AWS IoT 1-Click, AWS IoT Device Management, AWS
IoT Device Defender, and AWS IoT Analytics allow customers to
onboard, manage, protect, and perform analytics on large fleets of
IoT devices
Amazon FreeRTOS extends the most popular open
source embedded operating system for devices with very low
computing power to support simple, secure connectivity to the AWS
Cloud
Greengrass ML Inference lets customers run
machine learning on AWS Greengrass devices; preview starts
today
Today at AWS re:Invent, Amazon Web Services,
Inc. (AWS), an Amazon.com company (NASDAQ: AMZN),
announced six significant services and capabilities for connected
devices at the edge. AWS IoT 1-Click, AWS IoT Device Management,
AWS IoT Device Defender, AWS IoT Analytics, Amazon FreeRTOS, and
AWS Greengrass ML Inference make getting started with IoT as easy
as one click, enable customers to rapidly onboard and easily manage
large fleets of devices, audit and enforce consistent security
policies, and analyze IoT device data at scale. Amazon FreeRTOS is
an operating system that extends the rich functionality of AWS IoT
to devices with very low computing power, such as lightbulbs, smoke
detectors, and conveyor belts. And, AWS Greengrass ML Inference is
a new capability for AWS Greengrass that allows machine learning
models to be deployed directly to devices, where they can run
machine learning inference to make decisions quickly, even when
devices are not connected to the cloud. To get started, visit:
https://aws.amazon.com/iot
“The explosive growth in the number and diversity of connected
devices has led to equally explosive growth in the number and scale
of IoT applications. Today, many of the world’s largest IoT
implementations run on AWS, and the next phase of IoT is all about
scale as we’ll see customers exponentially expand their fleet of
connected devices,” said Dirk Didascalou, VP IoT, AWS. “These new
AWS IoT services will allow customers to simply and quickly
operationalize, secure, and scale entire fleets of devices, and
then act on the large volumes of data they generate with new
analytics capabilities specifically designed for IoT. With Amazon
FreeRTOS, we’re making it easy for customers to bring AWS IoT
functionality to countless numbers of small, microcontroller-based
devices. And, customers have also told us they want to execute
machine learning models on the connected devices themselves, so
we’re excited to deliver that with AWS Greengrass ML
Inference.”
AWS IoT 1-Click: the easiest way to get started with AWS
IoT (available in preview)
When considering IoT, many customers just want an easy way to
get started by enabling devices to perform simple functions. These
are functions like single-button devices that call technical
support, reorder goods and services, or track asset locations. With
AWS IoT 1-Click, enabling a device with an AWS Lambda function is
as easy as downloading the mobile app, registering and selecting an
AWS IoT 1-Click enabled device, and – with a single click –
associating an AWS Lambda function. AWS IoT 1-Click comes with
pre-built AWS Lambda code for common actions like sending an SMS or
email. Customers can also easily author and upload any other Lambda
function.
iRemedy is a healthcare e-commerce marketplace where healthcare
consumers can buy medical supplies, drugs, devices, and
technologies. “Back in August, we announced our plan to deploy 500
iRemedy NOW Internet of Things (IoT) buttons to our healthcare
providers' clients. Our customers simply click the button to order
medical supplies and drug samples, or to request a call back from
our service center,” said Tony Paquin, Co-Founder, President and
CEO, iRemedy. “The buttons are easy to use and drive down supply
chain costs for our customers. AWS IoT 1-Click provides a fast and
easy way to deploy more buttons, expand the types of actions we
perform when the button is triggered, and also create simple
reports.”
New AWS IoT services for managing, securing, and analyzing
the data generated by large fleets of devices
At scale, IoT solutions can grow to billions of connected
devices. Today, this requires customers to spend time onboarding
and organizing devices, and even more time integrating multiple
systems to manage tasks like monitoring, security, auditing, and
updates. Building solutions for such tasks is time consuming and
easy to get wrong, and integrating third party solutions is complex
and may introduce hard-to-detect gaps in security and compliance.
Once a device fleet is operationalized, analytics is often the next
challenge customers face. IoT data isn’t the highly structured
information that most existing analytics tools are designed to
process. Real-world IoT data frequently has significant gaps,
corrupted messages, and false readings, resulting in the need for
customers to either build custom IoT analytics solutions, or
integrate solutions from third parties. AWS IoT Device Management
and AWS IoT Device Defender simplify onboarding, managing, and
securing fleets of IoT devices, while AWS IoT Analytics makes it
easy to run sophisticated analytics on the data generated by
devices.
- AWS IoT Device Management
(available today) makes it easy to securely onboard, organize,
monitor, and remotely manage IoT devices at scale throughout their
lifecycle—from initial setup, through software updates, to
retirement. Getting started is easy; customers simply log into the
AWS IoT Console to register devices, individually or in bulk, and
then upload attributes, certificates, and access policies. Once
devices are in service, AWS IoT Device Management allows customers
to easily group and track devices, quickly find any device in near
real-time, troubleshoot device functionality, remotely update
device software, and remotely reboot, reset, patch, and restore
devices to factory settings, reducing the cost and effort of
managing large IoT device deployments.
- AWS IoT Device Defender (coming
in the first half of 2018) continuously audits security policies
associated with devices to make sure that they aren’t deviating
from security best practices, and alerting customers when
non-compliant devices are detected. AWS IoT Device Defender also
monitors the activities of fleets of devices, identifying abnormal
behavior that might indicate a potential security issue. For
example, a customer can use AWS IoT Device Defender to define which
ports should be open on a device, where the device should connect
from, and how much data the device should send or receive. AWS IoT
Device Defender then monitors device traffic and alerts customers
when anomalies are detected, like traffic from a device to an
unknown IP address.
- AWS IoT Analytics (available in
preview) is a fully managed analytics service that cleans,
processes, stores, and analyzes IoT device data at scale. Getting
started is easy: customers simply identify the device data they
wish to analyze, and they can optionally choose to enrich the
device data with IoT-specific metadata, such as device type and
location, by using the AWS IoT Device Registry and other public
data sources. AWS IoT Analytics also has features for more
sophisticated analytics, like statistical inference, enabling
customers to understand the performance of devices, predict device
failure, and perform time-series analysis. And, by using Amazon
QuickSight in conjunction with IoT Analytics, it is easy for
customers to surface insights in easy-to-build visualizations and
dashboards.
At Philips Healthcare, the focus is to look beyond technology to
the experiences of consumers, patients, providers, and caregivers
across the health continuum. “We’re launching new health IoT
services that we believe will dramatically improve our scale and
capabilities. Part of the Philips solution involves managing
connected devices that doctors and hospitals will rely on so they
can deliver first class healthcare services,” said Dale Wiggins,
Vice President and General Manager, Philips HealthSuite Digital
Platform. “We chose AWS IoT services to ensure we can meet our
customers’ scale and reliability requirements. We have expanded
these services to ensure that data from these devices is
appropriately routed, devices are updated to the latest firmware,
and are monitored to ensure they function properly in the field.
Using AWS IoT Device Management, we were able to quickly develop
the capabilities we need in the market.”
Best known for its GPS technology, Trimble integrates a wide
range of positioning technologies including GPS, laser, optical,
and inertial technologies with application software, wireless
communications, and services to provide complete commercial
solutions. “Trimble’s commercial solutions are used in over 150
countries around the world, and we use AWS IoT as a gateway for our
next-gen IoT devices,” said Jim Coleman, Senior Engineer, Trimble.
“AWS IoT Device Management has helped streamline our device
onboarding, which has enabled us to meet our planned production
throughput for connected devices. With AWS doing the
undifferentiated heavy lifting for our IoT platform, we can spend
more time on our customers than on our infrastructure.”
iDevices is making IoT accessible to everyone in the smart home
industry with its line of Wi-Fi and Bluetooth-enabled products.
“The IoT analytics game is a race from raw data to actionable
insights. Everyone has data, but it’s the insights from that data
that are of real value to our customers,” said Eric Ferguson, Chief
Software Architect, iDevices. “The tools provided by AWS IoT
Analytics to ingest, filter, transform, and analyze our data
sources cut out a lot of the undifferentiated heavy lifting for our
team, enabling them to focus on the enrichment activities in the
pipeline and the downstream machine learning models, rather than
the mechanics of the pipeline itself. This gets us to the insights
we need with much less effort and allows us to really focus on
market differentiation.”
iRobot is a global consumer robotics company that designs and
builds robots for use inside and outside the home. “At iRobot, we
rely on IoT services because connecting robots to the Internet to
help them do more and better things is key to how we innovate,”
said Ben Kehoe, Cloud Robotics Research Scientist, iRobot. “With
AWS IoT Analytics, we gain insights into our IoT data about device
performance and usage patterns so we can empower our customers to
do more both inside and outside of the home.”
Valmet is a leading global developer and supplier of
technologies, automation, and services for the pulp, paper, and
energy industries. “Valmet is building industry leading Industrial
Internet solutions for pulp, paper, and energy customers, and we
are using the AWS cloud environment as part of our platform,” said
Juha-Pekka Helminen, Director, Valmet Digital Ecosystem. “AWS is
continuously improving and adding tools into their portfolio. We
look forward to utilizing the new AWS IoT Analytics service for our
customers’ benefit.”
Amazon FreeRTOS lets customers easily and securely connect
small, low-power devices to the cloud
Today, countless devices are already capable of connecting to
the cloud, and the number continues to grow dramatically. Many of
these devices contain enough onboard computing power (CPU) to take
advantage of AWS IoT services. However, a large number of other
devices—from lightbulbs and conveyer belts to motion
detectors—aren’t big enough to house a CPU and possess a
microcontroller (MCU) instead. The most popular operating system
used for these devices is FreeRTOS, an open source operating system
for microcontrollers that allows them to perform simple tasks.
FreeRTOS wasn’t designed specifically for IoT, so it lacks
functionality to help devices connect securely to the cloud.
Amazon FreeRTOS extends FreeRTOS with software libraries that
make it easy to securely connect small, low-power devices to AWS
cloud services like AWS IoT Core, or to more powerful edge devices
and gateways running AWS Greengrass (a software module that resides
inside devices and gives customers the same Lambda programming
model as exists within the AWS Cloud). With Amazon FreeRTOS,
developers can easily build devices with common IoT capabilities,
including networking, over-the-air software updates, encryption,
and certificate handling. Developers can use the Amazon FreeRTOS
console to configure and download Amazon FreeRTOS, or go to
FreeRTOS.org or GitHub. Several microcontroller manufacturers and
AWS Partner Network (APN) Partners support Amazon FreeRTOS,
including Microchip, NXP Semiconductors, STMicroelectronics, Texas
Instruments, Arm, IAR, Percepio, and WITTENSTEIN.
Arm defines the pervasive computing shaping today’s connected
world. Realized in more than 100 billion silicon chips, Arm
architecture is the de-facto standard for embedded applications.
“As we’ve seen the Arm-based microcontroller ecosystem grow over
recent years, FreeRTOS has played a key role in enabling embedded
developers,” said Rene Haas, EVP and President, IP Products Group
(IPG), Arm. “We are pleased to see AWS extend the FreeRTOS kernel
with increased connectivity, while adding additional security
features. Amazon FreeRTOS running on Arm-based processors is an
important milestone toward improving hardware, software, and
networking security for the industry.”
Allegion is a provider of security products for homes and
businesses. “Amazon FreeRTOS makes it easier for Allegion to
rapidly innovate new features for our connected products, such as
our Schlage electronic locks, and to move easily between hardware
platforms,” said Todd Graves, Senior Vice President of Engineering
and Technology, Allegion. “We can focus on our core strengths,
developing innovative safety and security products, knowing that
Amazon FreeRTOS will make integration reliable and
predictable.”
Hive (Centrica Connected Home) is a market leader in connected
home products that helps its customers manage their energy usage in
the UK, Ireland, and North America. “Amazon FreeRTOS is an exciting
leap forward for our business and our customers,” said Seb
Chakraborty, CTO, Hive (Centrica Connected Home). “Dev teams can
now focus their energy on the application and not the plumbing,
messaging or security. Instead, they choose the board, the chip,
and connect to AWS IoT seamlessly.”
New AWS Greengrass feature brings machine learning to the
edge (available in preview)
AWS Greengrass ML Inference is a new feature of AWS Greengrass
that lets application developers add machine learning to their
devices, without requiring special machine learning skills. IoT
devices frequently collect and forward large quantities of data,
which can be used to automate real-time decision making through
machine learning. To do this, customers build, train, and run
machine learning on their IoT data in the cloud. However, some
applications are highly latency sensitive and require the ability
to make decisions without relying on always-on network
connectivity. With AWS Greengrass ML Inference, devices can run
machine learning models to perform inference locally, get results,
and then make smart decisions quickly, even when they’re not
connected. Using Amazon SageMaker, or any machine learning
framework, customers build and train their machine learning models
in the cloud and then – with just a few clicks – use the AWS
Greengrass console to transfer the models to devices they
select.
About Amazon Web Services
For more than 11 years, Amazon Web Services has been the world’s
most comprehensive and broadly adopted cloud platform. AWS offers
over 100 fully featured services for compute, storage, databases,
networking, analytics, machine learning and artificial intelligence
(AI), Internet of Things (IoT), mobile, security, hybrid, and
application development, deployment, and management from 44
Availability Zones (AZs) across 16 geographic regions in the U.S.,
Australia, Brazil, Canada, China, Germany, India, Ireland, Japan,
Korea, Singapore, and the UK. AWS services are trusted by millions
of active customers around the world—including the fastest-growing
startups, largest enterprises, and leading government agencies—to
power their infrastructure, make them more agile, and lower costs.
To learn more about AWS, visit https://aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather
than competitor focus, passion for invention, commitment to
operational excellence, and long-term thinking. Customer reviews,
1-Click shopping, personalized recommendations, Prime, Fulfillment
by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets,
Fire TV, Amazon Echo, and Alexa are some of the products and
services pioneered by Amazon. For more information, visit
www.amazon.com/about and follow @AmazonNews.
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