DevOps Courses Online

About

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops). It aims to shorten the systems development life cycle and provide continuous delivery with high software quality. DevOps is complementary with Agile software development; several DevOps aspects came from Agile methodology.

Content

• Definition
• History
• Toolchains
• Relationship to other approaches
  • Agile
  • ArchOps
  • TestOps
  • Continuous delivery
  • DataOps
  • Site-reliability engineering
  • Systems administration
  • WinOps
  • Toyota production system, lean thinking, kaizen
  • DevSecOps, Shifting Security Left
• Goals
• Criticism
• Cultural change
  • DevOps as a job title
  • Building a DevOps culture
• Deployment
  • Architecturally significant requirements
  • Microservices
  • DevOps automation
• Adoption
  • DevOps practices and adoption

About

Jenkins is a free and open-source automation server. It helps automate the parts of software development related to building, testing, and deploying, facilitating continuous integration and continuous delivery. It is a server-based system that runs in servlet containers such as Apache Tomcat. It supports version control tools, including AccuRev, CVS, Subversion, Git, Mercurial, Perforce, ClearCase and RTC, and can execute Apache Ant, Apache Maven and sbt based projects as well as arbitrary shell scripts and Windows batch commands.

Content

• Introduction
• Plugins
  • Mailer
  • Credentials
  • Monitoring external jobs
  • SSH agents
• Security

About

This course is about a methodology for constructing big data applications. A methodology exists for the purpose of solving software development problems. It is made of development processes—workflows, ways of doing things—and tools to help concretise them. The ideal and guiding principle of a methodology is to facilitate the job and guarantee the satisfaction of stakeholders involved in a software project—end-users and maintainers included. 

Content

• Introduction
• DevOps and Big Data Modelling
• Modelling Abstractions
  • Introduction to Modelling
  • Platform-Independent Modelling
  • Technology-Specific Modelling
  • Deployment-Specific Modelling
• Formal Quality Analysis
• From Models to Production
• From Production Back to Models
  • Monitoring
  • Anomaly Detection
  • Trace Checking
  • Iterative Enhancement

About

This course on DevOps in AWS, will assist you with seeing how the best tech new businesses dispatch and scale their administrations on AWS, and will show you how you can do likewise. this course discloses how to regard framework as code, which means you can bring assets on the web and disconnected as effectively as you control your product. You will likewise assemble a constant mix and consistent organization pipeline to stay up with the latest. Whenever you have gotten to grasps will this, we'll proceed onward to how proportional your applications to offer most extreme execution to clients in any event, when traffic spikes, by utilizing the most recent advancements, for example, holders. Furthermore, you'll get bits of knowledge into observing and cautioning, so you can ensure your clients have the best experience when utilizing your administration. In the closing sections, we'll cover inbuilt AWS devices, for example, CodeDeploy and CloudFormation, which are utilized by numerous AWS chairmen to perform DevOps. Before the finish of this course, you'll have figured out how to guarantee the security of your foundation and information, utilizing the most recent and most unmistakable AWS instruments.

Content

• AWS instance using CloudFormation
• Infrastructure using Terraform
• Deploy application with Ansible
• CI/CD pipeline
• Monitor and securing AWS

About

About

Become familiar with the essentials and fundamental ideas of OpenShift that you should construct a basic OpenShift group and begin with conveying and overseeing Application. Much-required expertise in DevOps and Cloud Learning the essentials of OpenShift puts the information on a ground-breaking PaaS offering readily available. OpenShift is the cutting edge Application Hosting platform by Red Hat. Fabricate a solid establishment in OpenShift and container coordination with this course for novices. 

Content

• Introduction to features of OpenShift
• Implement OpenShift with Minishift
• Build Triggers and Image streams 
• Networking and Services
• OpenShift and GitLab SCM 
• Projects in OpenShiift

About

In computing, Puppet is a software configuration management tool which includes its own declarative language to describe system configuration. It is a model-driven solution that requires limited programming knowledge to use.

Puppet uses an open-core model; its free-software version was released under version 2 of the GNU General Public License (GPL) until version 2.7.0, and later releases use the Apache License, while Puppet Enterprise uses a proprietary license.

Built as cross-platform software, Puppet and Puppet Enterprise operate on multiple Unix-like systems (including Linux as well as Solaris, BSD, Mac OS X, AIX, HP-UX) and has Microsoft Windows support. Puppet itself is written in Ruby, while Facter is written in C++, while Puppet Server and Puppet DB are written in Clojure.

Puppet is designed to manage the configuration of Unix-like and Microsoft Windows systems declaratively. The user describes system resources and their state, either using Puppet's declarative language or a Ruby DSL (domain-specific language). This information is stored in files called "Puppet manifests". Puppet discovers the system information via a utility called Facter, and compiles the Puppet manifests into a system-specific catalog containing resources and resource dependency, which are applied against the target systems. Any actions taken by Puppet are then reported.

Content

• Introduction to Puppet
• Design
• Architecture
• Configuration for Puppet Agents
• Puppet Code
• Application of Puppet Code

About

PowerShell is a task automation and configuration management framework from Microsoft, consisting of a command-line shell and the associated scripting language. Initially a Windows component only, known as Windows PowerShell, it was made open-source and cross-platform on 18 August 2016 with the introduction of PowerShell Core. The former is built on the .NET Framework, the latter on .NET Core.

In PowerShell, administrative tasks are generally performed by cmdlets (pronounced command-lets), which are specialized .NET classes implementing a particular operation. These work by accessing data in different data stores, like the file system or registry, which are made available to PowerShell via providers. Third-party developers can add cmdlets and providers to PowerShell. Cmdlets may be used by scripts and scripts may be packaged into modules.

PowerShell provides full access to COM and WMI, enabling administrators to perform administrative tasks on both local and remote Windows systems as well as WS-Management and CIM enabling management of remote Linux systems and network devices. PowerShell also provides a hosting API with which the PowerShell runtime can be embedded inside other applications. These applications can then use PowerShell functionality to implement certain operations, including those exposed via the graphical interface. This capability has been used by Microsoft Exchange Server 2007 to expose its management functionality as PowerShell cmdlets and providers and implement the graphical management tools as PowerShell hosts which invoke the necessary cmdlets. Other Microsoft applications including Microsoft SQL Server 2008 also expose their management interface via PowerShell cmdlets.

Content

• Background
• Design
  • Cmdlets
  • Pipeline
  • Scripting
  • Hosting
• Desired State Configuration
• Versions
  • Windows PowerShell 1.0
  • Windows PowerShell 2.0
  • Windows PowerShell 3.0
  • Windows PowerShell 4.0
  • Windows PowerShell 5.0
  • Windows PowerShell 5.1
  • PowerShell Core 6
  • PowerShell 7
• Comparison of cmdlets with similar commands
• Filename extensions
• Application support
• Alternative implementation

About

KubeEdge is built upon Kubernetes and extends native containerized application orchestration and device management to hosts at the Edge. It consists of cloud part and edge part, provides core infrastructure support for networking, application deployment and metadata synchronization between cloud and edge. It also supports MQTT which enables edge devices to access through edge nodes.

With KubeEdge it is easy to get and deploy existing complicated machine learning, image recognition, event processing and other high level applications to the Edge. With business logic running at the Edge, much larger volumes of data can be secured & processed locally where the data is produced. With data processed at the Edge, the responsiveness is increased dramatically and data privacy is protected.

Content

• How it works?
• Advantages
• Architecture
• Kubernetes compatibility
• In the Cloud
• On the Edge

About

Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers. Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels. All containers are run by a single operating system kernel and therefore use fewer resources than virtual machines.

Contents

• What is Docker?
• Getting started
• Storage and data persistence
• Networking

About

Test-driven development (TDD) is a software development process relying on software requirements being converted to test cases before the software is fully developed, and tracking all software development by repeatedly testing the software against all test cases. This is opposed to software being developed first and test cases created later.

Content

• Test-driven development cycle
• Development style
  • Keep the unit small
• Best practices
  • Test structure
  • Individual best practices
  • Practices to avoid, or "anti-patterns"
• Benefits
• Limitations
• Test-driven work
• TDD and ATDD
• TDD and BDD
• Code visibility
• Software for TDD
  • xUnit frameworks
  • TAP results
• Fakes, mocks and integration tests
• TDD for complex systems
  • Designing for testability
  • Managing tests for large teams