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
like AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB,
Amazon CloudWatch, AWS CloudTrail, and Amazon QuickSight to build Internet of
Things (IoT) applications that gather, process, analyze and act on data
generated by connected devices, without having to manage any infrastructure.
FreeRTOS (a: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 like 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.
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, execute 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
AWS IoT 1-Click
AWS IoT 1-Click is a service that enables
simple devices to trigger AWS Lambda functions that can execute an action. AWS
IoT 1-Click supported devices enable you to easily perform actions such as
notifying technical support, tracking assets, and replenishing goods or
services. AWS IoT 1-Click supported devices are ready for use right out of the
box and eliminate the need for writing your own firmware or configuring them
for secure connectivity. AWS IoT 1-Click supported devices can be easily
managed. You can easily create device groups and associate them with a Lambda
function that executes your desired action when triggered. You can also track
device health and activity with the pre-built reports.
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 execute on AWS IoT Analytics. AWS IoT Analytics
automates the execution of your custom analyses created in Jupyter Notebook or
your own tools (such as Matlab, Octave, etc.) to be executed 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.
AWS IoT Button
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
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 like Twitter, Facebook, Twilio, Slack or
even your own company's applications. Connect it to things we haven’t even
thought of yet.
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 trigger 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 trigger 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 triggers 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 SiteWise
AWS IoT SiteWise is a managed service that
makes it easy to collect and organize data from industrial equipment at scale.
You can easily monitor equipment across your industrial facilities to identify
waste, such as breakdown of equipment and processes, production inefficiencies,
and defects in products. Today, getting performance metrics from industrial
equipment is tough because data is often locked into proprietary on-premises
data stores and typically requires specialized expertise to retrieve it and put
it in a format that is useful for searching and analysis. 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. You can run
the IoT SiteWise software on an AWS Snowball Edge gateway or install the IoT
SiteWise software on popular third-party industrial gateways. These gateways
are specifically designed for industrial environments that are likely already
in your facilities connecting your industrial equipment.
You can use IoT SiteWise to monitor operations
across facilities, quickly compute common industrial performance metrics, and
build applications to analyze industrial equipment data, prevent costly
equipment issues, and reduce production inefficiencies. With IoT SiteWise, you
can focus on understanding and optimizing your operations, rather than building
costly in-house data collection and management applications.
AWS IoT Things Graph
AWS IoT Things Graph is a service that makes
it easy to visually connect different devices and web services to build IoT
IoT applications are being built today using a
variety of devices and web services to automate tasks for a wide range of use
cases, such as smart homes, industrial automation, and energy management.
Because there aren't any widely adopted standards, it's difficult today for
developers to get devices from multiple manufacturers to connect to each other
as well as with web services. This forces developers to write lots of code to
wire together all of the devices and web services they need for their IoT application.
AWS IoT Things Graph provides a visual drag-and-drop interface for connecting
and coordinating devices and web services, so you can build IoT applications
quickly. For example, in a commercial agriculture application, you can define
interactions between humidity, temperature, and sprinkler sensors with weather
data services in the cloud to automate watering. You represent devices and
services using pre-built reusable components, called models, that hide
low-level details, such as protocols and interfaces, and are easy to integrate
to create sophisticated workflows.
You can get started with AWS IoT Things Graph
using these pre-built models for popular device types, such as switches and
programmable logic controllers (PLCs), or create your own custom model using a
GraphQL-based schema modeling language, and deploy your IoT application to AWS
IoT Greengrass-enabled devices such as cameras, cable set-top boxes, or robotic
arms in just a few clicks. IoT Greengrass is software that provides local
compute and secure cloud connectivity so devices can respond quickly to local
events even without internet connectivity, and runs on a huge range of devices
from a Raspberry Pi to a server-level appliance. IoT Things Graph applications
run on IoT Greengrass-enabled devices.
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.