Cloud computing currently has a positive outlook in the global market, but some of its shortcomings could make it redundant in the future.
The emergence of cloud computing has caused a sudden change from the traditional ways that businesses think about computing resources. This change has led to a rapid increase in the number of organizations adopting cloud computing. Currently, the global cloud computing market is expected to grow from $480 billion in 2022 to $1.7 trillion by 2029, at a CAGR of 19.9% during the forecast period.
However, despite this positive global market outlook, cloud computing has not been enough to handle the new changes prevailing in the technology industry. For example, new technology trends such as the Internet of Things, Industry 4.0, and the growing application of artificial intelligence and machine learning in smart devices and smart homes have continued to make cloud computing more redundant in many areas, exposing some of its shortcomings.
What is cloud computing?
Cloud computing is a computing model in which computing resources such as databases, servers, storage, software, networks, information and analytics are delivered over the Internet. It is the type of computing where companies do not need to own their data center or IT infrastructure to access or operate these computing resources.
SEE: Recruitment Kit: Cloud Engineer (TechRepublic Premium)
Although this form of computing offers companies the flexibility to deploy resources according to their business objectives, cloud computing has inherent problems. If you are planning to migrate to the cloud in the near future, learn some of these disadvantages of cloud computing before you take such a step.
Disadvantages of cloud computing
The nature of cloud computing makes it vulnerable to server downtime. During downtime, clients are forced to wait for the connection to be restored before they can access the service. Depending on the duration of the downtime, this situation can cause critical damage to businesses.
For example, businesses have experienced data outages, lost customers and lost revenue due to downtime. A 2020 Statista survey found that 25% of respondents across the world said average hourly downtime cost their business between $301,000 and $400,000. When you multiply that number by the number of times that download happens in a year, you’ll see why downtown is a critical issue with cloud computing.
A case of how downtime can affect cloud-focused businesses was the outage of all Google services in 2020 that lasted over an hour, leaving millions of businesses down for the duration of the outage.
Limited flexibility and control
Cloud computing is executed in a way that leaves business owners unable to manage and monitor the entire cloud infrastructure. This situation often leaves businesses with little or no control over their data. Additionally, depending on the cloud service provider’s management policies and end user license agreement, customers may also have limitations on how they can manage their deployments.
In most cases, when such policies are in effect, customers will have limited access to the tools, applications, and data they can deploy on the cloud provider’s server.
Vendor compatibility issues
Transitioning from one cloud provider to another in a competitive cloud computing environment has been a major blight of cloud computing. Although subscribing to one cloud provider assures companies of seamless migration to other cloud service providers, experiences have shown that this is not always the case.
There are compatibility issues as some apps working fine on one cloud platform may not be compatible with another provider. This risk makes many people fearful of migrating their resources to other cloud providers.
Security and Threats
Although most cloud providers apply multiple security measures to keep hackers away from their cloud infrastructure, the incidence of data breaches indicates that cloud computing is still vulnerable to attack. This makes storing business-critical files and crucial data in virtual data centers a potential risk.
For example, Microsoft revealed in 2021 that due to a major flaw in its flagship Azure Cosmos DB database, customer information may have been exposed to hackers, giving hackers access to read, modify or delete data saved in the cloud. Additionally, results from a Fugue survey suggest that approximately three out of four teams working in a cloud environment experience a dozen incidents of potential hacking due to misconfigured cloud systems.
While these threats do not render cloud computing completely insecure, they only show a greater chance of successful attacks or data breaches when there is human error in cloud setup and issues with cloud configurations. terminals.
Cloud latency describes the time it takes for a cloud service provider to respond to a customer’s request. Cloud service latency is a serious issue in cloud computing, especially now that the world is experiencing exponential growth in data generation and connected devices.
With more data being generated from these devices, there is potential growth in the impact of cloud service latency. The time taken for data to travel to cloud hosting centers for computing processes and back to the client side affects cloud computing. This is why modern IoT devices and smart industries are adopting edge computing as their computing model.
It’s not economical
Due to the high volume of data and files stored in the cloud, users need a large amount of bandwidth to access this data constantly.
Although many cloud service providers have reshaped their payment to reflect the pay-as-you-go model, maintaining a connection to cloud services is still expensive. Therefore, maintaining this level of bandwidth for continuous access to cloud resources can be capital intensive, and few startups can afford it.