Why Do You Need to Migrate Your DevOps Architecture to the Cloud?June 25, 2019
The recent technological advancements in the cloud sector and deeper interests in DevOps is making wonders to the organizations and laying a thought of linking them together. The development operations and creation of a continuous development cycle is a new concept and since then developers are working towards broken release cycles, heterogeneous tools and coding practices that are slowing down the entire process.
We are getting more involved in a data-driven society where digital transformations will require agility and speedy process to outstrip traditional practices and architecture. Many organizations are thinking to merge their DevOps architecture with the cloud solutions and leverage maximum benefits that can bring the level of agility to the enterprise.
DevOps is not just any technology but it is considered as a scope which will directly impact your ability to compete in the market and your organization as well. Here the question arises why not we leverage tools and platforms that can not only save you more bucks but also improve your market capabilities? Well, this can be done by merging out your DevOps architecture with the cloud solutions. When offloading DevOps, testing and CI/CD into the cloud systems, you need to unlock the maximum agility possible for development ecosystem. You can also simplify your overall technology stack and get a chance to save more bucks. For instance – event-driven architectures allows to leverage resources when you use them and hence DevOps professionals do not have access to idle VMs for even running a single piece of code.
Let us have a look at some interesting reasons to migrate your DevOps architecture with cloud solutions to leverage maximum outputs for your enterprise.
Go for leveraging an on-demand compute engine
Google is having its own Compute Engine whereas Microsoft AWS has EC2 where you can launch VMs on demand or when in need. You can also predefine their size and get different types of custom machines for each specific needs. It also allows having multiple options around the resources to use and leverage all from solid-state resources to persistent disks which are delivering consistent and predictable performance. From a DevOps perspective, you need to deliver applications, code, and services with automatic scaling capabilities to isolate services for special use-cases.
Manage your DevOps deployments
The cloud deployment manager specifies all the resources that are required by your applications from leveraging a declarative format by making use of yaml. You may also use Jina2 or Python to remove complex and painstaking steps that are usually required for a good DevOps development by replacing it with the traditional process of predefining the deployment processes. After knowing all of these, GCP lets you leverage all the required tools and processes. When done right, such type of architecture becomes scalable, repeatable and easier to manage.
Event-driven and Serverless computations
It becomes challenging to manage a large DevOps practice when all of the components are over the place. You have a Cloud Console which turns into a single window for your entire cloud DevOps practice which indicates that seeing data stores, networking policies, developer services, VMs and much more. All of this allows monitoring your entire DevOps platform with the help of tools that create a continuous delivery cycle.
Also, the cloud DevOps needs to be paid only while your code runs. This requires no servers to manage, updates or even patch still you can leverage Cloud Functions to make this happen and create fault tolerance or incorporate more cloud services. The biggest point here is that there are no idle services to simply set into your data center. This sounds to be an amazing tool integration with application backends while working with the APIs and IoT backends for developing mobile backend solutions.
Once you get your DevOps practice in the cloud, this opens the door for many other opportunities as well. You can begin up with new initiatives across the data ingestion into a data pool which takes you to spin up other cloud services as a new business segment. It is vital to explore some more cloud landscape aside being agile and deploying speed of digital market aside GCP to ensure that you are working with the right type of model. Major organizations are taking big advantages of cloud services by changing their practices which ultimately helps them lower costs, simplify deployment and develop more competitive advantages. Keep Learning!
About the Author
Charles Richards strongly believes that knowledge is meant to be shared, for there is a lot we can learn from each other. A business analyst by day and a writer at night, Charles like to write on some new and trending technical aspects. He is currently working at TatvaSoft UK which is a leading software development company in the UK.
DevOps Photo credit to Matt Moor.