DevOps toolchain
Currently, there are many
DevOps tools in the industry that can help users simplify and automate the delivery pipeline of software, as well as the different stages of the workflow, and ultimately ensure effective implementation. According to the following life cycle division, we list DevOps proprietary tools at each stage for your reference, testing and selection.
You can refer 12 Tools to Successfully Implement DevOps Plans (1) : CI/CD to get the basic knowledge of DevOps.
Planning: This is an important stage for defining business value and needs.
Tool examples-Git, Jira
· Coding: It involves the design of software and the detailed process of code creation.
Tool examples-Stash, GitHub, GitLab
· Build: This stage mainly manages the build and version of various software with the help of automation tools. Therefore, automated tools will assist in compiling and packaging the code for future release to the production environment.
Tool examples-Docker, Puppet, Chef, Ansible, Gradle
· Testing: This is the continuous testing phase to ensure code quality.
Tool examples-Vagrant, Selenium, JUnit, Codeception, BlazeMeter, TestNG
· Deployment: This is the stage of management, planning, coordination, and
automatic release of various products into the production environment.
Tool examples – Jenkins, Kubernetes, Docker, OpenShift, OpenStack, Jira
· Monitoring: This stage is mainly to identify and collect issues and information about the released software in the production environment.
Tool examples-Nagios, Splunk, Slack, New Relic, Datadog, Wireshark
12 tools to successfully implement DevOps plans
At present, because no one tool can include all development and delivery stages, we need to build a proper
DevOps culture for the enterprise through different tools based on understanding our own processes. Let's discuss the 12 DevOps tools that are suitable for different stages of software development:
1.Jenkins
Jenkins is an excellent DevOps automation tool widely used in the field of software development. Essentially, it is an open source CI/CD server that can be automated at different stages of the delivery process. With its huge plugin ecosystem (more than 1,000), Jenkins can be integrated with a variety of
DevOps tools including Puppet, Docker and Chef.
Features of Jenkins:
The CD pipeline can be set and customized according to the user's personal needs.
It can run on Windows, Linux and macOS X, so it is easier to get started.
Ability to iterate and deploy new code at a faster rate.
2.Git
Git is a distributed source code management (SCM, source code management) DevOps tool, which is currently being widely used in the software development industry. It not only allows users to easily track the progress of development work, but also restores to a specific version as needed according to the saved and different versions of source code.
Features of Git:
As a free and open source tool, it supports multiple version control operations such as check-in, merge, tag, commit, and branch.
Provide hosting libraries such as Github or Bitbucket for up to five team members for free and unlimited use.
Easy to learn, branch source code can be easily merged together through Git.
3.Nagios
Nagios is one of the most popular free and open source DevOps monitoring tools. It can easily identify various security threats and detect different interruptions and errors by monitoring the infrastructure in real time. In addition, Nagios can also provide graphical reports.
Features of Nagios:
Not only free and open source, but also provide various additional components.
Simplified the monitoring methods of the two servers based on the agent and agentless.
Ability to monitor Windows, UNIX, Linux and other web applications.
Provide multiple versions of sub-tools, including:
Nagios Core – command line tool.
Nagios XI-Web-based GUI.
Log Server – Use automated alerts to search log data.
Nagios Fusion-Can be used to monitor multiple networks simultaneously.
4.Splunk
By providing intelligent operations to the DevOps team, Splunk can obtain all kinds of practical machine data, thereby improving the company's productivity, competitiveness and security.
Features of Splunk:
Through data-driven analysis of computer-generated data, we can provide insights on various possibilities.
Can provide a more centralized view of IT services.
Ability to highlight anomalies and affected areas through rapid detection mode.
5.Docker
As the most widely used containerized development tool in the DevOps field,
Docker provides platform-independent integrated containers for cloud services native and those legacy applications. It can achieve agile operation on the basis of ensuring security.
Features of Docker:
Can easily realize the automatic deployment of applications, and can simplify distributed development.
Both Google Cloud and AWS can provide built-in support for Docker.
Docker containers are not only capable of supporting virtual machine environments, but also platform-independent.
6.Kubernetes
Kubernetes is a DevOps tool commonly used by large teams. It can be built based on
Docker containerization, and can group containers by logical classification.
Features of
Kubernetes:
Multiple computers can be deployed through automatic distribution.
It is the first container orchestration tool.
It is very practical when simplifying complex projects developed by large teams.
7.Ansible
Ansible, written by YAML, is a management and organization tool for agentless design. DevOps teams can use it to more easily extend automated processes and increase productivity.
Features of Ansible:
Based on the master-slave architecture.
The arrangement module is designed as Playbook.
It is ideal for managing complex deployments and can speed up the development process.
8.Vagrant
As a popular DevOps tool, Vagrant can be used in conjunction with other management tools to create a virtual machine environment in the same workflow. Today, many organizations are beginning to use Vagrant to achieve the transition to DevOps culture.
Features of Vagrant:
Can be used with different operating systems including Windows, Linux and Mac.
It can be easily integrated with DevOps tools such as Chef, Puppet, Ansible and so on.
9.Gradle
Gradle is a DevOps tool with extremely rich features. Its users can write code in languages such as C++, Java, and Python. All popular IDEs (such as Netbeans, Eclipse, and IntelliJ IDEA) can support it.
Features of Gradle:
Its core model is based on task-action, input and output.
Use Groovy-based DSL and Kotlin-based DSL to describe the build.
Its incremental build can save users a lot of compilation time.
10.Chef
Chef is a popular orchestration management tool based on Ruby. It is mainly used to check configuration and automation infrastructure.
Features of Chef:
Helps to achieve continuous standardization and strengthen configuration.
By automating the entire process to ensure the correctness of the system configuration.
Can ensure the flexibility, readability and testability of the configuration strategy.
11.Worksoft
As another popular DevOps tool, Worksoft can provide various support for Web and cloud applications. It has a complete ecosystem for all types of enterprise-level applications that span the entire continuous delivery process.
Features of Worksoft:
Able to integrate UI and end-to-end testing into the CI pipeline, thereby accelerating the entire process.
Allow large and medium-sized enterprises to create continuous risk-based testing pipelines. These pipelines can be imported into the production environment of the application to achieve scalability.
Provide integration with various third-party solutions to facilitate users to choose tools that suit their needs, and seamlessly manage various tasks throughout the DevOps release cycle.
12.Puppet
Puppet is an open source tool that can be used to deploy, configure, and manage servers.
Features of Puppet:
It provides a master-slave structure.
Can run smoothly in mixed infrastructure and applications.
Compatible with Windows, Linux and UNIX operating systems.
The latest research conducted by Technavio (https://www.technavio.com/report/global-it-spending-region-and-industry-devops-platform-market) shows that from 2016 to 2020, the global DevOps market’s The compound annual growth rate (CAGR) has reached 19%. This is enough to highlight the enthusiasm of various companies around the world for implementing DevOps. To ensure the successful implementation of the DevOps process, we must develop a reliable DevOps strategy and select DevOps tools that match the existing development environment. In the face of the current DevOps tools on the market, it is obviously time-consuming to configure, test, and experiment one by one. I hope you can include the 12 DevOps tools listed above in your tool spectrum so that you can choose them as needed.