1. What is devops?
- DevOps is a software delivery model that integrates Development and Operations, and is an important part of digital transformation. It is a concept and practice that integrates development, testing, deployment, and operations (Development and Operations), with the purpose of improving the efficiency of software development and operation and maintenance, reducing costs, and improving software quality.
- The core idea of DevOps is to closely integrate the development and operation and maintenance teams to realize the automation of software development, testing and deployment, thereby eliminating unnecessary duplication of work and improving the efficiency of development and operation and maintenance. By automating the deployment, monitoring, testing, and maintenance processes, DevOps ensures applications are always in top shape and provide a better user experience.
- DevOps is not a new concept, but with the continuous development of cloud computing, big data, artificial intelligence and other technologies, DevOps has become an important support for the digital transformation of enterprises. It has been widely used in software development, network security, database management, artificial intelligence and other fields. In the field of cloud computing, DevOps has become an important service model, which can help enterprises realize the automatic deployment and management of applications.
2. What skills do you need to master to learn devops?
- Learn programming languages such as Python, Java, and JavaScript, as DevOps teams often need to use these programming languages for automated deployment, monitoring, and testing.
- Learn about database technologies such as MySQL, PostgreSQL, and MongoDB, as DevOps teams often need to use these databases to store and manage application data.
- Learn Linux system administration and operating system fundamentals, as DevOps teams often need to manage and operate servers.
- Learn automated deployment tools such as Ansible, Chef, and Puppet, as DevOps teams often need to use these tools to automate the deployment of applications.
- Learn data analysis and visualization tools such as Tableau, Power BI, and R, as DevOps teams often need to use these tools to monitor and visualize application performance.
- Learn continuous integration and continuous delivery (CI/CD) tools such as Jenkins, Travis CI, and CircleCI, as DevOps teams often need to use these tools to automate the build, test, and release processes.
In addition, teamwork, communication and management skills are also required, because DevOps teams usually need to collaborate with development, testing, operation and maintenance teams to achieve automated deployment and management of software. It is recommended to take some courses on teamwork and management, such as leadership development, team communication and project management.
In the end, to become a good DevOps engineer, you need to keep learning and practicing, and constantly improve your skills and knowledge. You can refer to some online courses, books and blogs, such as "Agile Development", "Digital Transformation" and "DevOps Practice", to help you learn and practice better.
3. What are the devops toolboxes?
- Version Control System: Git is a popular distributed version control system used to manage changes in software code. Git is widely used in DevOps teams because it can help teams collaborate to manage code changes and automate code building and management.
- Code hosting platform: GitLab is a popular Git hosting platform that provides a secure, scalable platform that helps teams easily manage and collaborate on code development.
- Code review tool: Gerrit is an open source code review tool used to help teams review code collaboratively. Gerrit uses a web interface that enables team members to access code reviews from any device.
- Automated deployment tools: Ansible, Chef, and Puppet are all popular automated deployment tools used to help teams automate the deployment of applications. These tools help teams quickly build, test, and release applications, improving development and deployment efficiency.
- Data analysis and visualization tools: Splunk, InfluxDB, and Tableau are all popular data analysis and visualization tools used to help teams monitor and analyze application performance. These tools help teams spot issues and provide visual reporting and analysis.
- Continuous integration and continuous delivery (CI/CD) tools: Jenkins, Travis CI, and CircleCI are all popular CI/CD tools used to help teams automate build, test, and release processes. These tools help teams quickly build, test, and release applications, improving development and deployment efficiency.
In addition, there are some other DevOps tools, such as configuration management tools, performance testing tools, containerized deployment tools, etc. Different teams and projects may choose different tools, so which tools to use depends on the needs of the team and the actual situation.