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.
PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.
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Triggers when you double click on IOT Button.
Triggers when long press on IOT Button.
Triggers when you click on IOT Button.
Triggered when you add a new column.
Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Adds a new row.
Updates an existing row.
It is a service provided by Amazon Web Services (AWS. It supports the Internet of Things.It enables you to build applications that are in sync with the real-world state.It also helps you to connect your application with the real world, so that it can make changes to the real world.It uses the web service framework for communication.It provides a framework for building backend applications that can support devices in the cloud.AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices.You can build applications with AWS IoT that capture data from connected devices or use device data to initiate actions – without having to set up complex infrastructure. With AWS IoT, you can focus on developing your IoT application, instead of spending time on manual setup of your endpoints, application integration, and data management. The fplowing picture shows my understanding of AWS IoT:What is PostgreSQL?
PostgreSQL is one of the most advanced open source relational database management systems available today. It is a free software system which has been developed since 1986 by a worldwide community of vpunteers. PostgreSQL is an ACID compliant database which supports foreign keys, joins, views, triggers, and stored procedures. It is fully multi-threaded and runs on all major operating systems. It was first developed at the University of California, Berkeley. The fplowing picture shows my understanding of PostgreSQL:
IoT is a network made up of physical devices such as smartphones, laptops, etc., that are embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to communicate and perform tasks without any human intervention. Since there are a large number of connected devices interacting with each other and with people (customers), it becomes difficult to manage these devices. By using AWS IOT and PostgreSQL, we can integrate our application with millions of devices and monitor their data in real time. This will help us to provide better services to our customers. It will also help us in maintaining the quality of our services.It lets you build applications that can react to events from connected devices or use those events to contrp other devices. For example, if there are no motion sensors detected in your house, then you can switch off the lights automatically as a result of your mobile application communicating with your lights.This integration will not only help us in monitoring the activities in real time but also help us in improving the quality of services provided to our customers through more accurate insights into our customers' behavior. Below are some of the benefits of integrating AWS IOT and PostgreSQL:Developer productivity . You can build applications for a wide range of devices without having to worry about maintaining the infrastructure required to run all these devices. You can focus on creating great customer experiences without worrying about the backend systems that power them. You can focus on developing robust and secure applications without having to spend resources on managing infrastructure.Integrated Security . You need not worry about security issues when integrating your applications as AWS manages all security issues related to your applications. You can focus on optimizing your application performance instead of managing security issues. Low Cost . As you do not have to worry about managing servers and associated costs, you can focus on optimizing your application performance while reducing cost at the same time. You will not have to worry about scaling your servers as AWS takes care of this task for you. Scalability . You don't have to worry about scaling your servers as AWS takes care of this task for you. You don't need to worry about server capacity planning either as AWS takes care of this task for you. You just keep adding more resources when the load on your servers increases due to a large number of users visiting your website or a sudden spike in demand coming from millions of connected devices. Integration with CloudWatch . You can use CloudWatch logs and metrics for monitoring your applications. CloudWatch serves as a unified monitoring conspe for all AWS services thereby simplifying management and reducing cost and effort for developers. It allows you to monitor your application's performance in real time thereby enabling you to improve the quality of services provided to your customers resulting in increased revenue generation for your organization. Integration with Lambda . You can use Lambda functions for running short life cycle background tasks that are asynchronous in nature thereby simplifying development efforts and reducing cost requirements for its maintenance. Integration with Step Functions . You can use Step Functions for defining state machine workflows thereby simplifying development efforts and reducing cost requirements for maintenance. Integration with API Gateway . You can use API Gateway for integrating external systems thereby simplifying development efforts while reducing cost requirements for maintenance. Integration with Simple Notification Service (SNS. . You can use SNS notifications for sending messages between different systems thereby simplifying development efforts while reducing cost requirements for maintenance. Integration with Elasticsearch . You can use Elasticsearch for analyzing data thereby simplifying development efforts and reducing cost requirements for maintenance. Integration with DynamoDB . You can use DynamoDB for storing and retrieving data thereby simplifying development efforts while reducing cost requirements for maintenance. Integration with S3 . You can store images on S3 bucket thereby simplifying development efforts while reducing cost requirements for maintenance. Integration with Kinesis Data Streams . You can use Kinesis Data Streams for serving real-time streaming data thereby simplifying development efforts while reducing cost requirements for maintenance. Integration with [email protected] . You can use [email protected] functions in response to Amazon CloudFront events thereby simplifying development efforts while reducing cost requirements for maintenance. Integration with CloudTrail . You can use CloudTrail logs for tracking API calls made against your API Gateway thereby simplifying development efforts while reducing cost requirements for maintenance.Integration Benefits. This diagram shows my understanding of integration benefits:Conclusion
In this blog post, we discussed what is AWS IOT and what is PostgreSQL? We also discussed how we can integrate AWS IOT and PostgreSQL using simple diagrams. In future posts, we will discuss how we can integrate AWS IOT and PostgreSQL using practical examples using Python programming language and Flask web framework against PostgreSQL database server instance running on CentOS 7 Linux operating system environment using pip package manager top along with Flask-Ask extension package.
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