What is the difference between terraform and Ansible?

In today’s growing world of DevOps, big player are started implementing business processes on IaC (Infrastructure as Code). IaC work as to simplify the process of large-scale management. Modern IaC tools simplify the configuration to resolve server problems in a quick time.

Terraform and Ansible are two popular frontline line DevOps tools that provision and configure servers. Ansible is the more mature between the two, originating in early 2012 and Terraform is a Hashicorp product and was first introduce in 2014.  As the DevOps industry is gaining momentum, so also Ansible and Terraform gaining their popularity with this trend. Both the tools used in deploying the code and infrastructure, in simple Ansible acts as a configuration management solution, Terraform is a service orchestration tool.

In this blog, we point our focus on Terraform vs Ansible, a discussion that is highly dominating the current DevOps market. Let’s first known about these tools:

What is Ansible?

Ansible is an open-source automation tool, or you can also called platform, used for IT tasks such as configuration management, application deployment, intraservice orchestration, and provisioning. Automation is crucial these days, with IT environments that are too complex and often need to scale too quickly for system administrators and developers to keep up if they had to do everything manually.

In simple words, it frees up time and increases efficiency. And also it is rapidly rising to the top in the world of automation tools.

Benefits of Ansible

  • Free: Ansible is an open-source tool.
  • Very simple to set up and use: No special coding skills are necessary to use Ansible’s playbooks.
  • Powerful: Ansible lets you model even highly complex IT workflows.
  • Flexible: Orchestrate the entire application environment no matter where it’s deployed. You can also customize it based on your needs.
  • Agentless: No need to install any other software or firewall ports on the client systems you want to automate. You also don’t have to set up a separate management structure.
  • Efficient: You don’t need to install any extra software, there’s more room for application resources on your server.

What is Terraform?

Terraform is an open source, CLI-based infrastructure as code tool created by Hashicorp.

Terraform is an infrastructure as code tool that helps you to build, change, and infrastructure safely and efficiently. This process includes low-level components such as compute instances, storage, and networking, as well as high-level components such as DNS entries, SaaS features, etc. Terraform can manage both existing service providers and custom in-house solutions.

Benefits of Using Terraform

So now you know what Terraform is and how it works, let’s take a look on the top reasons why you should start using Terraform today:

  • Improve multi-cloud infrastructure deployment
  • Automated infrastructure management
  • Infrastructure as code
  • Reduced development costs
  • Reduced time to provision

What is the difference between terraform and Ansible?

In this section, let’s check the difference between the two. Meanwhile both are designed for similar purposes, both have definitely laid a foundation for lifecycle management frameworks. Now, both our players in their battle has placed their cards on the table. Let us find out their differences on some of major factors:

Conclusion

The possibility of a perfect answer on “Why Terraform” or “Why not Ansible” depends mainly on your requirements. Both the tools have so many similarities and also some fair differences as well. So, which one is the best? From a practical perspective, it is advisable to use Ansible for configuration management and Terraform for orchestration. The primary purpose of Terraform is orchestration, and it is considerably intuitive.

Also from career aspect, opportunities for these skilled professionals are increasing significantly with huge scope for career growth.

According to Indeed.com, the average salary of a professional of these skills is $177,530 per annum.

Both Ansible and Terraform are the leading data analytics tool which is adopted by many MNCs worldwide. With this, the demand for the professionals is gradually.

Below you can watch and learn Ansible and Terraform Tutorials

Ansible Advance Tutorial – Intro, Adhoc Command, Inventory, Playbook

Terraform Basic Tutorial with Demo

Hope you find this answer helpful.

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Why should I used Azure DevOps?

Azure DevOps is a modern DevOps tool of developing, planning, testing and deploying modern apps with optimized cycle to provide quality delivery of applications. Azure DevOps provides bunch of tool which can help you in track software building progress and also help you to take decision to deliver great software to the end users. Azure DevOps services are not dependent on cloud platform.

Azure DevOps includes the following services:

  • Azure Boards

It is a powerful agile tool for managing Kanban board, reporting, and product backlog. It also helps you to plan, track, and discuss work across the team.

It has components like work items, backlogs, Boards, queries, sprints details.

  • Azure Repos

Azure Repos service provides you unlimited cloud-hosted private Git repository for your project. This is a type of standard Git service and works use as distributed source controls. Azure Repos supports all Git clients and all IDEs.

  • Azure Pipelines

It is a cloud-hosted pipelines that helps you in for fast CI/CD that works with any language, platform, and cloud. It helps you with continuously changes Release by connecting to any source control like GitHub, this service can release changes continuously to any cloud. Azure Pipelines has components like build, release, library, task groups, and deployment groups.

  • Azure Test Plans

Azure Test Plans provides manual and exploratory testing tools. It also help you to do automated and manual testing.  XML files can be used for load testing as well.

  • Azure Artifacts

Azure Artifact service manages the dependencies used in source code. It can host and share package (like NPM, Nuget, and Maven) feeds from public and private sources. These artifacts simplify job building process.

Benefits of Azure DevOps

Azure DevOps allows their users to develop, deploy, and monitor code without opening multiple interfaces and you can also manage all of this from one view and bring ease to the customers.

Some of the main benefits are

  • Timely Access to New Features

Every three weeks, DevOps users receive access to new features. No need to scramble around and wonder what’s new. These are not to be confused with upgrades, and speaking.

  • No Upgrades to Worry About

Users need not worry about upgrading or patching up the toolchain because the Azure DevOps is a SaaS product. Companies that run on a CI/CD model no longer need to slow things down for the sake of upgrading.

  • Reliability

Azure DevOps is backed by 24 x7 support and a 99.9% SLA.

  • Flexibility

If your DevOps team doesn’t want or need the full suite of services, they can acquire them independently.

  • Platform-agnostic

DevOps is designed to run on any platform like Linux, macOS, and Windows or language for example Android, C/C++, Node.js, Python, and Java, PHP, Ruby, .Net, and iOS apps.

  • Cloud-agnostic

Azure DevOps works with AWS and GCP.

Why we use Azure DevOps?

There has been a lot of buzz lately about Azure DevOps and you may be wondering– why we use Azure DevOps?

Here are some of the reasons to consider Azure DevOps:

Azure DevOps is a feature-rich platform. The flexibility of supported languages, platforms and cloud vendors make it a viable option for a huge range of organisations.  However, if you’re currently running an on-premises Team Foundation Server moving to Azure DevOps would be a natural upgrade for you.

Azure DevOps is not focussed at organisations that are end-to-end Microsoft or Windows. Azure DevOps provides a platform that is:

  • Flexible

You don’t have to go ‘all in’ on Azure DevOps. It is possible to adopt each of the services independently and integrate them with your existing tool chain, most popular tools are supported.

  • Platformagnostic

Designed to work with any platform (Linux, MacOS and Windows) or language (including Node.js, Python, Java, PHP, Ruby, and C/C++, .NET, Android and iOS apps) Azure DevOps is not just aimed at organizations building and shipping.

  • CloudAgnostic

Continuous delivery is supported to AWS and GCP as well as to Azure.

How long it take to Lean Azure DevOps?

If you have prior experience in software, programming, scripting, Linux, and Automation then you can learn DevOps basics such as CI/CD pipeline and its tools in one month.

If you have prior experience of software, programming, and scripting but not familiar with Linux, and Automation then you have to learn Linux and Automation first before learning DevOps basics such as CI/CD pipeline and its tools in 2-3 months.

 If you have prior experience of computer and software background but no experience in programming, scripting, Linux, and Automation then programming and scripting take two months, one month for OS and automation fundamentals, and one month for learning DevOps basics such as CI/CD pipeline and its tools. Overall, 4-5 months.

Roles and Responsibilities

DevOps Engineer works with developers and the IT team to oversee the code releases. Many-times developers who get interested in deployment and network operations or sysadmins who have a passion for scripting and coding and move into the development side where they can improve the planning of test and deployment.

Roles of Azure DevOps Engineer

  • Implementing Continuous Feedback.
  • Implementing Application Infrastructure.
  • Implementing DevOps Development Processes.
  • Implementing Dependency Management.
  • Implementing Continuous Integration.
  • Implementing Continuous Delivery.

Career opportunity as an Azure DevOps Engineer?

Azure DevOps Engineer is someone who has an understanding of the Software Development Lifecycle and if familiar with various automation tools for developing digital pipelines (CI/ CD pipelines).

Azure DevOps Engineers are responsible for defining and implementing a robust, scalable, pragmatic and realistic cloud solution that works for our clients. Design and implement cloud solutions which are secure, scalable, resilient, monitored, auditable and cost optimized.

So what are the options in front of you when you complete your Certification as an Azure DevOps Engineer?

Here are a few job roles that you can fill:

  • Cloud Engineer
  • DevOps
  • Cloud Specialist
  • High Availability
  • MEAN
  • Shell Scripting
  • Big Data
  • Windows Admiration

Salary of an Azure DevOps Engineer

More than 500 top Fortune companies as well as start-ups or small businesses that need an Azure DevOps Engineer who is certified and are ready to offer a lucrative Azure DevOps Engineer. So, don’t worry about the job prospect or salary aspect when it comes to being a certified Azure DevOps Engineer, just focus on upscaling your real-time expertise when you wish to be a part of any of these renowned organizations and get to work with your dream company with the salary you wished for. 

As an Azure DevOps engineer, the national average salary is $103,314.

  • The DevOps engineer based on 3 years of experience can expect $7,927 per annum.
  • The salary for the aforementioned experience ranges from $3,329 – $18,886.
  • Also, the Azure DevOps engineer salary is also dependent on experience such as Entry level, Intermediate, Senior ranging from $79,000 – $134,000.
  • Furthermore, Azure DevOps engineer salary also depends on the certification obtained through training platforms such as JanBask Training.

Now let us have a look at a range of salaries across the globe.

  • The Azure DevOps Engineer Salary in the United Kingdom on average is £82,472 per year or £29.18 per hour. 
  • The Azure DevOps Engineer Salary in the US on average is $136,500 per year or $70 per hour. 
  • The Azure DevOps Engineer Salary in India on average is ₹ 2,100,000 per year or ₹ 1,077 per hour.
  • The Azure DevOps Engineer Salary in Australia starts from an average of $130,000 per year or $66.67 per hour. 
  • The Azure DevOps Engineer Salary in Canada on average is $120,938 per year or $62.02 per hour.

Conclusion

In this Article, we all discussed on point of a career in Azure DevOps. We provided you the enough information about the salaries what you can expect to earn in different job roles with skills We also discussed the options that you can choose as a skilled DevOps professional depending on your interests. If you are curious to learn about Azure DevOps, and make a good career with this skill then I would suggest you please check out DevOpsschool.com for more information.

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What is python?

Python is a programing language that combines features of C and Java. Python is an object-oriented, with high-level programming language with dynamic semantics. It’s a high-level built in data structures, combined with dynamic typing and dynamic binding,  that makes it very attractive for fast Application Development, as well as for use as a scripting or glue language to connect existing components together.

Features of python

  • Easy to code
  • Free and open Source
  • Object-Oriented Languages
  • GUI Programming supports
  • High-level Language
  • Extensible Feature
  • Large Standard Library
  • Dynamically Typed Language

Why Should You Learn Python?

Nowadays, Python has become one of the fastest growing and most popular programming languages in the world. Is it a good choice for your next project though? Python is versatile, it is easy to use and develop.

Moreover, it has a very vibrant community. You can easily find support from the best minds in the field. It is well-loved among both experienced programmers and beginners alike. There are many reasons to learn Python. Some of the reason to learn Python are:

  • Versatile, easy to use and fast to develop
  • Open source with a vibrant community
  • It has all the library required
  • Great for prototype (You can do more with less Coding)
  • Fast Development speed
  • Easy maintenance
  • Not native to mobile environment
  • Learning Python will keep you relevant
  • Python is similar to English
  • Python is widely used

How Long Does it Take to Learn Python?

If you’re looking to become a Python expert you have a much longer path ahead of you. In this article, we’ll just look at how long it takes to get a basic, well-rounded understanding of the Python language.

On average, for beginners it takes about 10-12 hours to learn the basics. This will get you enough to understand most lines of code in Python. If you plan on getting into data science or another specialized field, counting in months and years is more appropriate. If you spend your 5 to 6 months to this language, then this matter of time suited those who pan full time work in this.

To learn, plan is simple you should have to spend 2-3 hours a day on computer and practise it on daily basis. One day learn something and next day practise it with fully.

You may need to sacrifice the time you spend watching Netflix, but it’s well worth it for a stellar new career!

Career Opportunities in Python

Python is not only one of the most popular programming languages across the globe, but it is one that offers the most promising career opportunities as well. This demand for Python developers is increasing every year. There is a reason why this high-level programming language is so popular.

Python can be used in several areas, including testing, web development, app development and upgrades, and scriptwriting. If you acquire this skill, you will have more Python career opportunities than you can imagine.

Python Career Opportunities

So what are the options in front of you when you complete your Python learning? Here are a few job roles that you can fill:

  • Python Developer

This type of jobs you can except after acquiring the skills of python, you have always open position for Python Developer.

What does a Python developer do? 

  1. Building website
  2. Resolve problems related to data analytics
  3. Write codes that are reusable and efficient
  4. Optimize data algorithms
  • Data analyst

This particular job option is mainly for those who like to working with huge amounts of data and finding meaning in that data. This also a popular job role in this domain. There are many companies that are looking for people who can work with the large sets of data that they have access to.

  • Product Manager

Product managers comes with an important role to play in this domain when it comes to helping businesses to understand the market and why building one product will be better than building another. Data is a very important part of the work they do. They study the market, research for new features related to a particular product or category, and advocate the building of certain products with facts. 

  • Machine learning engineer

Nowadays requirement off this particular job role is by 330% in the last couple of years.

A machine learning engineer builds and trains machines, programs, and other computer-based systems to apply their learned knowledge for making predictions.

Why Python skill is essential for every Software Engineer?

Python is a very popular open-source software development language that offers enhanced process control capabilities. It is able to develop complex multi-protocol network applications

  • The career opportunities for skilled professionals are increasing significantly with huge scope for career growth.
  • The average salary of a Certified Python Developer is US$116,379 per year.
  • There are more Job opportunities for Python professionals in top MNCs when compared to other technologies.
  • IT Operations, IT Monitoring, IT Support, & Data Centre teams.
  • Professionals who aim to make a career in big data with Python, Professionals having experience of Programming, Software Testing Professionals, Software developers.

Python Job and Salary

This is the vast and most desire welcome opportunity provide to a Python skilled candidates.

If you are able to strike a balance, you will not have to think too much about your salary after that. You will have the opportunity to work with the world’s most popular names, such as Amazon, Accenture, Cognizant, Tata Consultancy Services Limited, and others. Your career will continue to grow as you gain more experience.

On an averagea senior software developer earn as much as Rs 2,000,000 per annum. Other hand Web developer with Python skills can also earn in the range of Rs 8, 00,000 per annum. Other related job roles include lead software engineer (up to Rs 2,000,000 per annum), data scientist (Rs 7,00,000 per annum), machine learning engineer (Rs 6,70,000 per annum), data analyst (4,17,000 per annum), and more. 

The popularity of python increased among developers by the fact that Python is used by some of the biggest names in the world – Facebook, Netflix, Google, and Spotify, amongst others. This points towards one thing – As a professional skilled in python, you will have your chance of working with one of your dream companies. 

To make you this clear we shared you some that that According to Naukri.com, there were more than 75,000 open jobs for Python developers in India at the end of 2021. Similarly, the open jobs for Python web developers were around 7000 around the same time.

Conclusion

In this Article, we all discussed on point of a career in python. We provided you the enough information about the salaries what you can expect to earn in different job roles with Python skills We also discussed the options that you can choose as a skilled Python professional depending on your interests.

If you are curious to learn about Python, and make a good career with this skill then I would suggest you please check out DevOpsSchool.com more information.

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What is DevOps and How its Different from AWS DevOps?

Introduction

Guys, today in this blog you will learn in detail about DevOps and AWS DevOps, so let’s know what is DevOps and AWS DevOps. DevOps is a term of the two words ‘development’ and ‘operations’. DevOps is not a technology, it is a combination of cultural, practices, and tools that increases an organization’s ability to deliver applications and services. As we know, AWS DevOps provides application developer teams with the means to efficiently implement continuous integration and continuous delivery (CI/CD). This enables them to securely store and version application source code, while automatically building, testing, and eventually deploying the application to either on-premises environments or to AWS.

What is DevOps?

DevOps is a software development methodology where the Development team & Operations teamwork as together. After adopting DevOps, it helps to increase the speed of an organization to deliver applications and services. And it can be defined as the alignment of development and IT operations with better communication and collaboration. And those who are DevOps engineers use many tools for the development & operations processes so that our life becomes easy. These popular DevOps tools are- Docker, Git, SVN, Maven, Jenkins, Selenium, Kubernetes, Puppet, Chef, SaltStack, Nagios, Splunk, etc.

Here are the some Benefits of DevOps:-

  • DevOps ideology encourages a completely new way of thinking and decision-making.
  • DevOps certified professionals are among the highest-paid in the IT industry.
  • The market demand is increasing rapidly with its increased implementation worldwide.
  • It ideology promotes increased collaboration and communication between the operation and development teams.
  • You learn to work in a team consisting of cross-functional team members—QA, developers, operation engineers, and business analysts.

What is AWS?

AWS stands for Amazon Web Services, It is a cloud infrastructure, is an extensive, emerging cloud platform offered by Amazon that contains a combination of IaaS, PaaS, and SaaS offerings. Also, AWS can provide organizational tools including database storage, computing power, and content delivery services. It can be used to store crucial data.

The below image gives you an idea about AWS certifications

Benefits after Grab AWS Certification:-

  • AWS certified professional is someone who can manage servers provided by amazon.
  • It is cloud storage is quite useful for organizations and it’s easily accessible too.
  • Design and deploy dynamic, scalable, highly available, and reliable cloud applications.
  • It is enables businesses to scale and grow with database storage, content delivery, compute power and other tools.

AWS Certified Developer Roles and Responsibilities:-

  1. Skills in write, correct and debug application code modules
  2. Knowledge of software development lifecycle for AWS cloud
  3. Ability to develop, deploy & debug AWS cloud applications
  4. Knowledge of software development lifecycle for AWS cloud
  5. Understanding of serverless applications and ability to write code for these applications.

What is AWS DevOps?

AWS DevOps is Amazon’s answer to implementing the DevOps philosophy using its cloud platform and dedicated tools and services. provides application developer teams with the means to efficiently implement continuous integration and continuous delivery (CI/CD). This enables them to securely store and version application source code, while automatically building, testing, and eventually deploying the application to either on-premises environments or to AWS.

Benefits of AWS DevOps:-

  • Develop, improve, and thoroughly document operational practices and procedures.
  • Develop and implement instrumentation for monitoring the health and availability of services including fault detection, alerting, triage, and recovery.
  • Work in conjunction with IT, engineering, and business groups to understand functionality, scalability, performance, security, and integration requirements.
  • Build solutions to problems that interrupt availability, performance, and stability in our systems, services, and products at scale.

Difference Between DevOps and AWS DevOps:-

DevOps is a software development methodology where the Development team & Operations team work as a together. After adopting DevOps, it helps to increase the speed of an organization to deliver applications and services. And it can be defined as the alignment of development and IT operations with better communication and collaboration. AWS DevOps is Amazon’s answer to implementing the DevOps philosophy using its cloud platform and dedicated tools and services. provides application developer teams with the means to efficiently implement continuous integration and continuous delivery (CI/CD).

DevOps Fundamental to Advanced Tutorial for Beginners

If you want to learn DevOps | Cloud and Containers Free Videos and Tutorials then Join scmGalaxy YouTube Channel

I hope this post will be very helpful for you!

Thank You

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What is DevOps and AZURE DEVOPS?

Introduction

Guys, today in this blog you will learn in detail about DevOps and Azure DevOps, so let’s know what is DevOps and Azure DevOps. DevOps is a term of the two words ‘development’ and ‘operations’. DevOps is not a technology, it is a combination of cultural, practices, and tools that increases an organization’s ability to deliver applications and services. Azure is one of the fast growing cloud computing platform. Microsoft Azure DevOps is built on multi-tier, scalable architecture. It is comprises a range of services covering the full development life-cycle.

What is DevOps?

DevOps is a software development methodology where the Development team & Operations team work as a together. After adopting DevOps, it helps to increase the speed of an organization to deliver applications and services. And it can be defined as the alignment of development and IT operations with better communication and collaboration. And those who are devops engineers use many tools for development & operations process so that our life becomes easy. Like these popular DevOps tools are:- Docker, Git, SVN, Maven, Jenkins, Selenium, Kubernetes, Puppet, Chef, SaltStack, Nagios, Splunk, etc.

How DevOps works in the Enterprise?

You can see through the image.

Works flow of DevOps

Below you can see works of DevOps by following each phase of the DevOps life cycle which includes continuous development, continuous integration, continuous testing, and continuous deployment.

Continuous Development – Plan application objectives and code the requirements

Continuous Testing – Verify the product for actual usage in a live environment

Continuous Integration – It Plan tests and build the product

Continuous Deployment – Ensures product is deployed with maximum accuracy

Continuous Monitoring – It Monitor the product output and find the problem areas

Here are the some Benefits of DevOps:-

  • DevOps ideology encourages a completely new way of thinking and decision-making.
  • DevOps certified professionals are among the highest-paid in the IT industry.
  • The market demand is increasing rapidly with its increased implementation worldwide.
  • It ideology promotes increased collaboration and communication between the operation and development teams.
  • You learn to work in a team consisting of cross-functional team members—QA, developers, operation engineers, and business analysts.

Here you see Salary of DevOps Engineer:-

According to payscale.com, the demand for DevOps is high but companies require individuals to have the correct skill sets. Additionally, the better the experience, the higher is the salary. The average devops salary in India, according to Payscale, is Rs 674,202 per year, inclusive of bonuses and profit-sharing.

Below you can get complete knowledge of Microsoft Azure and Azure DevOps by source of DevOpsSchool.com.

What is Microsoft Azure?

Now, lets know about Microsoft Azure, It is a cloud computing service created by Microsoft that is one of the leading cloud service providers, and day-by-day many organizations are opting for Azure to get the best technologies for efficient computations. Its use will help you to build, deploy, and manage applications through your globally owned network of data centers.

What is Azure DevOps?

Now, lets know about Azure DevOps, it is a mixture of the simplest of technology and therefore the application of best practices. We can say, It is the Next Big thing in IT Industries. Azure DevOps is a Software as a service (SaaS) platform from Microsoft that provides an end-to-end DevOps toolchain for developing and deploying software. Microsoft recently launched this as a result of they perceive that DevOps has become more and more vital to a team’s success. It’s concerning culture and an amendment within the manner we tend to do things, yet as our mental attitude. Azure DevOps captures over fifteen years of investment and learnings in providing tools to support software packages, development groups. more to the present.

How does Azure DevOps work?

In the easiest terms, Azure DevOps is the evolution of VSTS (Visual Studio Team Services). Azure DevOps works both public and private cloud configurations – the services include:

  • Azure Boards – A work tracking system with Kanban boards, dashboards, and reporting
  • Azure Pipelines – A CI/CD, testing, and deployment system that can connect to any Git repository
  • Azure Repos – A cloud-hosted private Git repository service
  • Azure Test Plans – A solution for tests and capturing data about defects
  • Azure Artifacts – A hosting facility for Maven, npm, and NuGet packages

Azure DevOps use cases include – 1. Planning 2. Developing 3. Delivery 4. Operations

How to become a Azure DevOps Certified Engineer and list of the various certifications:

If you want to become a Microsoft Azure DevOps Certified Engineer: then, you must earn at least one of the following: Microsoft Certified: Azure Administrator Associate, Microsoft Certified: Azure Developer Associate certification.

These are Best Microsoft Azure Certification:-

  • Microsoft AZ-900 Certification: Azure Fundamentals course
  • AZ-104 Azure Administrator Exam Certification course
  • Microsoft AZ-400 Azure DevOps Certification course
  • AZ-204 Developing Solutions
  • AZ – 303 Microsoft Azure Architect
  • AZ – 304 Microsoft Azure Architect Design
  • Microsoft AZ-500 Certification: Azure Security Technologies course

Below you can path of Azure Certification:-

Pre-Requisites for Microsoft Azure course

  • Basics of Networking
  • Basics of the MS Azure Platform
  • Basic concepts related to operating systems
  • Basic familiarity with infrastructure paradigms such as active directory and PowerShell

What is the Salary of Azure DevOps Engineer?

Here I am going to share with you the average salary of an Azure DevOps Engineer. If you are working at a product-based company, then the salary ranges start from ₹16L to ₹42L per year. And the average salary of an Azure DevOps Engineer working at a service-based company can range start from ₹5.5L to ₹23L per year.

These are some Popular Courses of Azure:-

What are the Difference Between DevOps and Azure DevOps?

DevOps is basically a culture and it is really hot at the moment and is revolutionizing the workplace. It is the bridge closing the gap between Development and Operations team and bringing them together. DevOps is achieved through tools, processes, and automation, but, even more than that, through a change in organizational culture.

Azure DevOps is a Software as a service (SaaS) platform from Microsoft that provides an end-to-end DevOps toolchain for developing and deploying software. It is a mixture of the simplest of technology and therefore the application of best practices. Azure DevOps works both public and private cloud configurations.

If you are planning to become an Master in Azure DevOps Engineer, and searching to the best institute for preparing for Azure certifications, then I would suggest you one of the best Institutes that is DevOpsSchool.com. This institute has 10 to 15+ years of experienced trainers who providing you quality training with industries requirement.

I am going to share with you some videos, then you can get some overview of DevOps and Start to learn Azure DevOps course.

DevOps Fundamental to Advanced Tutorial for Beginners

Microsoft Azure Fundamental Tutorial | AZ-900 Certification

Why Choose DevOpsSchool | Reviews | Testimonials | Learner’s Feedback

I hope this tutorial is very helpful for you!

Keep learning! Best of Luck

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What is the difference between HTML elements and tags?

HTML Tags: HTML tags are the beginning and ending parts of an HTML element. They are eliminated starting from a symbol. Inside the is also written that tag.

Example:

<html> </html>, <body> </body>, <br>, <hr> , <img>

HTML element: The content in the middle of an HTML tag is called an HTML element. They have some kind of structure or expression. It usually consists of a start tag, content, and an end tag.

Example:

<p> This is paragraph</p>

<h1>Hi this is the answer</h1>

<title>My website</title>

<br> Line break

<hr> Horizontal Line

<b>It is the example of Html element</b>

ElementWith tags
Paragraph<p>This is paragraph</p>
Heading<h1>This is heading</h1>
Title<title>My website</title>
Line break<br>
Horizontal Line<hr>

Code

<!DOCTYPE html>
<html>
<body>

<h1>This is The DevOpsSchool</h1>
<p>DevOpsSchool is one of the largest DevOps Training provider for beginners.</p>

</body>
</html>

Result

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DevOps Introduction

What is DevOps?

DevOps is the combination of two words, one is Development and other is operation. This allows a single person to handle the entire lifecycle of an application. DevOps helps in collaboration between Development and Operations team to deploy code to production faster. it helps to organization speed to deliver application and services. It is a sequence of development and it operation with better communication and collaboration.

Features of DevOps architecture:

  1. Automation

Automation reduces time consumption during testing and development phase. The productivity increases by automation. This will help in catching bugs so that it can be fixed easily.

2. Collaboration

The Development and Operations team collaborates as a DevOps team, which improves the cultural model as the teams become more productive with their productivity, which strengthens accountability and ownership. The teams share their responsibilities and work closely in sync, which in turn makes the deployment to production faster.

3. Integration

The Applications need to integrate with other components in the environment. In integration phase the existing code is combined with new code and tested. The continious integration and testing enables continious development.continious integration helps in to execute delivery in a quicker, safer and reliable manner.

4. Configuration management

It helps the application to interact with only those resources which are concerned with the environment.

Advantages of DevOps:-

  • It is a collective responsibility which help in better team engagement and productivity.
  • It improves customer satisfaction and experience.
  • It is an excellent approach of development and deployment.
  • DevOps respond faster to the market changes and improve bussiness and growth.
  • it places all the tools in the cloud for customer easy access.

Disadvantages of DevOps:-

  • Less availablity of DevOps professionals.
  • DevOps is expensive.
  • DevOps technology is hard to manage.

DevOps Architecture:-

1. Build

Without DevOps the cost of the consumption of the resource was evaluated based on the pre defined individualsusage with fixed hardware allocation. But DevOps usages the cloud for resource sharing, it is a mechanism to control usage of resources.

2. Code

Many good practices like Git helps in writing the code for bussiness, track changes, getting notified about the freason behind the changes and if necessary reverting to the original code developed.

3.Test

The application will be ready for production after testing. In the case of manual testing, it consumes more time in testing and moving the code to the output. The testing can be automated, which decreases the time for testing so that the time to deploy the code to production can be reduced as automating the running of the scripts will remove many manual steps.

4. Plan

Devops use Agile methodology to plan the development.

5. Monitor

Monitering is used to identify any risk of falilure. It also help in tracking the system accurately so that the health of the application can be monitered easily.

6. Deploy

Many systems can support the scheduler for automated deployment. The cloud management platform enables users to capture accurate insights and view the optimization scenario, analytics on trends by the deployment of dashboards.

7. Operate

The teams operate in a collaboration where both the teams actively participate throughout the services lifecycle.

8. Relaese

Deployment to an environment can be done by automation. But when the deployment is made to the production environment, it is done by manual triggering. many processes involved in release management commonly used to do the deployment in the production environment manually to lessen the impact on the customers.

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Is there any certification for DevOps? | scmGalaxy

Source: Quora.com

Q1. Is there any certification for DevOps?

Ans. As you inquired about “Certification for DevOps”. So, let me inform you that DevOps is a culture and it cannot be certified or there is no any specific certification for it. It is free form approach which can be implemented by the team with principles and automation tools and best practices of it. It’s something where each individual of the Dev team and Operations team were involved they work together in collaboration to create quality products/applications without wasting resources and infrastructure in a short span of time. It’s not something which is created by one organizations or Individuals, no one owns it. Thus, It cannot be certified or any authentic certification from any specific Institutes and Organizations.

Q2. If yes,which certifications must a DevOps engineer possess?

Ans. As we already discuss about Certification, now A DevOps engineer can learn principles, different different tools and best practices of it which is used in DevOps work environment. Tools like Chef, Puppet, Jenkins, Docker, Ansible, Git, Maven, SonarQube, Jira, Nagios, Vagrant, Nexus, AWS etc.. are the most popular tool-sets these days. But be mindful, these tools sets are not for forever, in near future any new tools can be included or any tools can be excluded. Therefore, to remain effective as a DevOps engineer you must need to learn or practice on tools which makes Dev and Ops teams work easy.

But, to get expertise in DevOps culture and its related tool-sets you need guidance, knowledge, time and practice. So, for help you can go for DevOps courses and join good institute for help.

To help you out I can recommend one institute who provides quality training for DevOps course and its related tool-sets with the help of experienced DevOps trainers, instructors, mentors and coaches.

scmGalaxy” This DevOps institute is run by expert community of DevOps, Build and Release and SCM professionals.

There highlights

  • Known, Qualified and Experienced DevOps Trainer
  • Life time access to Live Interactive Session
  • Life time free re-enrollment to future DevOps courses
  • 80% of the class is consist of Lab by doing
  • Life time free access to all learning materials
  • Educating IT/Software professionals from more than 8 years

Upon Course completion you will get scmGalaxy certification that is industry recognized and holds value.

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Checklist for Validating A DevOps Architecture

Source – http://blog.flux7.com/blogs/devops/checklist-for-validating-a-devops-architecture-part-1

Author – Ali Hussain

Checklist: Validate DevOps Architecture

Understand business needs

An organization moving to the cloud truly understand cloud’s benefits only when setting up good DevOps methodologies and cloud automation to meets its needs. The process is replete with tool choices at every stage and the overall goal is to understand and meet the organization’s needs.

From our experience in setting up DevOps infrastructure multiple times the business needs of your organization can be summed up as below:

Business Continuity And Disaster Recovery

Disasters are inevitable and it is necessary for an organization to be prepared to handle them. The Disaster Recovery method depends

  • On the size of the organization and what’s at stake.

  • Cost of a downtime

  • Cost to prevent downtime

It should be noted that there are diminishing returns on implementing good disaster recovery and availability. In the same vein, the cost of an outage increases super-linearly with the duration. So even if your organization is small, there is a huge incentive for picking the low-hanging fruit and having a rudimentary disaster recovery plan in place.

Meeting Customer Demands

The goal of any service is to meet varying customer demands. Questions to consider for the varying demands:

  • Would there be surges in demand?

  • To what level does our system scale?

No system can scale indefinitely. An investment in the architecture from the ground up is required to attain higher levels of scaling. These solutions are inevitably more expensive if not used to their full capabilities.

Security

It is critical to protect business IP and customer data not only for a competitive advantage and for customer privacy purposes but also for the legal requirements on various kinds of data. The role of a DevOps architecture is to ensure the required security constraints are not compromised in the transition to a DevOps workflow which means that there are strict access rules for resources’ access. For instance, entities have access to a certain resource which does not mean a new entity when added will be granted the same access.

Reducing Time To Market

An organization needs to run like a well-oiled machine. This encompasses using the right tools that enable rapid turnaround on the application development, setting up a good dev workflow, improve software QA, and improving operations turnaround time.

Minimizing Cost

Minimizing cost in terms of machines or manpower is always a significant need. The cloud forces rethinking on operational vs capital costs and how to handle the cost variability during budgeting.

Several other sub-points could be added to the above list including latency, quality of service, bug rate. However these are just different aspects of the above points and not orthogonal ideas as such. Understanding these business needs is necessary to have your DevOps strategy make a meaningful impact on your organization.

Next Monday we will discuss how these goals translate into questions you can use to validate your DevOps architecture.

we explored how business goals should inform every good DevOps strategy. This week we’ll discuss how to use those goals to validate your DevOps architecture. From our experience at Flux7, the best way to do this is to define the workflows of key users.

To ensure that an architecture will meet a client’s business goals, we ask ourselves the following questions:

  1. What is the developer workflow and how will we enable it?

  2. How will we handle mirroring environments for disasters?

  3. How will we handle scaling up and down?

  4. How will we update the environment?

  5. How will we update the code?

  6. How will we keep the code and environment aligned?

  7. How will we make changes to the infrastructure?

To illustrate how these questions inform our work, we’ll walk you through them using our setup from the previous post, “The Best Way To Deploy Ruby On Rails in AWS”, which was as follows:

  • Chef used to deploy and bake the environment.

  • Capistrano used to handle code deployments.

  • Git repository on GitHub used to store code.

We used CloudFormation templates for infrastructure deployment.

Now let’s examine how this setup addressed the seven questions above.

What was the developer workflow and how did we enable it?

Using CloudFormation templates to orchestrate infrastructure deployment, the developers selected a pre-baked AMI with the correct environment setup. Even though we deployed the code with Capistrano, we also created a Chef recipe for deployment.

How did we handle mirroring environments for disasters?

Our Ruby on the Rails deployment was a real-time experience for a startup client. They could afford a cold DR provided the right alerts were set up for monitoring the website. It’s a good idea to make regular production-AMI backups to S3 and to make a copy to the DR region. In case of disaster, the environment can be retrieved by using the CloudFormation template with the latest AMI in the new region and then updating the route 53 to point to the new region.

How did we handle scaling up and down?

We implemented autoscaling. It’s important to know that an app server is “hot” when online without having to intervene manually. This may require scripting because the same AMI needs to work in several different environments.

How did we update the environment?

We edited the Chef recipe, checked for proper functioning and then baked the AMI. To improve Chef recipe debug loops, we experimented with recipes inside a Docker container. This approach ensured rapid revert to a previous state in case of failure.

How did we update the code?

We pushed the code from the dev branch to the master branch and ran the Capistrano recipe. Capistrano connected to the GitHub account and checked the latest copy of the required code revision. Since the code was pulled at deployment, rather than being baked into the AMI, baking a new AMI for each code update wasn’t needed. This approach is particularly suitable for hotfixes.

How did we keep the code and environment aligned?

Manual overhead made sure that deployed code worked in its respective environment. Docker may come in handy in such cases since it versions both code and environment, but we haven’t yet tried this approach.

How did we make changes to the infrastructure?

We updated the CloudFormation template, deployed the environment and code, checked for complete proper functioning, and qualified template changes. We assessed the outage caused by the template update and, depending on the outage, updated the previous stack or created a new stack, and transitioned to S3 when completed.

Given the wide variety of needs for various organizations, there’s no right or wrong approach to developing your DevOps architecture. But it’s always best to make small iterative-but-real improvements because a huge project that tries to accomplish everything is far more likely to fail. The key to success is not to prevent failure, but rather to maintain a low failure cost.

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DevOps training institutes in Hyderabad

DevOps training institutes in Hyderabad

DevOps integrates developers and operation teams in order to improve collaboration and productivity by automation infrastructure, automation workflows and continuously application performance.

Here is the list of Best DevOps Institute which provides the DevOps Training Online and Classroom in Delhi

scmgalaxy

scmGalaxy is a community initiatives based on Software configuration management that helps community members to optimize their software development process, Software Development Life Cycle optimization, Agile Methodologies and improve productivity across all aspects of Java development, including Build Scripts, Testing, Issue Tracking, Continuous Integration, Code Quality and more!

Link – http://www.scmgalaxy.com/training/devops-training.html

Email id – info@scmGalaxy.com

DevOpsConsulting

DevOpsConsulting is a brainchild of passionate technopreneurs having vast experience in managing, designing and delivering large scale enterprise solutions with prime focus on achieving business goals with high performance systems. We are an IT technologies and consulting firm specialized in DevOps and software practices to improve efficiency and cost effectiveness of an Organization.

We have extensive experience in various verticals like telecom, healthcare, finance, insurance, media etc. Our comprehensive knowledge and expertise includes but not limited to DevOps Architect Design, Technical Debt Reduction, Cloud Migration, Continuous Integration, Continuous Delivery and Continuous Deployment.

Link – http://www.devopsconsulting.in/devops-training.html

Email ID – info@devopsconsulting.in

Build2Release

We at Build2Release, is passionate about managing, designing and delivering organization software practices to improve efficiency and cost effectiveness through our DevOps. Our comprehensive knowledge and expertise includes but not limited to DevOps Architect Design, Build and Release, Technical Debt Reduction, Cloud Migration, Continuous Integration, Continuous Delivery and Continuous Deployment.

Link – http://www.build2release.com/

Email – contact@Build2Release.com

Agile And DevOps

We offer a complete training program and corporate consulting on Agile, DevOps/CI/CD, Big Data, Data Science, Full Stack Development and Testing in a range of technologies, Automated testing, including Chef/Puppet, Docker and Vagrant.

DevOps is a term to describes the foundational and operational aspects of producing software (e.g., environment setup, software containers, automated testing, continuous integration, continuous deployment). Devops incorporates a lot of lean principles, focusing on improving the collaboration between developers and operations folks.

Agile is the 12 guiding principles of the Agile Manifesto for producing software. The best developers have incorporated the principles in their day to day work.

Link – http://www.agileanddevops.com/

Email – contact@agileanddevops.com

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