DevOps Certification Training Course Online

Why DevOps Online Certification Course from ACTE?

ACTE offers DevOps Online Training with real-time projects and industry-recognized course completion certificate. The DevOps Online Training course is designed to give you in-depth knowledge of various DevOps tools such as Git, Jenkins, Docker, Puppet, and Nagios. You will also learn to implement DevOps best practices such as Continuous Integration, Continuous Delivery, and Infrastructure Automation. By the end of the course, you will be able to design and deploy a complete DevOps environment. The course also covers topics such as cloud computing, automated testing, monitoring, and deployment of applications in a real-world scenario.

What are the Prerequisites for DevOps Online Course?

The prerequisites for a DevOps online course will vary depending on the program. Generally speaking, some of the skills and experiences that can be helpful for taking a DevOps online course include:

• Experience with coding languages such as Python, Ruby, and JavaScript
• Understanding of version control systems such as Git and SVN
• Experience with agile software development
• Knowledge of Linux/Unix, Bash scripting, and command line tools
• Knowledge of automated testing tools such as Selenium and Jenkins
• Experience with cloud computing platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform
• Knowledge of container technologies such as Docker and Kubernetes

Potential Future Applications of DevOps:

• Security DevOps: The security industry is unusual in that the more you automate, the more likely you are to automate problems. As a consequence, all automation in this area is controlled organically, opening up huge opportunities for DevOps mindset. This is the DevOps philosophy's governance and ethical standards. DevOps must provide security practises that ensure the integrity of the application and compliance with the company's security regulations.
• Artificial Intelligence and Machine Learning in the DevOps Framework: The DevOps methodology, cloud-native approach, and microservices architecture have altered the software development life cycle. DevOps integrates the testing and production environments, enabling developers to identify problems before they go live. Using AI and machine learning in DevOps pipelines may help you run builds and automation much more effectively and with more control. People are shifting from DevOps to DataOps and AIOps, which emphasise the use of artificial intelligence and machine learning to learn from logs and monitoring data in order to drive DevOps in a more controlled way.
• Automation for Every Business: Everything in today's world is done over the internet. The majority of enterprises are becoming into IT corporations that provide specialised services. Booking.com, for example, was formerly a travel business but is now an IT corporation that provides travel services. The software of any firm is the critical component that generates sales and income. As a consequence, all modern organisations must automate software deployment and infrastructure provisioning. Automation allows for quicker development of solutions to current challenges as well as faster maintenance of existing systems.
• Container Technology: Container technology is rapidly evolving and increasing. Containers may be utilised in a variety of ways to deliver varied advantages. Containers may be utilised for secure and resource-limited programmes. Containers per user or session are being researched. This notion brings up a plethora of opportunities for improving user security, system security, and user analytics. Because of containerization
• Platform as a Service (PaaS): Platform as a service (PaaS) is a fast growing industry with several DevOps applications. They are no longer interested with developing a full application infrastructure. DevOps has various uses in supplying PaaS solutions, including configuration management, continuous security, and containerization. Who knows, maybe in the future, technology will evolve to the point where developers will only need to specify a few markers or entry points in their programme, and this will be enough for the application to be hosted or deployed on its own.
• DevOps with a Focus on Edge Service Integration: The traditional on-premises methodology is changing. Public clouds are gaining popularity and acceptance, and even traditional enterprises are migrating to cloud-based solutions owing to the potential cost savings. By integrating configuration management tools with container technology, businesses can now totally automate infrastructure provisioning and administration. This bodes well for the future of DevOps.
• Security Integration Will Need DevOps: The majority of security breaches are the result of an application layer flaw. Companies are now aiming to prevent all of these risks by using a mature and secure software development approach. Companies are increasingly adopting a programmatic approach to application security, including security into the early stages of the software development lifecycle. As a consequence, developers will be able to spot code faults throughout the development process, ensuring the security of the product before the formal testing phase.
• Position of the code: The transition from development to operations is arduous and time-consuming. DevOps is said to prioritise "jobs-as-code" in the software delivery lifecycle. This might be used as code automation instrumentation. Along with the Infrastructure as a Code approach and CI/CD pipelines, this strategy will help shorten the development-to-operations time gap. Job as a Code extends DevOps technology by enabling tighter integration of version control, test control, and maintenance management. This section outlines how applications are automated. This effectively describes "Automation guidelines".
• Containers Will Precede Configuration Management: Container orchestration solutions are wreaking havoc in the DevOps world. Einsteineruploading to meet up with. The DevOps community will have to embrace this new Infrastructure as Code methodology. In addition, the industry will standardise software version structures, decreasing the need for software configurations.

The Need for DevOps Expertise:

A deep grasp of Linux principles, Web Development fundamentals, and Java fundamentals. Since most DevOps initiatives are Linux-based, it is critical to be familiar with the Linux environment as well as related scripting languages such as Python, Pearl, or Ruby.Expertise of DevOps automation technologies such as: Continuous management (Puppet, Chef, and Ansible)

• Continuous integration (Travis CI, Jenkins, and Bamboo)
• Continuous testing (Test Complete, Docker, and Tricentis Tosca)
• Constant monitoring (Nagios, Sensu, and Splunk)
• Knowledge of the CI/CD process
• Understand IAS (infrastructure as code) models to handle deployment issues.

ACTE's basic and advanced online DevOps training courses give sufficient information and abilities to thrive in and establish the groundwork for a successful DevOps career.

DevOps as a Profession:

DevOps employs computer languages to design and automate applications. To become a DevOps engineer, you must first understand multiple programming languages, as well as particular DevOps technologies. Ruby, Python, and JavaScript are the three most prevalent languages used with DevOps technologies. It is recommended that you study at least one of these programming languages before working with DevOps technologies.

• Linux and Windows are easy to learn.
• Virtualization and Cloud Computing Ideas
• Basic networking ideas like I addresses, hosts, public and private networks, and basic coding skills for any software programming language.

In AWS Certification Training, What Skills Will You Learn?

• Source Code Management: The next step for a DevOps engineer is to master source code management. This is critical for keeping your projects structured, regardless of the amount of code sets you have. Learn at least one of the following standard source code management tools:

• Creating Mercurial Applications: A DevOps engineer must understand how to construct an application and commit to a source code management platform. Maven, an automation tool that helps develop and manage software projects in a short amount of time, is one of the most common approaches to create an application. Maven offers a seamless build process, enables parallel builds, and gives rapid access to new features with no extra setups.

• Automation with CI/CD Tool: To create an application, you'll need a project object model (POM) file. The POM file contains a collection of jars, instructions to be run, build plugins, and a build profile. DevOps engineers should utilise a continuous integration or continuous development (CI/CD) technology. There are several CI/CD tools available, such as Jenkins, TeamCity, Drone, and others. Jenkins is one of the most widely utilised automation technologies on the market. It's an open-source continuous integration solution that helps to automate the continuous development, testing, and deployment of freshly developed code.

• Application Testing: When you've finished the build process, you'll need to learn how to automate the web application testing process. Selenium is one of the greatest testing solutions for QA teams, including quick execution, scripting in several languages, and parallel test execution.

• Application Deployment: After the programme has been tested, it must be deployed and executed on the production server. To deploy an application, you must be familiar with the required containers and configuration management tools. Docker is a helpful tool for delivering software in containers. It features excellent scalability and efficiency, acceptable data quantities, and separated applications. Ansible is an agentless configuration management tool. Unlike other solutions in this industry, it can push settings to numerous servers and keep them in the proper condli/ition. It employs SSH for secure connections.

• Monitoring apps is another key part of a DevOps engineer. Any existing problems are detected at this stage, and fixes are executed immediately. Nagios is a popular application monitoring solution that offers comprehensive monitoring, high availability, and quick correction.

• Cloud service providers: A DevOps engineer should be familiar with cloud service providers and their fundamental apps. Cloud computing is an essential skill to acquire regardless of your sector of employment. Amazon Web Services (AWS) is the most popular cloud service in the market today. Many businesses put their infrastructure on the cloud because it offers more scalability, flexibility, and security. It is less expensive than other cloud providers.

To what end do developers use DevOps tools?

DevOps practitioners often include specific DevOps-friendly products in their DevOps "toolchain." These solutions aim to simplify, shorten, and automate the different steps of the software delivery process (or "pipeline"). Several of these solutions also support key DevOps principles like as automation, collaboration, and integration of development and operations teams. The following is a sample of tools used at different phases of the DevOps lifecycle.

Plan: This phase aids in the definition of business value and needs. Jira and Git are two examples of programmes that may be used to monitor known problems and manage projects.

Code: This phase involves the design of software as well as the production of software code. GitHub, GitLab, Bitbucket, and Stash are some examples of tools. At this phase, you manage software builds and versions, as well as employ automated tools to compile and package code for eventual production release. You utilise source code repositories or package repositories, which "package" the infrastructure required for product delivery. Docker, Ansible, Puppet, Chef, Gradle, Maven, and JFrog Artifactory are some examples of tools.

Test: Continuous testing (human or automated) is performed throughout this phase to guarantee optimum code quality. JUnit, Codeception, Selenium, Vagrant, TestNG, and BlazeMeter are a few examples.

Deploy: This phase may contain technologies that aid in the management, coordination, scheduling, and automation of product releases into production. Puppet, Chef, Ansible, Jenkins, Kubernetes, OpenShift, OpenStack, Docker, and Jira are some examples of tools. Operate: During this phase, software is managed. Ansible, Puppet, PowerShell, Chef, Salt, and Otter are some examples of tools.

Monitor: Identifying and collecting information about problems from a particular software release in production is part of this step. New Relic, Datadog, Grafana, Wireshark, Splunk, Nagios, and Slack are some examples of tools.

Advantages of DevOps:

• Ensure a quicker deployment: Faster and more regular upgrades and improvements will not only gratify consumers, but will also help your organisation stand out in a competitive industry.
• Make the work environment more stable: Do you realise that the stress associated with the delivery of new features, repairs, or upgrades may undermine the stability of your workplace and reduce overall productivity? Enhance your work environment by implementing a consistent and well-balanced approach to operations using DevOps methodology.
• Substantial product quality improvement: Cooperation between development and operations teams, as well as regular capture of user input, results in a considerable increase in product quality.
• Automation of monotonous chores frees up greater space for creativity: As compared to the old paradigm, DevOps provides more advantages since it aids in the detection and correction of issues more quickly and effectively. Once vulnerabilities are regularly checked through automation, the team has more time to brainstorm new ideas.
• Encourages business agility: It's no secret that making your company more flexible may help you remain ahead of the competition. DevOps has made it feasible to achieve the scale necessary to alter the company.
• Software delivery should be continuous: All departments in the DevOps technique are responsible for maintaining stability and adding new features. As a result, unlike the conventional way, software distribution is quick and uninterrupted.
• Quick and dependable problem-solving methods: One of the key advantages of DevOps is that it ensures a rapid and reliable response to technical faults in software management.
• Transparency leads to increased productivity: With the removal of silo(ing) and the encouragement of cooperation, this technique enables smooth communication among team members, allowing them to concentrate more on their specialised sector. As a result, integrating DevOps practises has resulted in an increase in productivity and efficiency among a company's personnel.
• Lowest possible manufacturing cost: With good coordination, DevOps may help your department save management and production expenses by bringing both maintenance and new upgrades under a larger single umbrella.

ACTE Online Training Objective  Is to provide  learning  as continuous process.Learn to continuously integrate, deploy, monitor, and test. All these are possible in one go and that is the mission of DevOps training. Thus Access to online recorded video allows you to repeatedly listen to lectures which surpass classroom training where you cannot listen to lecture more than once and assisting anytime to clarify your doubts with live projects. Upon completing the project you will be awarded a course completion certificate from us. This will authorize your DevOps skills.

DevOps Principles & Practices

• Consideration of Perspectives: The cultural change must be considered from the perspective of both the driver and the participants.
• Flexibility: In case of exceptional situations, the organization must be flexible enough even to temporarily let go of DevOps values.
• Integration Process: A process must be in place to integrate the changes made.
• Agile Decision Making: The teams must have the agility to be able to decide the tools they need to use based on their own skills and expertise.
• Transparency: There should be no hidden agenda between the Dev and Ops teams.

Online Classes

ACTE offers an online DevOps course that covers the basics of DevOps, including the principles, practices, and tools used in DevOps. This course is designed for individuals who need to gain a better understanding of DevOps and how it can help them in their current job roles. The course is broken down into four modules, which cover topics such as configuration management, continuous integration, release management, and infrastructure automation. Each module includes lectures, quizzes, and hands-on exercises to ensure that participants gain a comprehensive understanding of the concepts discussed. At the end of the course, participants will have a firm grasp of the principles, practices, and tools used in DevOps.