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  /  Cloud   /  Upscaling Hybrid Computing With Management Tools
Hybrid Computing, Management Tools, Cloud Computing, Cloud Computing Model, Performance.

Upscaling Hybrid Computing With Management Tools

Enhanced hybrid computing increases performance and counters issues with cloud computing.

Over recent years, the reliance of businesses over Hybrid computing is prominent. As businesses are expanding, aiming to improve customer satisfaction, hybrid computing is viewed as a dependable option. A survey by Right Scale State Cloud states that 85% of enterprises created cloud strategies to support their business, while 58% of enterprises implemented Hybrid Cloud.

Nonetheless, as Hybrid computing is instituted in complex structures, they often fail to deliver the expected performance. The ultimate destination of lower priority, premises, mitigation of data, and security costs are amongst some key issues that have been observed hindering hybrid computing performance.


Understanding Hybrid Cloud Computing

hybrid cloud computing is an application that computes, and shares data, storage, information, and other services, in the public and private cloud. It scales up the computing resources, thus eliminating investment with heavy capital expenditure for handling short-term spike or while sharing sensitive data or applications. The hybrid computing employs the combination of a private cloud, through on-infrastructure resources with public cloud such as Amazon’s AWS, Microsoft Azure.

As per a report by Gartner Inc, the IaaS market grew from US$32.4 billion in 2018 to US$40.3 billion in 2019. It also forecasted the worldwide public revenue to Grow 17% in 2010.


Addressing Issues

The issues associated with Hybrid computing are not something that can’t be rectified. By applying the management tools of the organization and assessing the areas where these complexities are appearing, the issues associated with this can be rectified.

  • Handling Encrypted Traffic-  With the plethora of information getting exchanged between different cloud platforms, the inflow of encrypted traffic or data is seldom. To address this issue, the load balancers must deploy the latest encryption protocols for decrypting the traffic and data.
  • Identifying Cloud Deployment Model-  For aligning the IT and business needs to achieve the set target easily using a hybrid cloud, identifying a hybrid model is imperative. By this approach, the process of hybrid cloud computing would be more flexible, secure, automated, cost-effective, local, and speedy. Following are the cloud models that can be deployed by organizations-
  1. On-premises
  2. Hosted Private Cloud
  3. Public Cloud
  4. Combination of the above
  • Integrating a Hybrid Cloud Computing Model- Most of the companies realize the importance of cloud computing after they have utilized the cloud services. Integrating the Hybrid computing model with the existing enterprises’ system would enable faster connectivity amongst applications, maintain the overall governance framework, manage the cloud environment, as well as address the security and privacy issues.
  • Capacity Planning and cost-effectiveness- survey by the State of the Cloud, states that in 2017, cost optimization was amongst the priority list of the users for hybrid cloud. With heavy usage of the public cloud, the prices are prone to fluctuate easily. That’s why it becomes imperative for organizations to look for options that would curtail the unnecessary investment made over hardware when the alternative software can be deployed at a lesser amount.
  • Automation-   Automating a hybrid cloud would help in predicting the traffic pattern. For this, a self-service infrastructure can be built by the service team, to shift the workload. This approach would enable easier optimization of computing resources.
  • Engaging with different Cloud Providers-  Instead of using cloud services from a particular provider, the organizations must look out for options. This will enable organizations to apply the best cost-effective and performance-driven hybrid cloud computing model for improved flexibility, scalability, and agility.

As the dependence of organizations with the hybrid cloud has increased over the years, scaling up of maiden hybrid computing system would help in enhancing the already established cloud infrastructure.


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