DevOps is a process that combines software development (Dev) and IT activities, which enables organizations to carry software releases and new changes to users in a fast environment using automation. Various DevOps tools are available to suit each specific DevOps requirement. Choosing the right hardware is becoming an increasingly challenging task for stakeholders. In addition, we recommend that one tool cannot be a complete solution for DevOps implementation.
Look at the top 20 DevOps tools that can dominate the software industry 2022.
Puppet
Puppet Enterprise is the most advanced integrated configuration management tool for configuring, deploying, and managing servers to make deployments faster and more secure. It configures each of your hosts and manages servers by dynamically scaling machines up and down. Puppet constantly checks for the presence of the configuration. If not, it returns the required configuration to the host.
Puppet has a master-slave design. Communication is usually done over a secure SSL-encrypted channel. It automates infrastructure management by giving the entire infrastructure as code.
Enterprise Puppet allows you to manage multiple teams and resources. It also can intelligently handle disasters. It has several components that can be quickly integrated with many other popular DevOps tools.
Docker
Docker is a popular DevOps technology stack that enables DevOps teams to build and run distributed applications quickly and efficiently. It works on the concept of process-level efficiency. Docker creates an isolated environment for container applications to eliminate conflicts between applications. Separating applications into different containers makes applications more portable and more secure.
Docker provides flexible image management. It supports a separate registry for storing, managing, and organizing images. Docker allows you to create or modify existing images to suit your requirements. Docker is the first to popularize containerization in the IT world. It facilitates rapid deployment, enables distributed development, and automates application deployment. Docker programs are OS and platform-independent and easily integrate with cloud computing. All popular cloud providers, such as Google and AWS, have added Docker support.
Jenkins
Jenkins is a CI/CD mechanization tool for monitoring the execution of repetitive tasks. It is open source, written in Java, and ready to work with operating systems. It offers a number of plugins for continuous amalgamation, which is the most important part of DevOps. The Jenkins CI/CD service allows you to automate various stages of the delivery pipeline.
It provides CI/CD for any combination of coding language and source code repository using a pipeline system. The “Pipeline as Code” functionality turns the CI/CD pipeline into finished code and enables integration across the entire DevOps chain. In addition, Jenkins has almost a thousand plugins that help integrate all stages of DevOps effectively.
Bamboo
Like Jenkins, Bamboo is a CI/CD DevOps tool that allows you to automate your delivery pipeline from build to deployment.
Bamboo has many built-in features that must be configured manually in Jenkins. That’s why Bamboo has only about 100 plugins, while Jenkins has over 1000. Bamboo needs more plugins because it has built-in features to perform out-of-the-box functions. So, Bamboo can save you a lot of time regarding configuration. Here are the main differences between paid software and its free alternatives. Therefore, the choice of hardware depends on your budget and goals.
Bamboo easily integrates with other popular products such as Jira and Bitbucket. It also provides a built-in Git access and testing environment. Moreover, the user interface is intuitive and has tooltips, autocomplete, and other convenient features.
Terraform
Terraform is a cloud infrastructure delivery tool that defines infrastructure using code. It generates a graph of all resources, creates and modifies any independent source in parallel, and supports different versions. Terraform uses municipal files to maintain the state of the infrastructure. It creates an implementation plan that specifies the steps to achieve the desired state and executes the plan to build the specified infrastructure. Thus, Terraform allows DevOps teams to efficiently and securely create and modify infrastructure using a reliable human interface. It works effectively with both cloud and private infrastructure.
Ansible
Logic is a simple and easy-to-deploy configuration management tool that provides continuous delivery features for rapid deployment. It automates application deployment, cloud provisioning, runtime orchestration, and many other repetitive tasks. It does not require a lot of additional security infrastructure.
Ansible connects nodes and creates small programs called pods. It then executes these pods and removes them when the execution is complete.
Like Puppet, Ansible treats infrastructure as code. However, it uses YAML to describe automated functions in the form of playbooks. Being agentless, Ansible provides a fast, secure, and lightweight configuration management solution because no agents or daemons are running in the background. Thus, it helps the DevOps team speed up production.
Chef
It’s a Ruby-based DevOps tool for web-scale IT operations. It deals with infrastructure management. Configuration management ensures that all machines, whether physical, virtual, or cloud and the files and software on the machines are configured correctly and working as expected. When the infrastructure is small, it can be easily organized, even manually. However, when the infrastructure is modernized, a better solution is required.
Chef offers a solution that treats infrastructure as code. Instead of manually configuring everything, such as databases, load balancing, and web servers, the configuration uses a Chef recipe. Chefs use cookbooks to store a collection of recipes. In cookbooks, applications are written in a domain-specific language.
Chef is a useful DevOps tool for speeding up complex tasks and automating them. Many large companies use Chef to effectively manage their data centres and cloud environments. Chef’s high availability and recovery features allow you to adapt and recreate your infrastructure as needed if something goes wrong, ensuring downtime and high availability of machines with minimal human intervention.
Vagrant
Vagrant is a DevOps tool that focuses on automation. It works seamlessly on countless operating systems like Windows, Linux, and Mac OS. Vagrant creates a single file for each project that, by default, describes the type of machine and software that users want to install. It focuses on CI/CD arrangement and helps the DevOps team create the perfect development environment. It offers a single virtual machine environment, is easy to set up, and ensures a consistent workflow by reducing setup time and improving production integration. Vagrant provides plugins for easy integration with other common configuration management tools such as Puppet, Ansible, Chef, and Salt.
Git
Git is one of the software industry’s most widely used DevOps tools. It is a favourite tool for remote teams and open-source contributors. It is a circulated source code management (SCM) tool that allows inventors to track the progress of their development work while maintaining different source code versions. And they can quickly revert to an older version when needed.
Git can be easily integrated into DevOps workflows through hosted repositories where DevOps team members can push their work forward. Currently, GitHub and Bitbucket are the two best Git repository hosting services for which GitHub is known. While Bitbucket offers unlimited free private spaces for a team of up to five members, GitHub only provides free access to public spaces.
Kubernetes
Nowadays, everyone is talking about Kubernetes, a container orchestration platform founded by Google. It handles containers to a large extent and takes containerization to the next level. It works well in blend with Docker or any equivalent. In Kubernetes, containers can be divided into logical units. Kubernetes allows you to program the process of managing hundreds of ampules.
Kubernetes makes it easy to arrange containerized applications on a cluster of machines instead of a single machine by automating the dispersal and scheduling of containers in the cluster.
A Kubernetes cluster operates on a master-slave principle. Predefined rules are implemented on the master node and the containers hosted on the slave nodes. Kubernetes takes care of everything. Whenever a slave node fails, Kubernetes redistributes the containers to other nodes.
Nagios
It’s one of the most popular open-source structure monitoring tools. DevOps teams can monitor the network and infrastructure to help them find and fix problems. It also allows them to monitor events, interruptions, and failures. It has a network analyzer allows it to identify nodes and optimize bandwidth usage. In addition, Nagios enables DevOps teams to create reports and graphs to track success and failure trends. This makes predicting failures and errors easier and helps identify potential security threats.
Nagios has been in the software industry since 2002. Therefore, it has released many plugins and a large communal that creates tutorials, add-ons, and other necessary things.
Nagios offers the following open-source monitoring solutions that provide DevOps teams with a comprehensive solution for monitoring the entire infrastructure:
Nagios Core has a one-line interface and offers basic functionality.
Nagios XI, a web-based graphical interface. It has a monitoring conjurer that helps DevOp teams monitor all critical infrastructure components, such as desktop and server operating systems, amenities, network protocols, and applications.
Nagios Log Server allows developers to search log data, simplifying the search process. It also allows them to set alerts on potential security threats.
Nagios Fusion allows developers to monitor multiple websites at once.
QuerySurge
QuerySurge is an intelligent data mining tool that enables data mining. It can be easily integrated into a DevOps pipeline for high-speed continuous testing and validation of large volumes of data. QuerySurge comes with a robust API with a number of calls to systematize the entire process of testing big data, data warehouses, ETL processes, and BI reports using a DevOps strategy. This can significantly expand data coverage and validate key transformation rules between multiple sources and target systems.
QuerySurge runs automatically without human intervention, runs all tests, and reports test results. It also reports full details of any data failure. All team members receive test results via email from QuerySurge.
QuerySurge can automate CI/CD through a command line API, continuously sleuthing data issues in the transport channel.
Buddy
It’s a CI/CD tool with a highly flexible automation pipeline to build, test, and deploy software. Buddy is used to lower the threshold of DevOps, and actions are the core of Buddy. These steps are nothing but steps implemented in the pipeline. Each pipeline can have an indefinite number of layers. It also supports all popular languages and frameworks. Buddy can be easily unified with AWS, Azure, Google, and other services. A repeatable pipeline can also monitor applications and services’ health, performance, and health.
Gradle
Since 2009, Gradle has consistently proven itself as an amazing and reliable build tool in the DevOps toolbox. It gained popularity when Google appointed it as the official build tool for Android Studio. Gradle allows developers to write code in any popular language like Python, C++, and Java, and most popular IDEs like Eclipse, IntelliJ IDEA, and Netbeans support it.
While other automated build tools like Maven and Apache Ant use XML for configuration, Gradle is underway using a Groovy-based DSL to define build scripts. In 2016, the Gradle team unconfined a Kotlin-based DSL. The Gradle repository format is similar to Maven’s, and Ant builds can be easily introduced into Gradle.
Gradle provides incremental builds that save a lot of compilation time. This is the last part of Gradle. Additionally, Gradle has a build cache that reuses the work results, and the daemon stores the build data in memory between builds. These two components make Gradle a hundred times more productive than Maven. In addition, Gradle has several configuration options.
Raygun
Raygun is an excellent application performance monitoring (APM) tool. It provides a fantastic bug-tracking and crash-reporting platform that helps identify performance issues and link errors to the correct source code line, function, or API call. Raygun’s bug management system automatically identifies the highest priority issues and always notifies the development and operations teams.
PagerDuty
It’s a DevOps tool that provides a real-time operations platform that supports a continuous delivery strategy. It includes incident management solutions that help organizations improve their reputation. When business-impacting events occur, and there are only seconds to prepare an interactive response, PagerDuty detects and resolves development events in production by collecting data signals from everywhere, interpreting these signals, and associating the accuracy and weighting of individuals. Resolution. It also enables DevOps teams to build high-performing applications with robust alerting, real-time collaboration systems, user reporting, scheduling, and automated updates.
Ganglia
Ganglia is a scattered monitoring tool for high-performance computing systems. This DevOps tool is based on a classified architecture that uses XML for data illustration, XDR for data structure, and RRDtool for data storing and visualization. Ganglia is oriented towards groups and grids and can handle groups with two thousand nodes. It provides very low throughput per node and high throughput due to carefully designed data structures and algorithms.
OverOps
OverOps is a DevOps tool that helps teams quickly detect the root cause of a bug or server failure. It can quickly find the cause of a code failure in production and send the full source code to fix the error. It can also determine when the error occurred. Thus, it effectively reduces the time spent on inventory analysis and helps the DevOps team spend more time implementing important features.
OverOps frequently identifies, prevents, and fixes the root cause of an error. It proactively detects and prioritizes critical software issues for each code release and identifies errors (if any) during the deployment process. If a release is unreliable, OverOps quality gates block its deployment. It then reliably fixes the error using the correct state of the code and environment at the time of the event.
Splunk
Splunk is a great tool that includes an analytics solution with actionable data that provides actionable insights to DevOps teams. Think of a machine regularly receiving data from websites, applications, and devices. You want to search, analyze, and visualize machine data or logs in real-time. You also want to analyze the machine’s health and determine the stage at which the equipment failed. Splunk is the perfect platform for this. You can send data to the Splunk engine, which processes it. Once the processing is complete, the relevant data is outputted. This way, you can quickly determine the exact problems and their location.
Snort
Snort is one of the open-source DevOps security tools. It helps the team to detect intruders and identify malicious attacks on the system. It can analyze traffic and packet data in real-time. It can also analyze protocols, search and match content, and detect flooding, CGI attacks, OS fingerprinting, and other attacks.
