The ascension of DevOps can be called culture, movement, philosophy or methodology. The way you define the essence of DevOps and the best way to apply its principles and practices depends on several factors that involve management processes and organizational change. As DevOps strives to transform software development into a strategic asset, it is essential to select the right tools for the job. DevOps promotes speed, efficiency, and reliability, and the right tools and technologies make these benefits a reality.
Tools for DevOps Adoption
But a software development process can not work efficiently without adequate tools. In the same way, in the case of DevOps, you can always benefit from the right set of tools. These tools help in the exchange of information, the automation of processes, the reduction of the implementation time and, finally, the continuous implementation.
The most common DevOps tools are continuous integration, configuration management platforms, and container tools. Continuous integration tools are used to automate the test and feedback process and build a document trail. Configuration management tools are mainly used to track and control changes in the software. They extract code infrastructure components for automation and maintain continuous software delivery. Other tools help standardize compilations, improve collaboration between developers and system administrators, or monitor systems.
The main open source automation server, Jenkins, is a DevOps tool for monitoring the execution of repeated tasks. This extensible automation mechanism allows DevOps teams to integrate project changes more easily and access exists to quickly identify problems.
- Java-based program self-content ready to run out of the box with Windows, Mac OS X and other operating systems similar to Unix
- Continuous integration and continuous delivery
- Easily configured and configured through a web interface
- Hundreds of plugins in the Update Center
Continuous integration of Continuous implementation. Docker uses containers to support continuous integration and continuous implementation in various infrastructures with ease. The packaging of the final product is also simplified due to the use of containers.
- Works on Windows and Linux
- Deploys in any application stack
- Deploys up to 20,000 containers and supports 2000 concurrent jobs
Implant, configure and manage your servers open source configuration management tool, used to automate the method of inspection, delivery, and operation of your software throughout the life cycle, regardless of the platform.
- Based on the architecture master-slave
- Open source tool
- Long commercial record
Ansible is an IAC tool (infrastructure like code) that automates the configuration, administration, provisioning, orchestration and software implementation. It differs from other configuration management software, emphasizing simplicity. The syntax is laconic (it uses the data serialization language based on Python YAML), and its architecture is agentless (no daemon that invests in resources that run in the background).
The Ansible architecture consists of two types of servers: controlling servers and nodes. Ansible orchestrates the nodes implementing modules securely through the SSH (Secure Shell protocol). Since the nodes are agentless, they do not need the locally installed daemons to communicate with the control server. This makes Ansible the alternative to other IT automation programs, such as Chef, CFEngine and Puppet.
Kubernetes is an open source container orchestration tool. It is developed by Google. It is used in the continuous implementation and in the automatic scaling of container clusters. Increase fault tolerance, load balancing in a container cluster. Kubernetes maintains the desired cluster state, this desired state is described in the YAML file. The YAML file contains the status of pods or slave nodes and the replication unit of a cluster.
Kubernetes uses this YAML file to maintain a cluster state, for example, in the case of a pod that responds to more requests than another pod, it can automatically distribute that load to other pods in case a computer fails. it replaces its place, guaranteeing fault tolerance, load balancing and high availability in a cluster. Kubernetes is used in high-performance data centers, such as Google, Facebook and Amazon Web Services.
How to Choose the Right DevOps Tool
There is no secret method to choose the appropriate DevOps tools. You will implement them in various operational and development teams, so it should be thought of in another change in the existing culture.
The main phases are:
- Collaboration – deciding which tools can agree and share on various platforms for full integration.
- Planning – being able to share ideas, discuss, comment and work towards a common goal
- Build -includes software development along with encoding against any virtual or disposable duplicate to accelerate production and get more results.
- Continuous integration – obtaining constant and immediate feedback through the code fusion process. It often happens daily using automatic testing tools.
- Implant: Implement predictable, reliable and frequent applications to maintain production without problems and low risks through automation.
- Operate – performance monitoring of applications and servers that record and observe the data 24 hours a day to ensure it is working properly.
- Continuous feedback – user comments, support tickets, Tweets, NPS data, rotation searches, bug reports and other comments collected to determine if what is being built is working.
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