DevOps Practice: Basic Tools and Their Use
DevOps is a development approach that integrates the processes of creating and operating software into a single project life cycle. In this article, we will outline the basic principles and tools of this methodology.
The concept of DevOps is based on close cooperation between developers and operations specialists. Collaborative culture and automation are the main principles here. They ensure efficiency and speed at all stages of program development and implementation.
DevOps tools
Version control
DevOps uses version control tools to enable team collaboration, automate deployment, and monitor processes. The main ones are Git and Apache Subversion (SVN).
These tools allow you to track the history of changes and work on product functionality. The distributed Git system ensures the effectiveness of collaborative development and facilitates project version control. The centralized SVN system helps to regulate and organize changes in the program code.
CI/CD automation
Continuous Integration (CI) and Continuous Deployment (CD) are two practices that automate the software development process. The main tools:
- Jenkins is an open source CI/CD process automation system that integrates with other development tools.
- Travis CI, CircleCI are cloud-based platforms that automate testing and code assembly processes in real time.
Configuration management
The following tools are used to ensure consistency, stability, and automation of infrastructure management in DevOps:
- Ansible: allows you to declaratively describe the configuration of systems and automates infrastructure management tasks.
- Chef: uses the concepts of recipes and roles to automate software deployment processes.
- Puppet: supports cross-platform configuration for settings on different operating systems.
- SaltStack: operates on a master-minion model that provides centralized management of distributed infrastructure.
Monitoring and logging
DevOps monitoring and logging tools are a set of solutions and platforms for efficient data collection, analysis, and visualization. They help DevOps teams identify problems in time, track performance, analyze data, and maintain system stability. Key tools:
- Prometheus
- Grafana
- ELK Stack (Elasticsearch, Logstash, Kibana)
- Splunk
- New Relic
- Datadog
Testing
The choice of necessary testing tools is determined by the goal, tasks, and features of the product. The following software solutions are used in DevOps practice:
- Automated testing:
Selenium for web
JUnit, TestNG for Java
Pytest, Robot Framework for Python - Modular testing: JUnit, NUnit, Pytest
- Functional testing: Cucumber, Behave
- Load testing: Apache JMeter
- Security testing: OWASP ZAP, Burp Suite
- API testing: Postman, SoapUI
- Mobile apps testing: Appium, Xamarin Test Cloud
Effective use of tools plays a key role in automating software development and deployment processes. With these tools, teams can speed up product development cycles, improve collaboration, and ensure stability.
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