Top tools every DevOps Engineer should have in his/her caddy


Although DevOps is a methodology rather than a tool, it requires tools to be executed. It is difficult to remove communication barriers while increasing visibility and trust across all the teams that develop software and technology. With the right technology, the required automation and connections across functional teams are made simple, open, and scalable.

Here we will look in to best CI/CD automation, orchestration, and other DevOps pipeline tools

Selecting the Best DevOps Tools

There is no single vendor that really can supply all of the features required to support a DevOps strategy or pipeline. However, there are numerous critical factors to think about when choosing tools and technologies for your organization’s needs and unique DevOps objectives. These objectives often differ depending on the structure, activities, and environment of the business.
There are a few factors to consider while selecting the correct tools for any specific project or company.

  • What application and technical infrastructure does your software platform use ?

  • Tools should integrate with your current development environment IDEs and project management platform

  • Make sure the tool is simple for your team to learn and use, and have capability to scale.

  • Make sure to consider the cost of use and licensing, Although some tools may be free in terms of license, but sometimes the resources required to implement and maintain them are expensive.


Containerization & Orchestration Tools

Container orchestration tackles the problem by automating container scheduling, deployment, scalability, load balancing, availability, and networking. Container orchestration is the automation and management of the container and service lifecycle.

It involves maintaining and arranging a large number of containers and a microservices architecture.

Docker

DevOps teams may use the Docker technology stack to build, ship, and manage container-based distributed applications. By letting users to construct programs from components, this platform enables organizations to develop applications, trade container images, and communicate with users.

Docker’s primary goal is to automate application deployment by allowing several containers to operate on the same system. Docker always assures that if an application works well in development, it will also function well in staging and production. Basically it enables you to separate applications from infrastructures so that software is delivered quickly.

Features

  • Application Isolation

  • Easily Scalable

  • Reduced Infrastructure and Maintenance Costs

  • Easy and Faster Configuration

  • Swarm , which is a scheduling and clustering tool for Docker containers

  • cost-effective due to its rapid deployment

An open-source platform use to automates the administration, scalability, and deployment of containerized applications use to distribution of workloads onto compute cluster nodes. It can aid in the automated deployment, scaling, and administration of containerized workloads and services.

Kubernetes API facilitates communication between users, cluster components, and third-party components.

Features

  • Automates manual processes

  • Interacts with groups of containers

  • Self-monitoring

  • Horizontal scaling

  • Storage orchestration

  • Automates rollouts and rollbacks

  • Container load balancing

Openshift

OpenShift Container is a Platform as a Service is provided by Redhat, it aids in the automation of applications on secure and scalable resources. It provides enterprise-grade platforms for creating, deploying, and controlling containerized applications.

It is constructed using the Kubernetes engine and Redhat enterprise Linux. Openshift offers a variety of UI and CLI functions for managing clusters. Redhat offers two further iterations of Openshift,

Features

  • scale to thousands of instances across hundreds of nodes in seconds.

  • Flexibility to run a self-managed or fully managed service on-premises, in the cloud, or in a hybrid environment.

  • Open source standards

  • Automated container, app builds, deployments, scaling, health management

  • Advanced security and compliance

Some honorable mention

  1. Nomad

  2. Docker swarm

  3. Docker Compose

  4. Mini kube


Continuous Integration & Deployment (CI/CD) Tools

Businesses are moving toward DevOps approaches and Agile cultures in order to speed up delivery and guarantee product quality. A continuous and automated delivery cycle is the foundation of DevOps, enabling quick and dependable delivery.

The capacity of a good CI/CD technology to interface with continuous testing software is a crucial requirement. Teams may have to have to make difficult decisions to choose the best CI/CD technologies due to the abundance of solutions on the market.

Jenkins

Jenkins is an open-source program that enables continuous integration and continuous delivery (CI/CD) by automating phases of software development, including testing, building, and deployment, it leverages pipelines to create a continuous integration or continuous delivery (CI/CD) environment for almost any combination of languages and source code repositories, as well as to automate other normal development tasks.

Features

  • User-friendly and simple interface

  • Simple to install and update

  • Open-source availability

  • Large community base

  • Variety of plugins available

Circleci

CircleCI promotes quick software development and publication. The user’s workflow may be automated using CircleCI, from code development through testing and deployment. It offers simple installation and maintenance without any difficulties. As a cloud-based solution, Circle CI features a free plan even for business accounts, thus no dedicated server or server maintenance is necessary.

Circle CI also places a strong emphasis on thoroughly testing each change to the code before it is released, including techniques like unit tests, integration tests, and functional tests.

Features

  • Easy to setup

  • Customizable

  • Easy to learn and use

  • Simple and lightweight YAML configuration

  • No dedicated server is required to operate

Git Lab

GitLab is an open source code repository and platform for collaborative software development. It allows you to automate your code’s builds, integration, and verification. With each change or push, GitLab allows you to initiate builds, run tests, and deploy code. Jobs can be created on a virtual machine, a Docker container, or on a different server.

Features

  • Easy to learn and use

  • Highly scalable

  • Branching tools are used to view, develop, and manage code.

  • Economical, secure and are very flexible in costs

  • Code and Productivity Analytics

  • Jira integration

Some honorable mention

  1. Azure DevOps ( Microsoft Azure )

  2. Teamcity ( Jetbrains )

  3. Travis Ci


Configuration Management Tools

Configuration management connects functionality, design, and product requirements to guarantee the software performs consistently as part of system management and engineering.

By offering adequate tools for setting baseline system settings and working in accordance with them from the start in order to get the smoothest, most reliable, and error-free outcomes, configuration management makes the lives of both administrators and users simpler. By utilizing one of the technologies suggested will ensure that your system runs more smoothly while synchronizing settings with their appropriate environments.

Ansible

Ansible is the preferred DevOps tool for IT infrastructure orchestration, automation, configuration, and management. The advantages of using Ansible in DevOps are the ability to adapt to and scale in response to demand. Ansible makes IT automation easier by collecting a wide range of IT resources and supporting multitier deployments.

Servers, storage, networking, and software are some examples of the systems that are managed by ansible. Ansible is an agentless and user-friendly configuration methodology.

Features

  • Simple-to-use platform

  • Easy to install and configure

  • Easy to deploy because it uses no agents or additional custom security infrastructure

  • Free and Open Source

  • Can manage various systems as well as cloud infrastructure such as Amazon EC2 and openstack

Chef

Chef automates the network-wide deployment, configuration, and management of the infrastructure. Known sometimes as a recipe or cookbook, a chef is an open-source cloud configuration that converts system administrative duties into reusable definitions. Chef supports a variety of operating systems, including Windows, Ubuntu, Centos, and Solaris, and it has a client-server architecture.

Additionally, it works with cloud computing systems like Google Cloud Platform, Amazon Web Services (AWS), OpenStack, IBM Bluemix, HPE Cloud, Microsoft Azure and Rackspace. Only catch is it requires steep learning curve and bit complicated to setup.

Features

  • With only a few staff, you can easily manage hundreds of servers

  • keeps a blueprint of the whole infrastructure’s plan

  • connects to all major cloud service providers

  • Designed for programmers.

  • Centralized management


Version controlling Tools

Version control systems are software tools that assist development teams manage changes to source code over time. Version control technologies help software teams operate quicker and smarter as development environments have increased.

VCS stores every modification to the code in a specific type of database. If a mistake is made, engineers may go back in time and compare previous versions of the code to help correct the problem while minimizing disturbance to other team members.

Git

Git is the world’s most contemporary free and open-source distributed version management system and commonly used distributed version control system. It is designed to handle tasks quickly and efficiently. We can monitor and collaborate with our team members at the same workspace thanks to the version control system.

Features

  • Free and open source

  • Distributed System

  • Highly reliable

  • Highly Secure

Some honorable mention

  1. GitHub

  2. Apache Subversion

  3. Bitbucket Server

  4. CVS

Infrastructure-As-A-Code Tools

IaC is a set of tools meant to make various systems as closely configured as possible. They are a solution to the problem of inconsistency. By deploying cloud computing using code rather than manually, you ensure that all systems are identical. DevOps Need laC tools for scalability , reliability , better testing and version controlling.

Terraform

The most well-known open-source tool for infrastructure automation is Terraform. It aids in deploying, maintaining, and configuring infrastructure as code. Terraform makes it simple to design and build IaC across many infrastructure providers using a single process. The necessary infrastructure is defined as code using a declarative approach.

You may swiftly create various environments with the same configuration and manage your desired infrastructure’s whole lifespan, eliminating human mistakes and improving automation in the infrastructure provisioning and management process.

Features

  • Manage Virtual Machine Images

  • Multi-Cloud Deployment

  • Integrate with Existing Workflows

  • Declarative

  • OpenSource

  • large community with enterprise support

Some honorable mention

  1. AWS cloudformation

  2. Azure resource management

  3. Google Cloud Deployment Manager

  4. puppet

Builds Management Tools

The process of automating all the steps necessary to compile and build application software is known as build management or build automation.
Build tools are tools that are used for build automation. The following are some of the build management tools.

Gradle

Gradle is a free and open-source build management system. It was developed in Java, Kotlin, and Groovy. Gradle is focused on performance and must be quicker than the Maven tool for large projects.

Gradle is a build automation tool known for its versatility in software development, the code is compiled, linked, and packaged during the construction process. With the assistance of build automation tools like gradel, the process becomes more uniform.

Features

  • Easy to use and maintain

  • Supports dependency management

  • Integration process is bit easier

  • Provides support for a multi-project framework

Some honorable mention

  1. Ant

  2. Maven


Lifecycle Management Tools

Creating own use case is one of the most effective ways for a company to determine which lifecycle Management solution or solutions will best fit its needs. To develop a use case, a firm must express its pain points or the difficulties that are causing the most crucial bottlenecks in the current process.

An organization must also be aware of its own size, history, financial position, employee experiences, etc. The organization may then prioritize the features of lifecycle Management solutions based on their significance in managing its use cases.

Jira

Jira was originally envisioned to be a bug and problem tracker. Today, however, Jira has developed into a potent work management solution for a variety of use cases, including agile software development and the management of requirements and test cases. Jira serves as the core center for the stages of coding, collaboration, and release. Jira is offered as both a SaaS and an on-premises solution.

Features

  • Tracking time spend on issues

  • WEB and mobile version both available

  • Tracks ongoing projects at any stage

  • Integrate effortlessly with Bitbucket, GitHub, and Microsoft Teams

Some honorable mention

  1. Trello

  2. Raygun

  3. Bugzilla

  4. Azure Devops

  5. Github issues


It is essential to look into the present development process requirements, demands, strengths and weaknesses, and maturity before picking the proper DevOps tools. If tools are supplied by several vendors, compatibility must be considered. It is frequently advised to utilize an integrated suite to ensure a seamless procedure.