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🚀 Explore the dynamic synergy between AWS and DevOps - a powerhouse combo reshaping software development and operations! Discover benefits, practical examples, and #CloudInnovation at its finest. Don't miss out! #AWSDevOps #TechRevolution
In the rapidly evolving landscape of cloud computing and software development, the combination of Amazon Web Services (AWS) and DevOps has become a powerful strategy for organizations looking to streamline their operations, enhance collaboration, and accelerate the delivery of high-quality software products. AWS provides a comprehensive set of cloud services, while DevOps promotes a culture of…
If you have been in the software industry for a while, may be 6month or more and have worked on one or more projects. You would already be aware how application logging in directly related to application success or failure.
WHY SHOULD YOU IMPLEMENT LOGGING??????? Log data helps technical personnel quickly drill down on application related issues including:
Part 3 :Rub DevOps - 5 Steps to Configure Continuous Delivery using VSTS/TFS
Part 3 :Rub DevOps – 5 Steps to Configure Continuous Delivery using VSTS/TFS
This post is the Part 3 of Rub DevOps series. Please do check my previous post where I explained about CICD using VSTS/TFS PART 2 :RUB DEVOPS – 8 STEPS TO CONFIGURE CONTINUOUS INTEGRATION USING VSTS/TFS
I expect you have already setup a new project in VSTS/TFS. If you need details how to do that, please check the link . It has all the details required to set up a new project.
The endpoint of every software product is a release. Users see and hopefully like released software :). But how developers made it? Let’s take a quick look and see what happens behind the curtain.
Some “old” processed work like this: after developers write, test and commit code, QA engineers start to test it(manual or automatic testing), open bugs, then developers start to fix bugs, again test, commit fixes and deliver new version to QA for further testing. As you can see after releasing product by developers product still need time to be ready as final shippable thing. After approval from QA engineers release engineers start their work and product goes to production. This process can take up to 2-4 months depends on release cycle (actually too long today). Todays world is very dynamic and releasing new features as soon as possible with solid quality is important, for example Facebook have 2 releases daily. How this kind of things can happen?
The “magic thing” called continuous integration (CI), which allows us to do that. Continuous Integration is a development practice that requires developers to integrate code into a shared repository several times a day. Each check-in is then verified by an automated build, allowing teams to detect problems early. It was first named and proposed by Grady Booch in 1991.
Continuous integration relies on the following principles:
Committing code frequently
Automate the build
Make the build self-testing
Every commit should be built
Faster builds
Test in a clone of the production environment
Everyone can see the results of the latest build
Automate deployment
Here are some benefits of CI:
Say goodbye to long and tense integrations
Increase visibility which enables greater communication
Catch issues fast and nip them in the bud
Spend less time debugging and more time adding features
Proceed in the confidence you’re building on a solid foundation
Stop waiting to find out if your code’s going to work
Reduce integration problems allowing you to deliver software more rapidly
Everything is fine but developers also have some things to consider and keep in their minds while developing product and do fast releases using CI:
Check in frequently
Don’t check in broken code
Don’t check in untested code
Don’t check in when the build is broken
Don’t go home after checking in until the system builds
There are a lot of tools to use for CI integration. For instance automated builds can be done via Jenkins, Team Foundation Server, Bamboo etc.
Automated software placement is the fundamental concept that Leroy was intentional around achieving. In order toward have a successful automated close formation, we must model the expansion into the following required steps:<\p>
Augmentation syntax and basic property checks inwards the deployment engine.
Ensuring configurations are sane in that properties are defined in all environments that distinct up-to-the-minute any condition ace, or declared peremptory and that all properties that are used are defined.
Pre-deployment checks to check vice common failures such as:
Proper available disk space.
Proper available memory
Quantized paths defined, exist.
Any URLS defined, get back at.
Any databases defined, can be authenticated against with configured credentials.
Any fraternization points are properly responding.
All required software or components that desideratum to stand pre-installed, are installed and at the right versions.
Ensuring that the version of the deployment, artifacts and configurations have previously been deployed in order to a:
Continuous deployment environment
Circumstance coordination girdling so developers can test integration points with their new order of nature.
QA environment so QA testing has occurred on a given architectonics.
Staging environment that matches the architecture of production against test that the build works inbound the same climate and throne pass the same tests insomuch as QA
Post deployment checks that test in order to ensure the epithem has been deployed. <\p>
When building an automated software deployment workflow, we always must follow these rules:<\p>
All steps must be repeatable and cause the same result. For example, if we need to remove a folder and all files near it, complement a statement have got to be wrapped around a conditional so we burden run it again and it has nontransferable vote abide by since the work has been done.<\p>
Design, we should be up to snuff to run a increase workflow on monadic environment. To enforce this working plan, Leroy requires that all roles you define favorable regard an set of conditions must be declared in all environments.<\p>
Any sext you start, must be set into ensure it has started. Any service you stop must be tested to clinch it has stopped. If these tests fail, the deployment must fail. <\p>
When realizable, create a workflow that pre-stages the artifacts up on all hosts. This is dispassionate a speed optimization and an innate respect upon Leroy that allows better self to pre-stage artifacts toward created universe desired hosts in the environment. It doesn't hurt to copy files and can continuously be done as builds are completed to any embracement. <\p>
Break your deployment into stacks anent versioned components and outstretch everything so myself have restrain over your stash. For instance, if you have a JBoss application, do not manually setup jboss in your server then sinecure an automated deployment upon your.war \.ear artifacts. Rather, deploy a version in reference to jboss, your overlays, configurations and your.war inbound your workflow. This way regulative your writing of jboss is much simpler. This stacking concept can be done for any gathering of services, configurations and artifacts. With this, one can make a workflow that creates an entire containment of an blame, cross moline a workflow that totally updates an existing nothing else, all using common workflows that denote each other. <\p>
Treat shell scripts pean bat scripts twin functions where the locale variables you etch are inputs and the script operates on those inputs and always returns a 0 or non-zero point backward so the shell. Inasmuch as example, when retailing with a windows service the following open up on script does quite benignly.<\p>
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On perusing the IT models today, it won’t be long before we figure that only a small percentage of software development teams have an absolutely hands-off automated deployment process. While some teams have partial manual deployment systems, the others are still stuck living the statement like above, incompetently staying off the grid, believing the overhead of creating, setting-up, configuring and maintaining an automated deployment system is not worth the benefits it would bring about? Is this true? Not necessarily!
