Top 10 DevOps Tools That You Can Try in 2020

DevOps technology is a combination of development and operations. It is based on the practical implementation of Agile methodology and is one of the most methodical and systematic approaches in the software industry. DevOps has led to Continuous Delivery, Integration, and Deployment and has reduced boundaries between the development teams and the operations team. Complex and heavy applications need elaborate and well-structured tech stacks that command substantial and large-scale labor for development and configuration.

Top-10-DevOps-Tools-That-You-Can-Try-in-2020

DevOps offers a wide range of tools and technologies to build, test, and deploy applications within a span of a few minutes and a single click. They can be customized as per the client requirements and can be eliminated when not in use hence making the process seamless and cost-efficient for both the development team and the operations team. There are various DevOps tools have been advanced to make collaboration and development easier. 

Here are the Top 10 DevOps tools which you should try in 2020:

1. Git

Git is the best DevOps tool for easy collaboration in shared repositories. It is an open-source, version control system that allows code management and swift code changes and iterations along with development. The best part about Git is that it is suitable for large scale applications as well and permits a non-sequential development. Developers can work on different branches and push their changes and updates to the master branch for reviewing and merging. It maintains a copy of the previous code and in case something goes wrong, it can be reverted to the previous state of the project. It keeps a track of every commit which is simply retractable with the help of good commit messages.



2. Jenkins

Jenkins is an open-source continuous integration and automation server which is written in the Java programming language. It is used to automate the complete build cycle of a software application or project. Jenkins is preferred since building, automating, and deploying across various platforms is much easier and it integrates all the DevOps stages due to its enormous plugin ecosystem with more than a thousand plugins. Not only it has a command-line interface but also a web-based graphical user interface and REST API for communication. It works with any programming language and supports multiple operating systems like Windows, Linux, etc. The Pipeline feature in Jenkins makes it possible for developers to automatically commit code into repositories and run test cases along with generating reports.

3. Ansible

Ansible is another open-source configuration planning, coordinating, and management tool. It is based on the master-slave architecture and supports push configuration. Ansible is essentially used for pushing new code changes in the existing project along with configuring newly deployed machines. It allows us to automate updates and setups thereby resulting in the faster configuration of CI/CD pipelines. Ansible is completely agentless and uses the YAML syntax. It is highly preferred since it lowers the costs of infrastructure and increases the replication speed while scaling. Ansible just needs SSH access to run commands on the servers that it manages in comparison to the alternative tools that need installation of an agent on all the servers for communication.

4. Docker

There has been tremendous growth in the use and implementation of containerized platforms and micro-services architecture. Docker is a lightweight tool that uses the concept of containerization. It packages up an application along with various dependencies and requirements before shipping the complete container as a single package. Docker is widely used as it accelerates the development of ready-to-run containerized applications that are secure. It works well with other DevOps monitoring tools and works with any language. Every application container accommodates the source code, running time, system configuration files, etc. which is responsible for the execution of the application.

5. Nagios

Nagios is open-source computer software that is based on the C programming language. It is an extremely powerful continuous monitoring system that allows us to keep a track of records, to identify and resolve infrastructure issues before any critical damages and keep a check on networks and systems. With Nagios, the complete data center can be observed from a single server and can analyze and solve server performance problems and also organize infrastructure updates in case the old systems start failing. It can keep a check on numerous parameters such as whether switches are working, load balancing on servers, or if any part of the application is not working as intended.

6. Puppet

Puppet is an open-source, cross-platform configuration management platform based on master-slave architecture. It allows Infrastructure as a Code management along with faster and reliable software delivery. Puppet is used for automating the process of delivering, examining, and operating the application throughout the complete software life cycle with platform independence. It helps to release better software in less duration of time and aids the best DevOps practices like CI/CD, versioning, and automated testing. It assists in quick error recovery and agility and hence quite popular among developers. It limits customization but in turn, offers more reliability as it uses a declarative language.

7. Prometheus

Prometheus is another powerful time-series database and an open-source tool that monitors and gives alerts. It monitors and generates alerts based on time-series data. It can be used to generate more accurate alerts and visualizations that aid in providing useful business insights, engineering outcomes, and provides graphs in numerous nodes. It has a flexible query language and a multi-dimensional data model. Each server is independent of reliability and relies only on local storage. Scaling in Prometheus is achieved by functional sharding and federation. It has many integrations and the client libraries allow easy instrumentation of services.

8. Grafana

Grafana is open-source analytics and interactive visualization web application that is open source. It is used by thousands of companies to monitor Prometheus & Graphite metrics, power plants, logs, beehives, applications, and custom data sources. It provides charts, graphs, and alerts for the web when attached to supported data sources that give valuable insights. It is expandable through a plug-in system and the end-users can create advanced monitoring dashboards using the interactive query builders it provides.

9. Splunk

Splunk is a high-end machine data, infrastructure monitoring, log analyzing, and application monitoring tool. Splunk is preferred as it provides dashboard provisioning for better representation and visualization, analysis, and management. It communicates with the various log files and stores them in the form of events. Splunk can be used on-premises or on SaaS as well. It is shipped with a lot of defaults and features preconfigured so that the user does not waste time and effort to dig through the documentation to set things up. It can get insights from various types of data and generate knowledge objects for operational intelligence.

10. Chef

The chef is another open-source configuration management and automation tool built in Ruby and Erlang. It manages the data, cookbooks, attributes, environments, and roles and converts infrastructure to code. It is easy to integrate with cloud-based platforms such as SoftLayer, Amazon EC2, Oracle Cloud, OpenStack, Google Cloud, Microsoft Azure, and also supports multiple platforms like Linux, FreeBSD, CentOS, and Red Hat. As opposed to the puppet, it uses imperative language which offers a greater level of customization which gives freedom to program every feature of the node. It is an amazing tool for more traditional legacy applications rather than stateless applications.

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