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How to improve cloud automation for this year?

By Megana Natarajan - February 23, 2021 3 Mins Read

How to improve cloud automation for this year

CIOs say that for 2021, they have to discover ways to identify easier methods for manual provision ad maintenance of cloud resources while monitoring costs

Enterprise leaders point out that there’s an overlap between infrastructure automation and cloud automation. This makes sense as a number of processes or principles used here are not much different from those used in on-premise infrastructure.

Most of the automation implemented by organizations for the hybrid cloud infrastructure will be quite similar to the automation that is required in an on-premise environment. Many of the major concepts of infrastructure automation like orchestration, micro services architecture, automated build pipelines (CI/CD), and containers – are still very applicable when discussing cloud automation.

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Ensuring complete visibility as the base for cloud automation

CIOs point out that what is not visible can’t be automated at least not in a conducive manner to achieve positive outcomes. It is vital to ensure visibility across all environments. The detection abilities of cloud management platforms serve an inventory of all available resources in a single window.

Most of the bigger cloud platforms provide built-in visibility discovery features and these might serve the purpose if users are working with a single environment or a provider. However, in hybrid multi-cloud or even multiple account/subscription environments, native tooling can’t bring together all data in a single view.

Such a situation entails that enterprises would have to manually handle the requirement with a range of tools instead of automatically collating it into a single place. The second method is a better approach, especially for diverse, complex environments. A cloud monitoring or management platform that provides the single view capability is essentially, automatically combining all the required data to one place. It can simplify long-term operations.

Implementing auto-scaling wherever applicable

One of the major advantages of a multi-cloud and hybrid cloud is the feature to increase rapidly without developing personal physical infrastructure to manage excess or peak capacity.

If organizations are continuously manually adding cloud resources where required, they are missing out on the basics of cloud automation, i.e., auto-scaling. Tapping into automation services and tools can ensure that cloud resources scale immediately to manage demand and server loads. This is one of the biggest benefits of Kubernetes. It provides multiple approaches to auto scaling resources. Most prominent cloud platforms also provide native tools.

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CIOs acknowledge that auto scaling can also help keep cloud costs under control by only adding resources at segments where they are actually required. This depends on whether the enterprise uses a hybrid cloud or a single cloud or multiple cloud environments.

It involves some strategic decision-making that relies on important variables like tools and platforms being used, including the auto scaling objectives. Such variables will inform enterprises how they can clearly define the best-automated scaling policies for the business.

Developing a plan for cost optimization and monitoring

Enterprise leaders point out that one of the major area where automation will make a huge difference is cost optimization. It is one of the biggest considerations for public cloud environments that are very different from on-premises environments. It is not a catch-all solution, but mostly a combination of strategies and tools, especially in the multi-cloud and hybrid cloud settings.

It’s crucial to be familiar with and utilize various available options to manage costs so that it doesn’t go out of control.

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Megana Natarajan

Megana Natarajan is a Global News Correspondent with OnDOt Media. She has experience in content creation and has previously created content for agriculture, travel, fashion, energy and markets. She has 3.9 years’ experience as a SAP consultant and is an Engineering graduate.

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