IoT is revolutionizing consumer markets, large-scale manufacturing and industrial applications at an incredible pace. In a recent report, Gartner estimates that connected IoT devices will reach 14.2 billion this year and grow to 25 billion by 2021. In virtually every industry, these technologies are becoming synonymous with a competitive advantage and winning corporate strategies.
We’re witnessing the same trend with our own clients, as companies ranging from startups to enterprise organizations integrate IoT solutions with their offerings and deploy edge devices to improve customer experience, reduce costs, and expand markets.
Installing these smart devices and collecting data is relatively easy. However, processing, storing, analyzing, and protecting massive volumes of that data is where (Internet of) Things gets complicated.
As an AWS Advanced Consulting Partner, our certified and trained tech consultants educate clients on how to leverage Amazon Web Services (AWS) innovation for their IoT solutions. This includes building performant, cost-effective cloud architecture based on the 5 Pillars of the Well-Architected Framework that scale quickly and securely process real-time streaming data. Most importantly, we apply AI and machine learning to provide clients with meaningful analytics that drive informed business decisions.
Two of the most common AWS services we deploy for IoT projects are AWS Lambda and DynamoDB.
AWS Lambda: Serverless computing for continuous scaling
A fully-managed platform, AWS Lambda runs code for your applications or backend services without requiring any server management or administration. It also scales automatically to workloads with a flexible consumption model where you pay for only the computing resources you consume. While Lambda is an excellent environment for any kind of rapid, scalable development, it’s ideal for startups and growing companies who need to conserve resources while scaling to meet demand.
We recently deployed AWS Lambda for a project with Oregon-based startup Wingo IoT. With an expanding pipeline of industrial customers and limited resources, Wingo needed a cost-efficient, flexible architecture for instant monitoring and powerful analytics. We used Lambda to build a custom NOC dashboard with a comprehensive view of real-time operations.
DynamoDB: Fast access with built-in security
We use DynamoDB with AWS Services such as Amazon Kinesis and AWS Lambda to build key-value and document databases with unlimited capacity. Offering low latency and high performance at scale, DynamoDB can support over 10 trillion requests a day with secure backup and restore capabilities.
When Five Talent client Dialsmith needed a transactional database to handle the thousands of records per second created by its video survey tool, we used DynamoDB to solve its capacity constraints. The service also provided critical backup and restore capabilities for protecting its sensitive data.
In our experience, AWS IoT solutions both anchor and accelerate the potential of edge computing. Services such as AWS Lambda and Amazon DynamoDB can have a lasting, positive impact on your ability to scale profitability. Before you deploy IoT technologies or expand your fleet of devices, we recommend a thorough evaluation of the cloud-based tools and services available to support your growth