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The knowledge that Linux operation and maintenance engineers need to master is: 1. Basic knowledge of Linux systems; 2. Linux system management; 3. Common services of Linux enterprises; 4. Linux enterprise-level security principles and prevention skills; 5. Shell Programming; 6. MySQL application principles; 7. Enterprise-level load clusters; 8. Cloud computing operation and maintenance automation.
If you want to become a qualified operation and maintenance engineer, you need to master many skills. Linux operation and maintenance engineers pay attention to breadth. The following are recommendations for Linux cloud computing engineers. Learning content:
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1. Basic introduction to Linux system - basic knowledge content of Linux, and command usage, As well as core knowledge points such as users and permissions
2. Linux system management and advancement-Linux management methods from processes, resources, tasks, software, software packages, disks, etc.
3. Linux Enterprise Commonly used 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, and encryption, decryption and other principles , Common Attacks and Prevention Section
5. Shell Programming Gate and Advancement-Basic Usage and Advancement of Shell Scripts, 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, and the main From 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 etc. Operation and maintenance automation solutions
12. WEB service system architecture-WEB service system architecture, JSP system, tomcat, CDN, caching principle, stress testing, evaluation
13. Type 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, sub-database and sub-table, backup plan, data recovery strategy, 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-Basic principles, installation configuration and application of columnar database HBase, Zookeeper cluster construction hadoop to implement Namenode
17, Enterprise-level virtualization KVM practice-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 application
21, virtualized container Docker-Linux lightweight virtualized Docker, the principle and installation of Docker, configuration and Application
22, Enterprise-level K8S practice - component functions, installation, configuration, enterprise-level application scenarios and common fault analysis
23, Linux system tuning practice - from memory, CPU, process scheduling , disk IO, network parameters, etc. Comprehensive explanation of Linux system tuning
24. Python programming basics-python installation, logical judgment, module use, etc.
25. Personal comprehensive ability improvement-expression ability , teamwork ability, execution ability, competency, etc.
The above 25 skills are each worth about 2K. Your salary, in this industry, depends on how much you know. If you want to make money, you have to be valuable first.
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