Why Does Your Mobile App Need IoT Cloud?
Data is now more valuable than anything else for any startup or company. Data helps artificial intelligence (AI) solutions become smarter and more user-friendly.
With mobile apps becoming more AI-driven, the cloud offers immense benefits for app startups. Cloud makes it possible to collect, store, and process user data to offer contextual recommendations powered by AI.
Here’s how cloud IoT can improve your mobile apps:
Unlimited scalability potential
Cloud-based solutions are easier to scale compared to legacy systems. For a mobile app, keeping up with increasing user data every day can get hard. You’d need more infrastructure: servers and hardware whenever you cross your thresholds.
When user data is handled by a cloud-based solution, it just takes less time to set up a virtual server or add more cloud space. Your solution can scale quickly, vertically or horizontally based on data usage.
Scalability on the cloud means the big data processing possibilities are endless. You can enjoy faster analytics without hassle or added costs. Modern cloud services like Amazon AWS provide amazing scalability based on usage and storage limits.
Responsiveness and easy access
Data stored on the cloud can be remotely accessed from anywhere in the world. This facilitates real-time data analysis and faster response times.
When it comes to smart responses and intelligent recommendations, fast is always better. The cloud speeds up analytical capabilities, making connected apps faster at decision making. Apps become more tactile, responsive, and reliable thanks to cloud integration.
Also, connected IoT devices can be effectively tracked round the clock. You can update sensor firmware and process captured data in real-time without being present at a particular location.
Shorter time-to-market (TTM)
Oracle reveals that using cloud-based architecture can speed up app development by up to 50%.
In a world of MVPs, time is a valuable commodity. Cloud IoT is faster to deploy and manage than an on-premise solution.
While on-premise systems can be customized, it takes a lot of time for development and deployment. When you deploy a cloud-based solution, you needn’t worry about building analytical capabilities.
Cloud computing can handle data capturing and storage to security and analysis out-of-the-box. If you need to deploy a solution quickly without compromising on reliability, the IoT cloud is a great way to make it happen.
Maintaining a secure IoT ecosystem can be really hard for app-based startups. 40% of cybersecurity professionals agree that the public cloud is more secure than on-premise solutions.
AppSec measures also became simpler to implement on the cloud. Cloud security posture management (CPSM) solutions can automate the discovery of vulnerabilities.
Zscaler CSPM is a powerful CPSM tool that protects data by managing misconfigurations to reduce security risks.
Cloud reduces upfront investment when it comes to building and deploying a large-scale IoT solution. Also, the cost of data processing is reduced thanks to the flexible structures of modern clouds.
Managing an on-premise server to support a large volume of data is a lot of work. It requires a dedicated team. Even though, when there’s an on-site emergency and the infrastructure fails, the entire system can suffer significant downtime.
When it comes to IoT apps, using the cloud is the logical and cost-efficient strategy for early-stage startups.