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UCT AWS_IOT
- 1. AWS IoT UniConverge Technologies Pvt. Ltd. (UCT) www.uniconvergetech.in [email protected]
- 2. A Brief History Of Cloud
- 3. IoT Device Message Broker (Mosquitto) AWS Publish Publish Subscribe Log Files S3 Bucket Database Invoke a Lambda Function Basic Architecture
- 4. AWS EC2 • Virtual computing environments, known as instances. • Provides scalable computing capacity in AWS Cloud. • Enables you to scale up or down to handle changes. • Various configurations of CPU, memory, storage, and networking capacity for your instances, known as instance types. • Secure login information for your instances using key pairs. • A firewall that enables you to specify the protocols, ports, and source IP ranges that can reach your instances using security groups • Virtual networks you can create that are logically isolated from the rest of the AWS cloud, and that you can optionally connect to your own network, known as virtual private clouds (VPCs).
- 6. AWS Lambda • AWS Lambda is a compute service that lets you run code without managing servers, operating system, capacity provisioning, scaling, code monitoring and logging. • AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. • AWS Lambda run your code in response to events- build serverless applications. • Code in one of the languages that AWS Lambda supports- 1. Node.js 2. Java 3. C# 4. Go 5. Python
- 8. AWS RDS(Relational Database Service) • Amazon RDS is a web service that makes it easier to set up, operate, and scale a relational database in the cloud. • The basic infrastructure components that RDS offers- 1. Amazon Aurora 2. MariaDB 3. Microsoft SQL Server 4. MySQL 5. Oracle 6. PostgreSQL
- 10. AWS DynamoDB • Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. • DynamoDB offers encryption at rest, which eliminates the operational burden and complexity involved in protecting sensitive data. • With DynamoDB, you can create database tables that can store and retrieve any amount of data, and serve any level of request traffic. • You can scale up or scale down your tables' throughput capacity without downtime or performance degradation, and use the AWS Management Console to monitor resource utilization and performance metrics.
- 11. • Amazon DynamoDB provides on-demand backup capability. It allows you to create full backups of your tables for long-term retention and archival for regulatory compliance needs. • DynamoDB automatically spreads the data and traffic for your tables over a sufficient number of servers to handle your throughput and storage requirements, while maintaining consistent and fast performance. • All of your data is stored on solid state disks (SSDs) and automatically replicated across multiple Availability Zones in an AWS region, providing built-in high availability and data durability. You can use global tables to keep DynamoDB tables in sync across AWS Regions. • DynamoDB allows you to delete expired items from tables automatically to help you reduce storage usage and the cost of storing data that is no longer relevant.
- 12. AWS IoT Core
- 13. AWS IoT Core • Thing – A logical representation of a device. Supports attributes, as well as Device Shadows, which can be used to store device state & define desired state. • Policy – Attached to Certificates to dictate what that Certificate is entitled to do on AWS IoT. • Certificate – Things can communicate with AWS IoT via MQTT or HTTPS. MQTT transmission to your AWS IoT gateway is authenticated using certificates you will create. • Rule – Leverages AWS IoT’s Rules Engine to dictate how messages sent from Things to AWS IoT are handled. You will configure rules that send data published to an MQTT topic to a variety of AWS Services.
- 16. ELK • ELK Stack is a combination of three open source tools which form a log management tool/platform that helps in deep searching, analyzing and visualizing the log generated from different IoT devices. • E- Elasticsearch L- Logstash K- Kibana
- 18. Elasticsearch • Real time distributed and analytics engine. • Open Source developed in Java. • Supports full-text search i.e completely document based instead of tables and schemas. • Used for Single Page Application Projects. • Lets you perform many types of searches like structured, unstructured, geo etc.
- 19. Advantages of ElasticSearch • Scalable • Fast • Multilingual • Document Oriented • Autocompletion & Instant Search • Schema Free
- 20. After Query
- 21. Logstash • Data coming from the server is centrally pulled by a pipeline provided by logstash. • Centralizes the data processing. • Collects, parses and analyses large variety of structured/unstructured data and events.
- 22. Kibana • Visualization tool. • Provides real time analysis, summarization, charting and debugging capabilities. • User friendly interface. • Allows sharing of snapshots of the log. • Permits saving the dashboard. • Allows multiple dashboards.
- 23. Kibana Dashboard
- 24. IAM(Identity Access Management) • AWS Identity and Access Management (IAM) is a web service that helps you securely control access to AWS resources. • You use IAM to control who is authenticated (signed in) and authorized (has permissions) to use resources. • IAM Features: 1. Shared access to your AWS account 2. Granular permissions 3. Multi-factor authentication (MFA) 4. Eventually Consistent 5. Free to use 6. Integrated with many AWS services
- 25. CloudWatch • Amazon CloudWatch monitors your Amazon Web Services (AWS) resources and the applications you run on AWS in real time. • CloudWatch collects and track metrics, which are variables you can measure for your resources and applications. • CloudWatch alarms send notifications or automatically make changes to the resources you are monitoring based on rules that you define. • With CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health.
- 26. CloudFormation • AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS. • You create a template that describes all the AWS resources that you want, and AWS CloudFormation takes care of provisioning and configuring those resources for you. • Benefits- 1. Simplify Infrastructure Management 2. Quickly Replicate Your Infrastructure 3. Easily Control and Track Changes to Your Infrastructure
- 27. Device MQTT Broker AWS IoT Core Rule Engine ElasticsearchKibanaDashboard Architecture of a Device sending Data to Kibana Fig. Sample Kibana Dashboard
- 28. Amazon Cognito • Provides authentication, authorization, and user management for all web and mobile apps. • The two main components of Amazon Cognito are ▫ User pools ▫ Identity pools • A user pool is a user directory in Amazon Cognito. • With an identity pool, users can obtain temporary AWS credentials to access AWS services, such as Amazon S3 and DynamoDB.
- 29. Architecture of Amazon Cognito
- 30. Jobs • AWS IoT jobs can be used to define a set of remote operations that are sent to and executed on one or more devices connected to AWS IoT. • For example, there can be a job that instructs a set of devices to download and install application or firmware updates, reboot, rotate certificates, or perform remote troubleshooting operations. • Jobs are of two types: ▫ Snapshot job:- By default, a job is sent to all targets that you specify when you create the job. After those targets complete the job (or report that they are unable to do so), the job is complete. ▫ Continuous job:- A continuous job is sent to all targets that you specify when you create the job, but continues to run and will be sent to any new devices (things) that are added to the target group.
- 31. EBS(Elastic Block Storage) • EBS is the block storage that is automatically allotted once the Elasticsearch domain is created. • EBS volumes offers high availability and durability. • Amazon EBS encryption provides seamless support for data-at-rest and data-in-transit between EC2 instances and EBS volumes. • Advantages of EBS volumes: ▫ Reliable, Secure Storage ▫ Consistent, Low-latency Performance ▫ Optimized Performance ▫ Quickly Scale Up, Easily Scale Down
- 32. IoT Analytics • IoT Analytics is a fully managed service that makes it easy to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity.
- 33. Amazon Kinesis