Solving Real-Time Scenarios With DevOps
Updated on Nov 10, 2022 | 9 min read | 8.9k views
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Updated on Nov 10, 2022 | 9 min read | 8.9k views
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There are many DevOps theories and principles that we have heard, but many of us don’t know about the implementation of these DevOps principles. Let us discuss and understand here about the DevOps Real-time Scenarios and their working.
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DevOps is an approach to software development that involves Continuous Monitoring, Continuous Deployment, Continuous Integration, Continuous Testing and Continuous Development of the software through its life cycle of the development. These kinds of activities are not possible in Waterfall or Agile, but in DevOps only. DevOps has been chosen as the forward way for the objective of large organizations such as Facebook. One can develop software of high-quality in a more short cycle of development and also can provide more satisfaction to the customers.
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One of the essential advantages of DevOps is that it does not waste any time. Rapid Updates and Deployment are enabled by aligning the resources and people of the company. The DevOps programs fix problems before they become worse. DevOps create collaboration among security teams, operation teams, and development teams. DevOps also promote a culture of transparency in the organization.
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DevOps allows the problem to be solved faster because the ability to trace anything is very high. One has more confidence in the visibility and the delivery of the operations.
DevOps is essential to make the process more straightforward. A business process is converted from a complex to a simple process. The time is taken to complete the process, thus shortens extensively. This allows the organization to be more responsive to the needs of the customers, receiving feedback faster on the features and more time to do marketing.
DevOps provides more agility to the development of software. It helps in the delivery of code with insight. The process of DevOps should be well-crafted, and gates should also be there. The current version of the software application can also run side by side with the new version that you are going to deliver. A comparison of various metrics, such as performance metrics can also be made to know if the development is achieving the objective and goal of developing.
Faster cycles of release and continuous improvement are promoted in the team of development by DevOps. It helps one to spend lesser time on the management of technology, processes, and tools and focuses more on other important matters such as providing better user experience.
DevOps minimize the time to deliver value to the customer. The cost that customers are paying is realized very quickly. The cycle time from completion of a task or story to the production migration is significantly reduced.
Core Activities of Business are focused more by the IT companies because DevOps allows them to manage other activities very efficiently. The team can focus more on the core business activities because deployment pipelines are automated, and obstacle within the value stream is removed. Rather than just moving bytes and bits, one can focus more on the creation of more customer value. The organization gets better outcomes in business and more advantage in the competition, which is sustainable with the help of activities of DevOps.
In continuous integration, the product is made live after the first working model of the project is created. Then after additional features are added promptly. The priority of the project manager might be to launch a few new features to the project as well make sure their teamwork well enough to meet the deadline. But the problem is, the development process cannot be planned. There can be certain conditions where the developer had to stop and fix some software bugs which is not in the plan and might slow down the production process. Also, the developer may think to make extra efforts on unexpected error will not be appreciated. This can defeat the process of adaptation.
To solve this:
When you migrate from your current development process to continuous integration methodology, there might be cases when the project requires to change some part of the development workflow. It’s not an easy task to change from one development process to the other. If you choose to modify the operation of the workflow to CI, you must take precautions before getting into the process of migrating; otherwise, it might hinder the development process productivity. An elegant and perfect plan should be created to migrate from one to the other methodology.
To solve this:
As in the case of continuous development, your team might be testing the project at every stage in which it can slow down the development process. Hence more tests will result in writing more test cases and testing them as well which consumes more time. Therefore the developer should decide their working between writing test cases and further fixing bugs. A developer might be tempted to test their build on the go to know any of the errors. But this should be done in a much more systematic way. Developers should create test cases on the go which can be used by the tester in the process of testing. Thus saves time for both examiner and developer.
To solve this:
Developers should not ignore error messages as error messages are meant to be read. They are thus giving developers some hints to solve those problems. Ignoring an error message is stupid enough that can cause wastage of money, time, resources and might lead to colossal rollback.
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There is a lack of environments, sometimes while implementing the principles of DevOps because continuous testing requires more testing by frequently hitting lots of situations. Many Environments are sometimes based on the APIs whose availability depends on the provider of the API.
One cannot conduct continuous testing if he does not receive feedback frequently. Visibility of test execution and results are equally important as the automation of constant testing.
The complexity of conducting tests continuously keeps on increasing as the project development move to the production environment. The number of tests keep growing and the complexity of the codes as well, which makes the situation more complicated for testing.
A pipeline is required to be integrated for automation. This is usually based on the understanding of when to scale, how to scale, how to analyze the results, why it works, how it works. This is called pipeline orchestration.
It is essential to have an accurate and particular understanding of the requirements of the specification. Many teams waste a lot of time in knowing the required specifications, which becomes a problem later. If one has got perfect specifications, then he can design better test plans.
Continuous Delivery in DevOps Real Time Scenarios
The old development process might be time-consuming, which leads to slower deployment and delivery as well. But not in this case of continuous development when the development process is boosted with continuous integration followed by continuous delivery. The by-product of continuous integration with the new feature is a standalone product that can be delivered straight after it is complete.
There might be cases when our build is out of date, and some dependencies are missing. These can lead to the failure of the product. This can be costlier as maintenance is the more significant part of the development lifecycle and if there are some significant issues in that phase, then it will cost more. Hence while deploying the build, a developer should make sure that the software is fully packed and tested that there is no missing component that will stop the application from running.
Monitoring the product after delivery is also essential as the process of development itself. Over populating monitor, log message might make the developers task hard to analyse its performance. Too little to no log messages can be a burden in the process of bug fixing. Hence, the right amount of info in the monitor log is sufficient enough to maintain the product.
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