Gone are the days when we talked about IoT as the next big thing. It has quickly spread to almost every industry and the industries too have embraced it. IoT has provided a solution to long-standing industry-specific challenges. Industries can now quickly develop IoT solutions that connect things, collect data, and derive knowledge. This directly leads to reduced costs, productivity increase and increased revenue. Almost all industries have been utilizing IoT and this has changed the customer experience extensively. Industries like Automotive, Energy, Healthcare, Retail, Smart Homes, Smart Transportation and many more are now IoT friendly. As an example, in the automotive industry, the cars are tied to IoT, and this has turned data into actionable insights. The data comes from both inside the cars as well as from the outside world. Collaborating with fields like AI, Data analytics and cloud, autonomous driving has turned drivers into passengers, thus opening a huge opportunity for new goods and services. Similarly, in the Power sector, power grids have countless devices that share information real time for better distribution of energy. IoT has changed the healthcare system by introducing clinical wearables and first responder tablets. Underneath every of such sophisticated systems, there lies a complex system of interconnected things and sensors producing data continuously. To ensure that the results derived from those data are accurate, the testing of IoT systems becomes very crucial. Since IoT can make a difference between life and deaths, like driverless cars or healthcare, the testing has never become so challenging. IoT produces Variety of data and in huge volumes, and the first biggest challenge lies here. Enterprises find it quite challenging owing to these factors. Add to these external factors like heterogeneous environments and complexity in the working of a number of components and testing becomes more difficult. Due to large-scale IoT systems and connected devices, enterprises also find it difficult to develop, deploy, integrate and scale applications. They use Microservices and containerization to enable efficient and faster development by breaking down IoT functionalities into small, modular and independent units that work in isolation without affecting the overall performance of the IoT ecosystem. These independent units are the targets for testers to ensure they work as intended. Other Issues before testers 1. Testing across various cloud platforms - it may be possible that each device can be on a different platform and to replicate a real-time environment for testing is very challenging. Testing new version upgrades becomes more challenging as well, along with the software and firmware updates. It is critical to test across all the IoT platforms to make sure that all the components in the value chain are working efficiently. 2. IoT data protocols testing – IoT systems work with various protocols to establish connections. Multiple components in an IoT system may use different protocols to communicate with each other. In such a scenario, they have to be tested across various protocols and modules to ensure that the devices work seamlessly. 3. Security threats 4. No Standardization - Most of the current testing that is conducted, is done based on the use case or the intended use of the system. There is a lack of standard testing procedures at all levels. 5. Dynamic environments Solutions: As a solution, I will explain how we tackled IoT testing issues by carrying out the following tests: 1. Edge Testing: Edge testing is very crucial for IoT application. The network connecting these devices may fail in its bandwidth strengths or other capabilities. This may fail the applications that constantly require scaling up in terms of data volume. 2. Protocol and device interoperability testing – tests performed across different standards and specifications 3. Security and privacy testing – will touchbase on data security, encryption and decryption testing 4. Network Impact – Testing Real IoT application in real network, with factors like Network size, topology and env. Conditions 5. Performance testing – load testing and 4V testing 6. End User application testing – Usability and user experience Each of these will be explained with examples.