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Why Stop Inventing New DevOps Combinations?

DevOps - What's in a name?The term DevOps is well known by now. It was initially introduced by Patrick Dubois a Belgian IT consultant who organized an agile oriented event in October 2009 and named it DevOpsDays, targeting not only developers but also systems administrators, managers, and toolsmiths from all over the world. After the conference, the conversations continued on Twitter with the hashtag #DevOps.If you want to know more about the origin of the DevOps, you can check the video given below which gives you a lot of background about the reason why Patrick Dubois initially started this DevOpsDays conference:DevOps and the rise of the combinations and derivatives With the increasing popularity of DevOps, more people start to give their definition of DevOps. The different definitions of DevOps that go around can differ, depending on what aspect(s) of DevOps you want to focus.In a previous article, I wrote about how to explain DevOps in 5 letters - CALMS or CALMR i.e CALMS framework for DevOpsSome other definitions tend to focus primarily on the automation aspect, omitting the Agile foundation. As a consequence, you get the first combination of DevOps, named BizDevOps or BusDevOps. There are different interpretations about what BizDevOps actually means. “BizDevOps, also known as DevOps 2.0, is an approach to software development that encourages developers, operations staff and business teams to work together so the organization can develop software more quickly, be more responsive to user demand and ultimately maximize revenue.”At the same time, it is the most disputable definition. This definition assumes that DevOps is mainly a technology-driven initiative that hardly involves business people. But as mentioned in my previous article, the foundation of DevOps is culture, which goes back to the agile principles. And we all know that agile without business is only symptomatic. So DevOps without business is as symptomatic as agile without business.According to the Dzone article, DevOps is focusing on a single application or system whereas BizDevOps is focusing on the entire enterprise with all its complex processes and the mixture of applications and systems that support these complex processes.According to this article, BizDevOps provides an answer to dealing with:OK, fair point, but these aspects could as well be tackled by defining proper value streams and Agile Release Trains to deal with all the links and dependencies between these systems and applications. I don't see the need to come up with a different term.I guess you understand by now that I am not a big fan of the BizDevOps term and the confusion it creates. But it can get worse. It was some likely clever tool vendors that came up with the term DevSecOps. And if it is not the tool vendors that invented it, at least they were so clever to jump on the wagon to support the need for more security awareness in DevOps.Nowadays, large tool vendors using of the term DevSecOps instead of DevOps.Here's my opinion on this: security should be an integral part of DevOps. It should be a part of the culture:Don't only think about what something functionally should do, but also what can go wrong (think Abuse or Misuse cases). It is also a part of the automation. All security related tests should be automated as much as possible. Think about scanning vulnerabilities in your own source code, vulnerabilities in external libraries that you use, scanning your container images for vulnerabilities, or even - up to some extent - automated penetration testing. It is also a part of Lean principles: when a security test in your build pipeline fails (e.g. scanning your source code discovers a critical vulnerability), you stop the line.So again, the is no reason why the term DevSecOps should exist at all.Now that we have business and security covered, we can go on and see who else could feel denied or at least ignored? Maybe DBA's? Or any other person involved in data management? Maybe, that is the reason why we also have DevDataOps nowadays.I could go on for a while like this. But you get the point by now: it is uselessMaybe the DAD is right!I recently got to read an interesting article on disciplined agile delivery, the information portal from Mark Lines and Scott Ambler of their Disciplined Agile Delivery, or short DAD. DAD is not - as they call it - an agile methodology, but a process selection framework. DAD is the kernel of a layered model, like an onion, that they call Disciplined Agile and that consists of the following layers:Let’s explore each aspect in Disciplined Agile Framework mentioned in the diagram.1. Disciplined Agile Delivery (DAD)Disciplined Agile Delivery (DAD) aspect consists of initial modeling and planning, forming the team, securing funding, continuous architecture, continuous testing, continuous development, and governance all the way through the lifecycle. The Disciplined Agile Delivery (DAD) framework supports multiple delivery life cycles, basic/Agile lifecycle based on Scrum, a lean lifecycle based on Kanban, and a modern Agile lifecycle for continuous delivery. This aspect is responsible for addressing all the aspects of solution delivery.2. Disciplined DevOpsDisciplined DevOps streamlines the IT solution development and IT operations activities, and supports organization-IT activities, to benefit more effective outcomes to the organizations.3. Disciplined Agile IT (DAIT)DAIT aspect helps to understand how to apply Agile and Lean strategies to IT organizations. This aspect comprises of all IT-level activities such as enterprise architecture, data management, portfolio management, IT governance, and other capabilities.4.Disciplined Agile Enterprise (DAE)DAE can predict and respond quickly to the changes in the marketplace by facilitating a change through an organizational culture and structure. This aspect can be applied to organizations having the learning mindset in the mainstream business and underlying lean and agile processes to drive innovation.The second one, Disciplined DevOps principles deal exactly with what I mentioned before: the different derivatives and combinations of DevOps. They start by giving an answer to the question of why it is so difficult to come to a common definition of DevOps:Specialized IT practitionersMany IT professionals still tend to specialize, choose a focus, like DBA, enterprise architect, operations engineer, or whatever. Each discipline will focus on its own aspect of DevOps.Agilists are focused on continuous deliveryBecause of their focus on releasing daily or even several times a day, a lot of discussions deal with bringing new features faster and more frequently to production and not paying attention to all aspects of DevOpsOperations professionals are often frustratedSystems administrators are crunched between the push of the development teams to deliver faster and more frequently and the typical stringent service management processes they have to deal with, that are not yet adapted to the need for more frequent changesTool vendors have limited offeringsA fool with a tool is still a fool… DevOps tool vendors only focus on these DevOps-aspects that their tools coverService vendors have limited offeringsSimilarly to tool vendors, service vendors will only focus on these DevOps aspects that their  services can currently coverTool vendors treat DevOps as a marketing buzzwordSurfing the waves of the hypes, vendors might be persuaded to rebrand their existing toolset to something DevOps-ish, because it sounds better in a sales pitch. Sounds like window dressing…The DevOps = Cloud visionApparently, some people think that implementing DevOps in your organization can only succeed if you move to a cloud-based platform. Although cloud-native development practices are a facilitator for implementing DevOps, it not a requirement. And moving to a cloud platform definitely isn’t a requirement.All these reasons make that person come up with DevOps combinations that give an answer to only part of the problem.Disciplined DevOps mentions the following visions:1. BizDevOpsBizDevOps is a basic DevOps vision that explicitly brings the customers into the picture. BizDevOps is also called BusDevOps. DevOps is not just for teams, but it can be potentially applicable to any team supporting an incremental delivery lifecycle. The BizDevOps workflow consists of Business Operations, activities of delivering of products and services to the organizations. BusDevOps seeks to streamline the entire value stream, not just the IT portion of it. Its workflow is depicted in the diagram below.2.   DevSecOpsAnother common improvement over the basic DevOps vision is something called DevSecOps. The aim behind this vision is to ensure data security by getting the various security issues, adopting the latest security practices, and finding out and addressing the highest priority security gaps [DevSecOps]. This vision includes collaborative security engineers, exploit testing, real-time security monitoring, and building “rugged software” that has built-in security controls. The workflow of DevSecOps is shown in the figure.  3. DevDataOpsThe aim behind DevDataOps is to maintain a balance between the current needs of data management consists of providing timely and accurate information to the organization and DevOps to respond to the marketplace. Supporting data management activities include the definition, support, and evolution of data and information standards and guidelines; the creation, support, evolution, and operation of data sources of record within your organization; and the creation, support, evolution, and operation of  data warehouse (DW)/business intelligence (BI) solutions. The following figure depicting the workflow of DevDataOps.Or should we just stick to the term DevOps?Even though the message of Scott Ambler and Mark Lines is perfectly reasonable, not everybody might the term Disciplined DevOps. It fits their framework like a glove: everything boils down to Disciplined. If you don’t want to be framed into the Disciplined Agile/DevOps framework (pun intended), you may as well stick to the term DevOps and make sure that you cover all the aspects, which include business, security, data, release management and support.
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Why Stop Inventing New DevOps Combinations?

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Why Stop Inventing New DevOps Combinations?

DevOps - What's in a name?

The term DevOps is well known by now. It was initially introduced by Patrick Dubois a Belgian IT consultant who organized an agile oriented event in October 2009 and named it DevOpsDays, targeting not only developers but also systems administrators, managers, and toolsmiths from all over the world. After the conference, the conversations continued on Twitter with the hashtag #DevOps.

If you want to know more about the origin of the DevOps, you can check the video given below which gives you a lot of background about the reason why Patrick Dubois initially started this DevOpsDays conference:


DevOps and the rise of the combinations and derivatives

With the increasing popularity of DevOps, more people start to give their definition of DevOps. The different definitions of DevOps that go around can differ, depending on what aspect(s) of DevOps you want to focus.

In a previous article, I wrote about how to explain DevOps in 5 letters - CALMS or CALMR i.e CALMS framework for DevOps
CALMS modelSome other definitions tend to focus primarily on the automation aspect, omitting the Agile foundation. As a consequence, you get the first combination of DevOps, named BizDevOps or BusDevOps. There are different interpretations about what BizDevOps actually means. 

“BizDevOps, also known as DevOps 2.0, is an approach to software development that encourages developers, operations staff and business teams to work together so the organization can develop software more quickly, be more responsive to user demand and ultimately maximize revenue.”

At the same time, it is the most disputable definition. This definition assumes that DevOps is mainly a technology-driven initiative that hardly involves business people. But as mentioned in my previous article, the foundation of DevOps is culture, which goes back to the agile principles. And we all know that agile without business is only symptomatic. So DevOps without business is as symptomatic as agile without business.

According to the Dzone article, DevOps is focusing on a single application or system whereas BizDevOps is focusing on the entire enterprise with all its complex processes and the mixture of applications and systems that support these complex processes.

According to this article, BizDevOps provides an answer to dealing with:

Devops
OK, fair point, but these aspects could as well be tackled by defining proper value streams and Agile Release Trains to deal with all the links and dependencies between these systems and applications. I don't see the need to come up with a different term.

I guess you understand by now that I am not a big fan of the BizDevOps term and the confusion it creates. But it can get worse. It was some likely clever tool vendors that came up with the term DevSecOps. And if it is not the tool vendors that invented it, at least they were so clever to jump on the wagon to support the need for more security awareness in DevOps.

Nowadays, large tool vendors using of the term DevSecOps instead of DevOps.

Here's my opinion on this: security should be an integral part of DevOps. It should be a part of the culture:

Don't only think about what something functionally should do, but also what can go wrong (think Abuse or Misuse cases). It is also a part of the automation. All security related tests should be automated as much as possible. Think about scanning vulnerabilities in your own source code, vulnerabilities in external libraries that you use, scanning your container images for vulnerabilities, or even - up to some extent - automated penetration testing. It is also a part of Lean principles: when a security test in your build pipeline fails (e.g. scanning your source code discovers a critical vulnerability), you stop the line.

So again, the is no reason why the term DevSecOps should exist at all.

Now that we have business and security covered, we can go on and see who else could feel denied or at least ignored? Maybe DBA's? Or any other person involved in data management? Maybe, that is the reason why we also have DevDataOps nowadays.

I could go on for a while like this. But you get the point by now: it is useless

Maybe the DAD is right!

I recently got to read an interesting article on disciplined agile delivery, the information portal from Mark Lines and Scott Ambler of their Disciplined Agile Delivery, or short DAD. DAD is not - as they call it - an agile methodology, but a process selection framework. DAD is the kernel of a layered model, like an onion, that they call Disciplined Agile and that consists of the following layers:
Disciplined Agile
Let’s explore each aspect in Disciplined Agile Framework mentioned in the diagram.

1. Disciplined Agile Delivery (DAD)

Disciplined Agile Delivery (DAD) aspect consists of initial modeling and planning, forming the team, securing funding, continuous architecture, continuous testing, continuous development, and governance all the way through the lifecycle. The Disciplined Agile Delivery (DAD) framework supports multiple delivery life cycles, basic/Agile lifecycle based on Scrum, a lean lifecycle based on Kanban, and a modern Agile lifecycle for continuous delivery. This aspect is responsible for addressing all the aspects of solution delivery.

2. Disciplined DevOps

Disciplined DevOps streamlines the IT solution development and IT operations activities, and supports organization-IT activities, to benefit more effective outcomes to the organizations.

3. Disciplined Agile IT (DAIT)

DAIT aspect helps to understand how to apply Agile and Lean strategies to IT organizations. This aspect comprises of all IT-level activities such as enterprise architecture, data management, portfolio management, IT governance, and other capabilities.

4.Disciplined Agile Enterprise (DAE)

DAE can predict and respond quickly to the changes in the marketplace by facilitating a change through an organizational culture and structure. This aspect can be applied to organizations having the learning mindset in the mainstream business and underlying lean and agile processes to drive innovation.

The second one, Disciplined DevOps principles deal exactly with what I mentioned before: the different derivatives and combinations of DevOps. They start by giving an answer to the question of why it is so difficult to come to a common definition of DevOps:

Specialized IT practitioners
Many IT professionals still tend to specialize, choose a focus, like DBA, enterprise architect, operations engineer, or whatever. Each discipline will focus on its own aspect of DevOps.

Agilists are focused on continuous delivery
Because of their focus on releasing daily or even several times a day, a lot of discussions deal with bringing new features faster and more frequently to production and not paying attention to all aspects of DevOps

Operations professionals are often frustrated
Systems administrators are crunched between the push of the development teams to deliver faster and more frequently and the typical stringent service management processes they have to deal with, that are not yet adapted to the need for more frequent changes

Tool vendors have limited offerings
A fool with a tool is still a fool… DevOps tool vendors only focus on these DevOps-aspects that their tools cover

Service vendors have limited offerings
Similarly to tool vendors, service vendors will only focus on these DevOps aspects that their  services can currently cover

Tool vendors treat DevOps as a marketing buzzword
Surfing the waves of the hypes, vendors might be persuaded to rebrand their existing toolset to something DevOps-ish, because it sounds better in a sales pitch. Sounds like window dressing…

The DevOps = Cloud vision

Apparently, some people think that implementing DevOps in your organization can only succeed if you move to a cloud-based platform. Although cloud-native development practices are a facilitator for implementing DevOps, it not a requirement. And moving to a cloud platform definitely isn’t a requirement.
All these reasons make that person come up with DevOps combinations that give an answer to only part of the problem.

Disciplined DevOps mentions the following visions:

1. BizDevOps

BizDevOps is a basic DevOps vision that explicitly brings the customers into the picture. BizDevOps is also called BusDevOps. DevOps is not just for teams, but it can be potentially applicable to any team supporting an incremental delivery lifecycle. The BizDevOps workflow consists of Business Operations, activities of delivering of products and services to the organizations. BusDevOps seeks to streamline the entire value stream, not just the IT portion of it. Its workflow is depicted in the diagram below.

BizDevOps


2.   DevSecOps

Another common improvement over the basic DevOps vision is something called DevSecOps. The aim behind this vision is to ensure data security by getting the various security issues, adopting the latest security practices, and finding out and addressing the highest priority security gaps [DevSecOps]. This vision includes collaborative security engineers, exploit testing, real-time security monitoring, and building “rugged software” that has built-in security controls. The workflow of DevSecOps is shown in the figure.  

DevSecOps
3. DevDataOps

The aim behind DevDataOps is to maintain a balance between the current needs of data management consists of providing timely and accurate information to the organization and DevOps to respond to the marketplace. Supporting data management activities include the definition, support, and evolution of data and information standards and guidelines; the creation, support, evolution, and operation of data sources of record within your organization; and the creation, support, evolution, and operation of  data warehouse (DW)/business intelligence (BI) solutions. The following figure depicting the workflow of DevDataOps.

 DevDataOps

Or should we just stick to the term DevOps?

Even though the message of Scott Ambler and Mark Lines is perfectly reasonable, not everybody might the term Disciplined DevOps. It fits their framework like a glove: everything boils down to Disciplined. 

If you don’t want to be framed into the Disciplined Agile/DevOps framework (pun intended), you may as well stick to the term DevOps and make sure that you cover all the aspects, which include business, security, data, release management and support.

Koen

Koen Vastmans

Blog Author

I am an IT professional working in a major Belgian bank for over 26 years. I have been into software development for several years, mostly in Java, from COTS software integration over web applications to digital signing. The past 6 years I was an agile coach and trainer. I recently joined a team of cloud native development, to focus on DevOps processes and organisation.

My passion for agile and DevOps is my main driver to share my ideas about these topics.

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12 DevOps Skills That A DevOps Engineer Should Master

Are you an engineer looking out to excel in DevOps skills? Is your team looking to adopt DevOps? You have come to the right place. In this article, we will discuss key DevOps engineering skills that make you an expert in this space. DevOps is all about breaking down the traditional silos and creating a culture of collaboration between business, operations and development teams. Along with the culture aspect, DevOps also emphasizes the key aspect of automating any repetitive and error-prone tasks using a spectrum of modern engineering tools. This article will help you gain insights on 12 specific skill set one needs to master in this space.One thing to keep in mind when you talk about a “DevOps engineer“ is that it is not a role but a skill set that needs to be mastered by every software developer and not just operation folks.DevOps Skills"DevOps, everyone is doing it, few have mastered it " - Mirco Hering, Author of “DevOps for the Modern Enterprise”. He explicitly quotes that nowadays all are adopting and working in DevOps way without understanding much about the key concepts and skills needed. Only a few are doing it right. What started as a great idea would end up in becoming a mere buzz word if we don’t understand the 12 Devops engineering skills.The 12 DevOps engineering skills are:1. Linux fundamentals and scriptingLinux is an open-source operating system created by Linus Torvalds in 1991. Since then there has been no looking back. Linux is now the most preferred operating system in the world. It’s more secure, compared to other operating systems like windows. Most of the companies have their environment setup in Linux based systems.Many DevOps tools in the configuration management space like Chef, Ansible, Puppet, etc have their architecture based on Linux master nodes. These tools help in provisioning and managing infrastructure automatically with the help of any scripting language like Ruby, Python, etc.Linux fundamentals and scripting know-how is a must to get you started with infrastructure automation which is a key concept in DevOps.2. Knowledge of various DevOps tools and technologiesDevOps is implemented with the help of tools but in most of the cases, DevOps is often misunderstood as tools. We have to always remember the great quote from Scott Hanselman “The most powerful tool we have as developers are automation.”The main aim of DevOps is to add value to the customer at an increased pace. Tools are chosen to incorporate this purpose and never to be used for the sake of using it. Technical knowledge of the tools is an added advantage for you to embrace DevOps.DevOps tools are categorized broadly into 10 categories:Collaboration toolsApplication Life management and Issue Tracking toolsCloud/Iaas/Paas/Serverless toolsSource control management toolsPackage ManagersContinuous Integration and continuous delivery toolsContinuous Testing toolsRelease orchestration toolsMonitoring toolsAnalytics tools.In each of these categories, we have more than 10 tools. A right tool must be chosen in each of these categories based on client requirements and the project environment. The main point to remember is that a tool should add value to the customer either by reducing delivery time or increasing the quality of the deliverables.3. Continuous Integration And Continuous DeliveryA better understanding of the continuous integration and continuous delivery approaches helps to deliver a high-quality product at a faster pace to the clients.Continuous integration is one of the best practices in DevOps Community where whenever a developer finishes a functionality or a user story(in terms of scrum) he/she integrates the new code with the existing code base continuously. This helps to save a lot of time spent during the integration phase of the project. Continuous integration helps to detect integration issues in the early stages itself thus making the life of the developer easier.Continuous delivery comes as an extension to continuous integration where the newly integrated code is made ready for deployment automatically without or minimum human intervention. Often in the case of the waterfall model, the development team has to release the new code to the testing team and then the testing team takes it forward. This usually takes a couple of days. These delays could be avoided by automating the transfer and testing process, making the code ready for deployment quickly.Continuous deployment is the next step in automating the delivery pipeline of an application. This is where the new code is automatically deployed in the production environment. Some of the software companies do not consider continuous deployment as a best practice as they foresee it as a place where a lot of defects can creep into.4. Infrastructure as Code (IAC)Infrastructure as Code is the latest best practice in the DevOps community. This helps to provision and manage infrastructure by abstracting to a high-level programming language. Thus all the features of the source code could be applied to the infrastructure of the application like version control, tracking, storing in repositories, etc. With the emergence of IAC, days of manually configured infrastructure and infrastructure shell scripts are gone. A person who knows to develop infrastructure as code creates less error-prone, consistent and reliable infrastructure.5. DevOps Key ConceptsDevOps is a culture where business, development, and operations teams collaborate breaking the traditional silos. The key value is to create a cross-functional team that knows what each team member does and where any team member can take up the work of the other, thus providing a better collaboration within team members and delivering a high-quality product to the customer. Since we don’t have silos anymore, unwanted time spent on transfer of the code between various teams like the testing team, the operation team is reduced, increasing the pace of delivery.Another key concept is automating everything. This is done to generate a high-quality product for the customers by reducing human defects.6. Soft SkillsDevOps emphasizes culture and people more than tools and practices. Hence people skills are a must-have when we are trying to adopt DevOps. The next important key value is trust among the team members. Trust is enabled by active and effective communication between team members creating positive vibes among team members. This, in turn, gets reflected on the quality of the deliverables and finishing off the work on time.7. Customer-first mindsetDevOps emphasizes on a customer-first mindset. All people who adopt DevOps should take decisions keeping this in mind. No activity should be performed that does not add value to the customer.8. Security skillsDevOps is all about speed, automation, and quality. As we increase the speed often we encounter vulnerabilities that get introduced into the code at a faster pace. DevOps practitioners should be able to write the code that is protected from various attacks. This has often led to DevSecOps thinking where security features are incorporated from the beginning rather than stitching it at the end.9. FlexibilityAccording to Heraclitus: “The Only Thing That Is Constant Is Change ”. A team that embraces DevOps must be equipped to adopt change. All team members should be able to accept a  requirement change or a role change. He/she must be comfortable to work in integration, testing, release, deployment, etc and also should have the technical knowhow. He/she must be aware of modern engineering tools and should be equipped to work on different tools based on requirements. Anant Agarwal, CEO of edX summarises the flexibility as follows:“It’s hard to learn something that seems to evolve as quickly as the lessons are taught. Self-learners are the perfect candidates for embracing and pursuing  DevOps adoption, as it requires a roll-up-your-sleeves, trial-and-error, do-it-yourself, continuous learning approach.”10. CollaborationCollaboration is one of the important key values in DevOps. A team that adopts DevOps is a cross-functional team where members from business, operations and development teams co-exist. Active collaboration is a key skill required by the team members. There should be transparency between the team members. Everyone should know what is happening in the team and who is responsible for a particular task.11. Decision-makingDecisiveness or decision-making is one of the key elements employers look for in their employees. The ever-changing nature of the code in the DevOps team should be handled by a person who is quick in taking decisions. Thus enabling quick delivery and deployment of new code. Faster deployments give faster returns to the customer and provide immediate feedback from the end-users. This often leads to customer satisfaction.12. Agile engineeringDevOps was introduced in 2008 by Patrick Debois and Andrew Clay Shafer after a discussion about agile infrastructure. Therefore DevOps is heavily rooted in agile principles and values. 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Because, at the end of the day, customer satisfaction is the key to running a successful business enterprise.
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How to Install Docker on Windows, Mac, & Linux: A Step-By-Step Guide

Docker is intended to benefit developers and system managers and makes it a component of a number of toolchains for DevOps (developers + activities). This implies that designers can concentrate their attention on writing code without worrying about the scheme that it will eventually run on. It also gives them the opportunity to take advantage of one of the thousands of programs intended to operate as part of their implementation in a container at Docker. 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A straightforward Ubuntu server mounted on the Oracle Virtual Box is shown in the following screenshot. There is an OS user called a demo defined with full root access to the scheme:Step 1 − We must first make sure you have the correct version of the Linux kernel running before installing Docker. Only version 3.8 or greater is intended for Docker on Linux kernel. We can do this with the instructions below.Uname: The system data for the Linux system is returned by this method. This method will return the kernel name, kernel release, kernel version information on the Linux system.uname -aa − Used for ensuring the return of the system data.Step 2 − You need to install packages from the internet onto the Linux system via the following command, the recent packages can be updated to the OS.apt-get Optionssudo− The sudo command is used to make sure the command runs with root access.update− Update option ensures that all packages on the Linux system are updated.sudo apt-get update Step 3- The next step is to install the certificates needed to later download required Docker packages for a job with the Docker site. The following command can be used.sudo apt-get install apt-transport-https ca-certificates Step 4− Adding fresh GPG key will be the next step. This key must guarantee that the required packages for Docker are all encrypted.This command is intended to download the key from hkp:/ha.pool.sks-keyservers.net:80 and add it to the adv keychain by means of the ID58118E89F3A912897C070ADBF76221572C52609D. Please note that to download the necessary Docker packages, this specific key is needed.Step 5 − Next, you need to add the appropriate site to docker.list of the apt package manager, depending on the version of Ubuntu which you hold, to allow it to detect and download the Docker packages from the Docker site.Precise 12.04 (LTS) ─ deb https://apt.dockerproject.org/repoubuntu-precise mainTrusty 14.04 (LTS) ─ deb https://apt.dockerproject.org/repo/ ubuntu-trusty mainWily 15.10 ─ deb https://apt.dockerproject.org/repo ubuntu-wily mainXenial 16.04 (LTS) - https://apt.dockerproject.org/repo ubuntu-xenial mainecho "deb https://apt.dockerproject.org/repo ubuntu-trusty main”     | sudo tee /etc/apt/sources.list.d/docker.listStep 6 –The next step is to update the packages on Ubuntu scheme with the apt-get update command.Step 7 ‐ if we want to make sure that the package manager points towards the correct repository then we can do this by issuing the apt-cache command.apt-cache policy docker-engineStep 8– Edit the update command apt-get to guarantee that all local system packages are up-to-date.Step 9- The Linux-image-extra-* kernel packages that allow the user to use the aufs storage driver are required for Ubuntu Trusty, Wily and Xenial. The newer variants of Docker use this engine.The following command can be used:sudo apt-get install linux-image-extra-$(uname -r)  linux-image-extra-virtualStep 10− Installing Docker is the final step and this can be done with the following command:sudo apt-get install –y docker-engineHere, apt-get utilizes the installation feature to download and install Docker from the Docker page. The Docker engine is the official package for Ubuntu based devices by the Docker Corporation.The docker running version can be checked by running below command:docker version
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Top 10 DevOps Programming Languages That You Must Know

DevOps movement tries to eliminate the gap between software development and IT operations. Programming languages act as one of the most important tools in DevOps. To be successful in DeOps and achieve Continuous Integration/Continuous Delivery (CI/CD), making the right choice of a programming language is very essential. Below discussed are the top 10 DevOps programming languages that you can opt for to become a successful DevOps engineer. Ruby: Even though it is considered to be higher-level programming, it is much easier to learn Ruby when learning to code. The top use case of Ruby is its infrastructure management and is very similar to Python. It provides a flexible approach to programming as the developers can make alterations in parts of the language to fit the requirements. Moreover, it allows you to manipulate frameworks and controllers. Hence, it is a very powerful language.Many infrastructure projects utilise Ruby, like ManageIQ is a Ruby on Rails app.  C/C++: Even though different programming trends have come and gone and continue to do so, C has remained as one of the most popular programming languages for more than half a century. C/C++ offers multiple benefits like fast and high performance and acts as a foundation for modern computing. Moreover, C is such a language that most programmers already know (to some extent).  However, C/C++ have drawbacks while working in a DevOps environment. Its size is greater in magnitude when compared to languages like Go or Ruby. As a consequence, the compilation time is also greater in C/C++. Also, the application binaries produced by C are not portable.  Hence, DevOps has a lesser friendly approach to using C/C++.Python: Python is a scripting language that is very useful for managing infrastructure. With a wide range of usage, it is used to build cloud-based infrastructure projects like OpenStack, while it also supports web applications through frameworks like Django. It is even considered as the most popular language for machine learning.When it comes to DevOps, Python helps reduce maintenance problems with the help of monitoring and deployment tools like Salt, Ansible, etc.  JavaScript: JavaScript is a lightweight, interpreted programming language, which allows you to build interactive websites. Nowadays, it is also being used in mobile app development, desktop app development and game development. There are many popular frameworks and libraries written in JavaScript, such as React, Node, etc.JavaScript might get a bit complicated for DevOps, but that doesn’t mean that they don’t tag along well. On the brighter side, it offers less interaction, immediate feedback along with better interfaces as compared to other languages.Go: Due to the fact that Go made its debut in 2009, near about the time when DevOps was hitting the market, DevOps and Go have tended to grow together, side by in various respects. Built on the foundation of C, it emphasises more on lean, network=efficient runtime, which acts as an advantage for DevOps.Go is an amazing choice of programming language for DevOps as it offers excellent performance. It takes care of concurrency and is highly portable. Also, there isn’t any need for creating dependencies when compiling Go applications and can be built quickly.SQL: Structured Query Language (SQL) is a computer language which stores, manipulates and queries data in relational databases.SQL is used in DevOps due to its container support. SQL Server 2017 supports Linux OS and its containers run on Windows, Linux and macOS.Bash: Bash is one of the most frequently used Unix Shell and carries a lot of support. Bash’s Shell and scripting language powers thousands of Linux systems around the world. Moreover, it is available for Windows and Mac too.Perl: Perl is a stable, cross-platform programming language which belongs to a family of high-level, general-purpose, dynamic programming language. It is used for simple as well as complex tasks, for small or major projects. Perl provides a quick fix solution for web apps, text processing, GUI development, etc.Since DevOps is a combination of Software Development and IT Operations, Perl is used more on the application development side.Java: Java is an object-oriented, class-based and general-purpose programming language. It is ideal for jobs which are concurrent in nature and requires its implementation dependencies to be reduced. It is widely used due to its versatility and power.PHP: PHP is a general-purpose programming language which is used all over the world. PHP covers the internal system right from its early stages up to its implementation.PHP is perfect to be utilized by your DevOps if you wish to use a programming language for non-specific coding.To Conclude:It is never too late for a Developer to learn new and different programming languages. Due to the advancement in the technology in automation and operation, you can always opt to work and sharpen new skills and programming languages.
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Top 10 DevOps Programming Languages That You Must ...

DevOps movement tries to eliminate the gap between... Read More