What is IoT?
IoT stands for "Internet of Things" and describes an ongoing trend of connecting all kinds of physical devices through the internet. This is made possible thanks a steady decrease in computer chip prices as well as expansion and improvements in network coverage and capacities.
IoT is rapidly gaining popularity in consumer goods such as smart watches, smart home devices but also for businesses that gain valuable insights through all kinds of data sources. These data sources can be for example machines in factories or vehicles that gather usage data and send it back to an IoT platform, making real-time monitoring and precise forecasts possible. Google Cloud has many powerful services that can help you set a platform that can collect such data and streamline it to other Google services for analytics and more.
Smarter business decisions with IoT data
The more data you have and the more recent it is, the better will your decision be. Google Cloud's dedicated IoT service "Cloud IoT Core" let's you gather device data on a global scale, store in one single global system and works seamlessly with other Google Cloud services which can help you analyze the data in real-time, such as BigQuery and visualize it in real-time with Google Data Studio.
This allows for information based decisions and quick reaction time which is a critical factor for many businesses.
Improve operational efficiency
With Google Cloud's IoT services you can continuously keep track of your devices usage data and check how efficiently they run in real-time. This allows for efficiency optimizations either by you or in an automated fashion through rules and machine learning. If you take it a step further you can also add the power of Google Maps to track your devices geographically in real-time to optimize routes and mitigate risks.
Easy integration - High returns
Google Cloud's IoT services work seamlessly with a high variety of popular operating systems such as Debian Linux OS and offer out-of-the-box support for devices from leading manufactures such as Intel and Microchip, making the initial set-up process quick and easy.
IoT use cases
IoT technology can be found across many industries reaching from smart cities, consumer goods, factory machines and more. Below you can find some common use case examples on how IoT technology can be used accelerate businesses.
IoT is globally revolutionising logistics in areas such as supply chain monitoring, vehicle tracking, inventory management, safe transportation and cargo integrity monitoring to ensure high-level goals such as just-in-time delivery, supply chain visibility and product lifecycle transparency.
The smart home market is exploding in the recent years with a rapidly increasing number of smart home devices that can be connected and used remotely. From smart refrigerators to smart cleaning bots and smart home security systems, almost everything can be connected and generates data that can be used.
Smart cities collect data from IoT devices such as lights, sensors and meters, analyze it and use these insights to improve infrastructure, thus providing a higher quality lifestyles for their residents. The appliance of IoT technology ranges from smart buildings using data from elevators to reduce waiting time to smart grids to improve resource conservation.
Smart Security Systems
Modern security systems can collect video footage from security cameras on a centralized platform to analyze it and improve security measurements. This can be combined with machine learning to carry out pattern recognizion and motion detection.
IoT is being used in the healthcare industry to monitor patients data remotely through IoT capable devices, thus maximizing the efficiency at which hospitals can operate as well as preventing health risks through early detection. Use cases range from doctors that can monitor dementia sufferers in their own home to connected insulin injectors that help manage blood sugar levels.
Manufacturing is one of the biggest industries that actively utilizes IoT technology. By gathering huge amounts of processing data from connected devices and machines such as precise voltage usage, manufacturing process can be optimized to increase productivity and cut down on costs.
Sample IoT architecture
Powerful Google Cloud services to choose from
Cloud IoT Core
Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices and in combination with other services collect, process, analyze, and visualize IoT data in real time.
Cloud Pub/Sub provides a simple and reliable staging location for your event data on its journey towards processing, storage, and analysis. You can scale without provisioning, partitioning, or load isolation worries, and expand applications and pipelines to new regions.
Dataflow enables fast, simplified streaming data pipeline development with lower data latency, allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads.
Cloud Functions allows you to run your code locally or in the cloud without having to provision servers. You can use it with Cloud IoT Core and other fully managed services to build back ends for Internet of Things (IoT) device telemetry data collection, real-time processing, and analysis.
Google Award Winning App Developer
We at Cloud Ace have a lot of experience of developing systems and applications on Google Cloud Platform and can help you with any kind development request. In fact our expertise was recognised by Google in 2018 and we won the Google Cloud Application Development Partner of the Year.
With our expertise and experience with IoT projects on Google Cloud we can offer you professional support with your projects and help you get started.
provides an IoT PaaS service for the energy sector which is built on Google Cloud Platform. By running their service on Google Cloud Platform, Kyocera is able to handle an increasingly large amount of data and effectively analyze all of it with BigQuery.
With GCP-provided services, such as Google App Engine or Big Query, you didn’t notice the infrastructure side. For this reason, as applications engineers, we felt that not having to think too much about the infrastructure made GCP very user-friendly.
Big Query boasts unparalleled price-to-performance, therefore it has become an indispensable tool that we use right across the board.
Cloud Ace’s Partner Billing Service was a real help because credit card payments made life difficult for the accounts department’s procedures and that was a stumbling block to using GCP.