Top 12 DevOps Tools for your DevOps Implementation Plan

  • Improve the frequency of deployment
  • Reduce the time between updates/fixes
  • Achieve speedy delivery
  • Improve time to recovery
  • Reduce the failure rate of new releases

DevOps Transformational Roadmap

Build (DevOps Continuous Integration)

Test (DevOps Continuous Testing)

Release (DevOps Continuous Delivery)

  • Continuous Development — Continuous development involves planning, outlining, and introducing new code. Ongoing development aims to optimize the procedure of code-building and to reduce the time between development and deployment.
  • Continuous Integration (CI) — This practice of DevOps implementation involves the integration of developed code into a central repository where configuration management (CM) tools are integrated with test & development tools to track the code development status. CI also includes quick feedback between testing and development to be able to identify and resolve various code issues that might arise during the process.
  • Continuous Testing — The aim of continuous testing is to speed up the delivery of code to production. This phase of DevOps involves simultaneous running of pre-scheduled and automated code tests as application code is being updated.
  • Continuous Delivery — Continuous delivery is aimed at quick and sustainable delivery of updates and changes ready to be deployed in the production environment. Continuous delivery ensures that even with frequent changes by developers, code is always in the deployable state.
  • Continuous Deployment (CD) — This practice also automates the release of new or changed code into production, similar to continuous delivery. The use of various container technology tools such as Docker and Kubernetes allows continuous deployment as they play a crucial role in maintaining code consistency across different various deployment environments.
  • Continuous Monitoring — It involves ongoing monitoring of the operational code and the underlying infrastructure supporting it. Changes/application deployed in the production environment is continuously monitored to ensure stability and best performance of the application.

Advantages of DevOps

  • Speedy and better product delivery
  • Scalability and greater automation
  • High clarity into system outcomes
  • Stable operating environments
  • Better utilization of resources
  • High transparency into system outcomes

a) Costing

b) Skill deficiency

c) Complex infrastructure

DevOps Implementation — Step-by-step Guide

1. Build a competent DevOps team

2. Develop a robust DevOps strategy

  • Speedy execution — The ultimate objective of any organizational initiative is customer satisfaction, which is based on constant innovation and faster performance. Continuous delivery and continuous deployment of DevOps practice ensure that accuracy and speed are maintained.
  • Scalability — Infrastructure as a code practice assists in scalable and immaculate management of various stages (development, testing, and production) of the software product lifecycle, which is vital to DevOps success.
  • Reliability — DevOps practices of continuous integration, continuous testing, and constant delivery guarantee reliability of operations by ensuring safe and quality output for a positive end-user experience.
  • Collaboration — The DevOps principle of cross-team collaboration and effective communication reduce process inefficiencies, manage time constraints, and trim the chances of project failure.
  • Frequent Delivery — Continuous delivery, integration, and deployment practices of DevOps allow very rapid delivery cycles and minimum recovery time during implementation, leaving room for more innovation.
  • Security — Various automated compliance policies and configuration management techniques allow the DevOps model to offer robust security through infrastructure as code and policy as code practices.

3. Start small

4. Automate as much as possible

5. Prepare the right environment

6. Choose the right tools and build a robust common infrastructure

DevOps Toolchain

a) Planning

b) Coding

c) Software build

d) Testing

e) Deployment

f) Monitoring

Top 12 DevOps Implementation Tools

1. Jenkins

Features of Jenkins

  • It allows you to set up and customize CD pipeline as per individual needs.
  • Runs on Windows, Linux, and macOS X which makes it easy to get started with.
  • Jenkins allows you to iterate and deploy new code with greater speed.

2. Git

Features of Git

  • A free and open-source tool that supports most of the version control features of check-in, merging, labels, commits, branches, etc
  • Requires a hosted repository such as Github or Bitbucket that offers unlimited private repositories (for up to five team members) for free.
  • Easy to learn and maintain with separate branches of source code that can be merged through Git.

3. Nagios

Features of Nagios

  • Free, open-source with various add-ons available.
  • Facilitates two methods for server monitoring — agent-based and agentless.
  • Allows for monitoring of Windows, UNIX, Linux, and Web applications as well.
  • Available in various versions including:
    -Nagios Core — command-line tool
    -Nagios XI — web-based GUI
    -Log Server — searches log data with automatic alerts
    -Nagios Fusion — for simultaneous multiple-network monitoring

4. Splunk

Features of Splunk

  • Offers actionable insights with data-driven analytics on machine-generated data.
  • Splunk delivers a more central and collective view of IT services.
  • Quickly detects patterns, highlights anomalies, and areas of impact.

5. Docker

Features of Docker

  • Easily automates app deployment and makes distributed development easy.
  • Built-in support for Docker available by both Google Cloud and AWS.
  • Docker containers support virtual machine environments and are platform-independent.

6. Kubernetes

Features of Kubernetes

  • It can be deployed to multiple computers through automated distribution.
  • Kubernetes is the first container orchestration tool.
  • Extremely useful in streamlining complex projects across large teams.

7. Ansible

  • Based on the master-slave architecture.
  • The arrangement modules in Ansible are designated as Playbooks.
  • It is an ideal DevOps tool to manage complex deployments and speed up the process of development.

8. Vagrant

Features of Vagrant

  • I can work with different operating systems, including Windows, Linux, and Mac.
  • Vagrant can be easily integrated and used alongside other DevOps tools such as Chef, Puppet, Ansible, etc.

9. Gradle

Features of Gradle

  • The core model of Gradle is based on tasks — actions, inputs, and outputs.
  • Gradle uses both Groovy-based DSL and a Kotlin-based DSL for describing builds.
  • The incremental builds of Grade allow you to save a substantial amount of compile time.

10. Chef

Features of Chef

  • Assists in standardizing and enforcing the configurations continuously.
  • Chef automates the whole process and makes sure that the systems are correctly configured.
  • Chef helps you ensure that the configuration policies remain entirely flexible, readable, and testable.


Features of Worksoft

  • Capable of integrating UI and end-to-end testing into the CI pipeline, thus speeding the process.
  • Allows medium and large scale businesses to create risk-based continuous testing pipelines that feed into application production environments for scalability.
  • Offers integrations with various third-party solutions to allow the companies to choose tools best suited for their individual, organizational needs and seamlessly manage tasks across the entire DevOps release cycle.

12. Puppet

Features of Puppet

  • It offers master-slave architecture.
  • Puppet works smoothly for hybrid infrastructure and applications.
  • Compatible with Windows, Linux, and UNIX operating systems.



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