IoT might be a new concept for quite a few organizations. But it’s not a recent update for most companies today. Living and operating in this competitive, globalized, and digitized environment means being prone to inventions and incorporating innovations to set yourself apart. Therefore, it’s not shocking news that IoT and AWS solutions are taking the world by storm with their increasing fame. Preparing use cases with substantial payoffs is now a task most companies excel at.
Admittedly, use cases can be trickier, depending on the nature of the business, the kind of clients/ target audience, and the platforms you offer. For instance, a use case for traffic control most certainly varies from telemedicine or smart manufacturing in terms of several elements and data.
If you want to adopt the best practices for IoT to improve your processes, this blog is the perfect place to get started. Continue reading to discover the fundamentals of AWS solutions and IoT best practices. Let’s begin!
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Drone Flights In Dangerous Zones
This IoT practice works exceptionally for businesses specializing in construction, mining, military missions, rescue operations, and wildlife control. These organizations need solid and fool-proof strategies to mitigate the requirement of humans entering dangerous spaces.
That’s precisely why they can benefit from the done flights use case because it offers real-time video streams that run without a hitch. You can live stream landscapes and even click and save pictures of the zones you’re interested in surveying or observing in detail. The drones are effective, easy to use and maneuver, and the best part: they keep personnel safe and save your time- and even money.
They’re practical for when human involvement isn’t possible- or safe-help improve surveillance, and are perfect for versatile use – from military operations to finding survivors.
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Managing Fleets
Fleet management is a crucial task that was once tedious and faced high hazard risks. In addition, fleet supervisors had insufficient information on the weather conditions, road situations, and data on every truck at a particular time.
Luckily, the world exhaled a huge sigh of relief with the Fleet management use case creation in 2019. It demands supply chain and logistics-related businesses to install their vehicles with ELD technology. This feature allows automation to record drivers’ road time and update organizations with every truck’s engine performance and driving details.
That’s vital for fleet supervisors and handy for companies training their drivers on fuel effectiveness, mitigating hazards, and efficiently combating climatic situations. The IoT use case is even advantageous because of the evident reduction in environmental consequences.
Public Transportation In Smart Cities
Smart cities are viewed as charming ecological and modern developments. However, maintaining smart public transportation in these smart cities wasn’t an easy task. Though innovation helped, contemporary cities now place IoT sensors on all public trams, allowing the municipal to track every tram track. The sensors also assist in observing and assessing tram engines to ensure optimal operations.
There’s a reason smart city public transportation is one of the best practices in IoT. It also includes a review and estimation of the useful life of every tram engine to avoid unexpected and untimely mishaps and delays. Signaling timely repairs helps companies reduce their replacement costs, enabling them to utilize their personnel’s time somewhere more productive.
Quick maintenance, cost and time-effectiveness, and increasing dependency on public transportation- even in developed nations- are vital drivers of this use case.
Scalable AWS Solutions For IoT Use Cases
You may start small, but when there’s a sudden surge in data and your operations expand, that’s when you need your IoT use cases to accommodate your expanding requirements. Therefore, you must incorporate an IoT architecture that allows excellent scalability to manage your processes, system, and cloud infrastructure.
Some of the notable AWS solutions include:
Choosing The Correct Ingest
It’s not mandatory for businesses employing IoT systems to manage their data through AWS IoT Core. And if you face troubles in handling AWS IoT services, that’s a red flag because there are high chances that you’re using the incorrect service for your tasks.
Because AWS IoT supports WebSockets and MQTT, you can use either. Furthermore, don’t hesitate to switch your tools depending on the tasks. For example, MQTT is ideal for smaller payoffs, while WebSockets is more effective when dealing with extensive data transmission using numerous devices.
Focusing On Critical Links
Ingesting data in a time-effective and secure way is a critical task- one every company needs to ensure. That’s the key to establishing and using your IoT use cases without a hitch. AWS IoT Rules enable you to employ a range of actions using a message receipt.
However, you must know that not all services allow a single entry point in your systems. Ideally, buffering your data through the Amazon Simple Queue Service significantly helps in avoiding data loss and streamlining the procedure.
Avoid Overloading Data Lakes
Apart from data ingestion, you must also consider other elements when employing the best practices in IoT use cases- especially when dealing with data accumulation through several IoT devices. Working with AWS solutions means hosting data lakes in S3 and using AWS Redshift. But that can cause you to miss valuable insights. The trick is to implement metadata consistently using tools like AWS Glue, adaptable with AWS Redshift, AWS Athena, and AWS EMR.
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Final Thoughts to AWS Solutions and IoT Best Practices
IoT use cases are efficient and beneficial for companies- and following the best practices for IoT is the secret ingredient to reaching better heights. IoT enables companies to improve their cost management, though it’s essential to make sure your use cases are highly scalable. There are several tricks for improving your IoT architecture’s scalability. The most noteworthy ones include validating the data’s critical entry points, optimizing ingestion, and dealing with data lakes.
Now that we’ve offered you the basics, now is your turn to choose the IoT framework that suits your industry’s nature. Outlining your implementation strategies and establishing new or improving the existing IoT architecture can be daunting. But don’t hesitate to reach out to cloud professionals to notch up your AWS solutions. Contact us for AWS Solutions and IoT Best Practices.
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