5 Best Practices for running IoT Solutions on AWS

All the technical brains in the field of IT know the abilities, reliabilities, and capabilities of Amazon Web Services Cloud. Taking your Internet of Things (IoT) solutions on to AWS platform will let you focus on your core business without worrying about the hosting and performance issues of your solutions. You will be sure of the high availability always to your customer. It’s a renowned fact that AWS cloud has one of the world’s best Disaster Management Services in placed with assured business continuity always.

No matter of how innovative piece of code you may be writing addressing most unique problem areas like asset management, predictive analytics, yield optimization soon, the final value addition depends on your ability to deliver the system specific needs of your customer in their own production environment. When you need a choice of best platform you can rely on you need to trust the Austere expertise of having worked on AWS to keep your solutions stable.

Based on our exposure with some recent IoT projects we understand that if you leverage AWS with the right logic, you IoT solutions will result “Just do your work on it” without worrying on its scalability or any other technical issue. Some of the best practices we observed are being listed here when it comes to bringing you IoT solution on to AWS platform. We have the expertise to help you achieve it.

Best Practices:

Be Ready for a Data Storm:

It’s moving to crash ultimately, and whether the flood of incoming information or data comes from an unexpected surge in the enterprise, regular yearly develop, or even a wicked strike, your system should be preserved to manage it right from the beginning. Auspiciously, there are many ways to build your network that support AWS elements to assure all of your data is continuously performed. By understanding and utilizing perfect AWS IoT architecture upfront, you free your unit to concentrate on building application intelligence (where the value is produced from the data) and can turn ahead assuredly with your market approach no matter how difficult it is.

Fish out the weakest link fast:

Amazon Web service IoT Rules enable you to activate several actions upon receipt of a message. While all Amazon Web Services AWS services accommodate to various data flow resources, not all services are created to be used as the one point of admission inside the system. Some have responses that could check all your data from existing processed as wanted.

Bring IoT data into queue ASAP

The perfect method to secure all incoming data is function accurately is to operate straight from AWS IoT into a simple Notification Service (SNS) queue which supports AWS fan out your data for processing and secures the whole flood is undoubtedly obtained every time. Many services can support the SNS topic, including Amazon Simple Queue Service (SQS) and Lambda, which can be known to begin processing of the queue. By making your data somewhere ‘safe’ before processing – such as a queue, Amazon Kinesis, Amazon S3, and Amazon Redshift – you will not drop any information due to errors that may happen slower because of the code or deployment issues.


While we’ve explained how your problem can be architected to leverage the scaling power of Amazon Web Service, sometimes you don’t require to proceed all your machine data in the cloud.

There Is One another method to reduce traffic in the cloud is to operate AWS Greengrass at the end. Greengrass can efficiently process and separate data locally, reducing the necessity to send all device data upstream. You may not want to send 100% of your data all the time. You can take it all, and endure for a short time, submitting to the cloud only when requested or upon specific error states. In another hand, you can choose to send a periodic sample or percentage of device data for use by AWS Machine Learning models and another cloud analytics tools that have been activated to remove the most value out of even the smallest volumes of data.

Choose what you need:

Just because you are developing an IoT system doesn’t intend all your multiple kinds of data have to transform through AWS IoT. AWS IoT enables both MQTT and WebSockets, and there are appropriate customizations for each specific service based on suggested usage cases. If you ever capture yourself bumping up against AWS IoT service limits, there’s a great opportunity you’re just not utilizing the correct service for the task.

The practices outlines are based on our experience of working with IoT solutions and bringing them on to the cloud. For more information, please reach visit, www.austeretech.com