Numerous DevOps solutions have been developed as a result of technology advancements to facilitate collaboration and development. Want to update your DevOps methodology? Check out these crucial DevOps automation technologies that you need to employ in 2022 after that!
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1. K8s or Kubernetes
Google created the container orchestration platform known as Kubernetes. This open-source solution works with containers on an extensive scale and aims to further containerization. It facilitates managing containerized apps as logical units for easy scalability and deployment automation.
Key Kubernetes Features
use a variety of hybrid, private, or public cloud hosting services
able to expand without expanding your operations crew
may increase web server capacity to meet demand for software applications
It may be used by developers to scale the production of both mobile and web apps to the greatest levels of internet traffic.
during downtimes, online server instances deteriorate
Perfectly compatible with Docker Operates on the master-slave principle.
Docker 2.
Docker is a compact DevOps technology that uses a unified technique to simplify and accelerate several SDLC procedures. A Docker container image is a useful, independent package that has everything you need to execute an app.
You can access the containers with Docker Engine, and as a consequence, programmes can run in a distant environment.
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Key Docker Features
Utilizing Docker app, manage, run, and package deployed apps
You may browse a variety of images on Docker Hub from reliable publishers and the community.
Developers may collaborate, test, and create with Docker.
On several Windows and Linux Server Operating Systems, it includes container runtime.
features consistent packaging for many apps.
See also: An In-Depth Comparison of Kubernetes vs Docker
Nagios 3.
This is a well-liked DevOps tool that serves as a monitor for your whole system and infrastructure. Nagios is used by IT infrastructure monitoring teams to address and provide solutions for all infrastructure-related problems before they endanger the teams. As a result, it keeps an eye on your network, logs, apps, databases, and even protocols.
Nagios's Core Features
It is free to use because it is open source.
infrastructure improvements and maintenance schedules
discovers, evaluates, and keeps track of critical network infrastructure.
immediately resolves several problems
enables easy log searching
monitors network traffic and available bandwidth to ensure optimal use
handles log data via infrastructure 4, evaluates it, and archives it. Ansible
This tool is designed for cooperation and automated processes. It can increase productivity by integrating and automating testing, development, performance handling, and deployment. Ansible makes it simple to automate IT processes and the whole app life cycle.
For supporting various apps, Ansible has a number of modules. At every stage, complication may be avoided.
The Essentials of Ansible
reduces hazards caused by the IT infrastructure's lack of knowledge
Authentic, straightforward, and stable configuration management design
aids in system management and complexity avoidance
aids in the building of multi-tier apps 5. One of the best tools for remote teams and contributors to open-source projects is git. One of the most well-liked and utilised DevOps tools is also this one. It is a distributed SCM (Source Code Management) technology that allows programmers to monitor the progress of the creation of your app by keeping track of numerous source code iterations. If necessary, developers may just go back to the prior version.
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Two well-known Git repo hosting providers at the moment are BitBucket and GitHub. GitHub only allows free access to public repositories, but BitBucket allows limitless private repositories for teams of up to five users.
Git's main features include: support for remote development; branch workflow
enables a faster release cycle
It is an open-source, free DevOps tool.
6th aids pull request Puppet
This open-source application was developed to efficiently handle, monitor, and maintain infrastructure. Puppet can accelerate and safeguard the deployment since it is the most effective cross-platform configuration management solution. Additionally, it is the ideal DevOps application for managing several servers.
The master-slave architecture is present in Puppet. You may manage several resources and teams thanks to it. It has a variety of modules that may be coupled with other well-known DevOps tools and can manage difficulties with ease. Puppet can automate infrastructure management by considering the entire infrastructure as a piece of code.
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Puppet's main features are faster deployment
the entire architecture is automated.
ongoing detection and resolution of conflicts
reporting the current situation
provides client-server architecture
supports a variety of systems, including Cisco switches, IBM mainframes, and macOS servers
supports a variety of operating systems, including Windows, Linux, and UNIX
works for infrastructure as well as hybrid apps.
Silver 7.
Selenium is primarily employed to automate web-based applications. It can automate the testing and management of web-based applications. There are three main parts to it:
Grid: It allows you to scale up your testing efforts and manage several environments from a single place by running tests on various devices.
IDE is a Firefox and Chrome add-on that makes it simple to record and replay browser interactions.
WebDriver — It aids in scaling and distributing scripts across various settings and enables you to create customised, browser-based regression automation suites.
Characteristics of Selenium
makes programmes that are scalable
constructs test scripts in a variety of languages, including C#, PHP, Python, JavaScript, etc.
Use the same script across different settings.
8. Prometheus
Prometheus is an open-source, community-driven system and toolbox for performance monitoring. It produces alerts using a time series data model as a foundation. Additionally, it facilitates container monitoring. DevOps teams and cloud businesses frequently employ Prometheus' monitoring methodology.
The Node Exporter in Prometheus allows you to customise data collection from clients, and it creates metrics without compromising app performance.
Simple to modify
Scales utilising functional sharding and federation
possesses powerful PromQL reporting capabilities
includes a versatile query language.
monitors many microservices
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