管理和AI智能体管理平台。
Prometheus+
https://grafana.com/docs/grafana/latest/getting-started/get-started-grafana-prometheus/
Prometheus is an open source monitoring system for which Grafana provides out-of-the-box support.
https://prometheus.io/docs/tutorials/getting_started/
Prometheus is a system monitoring and alerting system.
Grafana+
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.
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