米哈游运维开发(监控方向)
社招全职3年以上程序&技术类地点:上海状态:招聘
任职要求
本科及以上学历,3 年以上可观测性 / 监控平台研发相关经验,具备扎实的计算机体系结构、网络、存储、分布式系统基础。 精通 Prometheus/VictoriaMetrics/Thanos 中至少一种技术栈,具备大规模联邦集群、分片治理或降采样优化经验,有千万级 series 治理经验优先。 熟悉 Loki/Elasticsearch/ClickHouse 中至少一种日志存储方案,具备 TB 级日志写入、索引优化与查询性能调优经验。 熟练使用 Grafana 进行可视化设计与定制化开发,具备 React/Vue 前端开发能力者优先。 熟悉 OpenTelemetry 协议与 Jaeger 等链路追踪系统,有全链路追踪落地与跨系统打通经验。 熟练掌握 Go/Python至少一门…
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工作职责
顶层架构规划与多系统整合:统筹设计内部自建 / 游戏集群 / 公有云三层环境的统一可观测性架构,推动多套分散监控系统的能力整合、标准对齐与技术栈收敛,构建覆盖指标、日志、Trace 的全链路一体化可观测体系。 核心系统研发与性能攻坚:负责可观测性平台全链路的研发、部署与运维;针对大规模监控场景,开展采集、传输、存储、查询全流程性能优化。 平台产品化与多租户建设:设计并实现多租户体系下的可视化 Dashboard、统一查询界面与自助分析能力,针对搜索、渲染性能进行专项调优,面向研发、运维等不同角色提供低门槛、高效率的可观测产品能力。 告警体系与运维协同落地:联合运维团队沉淀告警分级标准与治理规则,推进告警降噪、收敛与根因关联能力建设,沉淀标准化故障处置 SOP,赋能业务快速定位与闭环问题。 技术选型与持续演进:跟进可观测性领域前沿技术,负责核心技术选型与方案落地,持续迭代平台架构,支撑业务快速扩张与技术复杂度升级。
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
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.
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
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
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.
Grafana+
React+
[英文] Quick Start - React
https://react.dev/learn
This page will give you an introduction to 80% of the React concepts that you will use on a daily basis.
https://www.youtube.com/watch?v=SqcY0GlETPk
Master React 18 with TypeScript! ⚛️ Build amazing front-end apps with this beginner-friendly tutorial.
https://www.youtube.com/watch?v=x4rFhThSX04
Learn modern React basics in the most interactive, hands-on way possible in the full course for beginners.
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