DevOps is an approach that combines software development (Dev) and Information technology operations, which enables organizations to deliver software releases and new changes to users in a rapid environment with the help of automation. A wide variety of DevOps tools are available in the market as the prerequisites of every specific DevOps requirement. Deciding on the right set of tools is an ever-growing challenge for the stakeholders. Furthermore, we recommend that a single tool may not be a full-fledge solution to a DevOps adoption.
Let’s have a look at the 20 best DevOps automation tools that can dominate the software industry in 2022.
Puppet Enterprise is the most advanced cross-platform configuration management tool that is used to configure, deploy, and manage servers to make the deployment faster and secure. It configures each and every host in your infrastructure and manages the servers by scaling up and scaling down the machines dynamically. Puppet continuously checks whether the configuration is in place or not. If not, it reverts the required configuration on the host.
Puppet has a master-slave architecture. Communications are typically done through a secure encrypted channel over SSL. It automates infrastructure management by treating the entire infrastructure as code.
Puppet Enterprise enables you to manage multiple teams and resources. It is also capable of handling disasters smartly. It has several modules that can be integrated with many other popular DevOps tools very quickly.
Docker is a well known DevOps technology suite that allows DevOps teams to build and run distributed applications fast and efficiently. It works on the concept of virtualization at the process level. Docker creates isolated environments for container apps to eliminate the conflicts between the apps. Isolating applications into separate containers makes applications portable make them more secure as well.
Docker provides flexible image management. It maintains a private registry to store, manage images, and to configure image caches. Docker allows you to all together create your own images or to modify the current ones as per the requirements. Docker is the first one that has made containerization popular in the IT world. It facilitates faster deployment, makes distributed development possible, and automates the deployment of the apps. Docker apps are OS and platform-independent and easily integrated with cloud computing. All popular cloud providers like Google and AWS have added support for Docker.
Jenkins is a CI/CD automation tool for monitoring the execution of repeated tasks. It is open-source and written in Java and hence ready to run with any operating systems. It offers a number of built-in plugins for continuous integration, which is the most important part of DevOps. Jenkins CI/CD server allows you to automate various stages of your delivery pipeline.
It enables CI/CD for any combination of coding language and source code repositories using a pipeline system. Its Pipeline-as-code functionality makes the CI/CD pipelines a complete code and ensures integrating the entire DevOps chain. Moreover, Jenkins has around thousand plugins that helps to integrate all your DevOps stages efficiently.
Like Jenkins, Bamboo is also a CI/CD DevOps tool that allows automating the delivery pipeline, from builds to deployment.
Bamboo comes up with many pre-built functionalities, which need to be configured manually in Jenkins. This is why Bamboo has only around 100 plugin whereas Jenkins has more than 1000 plugins. In fact, Bamboo does need that many plugins as it has built-in features to perform out of the box tasks. Therefore, Bamboo can save configuration time a lot. Here is the basic difference between a paid software and its free alternative. Therefore, the selection of the tool depends on the budget and goals.
Bamboo effortlessly integrates with other popular products like Jira and Bitbucket. It also offers access to built-in Git and test environments. Moreover, its UI is more intuitive with tooltips, auto-completion, and other convenient features.
Terraform a cloud infrastructure provisioning tool in which the infrastructure is described using code. It generates a graph of all resources and creates and modifies any independent resources in parallel and maintain different versions. Terraform uses state files to maintain the state of infrastructure. It creates an execution plan where the steps of reaching the desired state is described and then executes the plan to build the described infrastructure. This way, Terraform facilitates the DevOps team to build and change infrastructure efficiently and in a safe manner with nominal human interactions. It efficiently works with both public and private cloud infrastructure.
Ansible is a fairly simple agent-less, easy to deploy configuration management tool that offers the continuous delivery feature enabling faster deployments. It automates application deployment, cloud provisioning, intra-service orchestration, and many other repetitive tasks. Ansible does not require further custom security infrastructure.
Ansible connects the nodes and pushes out small programs called modules to them. Then it executes these modules and removes them when the execution is complete.
Like Puppet, Ansible also considers the infrastructure as code. However, it uses YAML to describe the automation jobs in the form of playbooks. Being agentless, Ansible provides a faster, safe, and lightweight solution for configuration management automation because no agents or daemons run in the background. Thus it helps the DevOps team to speed up productivity.
Chef is a Ruby-based DevOps configuration management tool for web-scale IT operations. It deals with managing the infrastructure. Configuration management ensures that all the machines whether they are physical, virtual, or in the cloud and the files and software in the machines are correctly configured and working as expected. When the infrastructure is small, it can be configured easily and manually as well. However, when the infrastructure scales up, it requires a better alternative solution.
Chef comes up with a solution that treats infrastructure as code. Instead of manually configuring everything like databases, load balancing, and web servers, the configuration set up is described in a Chef recipe. Chef uses Cookbooks to store a collection of recipes. In Cookbooks, the infrastructure is coded in a domain-specific language.
Chef is a useful DevOps tool to speed up complex tasks and to perform automation. Many big companies use Chef to manage their data centers, cloud environments effectively. The high availability and replication features of Chef are capable of adapting and recreating the infrastructure as required if something goes wrong, thus ensures low downtime and high availability of machines with minimal human interventions.
Vagrant is a DevOps tool that emphases on automation. It works effortlessly on different operating systems like Windows, Linux, and Mac OS. Vagrant makes a single file for every project where the type of the machine and software that users want to install are typically described. It focuses on CI/CD deployment and helps the DevOps team to get a perfect development environment. It offers to configure virtual machine environments in a single, easy-to-use, and consistent workflow by decreasing the setup time and increasing production uniformity. Vagrant offers plugins to easily integrate with other popular configuration management tools, such as Puppet, Ansible, Chef, and Salt.
Git is one of the most extensively used DevOps tools across the software industry. It is the most favorite tool of the remote teams and open source contributors. It is a distributed source code management (SCM) tool that allows developers to track the progress of your development work by maintaining different versions of the source code. And they can easily go back to a previous version whenever required.
Git can be easily integrated with the DevOps workflow by using host repositories where DevOps team members can push their work. At present, GitHub and Bitbucket are the two best online Git repo hosting services in which GitHub is more familiar. While Bitbucket provides free unlimited private repos for a team of up to five members, GitHub provides free access only to public repos.
Nowadays, everybody is talking about Kubernetes, which container orchestration platform founded by Google. It manages containers at large scale and takes containerization to the next level. It works well in combination with Docker or any of its equivalents. With Kubernetes, containers can be grouped into logical units. Kubernetes allows automating the process of managing hundreds of containers.
Kubernetes facilitates to deploy containerized apps to a cluster of computers instead of a single machine by automating the distribution and scheduling of containers across the cluster.
A Kubernetes cluster works on the master-slave concept. The pre-defined rules are implemented on the master node and the containers deployed on the slave nodes. Kubernetes takes care of everything. Whenever a slave node is down Kubernetes redistributes the containers on the other nodes.
Nagios is one of the most popular open-source infrastructure monitoring tools. It allows DevOps teams to monitor the network and infrastructure helps them to find and fix the problems. It also allows them to maintain records of events, interruption, and failures. It has a network analyzer that helps identify bottlenecks and optimize bandwidth utilization. In addition, Nagios allows DevOps teams to create reports and graphs to monitor the trends of success and failures. This facilitates forecasting failures and errors and identifying and potential security threats in advance.
Since 2002, Nagios has been in the software industry. Therefore, it has developed a rich set of plugins and a huge community that creates tutorials, add-ons, other things that are on demand.
Nagios offers the following open source monitoring solutions that provide DevOp teams with a complete infrastructure monitoring solution as a whole:
Nagios Core, which comes up with a command-line interface and provides basic functionalities.
Nagios XI, which is a web-based GUI. It has a monitoring wizard that helps DevOp teams to monitor all the critical infrastructure components like desktop and server operating systems, services, network protocols, and applications.
Nagios Log Server, which allows developers to search log data by simplifying the searching process. It also allows them to set alerts about potential security threats.
Nagios Fusion, which allows developers to monitor several networks simultaneously.
QuerySurge is a smart data testing tool that provides data intelligence and data analytics. It easily integrates into the DevOps pipeline for continuous testing and verifies huge amount of data at enormous speed. QuerySurge comes up with a robust API with a number of calls to automate the entire process testing Big Data, Data Warehouses, the ETL process, and BI Reports by using the DevOps strategy. It can drastically increase data validation coverage and validate crucial transformation rules between multiple sources and target systems.
QuerySurge runs automatically without human interventions, performs all the tests, and reports the test results. It also reports the entire details of each data failure. Everyone in the team receives the test results through an automated email sent by QuerySurge.
QuerySurge can automate CI/CD through its command-line API by continuously detecting data issues in the delivery pipeline.
Buddy is a CI/CD tool that uses extremely flexible automation pipelines to build, test, and deploy software. Buddy is used to lowering the threshold to DevOps while Actions are the founding blocks of Buddy. These actions are nothing but the steps that are executed in a pipeline. Each pipeline may have an unspecified number of levels. It is supported by all popular languages and frameworks as well. Buddy can be easily integrated with AWS, Azure, Google, and many more. It can also handle monitoring the status, performance, and health of applications and services with repetitively triggered pipelines.
Since 2009, Gradle is steadily proving itself an incredibly versatile and reliable build tool in the DevOps tool stack. It gained more popularity when Google designated it as the official build tool for Android Studio. Gradle allows developers to write the code in any popular languages like Python, C++, and Java, and most of the popular IDEs such as Eclipse, IntelliJ IDEA, and Netbeans support it.
While the other dominating automated build tools like Maven and Apache Ant use XML for configuration, Gradle started using a Groovy-based DSL to describe build scripts. In 2016, the Gradle team released a Kotlin-based DSL. The repository format of Gradle is the same as Maven’s and Ant builds can be easily imported into Gradle.
Gradle offers incremental builds that save a huge amount of compile time. This is the dest part of Gradle. Moreover, Gradle has build-cache, which reuses task outputs and daemon retains build information in memory in-between builds. These two components make Gradle’s performance a hundred times faster than Maven. In addition, Gradle comes with a number of configuration options.
Raygun is an outstanding application performance monitoring (APM) tool. It provides an excellent error monitoring and crashes reporting platform that helps you identifying the performance issues and linking errors back to the exact line of the source code, function, or the API call. Raygun’s error management workflow automatically identifies the highest priority problems and always notifies the Devs and Ops teams about the problems.
PagerDuty is a DevOps tool that provides a platform for real-time operations that supports continuous delivery strategy. It offers incident management solutions to organizations helping to enhance their reputation. At the point when business-affecting issues happen and there are just seconds to arrange a cross-functional reaction, PagerDuty detects and resolves incidents from development through production by gathering data signals from everywhere, translating these signals, connecting with the right individuals, and scaling up the resolution. It also lets DevOps teams deliver high-performing apps with the reliable and real-time alerting facility, real-time collaboration system, user reporting, scheduling, automated escalations, and many more.
Ganglia is a distributed monitoring tool for high-performance computing systems. This DevOps tool is based on a hierarchical design that uses XML for data representation, XDR for data structure, and RRDtool for data storage and visualization. Ganglia is targeted to clusters and Grids and is capable of handling clusters with two thousand nodes. It achieves very low per-node overheads for high concurrency by using its carefully designed data structures and algorithms.
OverOps is the DevOps tool that helps the team to quickly identify the root cause of an error or the root cause of the server crash. It can quickly detect the reason for the code breaks in production and delivers the complete source code to fix the error. It can also identify when this error occurred. This way, it efficiently reduces the time wasted filtering through logs thus helps the DevOps team to spend more time introducing important features.
OverOps mainly identifies, prevents, and resolves the root cause of error. It proactively detects and prioritizes the critical software issues in each code release and identify the errors (if any) in the deployment process. If the release is not reliable, the quality gates of OverOps block the release from being deployed. Then, it resolves the error with continuous reliability using the exact state of the code and environment at the moment of the event.
Splunk is an awesome tool, which comes with an analytics solution with actionable insights that provide operational intelligence to DevOps teams. Consider that you have a machine that generates data continuously from websites, applications, and devices. You want to search, analyze and visualize the machine-generated data or logs in real-time. You also want to analyze the machine state and identify the step in which the hardware failed. Splunk is an ideal platform to get this. You can push the machine data to Splunk, which processes the data for you. Once the processing is done, it extracts the relevant data. Therefore, you can easily detect exact problems and the location of the problems as well.
Snort is one of the most widely open-source DevOps security tools. It helps the team in detecting intruders and highlights malicious attacks against the system. It has the capability of analyzing real-time traffic and packet logging. It can also analyze protocol, search and match contents, and detect buffer overflows, CGI attacks, OS fingerprinting attempts, and other attacks.