How distributed cloud is revolutionizing the industry
The application of cloud in managing databases and applications has become the norm in most fields. Companies are now switching to distributed computing to manage data more intelligently and make data transfers as seamless as possible. According to Gartner, most could vendors will offer distributed cloud computing services as an IaaS by 2024.
Let’s see what is distributed cloud and the benefits and possibilities of distributed cloud computing.
What is a Distributed Cloud?
The distributed cloud consists of a public cloud infrastructure that follows a distributed approach for storing and processing data. So a company’s data can be stored and processed across multiple data centers.
In the case of a microservice app, each functionality of the app works separately to perform the necessary API calls based on the user’s request. So only the necessary sections of the cloud storage are accessed at a time. As distributed cloud clusters are usually located closer to the request location, users receive the response almost immediately.
Advantages of distributed computing
As distributed cloud computing provides a highly secure and accessible environment, it can be quite beneficial to businesses.
- Swift data transfer: The time taken for data transfer usually depends on the amount of computing power needed for receiving, processing and responding to the user request. Earlier, this was a limitation in public clouds as the servers were located quite far from the users. Distributed cloud infrastructure fixes this issue by having data centers closer to the users.
- Cost-effective: As data centers are closer, less computational power is required to respond to requests. This then reduces the costs for the cloud service.
- Transparency: Distributed clouds allow customers to manage various environments from a single dashboard. Companies also have to partner with a single distributed cloud computing vendor instead of separate ones for separate APIs.
- Better data protection: Even though distributed cloud environments are owned by a single vendor, data backup and recovery features ensure that your data remains secure even if the cloud server fails.
Distributed cloud for cloud computing
A prominent advantage of distributed cloud is its ability to process large amounts of data, due to its proximity to the request location. In a way, the cloud is coming to you! This offers better bandwidth, to deal with the processing and transfer of large amounts of data.
Around the world, Internet users generate and upload 24,000 gigabytes of data in each second. Edge computing, which is the capability of distributed cloud to be available closer to the user, can efficiently be able to take on such high volumes of data. This is why edge computing is termed the future of cloud computing. In fact, the market size for edge computing is said to reach $10.9 billion by 2024.
Use cases of distributed cloud
As the number of cloud-enabled services grows, the need for distributed cloud becomes more and more essential. Here are some places where companies can leverage the power of edge computing:
- Automotive industry: Distributed cloud computing can be a huge boon to the self-drive and semi-autonomous vehicle industry. The vehicles can capture and process data in real-time to make quicker decisions. In fact, Tesla has a lot of projects that use edge computing and distributed cloud storage.
- Healthcare: Healthcare providers can use hybrid cloud and edge computing capabilities to monitor patient data. IoT-based apps and devices that monitor patient symptoms and critical data can be used to fetch and send data. Kwido is a company that caters to monitoring elderly patients in the comforts of their homes. Their sensors identify behavioral changes to recognize anomalies that are instantly reported to the assigned supervisor.
- Content delivery: Content and streaming platforms like Netflix and YouTube receive large amounts of requests every day. The microservices are designed to use edge computing for high-speed data transfers and computing AI-based recommendations.
- Surveillance: Smart surveillance cameras use upto 400 gigabytes of data each month. The data has to be instantly processed and analyzed to ensure citizens’ safety. This can be accomplished with edge computing and distributed cloud.
Conclusion
Distributed cloud enhances the benefits of cloud computing with more efficient data management and transfer. Companies and businesses can now process data and make decisions quicker by adopting distributed cloud and edge computing. At Infopulse, we can guide you in migrating to a distributed cloud. Contact us now to unleash the powers of distributed cloud.
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