It’s common knowledge that the ‘cloud computing’ concept was first introduced more than twenty years ago. Since then, there has been an admirable spurt in its growth, and we can safely say that things are looking quite bright for it this year. Giants such as Microsoft, Google, IBM, and Amazon were the pioneers of cloud computing in the mid-2000s. To date, cloud computing continues to meet the needs of adopters. Below are some points that will help us take a sneak peek into the future of cloud computing:
Edge computing is on the rise
As the Internet of Things (IoT) keeps rising, more and more companies are looking to utilize edge computing. Let’s explain the process a bit: Edge computing is the data processing that works to alleviate strain on the central data center (since it occurs as close as possible to where the data is being processed). It does this by improving the efficiency and processing speed of the laptop/mobile (or other devices). More and more companies are seeking certification on cloud computing.
So, how is it an improvement on traditional cloud computing? In the traditional method, the data would be traveling from the device to the online data center (and vice versa). By combining cloud computing with edge, businesses will be able to make good use of the cloud for less time-sensitive tasks. It would do this while ensuring that more urgent data is able to be processed quickly.
Combining 5G with the cloud will empower industries with low latency in real-time, e.g., helping the health sector in carrying out remote surgeries, assisting manufacturers with implementing automatic production lines, and also helping the transport sector in deploying auto vehicles. This will achieve more bandwidth, help reduce latency, and increase efficiency in their applications. This trend shows the decentralization that is going on in the cloud computing space, where edge and cloud are being combined to carry out faster data processing at the local level.
AI and cloud computing evolve together
Artificial intelligence is driving a huge revolution in the world of technology and communication. As the AI market continues to grow, cloud computing is also combining with it. As we know, artificial intelligence for business heavily relies on big data processing to improve its services through machine learning. Therefore, most types of hardware lack the capability to run AI applications efficiently. Therefore, cloud computing is necessary for the growth of AI for business.
This means pervasive AI will be embedded in every step of the cloud system. AI algorithms will improve predictive analysis, preventing problems that might arise with the control workload and infrastructure and cutting down on the automation of tedious tasks. This will completely transform the way operations are managed and vastly increase the systems’ efficiency.
Industry-based clouds
Most cloud providers come with industry-specific applications (known as industry cloud) to help facilitate the migration of legacy and on-premises systems to the cloud. It also tailors its use to the specific verticals. The heavily regulated industries, such as health and finance, were the early adopters of industry clouds. However, it is now gaining traction across all sectors.
Quantum computing integration
One of the biggest features of cloud computing is its integration with quantum computing. The upcoming changes to be introduced in cloud computing will change how data processing is done since it can handle complicated computations that other conventional systems cannot solve. Companies such as Microsoft, IBM, and Google already provide quantum services, such as IBM’s Quantum Experience. A combination of data science and machine learning is going to pave the way for the future.
In the next few years, more cloud services will offer quantum computing abilities, which will assist in fields such as drug development, cryptography, and material science.
Multi-cloud strategies and interoperability
Future developments in the cloud computing field will also enhance the multi-cloud strategies that will involve using more than one cloud service provider between the business and the cloud.
Improving and increasing sustainability
What is meant by sustainability? It is the process by which ‘green cloud’ initiatives are used. The world is already grappling with global warming. As environmental issues get more severe, the sustainability of infrastructure through the use of the cloud will become a major trend in 2025. All the major cloud service providers are now pledging to cut global emissions. For this, they are getting help from green data centers, which assist in the use of renewable energy and non-fossil fuel, such as solar installations and wind-powered appliances. A few major players, such as Microsoft, have vowed to reduce carbon negativity by 2030. On the other hand, Google claims to use only renewable energy sources in their data centers.
Cloud providers will use energy-efficient cooling methods with assistance from AI’s inefficient use of resources. What’s more, firms will look for cloud service providers with sustainable solutions, including carbon neutrality.
Enhanced cloud security
As the days go by, more and more businesses are shifting crucial processes to the cloud. This has given rise to security concerns, and justifiably so. Multi-cloud and hybrid-cloud solutions will be challenging to manage efficiently, thus posing a threat to data breaches and cyber-attacks. This means that in 2025, new security measures are going to be implemented.
The zero-trust model assumes that no individual user or device in an organization’s network can share a common cloud security model. Companies will also add homomorphic encryption (which does not require data decryption), through which the computations will be done. This system will further be adopted to help secure data even in intricate cloud applications. Another possible application of AI can be in real-time security threat detection, which will help improve the response time when dealing with potential threats.
Architectures that are cloud-native and serverless
More and more companies are set to adopt cloud-native architectural principles this year. They will do this by using Kubernetes and containers to build a sizable amount of reliable applications. Cloud-native development enables organizations to realize all the benefits of cloud computing, such as manageability, deployment speed, and the ability to move smoothly across environments.
Also, the use of serverless functionality can be on the rise. This is a system whereby developers would be able to execute codes without having to worry about servers. AWS Lambda and Azure Functions will be gaining more popularity since they will help simplify various processes and avoid any kind of infrastructural complexity. Many experts have predicted that serverless technology will become even more advanced. When that happens, many more complex applications would be deployed to run on a serverless environment, lowering the operational costs for companies.
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