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Saturday, 7 September 2019

Microsoft Azure DevOps Syllabus for deep learning

Getting started with Azure DevOps.
  1. Overview of Azure DevOps
  2. What DevOps Service and DevOps Server.
  3. Create Azure DevOps Account
  4. Roles And Responsibilities in Azure DevOps
  5. Create Project and User mapping to Azure DevOps
  6. Azure DevOps access to Different roles
  7. Project management using Azure DevOps
  8. Test case Management through Azure DevOps
  9. Methodologies In Azure DevOps (SCRUM,AGILE,CMMI)
  10. Deployment Group Creation
  11. Configure the Azure DevOps  service in the virtual machines
  12. Agent management in the Azure DevOps.
  13. Capacity Planning using Azure DevOps.
  14. Can Ban Board Management
  15. Scrum Management


Azure DevOps Keywords
  1. Organization
  2. Projects
  3. Azure Board
  4. Dashboard
  5. Wiki
  6. Repos
  7. Pipelines
  8. Test Plans
  9. Artifacts


Repository Management/Branch Management
  1. Create the New repository
  2. Create the Master branch
  3. Create the Own Branches based on the developer requirement
  4. Branch merging
  5. Import Repository from Outside of the vsts to vsts
  6. Creating Pull requests And Accepting Pull Requests


CI/CD Process Using Vsts and Azure
  1. Task Creation Based on the Application Repository
  2. Create the CI Process
  3. Build Setup
  4. Environments Setup
  5. Authenticate Build to Azure Web service
  6. Failover Mechanism
  7. Load balancing
  8. Cluster Creation for Load Balancing
  9. Continues Integration Setup
  10. Test Cases Build
  11. Build alerts Configuration
  12. IAAS Deployments
  13. PAAS Deployments
  14. Micro Services Deployment using Azure
  15. Alerts Configuration Using Azure
  16. Arm Build and Release templates Creation
  17. Build And deployments through powershell
  18. Big bucket Jenkins internal configuration using Vsts for ci cd
  19. Build And Deployments Authentication and authorization


Working with Azure App service
  1. Overview of App Service
  2. Deployment in App Service
  3. Deploy and maintaining web apps
  4. Configuring web apps
  5. Monitoring web apps and WebJobs
  6. Traffic Manager


Working with Azure SQL Database
  1. Overview of SQL Database on Azure
  2. How to Deploy Azure SQL Database
  3. Implementing and managing Azure SQL Database
  4. Managing Azure SQL Database security
  5. Monitoring SQL Database in Azure
  6. Managing Azure SQL DB recovery
  7. Import and Export Data


Working with Active Directory
  1. Overview of Active Directory
  2. Why need AD for Azure
  3. Active Directory Configuration in Azure
  4. Domain Controller in Azure
  5. AD Federated Services in Azure
  6. Custom domain
  7. Monitoring Azure Active Directory


Microsoft Azure Syllabus for deep learning

Introduction to cloud computing and Microsoft Azure
Types of cloud computing
  1. What is What is Cloud Computing
  2. SaaS: Software as a service
  3. PaaS: Platform as a service
  4. IaaS: Infrastructure as a service
  5. Advantages and Disadvantages of Cloud Computing
Azure services
  1. Compute services
  2. Data services
  3. Application services
  4. Network services
Azure key concepts
  1. Datacenters and regions
  2. Azure portal
  3. Resources
  4. Resource groups
  5. Resource Manager templates
Automation
  1. Azure PowerShell
  2. Azure command-line interface
  3. REST APIs
Getting started with Azure subscriptions & pricing Calculation
  1. Select and enable an Azure subscription
  2. Grant administrative access to an Azure subscription
  3. View billing information in the Azure portal
  4. Get billing information from billing APIs
  5. Forecast cost with the pricing calculator
  6. Set up billing alerts
Azure Resource Manager
  1. Tips for creating resource groups
  2. Building Resource Manager templates
  3. Security of Azure resources (RBAC)
Azure App Services - Web Apps
  1. Introduction
  2. App Types
  3. Deploying Web App directly from Visual Studio.
  4. Scaling a Web Apps
  5. Application Settings Configuration

Azure SQL Database 
  1. Introduction/Overview.
  2. Creating and Using SQL Server and SQL Database.
  3. Azure SQL Database Tools.
  4. Using Azure SQL Database with EF Code First.
  5. Migrating on premise database to SQL Azure.
  6. Elastic Storage.
  7. Manage Business Continuity
  8. Azure SQL Database vs SQL Server in IaaA VM

Azure Virtual Machines
  1. Use cases
  2. Deployment of virtual machines
  3. Portal
  4. PowerShell
  5. Command-line interface
  6. Access and security for virtual machines
Azure Storage
  1. Use cases
  2. Blob storage
  3. File storage
  4. Table storage
  5. Queue storage
  6. Deploying a storage account
  7. Portal
  8. PowerShell
  9. Command-line interface
  10. Access and security for Azure Storage
  11. Virtual machine disks
  12. Storage tools
  13. Storage API
  14. Storage access keys
  15. Shared access signatures
  16. C# / MS.NET Azure Storage SDK
Azure Virtual Network
  1. Use cases
  2. Cloud-only virtual networks
  3. Cross-premises virtual networks
  4. Deploying a virtual network
  5. Portal
  6. PowerShell
  7. Command-line interface
  8. Access and security for virtual networks
Azure Web Jobs
  1. Logic App
  2. Web Jobs
  3. Microsoft Flow
  4. Functions
Azure Service Bus 
  1. Service Bus Basics
  2. Relayed Messaging
  3. Service Bus Queues
  4. Topics and Subscriptions

Azure Active Directory 
  1. Azure AD Introduction
  2. Relationship between AD DS and Azure AD
  3. Managing Active Directories
  4. Adding a custom domain name to Azure AD
  5. Managing Users, Groups and Devices
  6. Adding Co-Administrators for a Subscription
  7. Configuring Role Based Access Control
  8. Integrating On-Premise AD Identities with Azure AD
  9. Integrating Gallery Applications with Azure AD
  10. Integrating On-Premise Applications with Azure AD
  11. Implementing Azure AD B2B Collaboration


Bikesh Srivastava Azure, DevOps, Syllabus, Training & Seminar
Wednesday, 5 June 2019

Agile Vs. DevOps: What’s the difference?

What is DevOps?

DevOps is a software development method which focuses on communication, integration, and collaboration among IT professionals to enables rapid deployment of products.
DevOps is a culture that promotes collaboration between Development and Operations Team. This allows deploying code to production faster and in an automated way. It helps to increases an organization's speed to deliver application and services. It can be defined as an alignment of development and IT operation.

What is Agile?

Agile Methodology involves continuous iteration of development and testing in the SDLC process. This software development method emphasizes on iterative, incremental, and evolutionary development.
Agile development process breaks the product into smaller pieces and integrates them for final testing. It can be implemented in many ways, including scrum, kanban, scrum, XP, etc.

Agile Vs. DevOps

Stakeholders and communication chain in a typical IT process.
Agile addresses gaps in Customer and Developer communications
DevOps addresses gaps in Developer and IT Operations communications

Difference Between Agile and DevOps

Parameter
Agile
DevOps
What is it?
Agile refers to an iterative approach which focuses on collaboration, customer feedback, and small, rapid releases.
DevOps is considered a practice of bringing development and operations teams together.
Purpose
Agile helps to manage complex projects.
DevOps central concept is to manage end-to-end engineering processes.
Task
Agile process focusses on constant changes.
DevOps focuses on constant testing and delivery.
Implementation
Agile method can be implemented within a range of tactical frameworks like a sprint, safe and scrum.
The primary goal of DevOps is to focus on collaboration, so it doesn't have any commonly accepted framework.
Team skill set
Agile development emphasizes training all team members to have a wide variety of similar and equal skills.
DevOps divides and spreads the skill set between the development and operation teams.
Team size
Small Team is at the core of Agile. As smaller is the team, the fewer people on it, the faster they can move.
Relatively larger team size as it involves all the stack holders.
Duration
Agile development is managed in units of "sprints." This time is much less than a month for each sprint.
DevOps strives for deadlines and benchmarks with major releases. The ideal goal is to deliver code to production DAILY or every few hours.
Feedback
Feedback is given by the customer.
Feedback comes from the internal team.
Target Areas
Software Development
End-to-end business solution and fast delivery.
Shift-Left Principles
Leverage shift-left
Leverage both shifts left and right.
Emphasis
Agile emphasizes on software development methodology for developing software. When the software is developed and released, the agile team will not care what happens to it.
DevOps is all about taking software which is ready for release and deploying it in a reliable and secure manner.
Cross-functional
Any team member should be able to do what's required for the progress of the project. Also, when each team member can perform every job, it increases understanding and bonding between them.
In DevOps, development teams and operational teams are separate. So, communication is quite complex.
Communication
Scrum is most common methods of implementing Agile software development. Daily scrum meeting is carried out.
DevOps communications involve specs and design documents. It's essential for the operational team to fully understand the software release and its hardware/network implications for adequately running the deployment process.
Documentation
Agile method is to give priority to the working system over complete documentation. It is ideal when you're flexible and responsive. However, it can hurt when you're trying to turn things over to another team for deployment.
In the DevOps, process documentation is foremost because it will send the software to the operational team for deployment. Automation minimizes the impact of insufficient documentation. However, in the development of complex software, it's difficult to transfer all the knowledge required.
Automation
Agile doesn't emphasize on automation. Though it helps.
Automation is the primary goal of DevOps. It works on the principle to maximize efficiency when deploying software.
Goal
It addresses the gap between customer need and development & testing teams.
It addresses the gap between development + testing and Ops.
Focus
It focuses on functional and non-function readiness.
It focuses more on operational and business readiness.
Importance
Developing software is inherent to Agile.
Developing, testing and implementation all are equally important.
Speed vs. Risk
Teams using Agile support rapid change, and a robust application structure.
In the DevOps method, the teams must make sure that the changes which are made to the architecture never develop a risk to the entire project.
Quality
Agile produces better applications suites with the desired requirements. It can easily adapt according to the changes made on time, during the project life.
DevOps, along with automation and early bug removal, contributes to creating better quality. Developers need to follow Coding and Architectural best practices to maintain quality standards.
Tools used
JIRA, Bugzilla, Kanboard are some popular Agile tools.
Puppet, Chef, TeamCity OpenStack, AWS are popular DevOps tools.
Challenges
The agile method needs teams to be more productive which is difficult to match every time.
DevOps process needs to development, testing and production environments to streamline work.
Advantage
Agile offers shorter development cycle and improved defect detection.
DevOps supports Agile's release cycle.

Conclusion:
  • DevOps is a software development method which focuses on communication, integration, and collaboration among IT professionals.
  • Agile software development method emphasis on iterative, incremental, and evolutionary development.
  • Agile refers to an iterative approach which focuses on collaboration, customer feedback, and small, rapid releases.
  • DevOps consider as a practice of bringing development and operations teams together.
  • Agile method is to give priority to the working system over complete documentation. It is ideal when you're flexible and responsive.
  • In the DevOps, process documentation is foremost because it will send the software to the operational team for deployment.
Bikesh Srivastava DevOps

Life Is Complicated, But Now programmer Can Keep It Simple.