What to learn about Linux cloud computing operation and maintenance?

What to learn about Linux cloud computing operation and maintenance?

If you want to become a qualified operation and maintenance engineer, you need to master a lot of skills. Linux operation and maintenance engineers pay attention to breadth. Here is an introduction to the learning content of Linux cloud computing operation and maintenance:

1. Linux system basics - the basic knowledge of Linux, the use of commands, and core knowledge points such as users and permissions

2. Linux system management and advancement-Linux from processes, resources, tasks, software, Software package, disk, etc. management methods

3. Common Linux enterprise services - common enterprise-level services such as DNS, FTP, HTTP, mail

4. Linux enterprise-level security principles and prevention techniques and network and security - Linux security architecture, security threat model, encryption, decryption and other principles, common attacks and prevention sections

5, Shell programming gate and advanced - basic usage and advanced of Shell script, from basic to proficient , you need to learn some common enterprise-level script usage

6. MySQL application principles and management gate-Mysql installation, management, authorization, addition, deletion, modification and query

7.http service proxy cache acceleration-http level Protocol application, cache, web service nginx

8, enterprise-level load cluster-enterprise-level 4-layer load balancing LVS, and 7-layer load balancing nginx and haproxy applications

9, enterprise-level available Cluster-available cluster principle, realizing the available cluster with keepalived as the core, as well as master-slave high availability, dual-master

10, operation and maintenance monitoring zabbix-enterprise-level monitoring system and the function and architecture of zabbix streaming open source monitoring system

11. Cloud computing operation and maintenance automation - ansible, puppet and other operation and maintenance automation solutions

12. WEB service architecture - WEB service architecture, JSP system, tomcat, CDN, caching principle , Stress testing, evaluation

13, Large-scale interconnected cluster architecture and practical cases-LB cluster: nginx, Haproxy, LVS HA cluster, dynamic and static separation

14, MySQL DBA practical skills and optimization-database Parameter optimization, sharding of databases and tables, backup solutions, data recovery strategies, master-slave replication, read-write separation, connection pool and sharding technology, MHA, etc.

15, enterprise-level cloud computing Openstack-Keystone, Glance, Nova Core components, network modules, block storage services, etc.

16. Enterprise-level data Hadoop operation and maintenance practice-column database HBase basic principles, installation configuration and applications, Zookeeper cluster construction hadoop implementation Namenode can

17. Enterprise-level virtualization KVM actual combat-KVM environment: KVM installation, configuration and application

18. NoSQL enterprise-level applications-Nosql applications, such as redis, MongoDB replication, cluster-level applications

19. Enterprise-level log collection system ELK actual combat - massive data log collection system Elasticsearch Logstash kibana application

20. Sustainable integration - Jenkins github enterprise-level application

21. Virtualization container Docker-Linux lightweight virtualization Docker, Docker principle, installation, configuration and application

22, Enterprise-level K8S actual combat-component functions, installation, configuration, enterprise-level application scenarios and common fault analysis

23. Practical Linux system tuning - Comprehensive explanation of Linux system tuning from memory, CPU, process scheduling, disk IO, network parameters, etc.

24. Python programming basics - python installation, logical judgment, modules Use etc.

Relevant learning recommendations: linux video tutorial

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