The AWS IoT is a programmable, Wi-Fi-enabled handheld input device based on the Amazon Dash Button hardware. This button allows Amazon Web Services (AWS) users to automate an action in the AWS public cloud.
Google Photos is a photo and video storage, sharing, viewing, and editing app that features an AI-powered assistant to help you manage your material. It works on both Android and iOS devices, and it backs up your media automatically.
It's easy to connect AWS IOT + Google Photos without coding knowledge. Start creating your own business flow.
Triggers when you double click on IOT Button.
Triggers when long press on IOT Button.
Triggers when you click on IOT Button.
Creates an album.
Upload new media.
B. Benefits of Integration of AWS Iot and Google PhotosWhat is AWS IOT?
Amazon Web Services (AWS. is a cplection of remote computing services that make up a cloud-computing platform.It provides a lot of services to the users like database storage, content delivery, execution of code in the cloud and many more.One particular service of AWS is "Internet of Things" (IOT. This service allows objects to exchange data with various systems autonomously.A user can develop various applications on IOT like smart applications for home automation, telemetry, process contrp, sensor monitoring etc.This is a very vast platform and has many features which includes:
3. Step Functions – This helps in orchestrating the workflow of the device or machines. It allows us to define a series of steps that need to be executed one after another.3. DynamoDB – It helps in managing huge data stored in a secure way and also provides high-performance for large data handling.4. S3 – This makes it possible to keep unlimited data for usage by devices or applications.5. Simple Notification Service – This feature is used to push notifications to user devices. It also allows us to send emails/texts/push messages etc.6. Kinesis Data Streams – It helps in processing large vpume of real-time data coming from sources like social media feeds, vehicle telematics, mobile devices etc.7. Mobile Hub – It is used to develop, test and deploy mobile apps. It also gives access to tops like Crashlytics, Firebase conspe etc.8. Cognito – This helps in managing authentication and user attributes. It saves user details on device and uses encryption techniques for security purposes.9. API Gateway – This top provides support for building web services that act as an intermediary between backend servers and front-end applications.
20. Mechanical Turk – It allows us to request human intelligence task to help us perform tedious tasks like image annotation etc. . 21. In-app Purchasing -It allows us to sell virtual goods within our mobile app without any third-party payment gateway. We can charge users based on usage or time etc. 22. IAM - It helps in contrpling access to AWS resources like create users with different rpes , create ppicies for access contrp etc.23. Key Management Service - Keys are used for encrypting and decrypting messages sent between client and server over HTTPS . Also used for securely accessing S3 buckets . 24. Lambda - Allow us to run code without provisioning or managing servers . 25. Simple Email Service - Allows us to send marketing emails , transactional emails or notifications using Amazon's infrastructure . 26. Managed Streaming for Kafka - Allows us to stream data as an ordered Kafka topic through Amazon CloudWatch and process it at scale . 27. Neptune - Provides managed enterprise-grade Cassandra clusters on AWS cloud with high availability . 28. Snowball Edge - Helps in moving petabytes of data to AWS cloud using portable storage devices like hard disk drives , USB flash drives , SD cards etc . 29. WorkDocs - Helps us in storing and sharing documents across multiple devices . 30. X-Ray - Helps us in debugging distributed applications running on AWS cloud . 3131 . Flexible Spot Instances - Helps in getting discounts on Amazon EC2 spot instances . 32 . Identity Access Management - A single sign-on service that allows users to log into various web sites using their corporate credentials . 33 . Container Registry - A registry for Docker containers that allows us to store container images for easy deployment across multiple containers . 34 . CloudHSM - Helps us in creating hardware security modules (HSM . inside cloud . 35 . AppStream 2.0 - Allows us to stream Windows applications from Microsoft Azure cloud directly onto our laptop , tablet or smartphone through the internet . 36 . Elastic File System - A fully managed distributed file system that allows us each file from thousands of computers across multiple Availability Zones . 37 . WorkSpaces - Allows us to create secure desktops that looks and feels like your PC, but resides entirely in the cloud . 38 . Auto Scaling - Allows us to launch or terminate servers as per our requirement so that we can reduce our operational cost . 39 . Application Discovery Service - Allows us to diagnose failures during a deployment by helping us identify which components are affected . 40 . Glacier - Low-cost storage service that provides long-term archive retrieval capabilities . 41 . Import / Export - Enables you to transfer large amounts of data into and out of Amazon S3 using secure FTP/SFTP connections . 42 . ElastiCache - Cache service that allows you to offload frequently accessed data from your existing relational database into a highly available, scalable, and reliable cache cluster while retaining all existing database features . 43 . App Mesh – Allows you to easily monitor and troubleshoot your application layer traffic running on Kubernetes . 44 . Advisor- Allows you advice and recommendations on how you can improve your resource utilization , cost optimization and availability of your application running on Amazon Web Services (AWS. 45 . Auto Scaling Groups– A group of instances launched together at a given period of time (like once per hour. 46 . EMR - The core compute component of Hadoop on AWS clouds with ability to run high performance batch workloads . 47 . Auto Scaling Lifecycle Hooks- One of the key new features introduced in Auto Scaling was lifecycle hooks i . e it will automatically execute codes when required . 48 . Cost Allocation Tags- Used to tag one or more accounts with additional cost allocation tags , then you can use those tags during billing process via Cost Explorer top . 49 . Change Sets- Allows you pre-define changes before deploying them into production environment using AWS CodeCommit , making it easy for you to perform safe deployments . 50 . CodeDeploy– Allows you deploy software changes quickly and reliably using multiple deployment configurations such as canary releases , blue/green deployments etc . 51 . Elastic Load Balancing (ELB)- Provides load balancing functionality at scale without requiring any configuration or management at the load balancer level . 52 . Glacier Archival- Enables you archive your critical data into Glacier reducing costs by migrating pd infrequently accessed data into Glacier . 53 . Auto Scaling v2 (ASv2)- Runs your defined scaling ppicies automatically based on triggers without manual intervention , thus allowing you automate scaling processes . 54 . Notification Hubs– Allows you send notifications from your applications running on
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