DevOps is the union of people, process, and products to enable continuous delivery of value to your end users. Azure DevOps is a set of services that gives you the tools you need to do just that. With Azure DevOps, you can build, test, and deploy any application, either to the cloud or on premises. DevOps practices that enable transparency, cooperation, continuous delivery and continuous deployment become embedded in your software development lifecycle.
Azure DevOps provides several tools you can use for better team collaboration. It also has tools for automated build processes, testing, version control, and package management. That’s quite a bit to cover! We’ll get to all the tools eventually. For now, let’s follow the team as they begin with an overview of what Azure DevOps is and how they can get started.
Agile is a term that’s used to describe approaches to software development, emphasizing incremental delivery, team collaboration, continual planning, and continual learning. Agile isn’t a process as much as it is a philosophy or mindset for planning the work that a team will do. It’s based on iterative development and helps a team better plan for and react to the inevitable changes that occur in software development. Let’s listen in on Mara’s discussion with Andy after the latest release.
Recommendations for adopting Agile
Create an organizational structure that supports Agile practices
Mentor team members on Agile techniques and practices
Enable in-team and cross-team collaboration:- If collaboration is the key to becoming successful at Agile, what are some of the ways you can encourage it? Here are some ideas.
Azure Boards is a tool in Azure DevOps to help teams plan the work that needs to be done. The Tailspin team will use this tool to get a better idea of what work needs to be done and how to prioritize it.
In the Description field, type The Space Game website.
Under Visibility, you choose whether to make your project public or private. For now, you can choose private.
Under Version control, make sure that Git is selected. Under Work item process, make sure that Basic is selected.
Create a team
Select Project settings in the lower-left corner.
On the Project details page, under General, select Teams.
Select Space Game – web Team.
Add team members
Under Members, select + Add.
Enter the email address of the user you’d like to add. Then select Save changes.
Repeat the process for any other members you’d like to add.
Create the board
In the column on the left, point to Boards and select Boards from the menu that appears.
Select Space Game – web Team boards. A blank board appears.
In the To Do column, select the green + button next to the New item field.
Enter Stabilize the build server and then press Enter.
Select the ellipsis (…), and then select Open.
In the Description field, enter this text (The build server keeps falling over. The OS, Ubuntu 16.04, requires security patches and updates. It’s also a challenge to keep build tools and other software up to date.)
Select Save & Close.
Follow the same steps for the next two items.
Create a Git-based workflow
Migrate source code to GitHub and define how we’ll collaborate.
Create unit tests
Add unit tests to the project to help minimize regression bugs.
Drag Stabilize the build server to the top of the stack. Then, drag Create a Git-based workflow to the second item position. Your final board looks like this.
Define a sprint
In the left-side column, select Sprints.
Select Set dates from the upper right.
Leave the name as Sprint 1.
In the Start date field, select the calendar and pick today’s date.
In the End date field, select the calendar and pick the date two weeks from today.
Select Save and Close.
Assign tasks and set the iteration
Under Boards, select Work items.
Select Stabilize the build server.
In the Iteration drop-down list, select Sprint 1.
From the same window, select Unassigned and set yourself as the task owner.
I will try to cover the Docker basics in different posts to allow people and reader understand more about this tools, also i will provide reference in each of the posts in case you need more information:-
Set up your Docker environment
Build an image and run it as one container
Scale your app to run multiple containers
Distribute your app across a cluster
Stack services by adding a backend database
Deploy your app to production
To Understand docker more you can imagine or can been seen as computer inside your current computer, the most cool thing about docker is that you will not even feel that there is another computer running inside your computer and share the same resource of your computer, include to that if you friend ask for the same container all you have to do is send it to them and they will have the same output for anything running at this container.
Why Should i use docker when there are similar solution :-
Very simple to configure.
Docker provides this same capability without the overhead of a virtual machine
Docker provides a consistent environment for the application from dev through production, easing the code development and deployment pipeline.
There is more than these reasons to use docker but i choose to mentioned the one i used docker for, since it will be more reliable and trusted to share something i already done it and used it before.
Basic Vocabulary that you should understand before using Docker:-
Container Vs Image
This is very common question to people who using docker what is the difference between container and image ? so the answer is very simple, Container is running the image but not vice versa, so the container is launched by running an image, and the image is group of executable package that include everything you can imagine to run the application such as libraries, code, .. etc.
Containers vs Virtual Machine
i mentioned earlier that containers/Docker could computer inside your computer which means it’s running on your operating system without any third party solution or client, and share the same resource of your PC, runs a discrete process, taking no more memory than any other executable, making it lightweight.
VM it’s totally different solution which is could be installed in two different way, the first one installed client that control the Server resource using another software such as VMware and ESXI, or the native way for example vmware workstation that installed on the guest PC.
First example on Docker
install Docker, Docker could be installed on different operating system distribution you can check here
if you need more information about docker that installed on your system.
Need to test if your installation is correct without any issue.
The last useful command which listing your image, the image as i already mentioned is executable package to run your code and each image having different executable file depends on your docker purpose.
The first command listing all the images under your machine, the second one List the hello-world image that was downloaded to your machine.
Database administrator job has been changed and it’s not like before any more, In the past The DBA responsibility was limited within database which mean troubleshooting, backup , Performance tuning, high availability .. etc after few years new layer has been added to the responsibility which is application server layer for example weblogic ,Oracle embedded the weblogic with most of their products such as enterprise manager cloud, E-business suits, as i remember after three years another layer added to DBA knowledge which is virtualization and regarding to this virtualization made the DBA life more easier and not like before, solution providing another layer of backup and server management.
However now everything has been changed and the market working under new term which is CLOUD including different vendor AWS, Azure, and Oracle, As DBA your knowledge shouldn’t stop by only Database, within cloud there is new tools that can help the DBA with their daily Job and it’s called Devops.
DBA usually review each change request to ensure that it is well thought out,They are in charge of monitoring their databases and keeping them available and high-performing, manage access to and the overall security of the platform.
Database automation frees the DBA from the bottleneck of the past that delayed application releases since there is different environment production, Pre-Production, Development or Testing, the DevOps Automation relieved of the pressures of constantly having to juggle and merge various teams’ database changes, are now free to help their organisations take bigger steps forward in ongoing innovation.
But what is the Devops ? And How can i use to make my Job Easier
DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This speed enables organizations to better serve their customers and compete more effectively in the market.
Benefits of DevOps
Infrastructure as Code
Monitoring and Logging
Communication and Collaboration
DevOps practices for DBA and Data Team focus on the Tools, practices and techniques that are useful for the Data team to use for Development activities, Testing setup and execution, Collaboration techniques and Deployment tools and techniques. The aim of this site is to further the practice and help the DBA’s and Data team to use these practices to become productive and become part of the delivery team and embrace the devops movement.
There is more tools for sure each one of these tools having it’s own purpose for example Docker is one of the powerful container solutions, A container image is a lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, settings Available for both Linux and Windows based apps, containerized software will always run the same, regardless of the environment. Containers isolate software from its surroundings, for example differences between development and staging environments and help reduce conflicts between teams running different software on the same infrastructure.