Business industries are experiencing changes in their technologies – mostly towards cloud computing. Cloud computing, defined as a web-based computing model, enables users to instantly share information with other devices and computers. This allows many people to access the same files and data with minimal effort and gives users the opportunity to easily store large amounts of data.Continue reading “Importance of Azure Certification”
To expedite and actualize DevOps process apart from culturally accepting it, one also needs various DevOps tools like Puppet, Jenkins, GIT, Chef, Docker, Selenium, Azure/AWS etc to achieve automation at various stages which helps in achieving Continuous Development, Continuous Integration, Continuous Testing, Continuous Deployment, Continuous Monitoring to deliver a quality software to the customer at a very fast pace.
Tools Required for
- Version Control System
- Configuration management
- Ticketing System
- Resource Monitoring
What is CI and CD
- Continuous integration is a software development practice where developers regularly merge their code changes into a central repository, after which automated builds and tests are run. The key goals of continuous integration are to find and address bugs quicker, improve software quality, and reduce the time it takes to validate and release new software updates.
- Continuous delivery is a software development practice where code changes are automatically built, tested, and prepared for a release to production. It expands upon continuous integration by deploying all code changes to a testing environment and/or a production environment after the build stage. When continuous delivery is implemented properly, developers will always have a deployment-ready build artifact that has passed through a standardized test process.
CI and CD enables agile teams to increase deployment frequency and decrease lead time for change, change-failure rate, and mean time to recovery key performance indicators (KPIs), thereby improving quality and delivering value faster. The only prerequisites are a solid development process, a mindset for quality and accountability for features from ideation to deprecation, and a comprehensive pipeline.
DevOps as a profession – DevOps Engineer
When the company’s management decides to shift to DevOps,
the need arises to train IT department specialists to master certain practices
and use new tools. In this case, either developers or system administrators
need to assume new job responsibilities.
A better alternative
may be hiring a professional with a clear understanding of the DevOps approach
and an ability to set all the necessary processes properly.
After getting software requirements specifications, a DevOps engineer starts setting up the IT infrastructure required for the development. When the IT infrastructure is ready and provided to developers, testers, and other specialists involved in the development cycle, a DevOps engineer ensures that the development and testing environments are aligned with the production environment.
If you ask the DevOps engineer what exactly they do, the answer will likely mention “automation”. What they actually mean is the following:
- Automating software delivery from the testing environment to the production.
- Managing physical and virtual servers and their configurations.
- Monitoring the IT infrastructure’s state and the application’s behavior.
Things to know to become a DevOps engineer
1.Linux and/or Windows Administrator
3.Cloud Management Skills
4.Practical Experience with Containers and orchestration
Below is a more comprehensive list of tools most commonly required to get a job in DevOps:
- Version control systems (Git, Team Foundation Server (TFS), Apache Subversion, etc.).
- Continuous integration tools (Jenkins, Travis CI, TeamCity, and others). ·Software deployment automation platforms (Chef, Puppet, Ansible, etc.).
- Systems monitoring tools (Grafana, Zabbix, Prometheus, and the like).
- Cloud infrastructure (AWS, Microsoft Azure, Google Cloud Platform (GCP), Alibaba Cloud, and more).
- Container orchestration tools (such as Kubernetes, Docker Swarm, Apache Mesos, OpenShift, Google Kubernetes Engine (GKE), Azure Kubernetes Service (AKS), WS EKS)
DevOps engineers’ average salary in the US is twice as high as that of a system administrator. The reason is quite simple —a competent DevOps engineer can greatly increase the efficiency of software development and operations.
Azure DevOps Features
You can use one or more of the following features based on your business needs:
1.Azure Boards delivers a suite of Agile tools to support planning and tracking work, code defects, and issues using Kanban and Scrum methods.
2.Azure Repos provides Git repositories or Team Foundation Version Control (TFVC) for source control of your code.
3.Azure Pipelines provides build and release services to support continuous integration and delivery of your apps.
4.Azure Test Plans provides several tools to test your apps, including manual/exploratory testing and continuous testing.
5.Azure Artifacts allows teams to share Maven, npm, and NuGet packages from public and private sources and integrate package sharing into your CI/CD pipeines.
Azure DevOps supports adding extensions and integrating with other popular services, such as: Campfire, Slack, Trello, UserVoice, and more, and developing your own custom extensions. Azure DevOps provides extensive integration with industry and community tools. It is far from the closed-off single vendor solution that was the early version of TFS. As noted above, there is a market place which makes hundreds of extensions available, so if Azure Develops doesn’t do something out of the box, odds are a tool exists in the market which does.
To Create an DevOps Account / Organization:
Sign up with a personal Microsoft account
2.Click Start free
3.Either Login with Existing Microsoft Account or Create a New one.
An organization is created based on the account you used to sign in. Sign in to your organization at any time,
Create a Project to get started
- If you signed up for Azure DevOps with a newly created Microsoft account (MSA), your project is automatically created and named based on your sign-in.
- If you signed up for Azure DevOps with an existing MSA or GitHub identity, you’re automatically prompted to create a project. You can create either a public or private project.
- A public Git Hub repository is accessible to everyone, whereas a private repositoryis accessible to you and the people you share it with. In both cases, only collaborators can commit changes to a GitHub repository.
1.Create an outlook ID
2.Activate your Subscription (FREE account or Azure Pass Sponsorship or get owner rights other users subscription)
4.Go to Azure Active Directory and create users firstname.lastname@example.org email@example.com
Invite team members
1.Create couple of outlook ids
2.Use primary email id and visit https://dev.azure.com/.
4.Create a project to get started
a. Project Name = “Demo Project”
b. Description = “For Demo”
c. Visibility = “Private”
d. Expand Advanced, Version Control = Git, Work Item process = “Agile”
e. Create Project
a. Use bread crump and navigate to Organization
b. Select Organization settings.
c. Select UsersàAdd new users.
d. Users = <Email Id of another User), Access level = Basic, Add to project = <project created before>, Azure DevOps Group=Project Contributors
Note: Youwill have to now login as another use and accept the invitation. Do the same in different browser..
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Azure DevOps Introduction
Azure DevOps (formerly Visual Studio Team Services) is a hosted suite of service providing development and collaboration tools for anyone who wants an enterprise-grade DevOps tool chain. Azure DevOps can help your team release code in a more efficient, cooperative, and stable manner. Azure DevOps has a lot of inbuilt functionality that allows teams to get up and running with managing their project and automating their workflows to increase productivity with a very short initial learning curve.
you can quickly get up and running with the many tools available.
- Git repositories for source control
- Build and Release pipelines for CI/CD automation
- Agile tools covering Kanban/scrum project methodologies
- Many pre-built deployment tasks/steps to cover the most common use cases and the ability to extend this with your own tasks.
- Hosted build/release agents with ability to additionally run your own
- Custom dashboards to report on build/release and agile metrics.
- Built in wiki
Azure DevOps is available in two different forms:
- Azure DevOps Server, collaboration software for software development formerly known as Team Foundation Server (TFS) and Visual Studio Team System (VSTS)
- Azure DevOps Services, cloud service for software development formerly known as Visual Studio Team Services and Visual Studio Online
History: This first version of Team Foundation Server was released March 17, 2006.
|Product name||Form||Release year|
|Visual Studio 2005 Team System||On-premises||2006|
|Visual Studio Team System 2008||On-premises||2008|
|Team Foundation Server 2010||On-premises||2010|
|Team Foundation Service Preview||Cloud||2012|
|Team Foundation Server 2012||On-premises||2012|
|Visual Studio Online||Cloud||2013|
|Team Foundation Server 2013||On-premises||2013|
|Team Foundation Server 2015||On-premises||2015|
|Visual Studio Team Services||Cloud||2015|
|Team Foundation Server 2017||On-premises||2017|
|Team Foundation Server 2018||On-premises||2017|
|Azure DevOps Services||Cloud||2018|
|Azure DevOps Server 2019||On-premises||2019|
Traditional Software Development Life Cycle
The developers create applications and the operations teams deploy them to an infrastructure they manage.
Responsibility of Developers.
1.Develop Software Applications
2.New Features Implementation
3.Collaborate with other Developers in Team.
4.Maintain Source Repos and deal with versions.
5.Pass on the code to the operations team.
Responsibility of IT Operations
1.IT Operations determine how the software and hardware are managed.
2.Plan and Provide the required IT Infrastructure for Testing and Production of Applications.
3.Deploy the Application and Database.
4.Validate and Monitor performance.
In the below diagram you will see the phases it will involve:
How the traditional Systems worked:
Tasks would be divided into different groups based on specialization
1.Group to write specification
2.Group that Develop application.
3.Group that Test the application.
4.Group to configure and manage VM
5.Group to that hands over VM to another group to install database
6.and so on…
A system / process is created for each action and each group operations
in isolation from others. Groups communicate with each other in a very formal way,
such as using ticketing system.
- This requires handoffs from one group to another. This can introduce significant delays, inconsistencies and inaccuracies.
- Lack of a common approach among the groups contributes to the problems of long build times and errors.
- And blame game begins.
What is Agile Methodology
Agile is a process by which a team can manage a project by breaking it up into several stages and involving constant collaboration with stakeholders and continuous improvement and iteration at every stage. There are no surprises. Continuous collaboration is key, both among team members and with project stakeholders, to make fully-informed decisions.
Scrum is a framework for project management that emphasizes teamwork, accountability and iterative progress toward a well-defined goal….
The three pillars of Scrum are transparency, inspection and adaptation. The framework, which is often part of Agile software development, is named for a rugby formation. Scrum is one of the implementations of agile methodology. In which incremental builds are delivered to the customer in every two to three weeks’ time.
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- Agile planning. Together, we’ll create a backlog of work that everyone on the team and in management can see. We’ll prioritize the items so we know what we need to work on first. The backlog can include user stories, bugs, and any other information that helps us.
- Continuous integration (CI). We’ll automate how we build and test our code. We’ll run that every time a team member commits changes to version control.
- Continuous delivery (CD). CD is how we test, configure, and deploy from a build to a QA or production environment.
- Monitoring. We’ll use telemetry to get information about an application’s performance and usage patterns. We can use that information to improve as we iterate.
How DevOps Works?
Under a DevOps model, development and operations teams are no longer “siloed.” Sometimes, these two teams are merged into a single team where the engineers work across the entire application lifecycle. Starting from design and development to testing automation and from continuous integration to continuous delivery, the team works together to achieve the desired goal. People having both development and operations skill sets work together and use various tools for CI-CD and Monitoring to respond quickly to customers need and fix issues and bugs.
Benefits of DevOps over Traditional IT
Speed + Rapid Delivery + Reliability + Scale + Improved Collaboration + Security
With DevOps, teams:
In fact, some teams deploy up to dozens of times per day. Practices such as monitoring, continuous testing, database change management, and integrating security earlier in the software development process help elite performers deploy more frequently, and with greater predictability and security.
2.Reduce lead time from commit to deploy
Lead time is the time it takes for a feature to make it to the customer. By working in smaller batches, automating manual processes, and deploying more frequently, elite performers can achieve in hours or days what once took weeks or even months.
3.Reduce change failure rate
A new feature that fails in production or that causes other features to break can create a lost opportunity between you and your users. As high-performing teams mature, they reduce their change failure rate over time.
4.Recover from incidents more quickly
When incidents do occur, elite performers are able to recover more quickly. Acting on metrics helps elite performers recover more quickly while also deploying more frequently.
How you implement cloud infrastructure also matters. The cloud improves software delivery performance, and teams that adopt essential cloud characteristics are more likely to become elite performers.
The information here is based on DevOps research reports and surveys conducted with technical professionals worldwide.
Organizations that have implemented DevOps saw these benefits:
1.Improved Quality of Software Deployments -65%
2.More frequent Software Releases –63%
3.Improved visibility into IT process and requirements –61%
4.Cultural change (Collaboration and Cooperation) –55%
5.More responsiveness to Business Needs –55%
6.More Agile Development –51%
7.More Agile Change management process –45%
8.Improved Quality of Code –38%