Internet of Things (IoT)
AWS offers Internet of Things (IoT) services and solutions to connect and manage billions
of devices. Collect, store, and analyze IoT data for industrial, consumer, commercial, and
automotive workloads.
Each service is described after the diagram. To help you decide which service best meets your
needs, see Choosing an AWS IoT service. For general information, see
AWS IoT.
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AWS IoT Analytics
AWS IoT Analytics is a fully managed service that makes
it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without
having to worry about the cost and complexity typically required to build an IoT analytics
platform. It is the easiest way to run analytics on IoT data and get insights to make better and
more accurate decisions for IoT applications and machine learning use cases.
IoT data is highly unstructured which makes it difficult to analyze with traditional
analytics and business intelligence tools that are designed to process structured data. IoT data
comes from devices that often record fairly noisy processes (such as temperature, motion, or
sound). The data from these devices can frequently have significant gaps, corrupted messages, and
false readings that must be cleaned up before analysis can occur. Also, IoT data is often only
meaningful in the context of additional, third party data inputs. For example, to help farmers
determine when to water their crops, vineyard irrigation systems often enrich moisture sensor
data with rainfall data from the vineyard, allowing for more efficient water usage while
maximizing harvest yield.
AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT
devices. AWS IoT Analytics filters, transforms, and enriches IoT data before storing it in a time series data
store for analysis. You can setup the service to collect only the data you need from your
devices, apply mathematical transforms to process the data, and enrich the data with
device-specific metadata such as device type and location before storing the processed data.
Then, you can analyze your data by running ad hoc or scheduled queries using the built-in SQL
query engine, or perform more complex analytics and machine learning inference. AWS IoT Analytics makes
it easy to get started with machine learning by including pre-built models for common IoT use
cases.
You can also use your own custom analysis, packaged in a container, to run AWS IoT Analytics. AWS IoT Analytics
automates the running of your custom analyses created in Jupyter Notebook or your own tools (such
as Matlab, Octave, and so on) to be run on your schedule.
AWS IoT Analytics is a fully managed service that operationalizes analyses and scales automatically to
support up to petabytes of IoT data. With AWS IoT Analytics, you can analyze data from millions of devices
and build fast, responsive IoT applications without managing hardware or infrastructure.
The AWS IoT Button is a programmable button based
on the Amazon Dash Button hardware. This simple Wi-Fi device is easy to configure, and it’s
designed for developers to get started with AWS IoT Core, AWS Lambda, Amazon DynamoDB, Amazon SNS, and many
other Amazon Web Services without writing device-specific code.
You can code the button's logic in the cloud to configure button clicks to count or track
items, call or alert someone, start or stop something, order services, or even provide feedback.
For example, you can click the button to unlock or start a car, open your garage door, call a
cab, call your spouse or a customer service representative, track the use of common household
chores, medications or products, or remotely control your home appliances.
The button can be used as a remote control for Netflix, a switch for your Philips Hue light
bulb, a check-in/check-out device for Airbnb guests, or a way to order your favorite pizza for
delivery. You can integrate it with third-party APIs such as Twitter, Facebook, Twilio, Slack or
even your own company's applications. Connect it to things we haven’t even thought of yet.
AWS IoT Core
AWS IoT Core is a managed cloud service that lets
connected devices easily and securely interact with cloud applications and other devices.
AWS IoT Core can support billions of devices and trillions of messages, and can process and route
those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT Core,
your applications can keep track of and communicate with all your devices, all the time, even
when they aren’t connected.
AWS IoT Core makes it easy to use AWS services such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker AI,
Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, and Amazon QuickSight to build Internet of IoT applications that gather,
process, analyze and act on data generated by connected devices, without having to manage any
infrastructure.
AWS IoT Device Defender
AWS IoT Device Defender is a fully managed service that
helps you secure your fleet of IoT devices. AWS IoT Device Defender continuously audits your IoT configurations
to make sure that they aren’t deviating from security best practices. A configuration is a set of
technical controls you set to help keep information secure when devices are communicating with
each other and the cloud. AWS IoT Device Defender makes it easy to maintain and enforce IoT configurations, such
as ensuring device identity, authenticating and authorizing devices, and encrypting device data.
AWS IoT Device Defender continuously audits the IoT configurations on your devices against a set
of predefined security best practices. AWS IoT Device Defender sends an alert if there are any gaps in your IoT
configuration that might create a security risk, such as identity certificates being shared
across multiple devices or a device with a revoked identity certificate trying to connect to
AWS IoT Core.
AWS IoT Device Defender also lets you continuously monitor security metrics from devices and AWS IoT Core for
deviations from what you have defined as appropriate behavior for each device. If something
doesn’t look right, AWS IoT Device Defender sends out an alert so you can take action to remediate the issue. For
example, traffic spikes in outbound traffic might indicate that a device is participating in a
DDoS attack. AWS IoT Greengrass and FreeRTOS automatically integrate with AWS IoT Device Defender to provide
security metrics from the devices for evaluation.
AWS IoT Device Defender can send alerts to the AWS IoT Console, Amazon CloudWatch, and Amazon SNS. If you determine that
you need to take an action based on an alert, you can use AWS IoT Device Management to take
mitigating actions such as pushing security fixes.
AWS IoT Device Management
As many IoT deployments consist of hundreds of thousands to millions of devices, it is
essential to track, monitor, and manage connected device fleets. You need to ensure your IoT
devices work properly and securely after they have been deployed. You also need to secure access
to your devices, monitor health, detect and remotely troubleshoot problems, and manage software
and firmware updates.
AWS IoT Device Management makes it easy to securely
onboard, organize, monitor, and remotely manage IoT devices at scale. With AWS IoT Device Management, you can
register your connected devices individually or in bulk, and easily manage permissions so that
devices remain secure. You can also organize your devices, monitor and troubleshoot device
functionality, query the state of any IoT device in your fleet, and send firmware updates
over-the-air (OTA). AWS IoT Device Management is agnostic to device type and OS, so you can manage devices from
constrained microcontrollers to connected cars all with the same service. AWS IoT Device Management allows you
to scale your fleets and reduce the cost and effort of managing large and diverse IoT device
deployments.
AWS IoT Events
AWS IoT Events is a fully managed IoT service that makes
it easy to detect and respond to events from IoT sensors and applications. Events are patterns of
data identifying more complicated circumstances than expected, such as changes in equipment when
a belt is stuck or connected motion detectors using movement signals to activate lights and
security cameras. To detect events before AWS IoT Events, you had to build costly, custom applications to
collect data, apply decision logic to detect an event, and then start another application to
react to the event. Using AWS IoT Events, it’s simple to detect events across thousands of IoT sensors
sending different telemetry data, such as temperature from a freezer, humidity from respiratory
equipment, and belt speed on a motor, and hundreds of equipment management applications. You
simply select the relevant data sources to ingest, define the logic for each event using simple
‘if-then-else’ statements, and select the alert or custom action to run when an event occurs.
AWS IoT Events continuously monitors data from multiple IoT sensors and applications, and it integrates
with other services, such as AWS IoT Core and AWS IoT Analytics, to enable early detection and unique insights
into events. AWS IoT Events automatically initiates alerts and actions in response to events based on the
logic you define. This helps resolve issues quickly, reduce maintenance costs, and increase
operational efficiency.
AWS IoT ExpressLink
AWS IoT ExpressLink powers a
range of hardware modules developed and offered by AWS Partners, such as Espressif, Infineon,
Realtek, and u-blox. Connectivity modules available from the
AWS Partner Device Catalog include software implementing AWS mandated security
requirements, making it faster and easier for you to securely connect devices to the cloud and
seamlessly integrate with a range of AWS services. AWS IoT ExpressLink modules come
pre-provisioned with security credentials set by qualified AWS Partners. This enables you to
offload the complex work of integrating the networking and cryptography layers to the hardware
modules, and develop secure IoT products in a fraction of the time.
Devices with AWS IoT ExpressLink establish a two-way connection with AWS IoT Core through native support of the MQTT
(publish/subscribe) communication mechanism, and can create and update AWS IoT
Device Shadow documents. With AWS IoT ExpressLink, it’s easy to make over-the-air (OTA)
updates to both the module and host processor from the AWS IoT Device Management console.
You can then remotely deploy security updates, bug fixes, and new firmware updates to add
features and keep your device fleet always up to date. Moreover, partner modules with AWS IoT
ExpressLink can also connect to the AWS
IoT Device Defender to report a number of device metrics that can help detect anomalies
and generate alerts.
AWS IoT FleetWise
With AWS IoT FleetWise, you can collect and organize vehicle data and store that data in a standardized way for data analysis in the cloud.
AWS IoT FleetWise helps you efficiently transfer data to the cloud in near real time using intelligent data collection capabilities. These capabilities allow you to reduce the amount of data transferred by defining rules for when to collect and transfer data based on configurable parameters (for instance, vehicle temperature, speed, or make and model). Once the data is in the cloud, you can use it for applications that analyze vehicle fleet health. This analysis can help you to more quickly identify potential maintenance issues or make in-vehicle infotainment systems smarter. You can also feed the data into machine learning (ML) models that improve advanced technologies, such as autonomous driving and advanced driver assistance systems (ADAS).
AWS IoT Greengrass
AWS IoT Greengrass seamlessly extends AWS to devices so they
can act locally on the data they generate, while still using the cloud for management, analytics,
and durable storage. With AWS IoT Greengrass, connected devices can run AWS Lambda functions, run predictions based on machine learning models, keep device data
in sync, and communicate with other devices securely – even when not connected to the internet.
With AWS IoT Greengrass, you can use familiar languages and programming models to create and test your
device software in the cloud, and then deploy it to your devices. AWS IoT Greengrass can be programmed to filter
device data and only transmit necessary information back to the cloud. You can also connect to
third-party applications, on-premises software, and AWS services out-of-the-box with AWS IoT Greengrass
Connectors. Connectors also jumpstart device onboarding with pre-built protocol adapter
integrations and allow you to streamline authentication via integration with AWS Secrets Manager.
AWS IoT SiteWise
AWS IoT SiteWise is a managed service that
makes it easy to collect, store, organize and monitor data from industrial equipment at scale to
help you make better, data-driven decisions. You can use AWS IoT SiteWise to monitor operations across
facilities, quickly compute common industrial performance metrics, and create applications that
analyze industrial equipment data to prevent costly equipment issues and reduce gaps in
production. This allows you to collect data consistently across devices, identify issues with
remote monitoring more quickly, and improve multi-site processes with centralized data.
Today, getting performance metrics from industrial equipment is challenging because data is
often locked into proprietary on-premises data stores and typically requires specialized
expertise to retrieve and place in a format that is useful for analysis. AWS IoT SiteWise simplifies
this process by providing software running on a gateway that resides in your facilities and
automates the process of collecting and organizing industrial equipment data. This gateway
securely connects to your on-premises data servers, collects data, and sends the data to the
AWS Cloud. AWS IoT SiteWise also provides interfaces for collecting data from modern industrial
applications through MQTT messages or APIs.
You can use AWS IoT SiteWise to model your physical assets, processes and facilities, quickly
compute common industrial performance metrics, and create fully managed web applications to help
analyze industrial equipment data, reduce costs and make faster decisions. With AWS IoT SiteWise, you
can focus on understanding and optimizing your operations, rather than building costly in-house
data collection and management applications.
AWS IoT TwinMaker
AWS IoT TwinMaker makes it easier
for developers to create digital twins of real-world systems such as buildings, factories,
industrial equipment, and production lines. AWS IoT TwinMaker provides the tools you need to build
digital twins to help you optimize building operations, increase production output, and improve
equipment performance. With the ability to use existing data from multiple sources, create
virtual representations of any physical environment, and combine existing 3D models with
real-world data, you can now harness digital twins to create a holistic view of your operations
faster and with less effort.
AWS Partner Device Catalog
The AWS Partner Device Catalog helps
you find devices and hardware to help you explore, build, and go to market with your IoT
solutions. Search for and find hardware that works with AWS, including development kits and
embedded systems to build new devices, as well as off-the-shelf-devices such as gateways, edge
servers, sensors, and cameras for immediate IoT project integration. The choice of AWS enabled
hardware from our curated catalog of devices from APN partners can help make the rollout of your
IoT projects easier. All devices listed in the AWS Partner Device Catalog are also available for
purchase from our partners to get you started quickly.
FreeRTOS
FreeRTOS is an operating system for microcontrollers
that makes small, low-power edge devices easy to program, deploy, secure, connect, and manage.
FreeRTOS extends the FreeRTOS kernel, a popular open source operating system for microcontrollers,
with software libraries that make it easy to securely connect your small, low-power devices to
AWS Cloud services such as AWS IoT Core or to more
powerful edge devices running AWS IoT Greengrass.
A microcontroller (MCU) is a single chip containing a simple processor that can be found in
many devices, including appliances, sensors, fitness trackers, industrial automation, and
automobiles. Many of these small devices could benefit from connecting to the cloud or locally to
other devices. For example, smart electricity meters need to connect to the cloud to report on
usage, and building security systems need to communicate locally so that a door will unlock when
you badge in. Microcontrollers have limited compute power and memory capacity and typically
perform simple, functional tasks. Microcontrollers frequently run operating systems that do not
have built-in functionality to connect to local networks or the cloud, making IoT applications a
challenge. FreeRTOS helps solve this problem by providing both the core operating system (to run
the edge device) as well as software libraries that make it easy to securely connect to the cloud
(or other edge devices) so you can collect data from them for IoT applications and take action.
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