aws IoT
Analytics
filter
mqtt topic
format &frequency
channel
process
Prepare data
cleanse
detect miss data
cleans false readings, fills gaps in the data,
lambda
to estimate and fill gaps
max/min filters and percentile thresholds to remove outliers
transform
math, condition
enrich data
enrich it with information from the AWS IoT registry
lambda with other service
store
time-series
export
raw
analyze
Ad hoc SQL Queries
Time-Series Analysi
apply ML
hosted Jupyter notebooks
QuickSight integration
GreenGrass
lambda
run AWS Lambda functions right on the device
device shadow
sync to cloud
communication
messaging between devices on a local network
protocol
OPC-UA
protocol adapter
OTA update
local resource
ML inference
use trained model
enabled device
pricing
FreeRTOS
microcontroller (MCU)
IoT OS
hardware
ARM, MIPS
Amazon FreeRTOS Qualification Program
connection
AWS IoT core
MQTT
edge
Greegrass
Greengrass Discovery API
Wi-Fi or Ethernet
OTA update
lib
security
TLS 1.2
device shadow
IoT core
conn
protocol
device gateway
mqtt
websocket
IoT device sdk
message broker
pub/sub
one to one
broadcast
secure
authentication
X.509
custom authorizers/token
authororization
Cognito
Device defender
data
rule
state
offline
registery
identity
meta
#TODO - how to identify unique device?
batch onboard
template
group
define conn
deploy
hierarchy
access policies with inherit
locate device
search by attribute & state
OTA update
reboot
reset
patch
Free RTOS
log
device shadow
latest state
persists the last reported state and desired future state
synchronize
interact
always available REST APIs.
set the desired future state
#TODO - firmware support?
rule engine
gather, process, analyze and act on data generated by connected device
SQL-like syntax
take into account other data
dozens of available functions
pricing