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Leveraging Serverless Computing in IoT for Business Growth

Serverless computing in the Internet of Things (IoT) is transforming the way IoT solutions are approached and implemented. It allows developers to build applications on the cloud without interacting with virtual servers, on-premises servers, or containers. Conventional servers are usually active as they wait for requests to flow in. In contrast, servers in a serverless environment are inactive and remain in idle and low-power mode until the request comes in and revert to standby mode once the request is fulfilled.

Serverless computing enables the collection and integration of data by multiple IoT sensors and devices. It enables the system engineers to add decentralization layers, and only the heavy functions are delegated to the cloud, thus creating efficient and inexpensive systems. The serverless computing model has been instrumental in increasing IoT implementation. The increasing availability of premium and low-cost IoT platforms has also ensured that businesses take advantage of such transformative and innovative technologies.

In this article, I will explore how serverless computing in IoT can benefit businesses.

Benefits Of Serverless Computing In IoT

  • Scalability on demand: IoT sensors and devices receive and send a continuous flow of data that can actively increase or decrease and require computing resources that can scale dynamically as needed. Serverless computing has emerged as a game changer for IoT by addressing the need for scalable and dynamic infrastructure that adapts to fluctuating workloads and data volumes in real-time Serverless architecture allows computing resources such as memory, CPU, and storage to be allocated dynamically based on workload demands. Serverless platforms can seamlessly provision additional resources when IoT applications face an increase in data inflow or require additional processing power. Serverless computing is event-driven allowing it to align with IoT application data that arrives as events from various devices and sensors.
  • Resource management: Cost efficiency in resource management is critical for startups and even established businesses, and can be a big factor behind the success or failure of any project. Cloud providers offer serverless computing and that plays a big role in effectively managing costs as organizations do not have to physically invest, manage, or maintain the servers, and infrastructure, or take on any associated costs. Developers can optimize costs by using serverless frameworks, which are open-source toolkits that simplify the employment of serverless applications across multiple cloud providers. This can provide additional visibility in resource utilization and help track associated costs.
  • Faster deployment: The Internet of Things and its applications are evolving rapidly, with an increasing need for faster development and deployment. Businesses have to develop and deploy innovative IoT solutions faster to the market to stay competitive and meet the evolving customer demands. Serverless computing can help achieve these goals by enabling projects to move from the ideation stage to execution and deployment faster with more efficiency. Serverless computing can accelerate the rate of development and deployment as developers do not have to focus on infrastructure management and can focus on IoT application development.
  • Enhanced security: Security is a critical component in any application and is of concern in IoT applications because of the multiplication of connected devices and the vulnerabilities they are exposed to. Serverless computing offers robust security features that can strengthen and protect the IoT infrastructure. In conventional server-based setups, compromising the security of any part of the system can also potentially create a security breach in the entire network. Serverless computing offers an inherent isolation between functions and is crucial in ensuring security in IoT applications. In a serverless environment, the functions are executed in isolated containers, and this helps ensure that if any function is compromised, it does not create a domino effect and pose a security risk to other functions or the IoT network itself. Serverless platforms offer automatic updates, which is a critical aspect of using serverless commuting in IoT. It allows updates to be installed automatically throughout the environment without human intervention.
  • Easier pivoting: Serverless computing increases pivoting efficiency by promoting product flexibility, allowing only the required parts of the software product to be revised without changing the complete system. The flexibility of serverless computing also helps in the creation of microservices. These microservices can be updated independently making it easier to pivot and adapt as needed. Implementing IoT in serverless computing also helps in cross-platform portability and allows IoT applications to be moved to multiple platforms to capture newer markets.

Final Words

Serverless computing is a transformative technology that is changing the IoT landscape. By understanding how serverless computing works, businesses can leverage its capabilities to enhance IoT capabilities. Serverless computing’s efficient resource handling, dynamic scalability, and cost-effective working enable businesses to handle varying workloads easily. This allows them to deploy IoT applications faster to stay competitive. Integration of serverless computing with IoT allows businesses to optimize their resources, reduce costs, and gain many other significant benefits.

Written By

A professional and security-oriented programmer having more than 6 years of experience in designing, implementing, testing and supporting mobile apps developed. Being techno geek, I love to read & share about the latest updates in technology including but not limited to IoTs, AI, application development, etc. In my free time, I like to play football, watch movies and explore new places. I have been learning mobile app development since 2012. With having a good understanding of programming languages, I develop native as well as web apps for both iOS & Android using latest tools & technologies. I am also having experience in both front-end & back-end development.

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