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DevOps Guide For AWS Cloud Management 2020 - CirrusLabs

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Cloud and DevOps together have revolutionized the IT industry, making solutions easier, faster and safer. They are increasingly gaining importance because they help address some key transitions in IT, which are primarily driven by the rise of the service economy, the unprecedented and continuous pace of disruption and the infusion of the digital in every aspect of our lives. These shifts are rigorous and demand a lot of attention since they drive the businesses of today. According to a report by Gartner, the cloud services market in 2017 saw a growth of 18 percent alone, a sharp rise from 2016, accounting for $246.8 billion. The graph has been going up ever since.

Cloud management, therefore, has become the need of the hour since data protection is essential. Add to it the GDPR regulations that drive the cybersecurity systems of companies across the globe. In such a context, DevOps for AWS Cloud Management are the best and the most relatable solution.

According to a report by Forrester, the first wave of cloud computing was created by the Amazon Web Services that launched with a few simple compute and storage services in 2006. AWS provides a set of flexible services, designed to provide solutions that are rapid and reliable and deliver using AWS and DevOps practices. Using the DevOps management tools, these services simplify provisioning and managing infrastructure, deploying application code, monitoring applications and automating software release processes. These tools also help in managing infrastructure performances.

Why DevOps services for AWS Cloud Management?

DevOps is a development and operations bound together. This means that the configuration of the infrastructure is integral to the code itself, which is unlike the traditional method of developing a process on one machine and deploying the same on the other one. These days, a single unit does the development and tests the operation. In other words, the machine becomes part of the application. The role of cloud comes here because in order to get better reliability and performance, the infrastructure needs frequent changes as and when required, which is possible only when data is stored.

Tips to get the most from DevOps for AWS cloud management

Create a cloud architecture template

Creating a customized template would help in monitoring dependencies and runtime parameters that are required for the operation of the application. This allows system developers and administrators to easily create and manage AWS resources, provisioning and updating them in an orderly and predictable fashion.

Terraform is a new-age tool that enables multi-cloud support to safely create and manage the cloud infrastructure at scale. AWS Cloud Formation allows the source control of VPC design, application deployment architecture, network security design and application configuration in JSON format.

DevOps tool that can help

Tools like Ansins, Jenkins, and Docker not only help in configuration management but can also help in application deployment. They also speed up productivity since half the work is done in the form of data stored. Jenkins functions years in advance since it reports changes, conducts live testing and distributes codes across multiple machines. The best part about the tool is it integrates with any instrument in the continuous integration and delivery toolchain.

Simplify cloud management platforms and free up engineers’ time

These days, AWS offers some great services like RDS and ElasticSearch. These help in monitoring the AWS cloud management processes by simplifying the underlying infrastructure. The tools also provide cost-effective and resizable capacity while monitoring time-consuming database administration tasks. This will free up the engineer’s time to focus more on businesses and applications.

Cloud-based DevOps lessens the requirement of accounting for resources leveraged

Cloud-based DevOps services track the use of the application, user, data, developer and more, which is not possible in traditional systems. This makes it very easy to track the resources and make adjustments as needed.

It is a common scenario where industries are found with stifling growth because they are unable to acquire companies. The main reason behind this issue is the increasing IT backlog. However, DevOps would be lacking the strength to overcome the management obstacles with the features of a cloud platform. Enterprises intend to fix their application development processes by moving from Waterfall to DevOps, but before that, they have to ensure that they have a strong approach toward cloud app development. Enterprises have to understand that the change needs to start at the software level. Furthermore, the intent of implementing DevOps, in combination with cloud management platforms needs to be understood and acknowledged by those who use it