Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 to store and retrieve any amount of data at any time, from anywhere.
Cloud Computing With Amazon Web Services, Part 2: Storage in the Cloud With A...white paper
This document provides an overview of Amazon Simple Storage Service (S3):
- S3 is a scalable cloud storage service that allows users to store and retrieve large amounts of data at any time.
- Data is stored in buckets which are analogous to file system directories. Objects contain the actual data and metadata.
- Objects are uniquely identified by their bucket name and key name. Security, access controls, and pricing models are described.
- The document provides examples and explanations of buckets, objects, keys, access logging, security features, and pricing to illustrate how S3 works at a high level.
This document summarizes an upcoming MuleSoft meetup in NYC on integrating with AWS S3. The meetup will be hosted by Neeraj Kumar and feature a presentation by Tirthankar Kundu on using the MuleSoft connector for AWS S3. The agenda will include an introduction to AWS and S3, a demonstration of the S3 connector in MuleSoft, and a Q&A session with trivia questions about AWS S3. Upcoming meetups will focus on continuous integration/delivery and caching strategies with MuleSoft.
This document provides an overview and introduction to Amazon S3 storage service. It discusses key concepts like buckets and objects, different APIs, authentication and access control. It also covers billing and common operations like creating buckets, writing and reading objects. The document is intended to help developers get started with Amazon S3.
The Amazon S3 connector allows integration with Amazon S3 storage via the AWS API. It enables storing and retrieving objects from S3 as well as building applications that leverage S3 storage. The connector requires AWS credentials and supports all standard S3 operations like creating/deleting buckets and objects, uploading/downloading data, and more. A sample Mule application demonstrates creating a bucket using the S3 connector.
Using CloudTrail to Enhance Compliance and Governance of S3 - AWS Online Tech...Amazon Web Services
-Learn how to use AWS services to protect highly classified information
-Learn about compliance and governance with AWS -Learn how to use AWS CloudTrail to gain visibility into your AWS account activity
The Anypoint Amazon S3 Connector allows integration with the Amazon S3 API to store, download, and use data with AWS services and other applications. It provides instant access to the S3 API to seamlessly integrate S3 with databases, CMSs like Drupal, and CRMs like Salesforce. The connector requires AWS access and credentials to access S3 through Anypoint Studio Enterprise edition and perform operations like creating and retrieving objects and buckets.
Cloud Computing With Amazon Web Services, Part 2: Storage in the Cloud With A...white paper
This document provides an overview of Amazon Simple Storage Service (S3):
- S3 is a scalable cloud storage service that allows users to store and retrieve large amounts of data at any time.
- Data is stored in buckets which are analogous to file system directories. Objects contain the actual data and metadata.
- Objects are uniquely identified by their bucket name and key name. Security, access controls, and pricing models are described.
- The document provides examples and explanations of buckets, objects, keys, access logging, security features, and pricing to illustrate how S3 works at a high level.
This document summarizes an upcoming MuleSoft meetup in NYC on integrating with AWS S3. The meetup will be hosted by Neeraj Kumar and feature a presentation by Tirthankar Kundu on using the MuleSoft connector for AWS S3. The agenda will include an introduction to AWS and S3, a demonstration of the S3 connector in MuleSoft, and a Q&A session with trivia questions about AWS S3. Upcoming meetups will focus on continuous integration/delivery and caching strategies with MuleSoft.
This document provides an overview and introduction to Amazon S3 storage service. It discusses key concepts like buckets and objects, different APIs, authentication and access control. It also covers billing and common operations like creating buckets, writing and reading objects. The document is intended to help developers get started with Amazon S3.
The Amazon S3 connector allows integration with Amazon S3 storage via the AWS API. It enables storing and retrieving objects from S3 as well as building applications that leverage S3 storage. The connector requires AWS credentials and supports all standard S3 operations like creating/deleting buckets and objects, uploading/downloading data, and more. A sample Mule application demonstrates creating a bucket using the S3 connector.
Using CloudTrail to Enhance Compliance and Governance of S3 - AWS Online Tech...Amazon Web Services
-Learn how to use AWS services to protect highly classified information
-Learn about compliance and governance with AWS -Learn how to use AWS CloudTrail to gain visibility into your AWS account activity
The Anypoint Amazon S3 Connector allows integration with the Amazon S3 API to store, download, and use data with AWS services and other applications. It provides instant access to the S3 API to seamlessly integrate S3 with databases, CMSs like Drupal, and CRMs like Salesforce. The connector requires AWS access and credentials to access S3 through Anypoint Studio Enterprise edition and perform operations like creating and retrieving objects and buckets.
This document summarizes key aspects of full stack analytics on AWS, including foundational services like storage, data ingestion, processing and analytics, machine learning, and security. It discusses AWS services like S3, Athena, Glue, Kinesis, Rekognition, and how they can be used together for cost-effective analytics from ingestion to machine learning to building smarter applications. Security is addressed at both the service and data levels using tools like IAM, encryption, and third party integration.
1. Amazon S3 was found to have the largest storage capacity and distribution of data centers globally.
2. Rackspace Cloud Files and Microsoft Azure Storage had competitive performance and uptime.
3. Factors like pricing models, service levels, security controls, and integration with other cloud services varied significantly between providers.
Simple Storage Service (S3) is Amazon's cloud storage service that allows users to store and retrieve unlimited amounts of data from anywhere via the internet. Data is organized into buckets and objects, which can be accessed via unique keys. S3 provides secure, durable, and highly scalable storage across multiple regions. Users are charged based on storage usage and requests made.
The document discusses Amazon S3 and how it is used by many large companies to store massive amounts of data. It outlines key features of S3 including different storage classes, cross region replication, lifecycle policies, and analytics capabilities. The document also discusses using S3 for website hosting, big data analytics, backup/disaster recovery, and event-driven architectures with AWS Lambda. Overall, the document shows how Amazon S3 has become a fundamental service for storing and analyzing large scale data across a wide variety of use cases.
The goal of this course is to give you and in depth knowledge of Amazon S3 and hands on practice using it so you can use it in your own projects or organization. This course covers the basics as well as the more advanced parts that sometimes get left out such as command line commands and detailed security policy examples.
For full video course please visit:
https://www.udemy.com/aws-foundations-amazon-s3-mastery-bootcamp/?couponCode=SLIDESHARE
AWS S3 | Tutorial For Beginners | AWS S3 Bucket Tutorial | AWS Tutorial For B...Simplilearn
This presentation AWS S3 will help you understand what is cloud storage, types of storage, life before Amazon S3, what is S3 ( Amazon Simple Storage Service ), benefits of S3, objects and buckets, how does Amazon S3 work along with the explanation on features of AWS S3. Amazon S3 is a storage service for the Internet. It is a simple storage service that offers software developers a highly-scalable, reliable, and low-latency data storage infrastructure at a relatively low cost. Amazon S3 gives a simple web service interface that can be used to store and restore any amount of data. Using this, developers can build applications that make use of Internet storage with ease. Amazon S3 is designed to be highly flexible and scalable. Now, lets deep dive into this presentation and understand what Amazon S3 actually is.
Below topics are explained in this AWS S3 presentation:
1. What is Cloud storage?
2. Types of storage
3. Before Amazon S3
4. What is S3
5. Benefits of S3
6. Objects and buckets
7. How does Amazon S3 work
8. Features of S3
This AWS certification training is designed to help you gain in-depth understanding of Amazon Web Services (AWS) architectural principles and services. You will learn how cloud computing is redefining the rules of IT architecture and how to design, plan, and scale AWS Cloud implementations with best practices recommended by Amazon. The AWS Cloud platform powers hundreds of thousands of businesses in 190 countries, and AWS certified solution architects take home about $126,000 per year.
This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready aws certified solutions architect to help you qualify for a position as a high-quality AWS professional.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security. Those who complete the course will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, compute, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms
This AWS course is recommended for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud-based solutions and migrate existing workloads to the cloud.
Learn more at: https://www.simplilearn.com/
This document provides information about Amazon S3, Amazon EBS, and storage classes in AWS. It discusses key concepts of S3 including objects, buckets, and keys. It describes the different S3 storage classes like STANDARD, STANDARD_IA, GLACIER and their use cases. The document also covers S3 features like access control, versioning, lifecycle management and managing access. Finally, it provides an overview of Amazon EBS volumes, volume types, snapshots and EBS optimized instances.
This document compares two options for long-term digital preservation outside of ContentDM: OCLC's Digital Archive and Amazon S3. While the Digital Archive integrates well with ContentDM and requires little maintenance, it is more expensive. Amazon S3 is cheaper but requires managing the digital preservation process. The solution was to use a local server with a MySQL database to manage objects, along with BagIt and PREMIS for metadata and fixity checks. Objects would then be deposited quarterly to the local RAID drive and Amazon S3 for redundancy. This provides preservation functionality similar to the Digital Archive at a lower cost.
This document outlines a presentation about Amazon S3 cloud storage. It introduces Amazon Web Services and how Amazon S3 provides scalable, reliable data storage infrastructure as a service. Key advantages of Amazon S3 discussed are its simple design focused on creating and storing unlimited amounts of data in buckets, with permissions to control access. The document also notes Amazon S3's standards-based interfaces, cost advantages of paying only for storage used, reliability, and security.
Automated security analysis of aws clouds v1.0CSA Argentina
This document discusses performing automated security assessments of AWS cloud environments. It outlines some of the most common vulnerabilities found in AWS accounts, such as open S3 buckets, secrets in EC2 user-data, IAM privilege escalation, and open security groups. The document then evaluates several open source tools for identifying these vulnerabilities, including Scout2, Prowler, Pacu, and CloudMapper, noting their strengths, weaknesses, and limitations. It stresses that while these tools provide a starting point, expert review is still required due to incomplete vulnerability coverage and potential for incorrect findings. The document concludes by urging readers to perform periodic security assessments and implement basic security practices like storing backups in separate accounts and using Trusted Advisor.
Aws object storage and cdn(s3, glacier and cloud front) part 1Parag Patil
This document provides an overview of AWS object storage solutions like Amazon S3 and Amazon Glacier. It discusses how object storage allows for limitless data storage in native formats and helps consolidate fragmented storage. It then describes key features of Amazon S3 like its pay-as-you-go model, versioning for recovery of prior object versions, and cross-region replication for availability. Finally, it covers lifecycle management for cost-effective storage and Amazon Glacier for low-cost archival storage of infrequently accessed data.
In this session, we’ll expand on the S3 re:Invent deep-dive session with a hands-on workshop on advanced S3 features and storage management capabilities. We’ll have AWS S3 and Glacier experts on-hand to deep-dive on S3 architecture, performance & scalability optimization, how to analyze your content and leverage storage tiers (S3 Standard, S3 Standard Infrequent Access, Glacier) to balance cost and SLAs, security considerations, replication with Cross Region Replication (CRR), versioning for data protection and more.
In the hands-on lab, we’ll walk through a customer scenario: architecting a high-performance infrastructure for consumer applications. In the scenario, we’ll use sample data sets on S3, analyze object retrieval patterns and design a complete solution using many of the features S3 offers including migrating objects to an appropriate tier.
Prerequisites:
- Participants should have an AWS account established and available for use during the workshop.
- Please bring your own laptop.
AWS S3 provides cloud storage and object storage services. It allows users to store and retrieve large amounts of data over the internet at a low cost. Some key benefits include durability, scalability, availability, and security. S3 stores data as objects within buckets and provides features like lifecycle management, bucket policies, encryption, versioning, and cross-region replication.
Amazon S3 is a simple storage service that provides object storage through a web services interface. It offers three storage classes - Standard, Reduced Redundancy, and Glacier - with different levels of availability and durability. S3 uses a flat namespace consisting of buckets and objects, and provides security, access control, and server-side encryption features. Objects are accessed via RESTful APIs.
Learn the basics of getting started with AWS and migrating your data to AWS. This session will also cover core AWS services, such as Amazon EC2 and Amazon S3, and provide demonstrations of how to set up and utilize those services to launch virtual machines in the cloud.
IAM provides centralized identity and access management for AWS services. It uses users, groups, roles, and policies to control permissions. IAM is global and integrates with other AWS services. S3 provides scalable object storage and uses buckets and objects. Objects have keys, metadata, and versions. S3 offers various storage classes and features like encryption, versioning, and cross-region replication.
Azure Data serices and databricks architectureAdventureWorld5
This document provides an agenda for a workshop on reading and writing data in Azure Databricks. The workshop covers reading data from CSV, JSON, and Parquet files, as well as data stored in tables and views. It also covers writing data and completing exercises to practice reading and writing data. The document includes links to deploy an Azure Databricks workspace and import materials needed for the workshop exercises.
This document provides an agenda and instructions for a workshop on reading and writing data in Azure Databricks. The workshop covers reading data from CSV, JSON, and Parquet files as well as data stored in tables and views. It also covers writing data to Parquet files. The exercises guide participants through reading and writing data in notebooks within their Azure Databricks workspace.
A library management system is software that is designed to manage all the functions of a library. It helps librarian to maintain the database of new books and the books that are borrowed by members along with their due dates.
Anti-sleep alarm is an application to keep car drivers awake. Although it was designed for car drivers, it can also be used in any other situation where you need to stay awake.
This document summarizes key aspects of full stack analytics on AWS, including foundational services like storage, data ingestion, processing and analytics, machine learning, and security. It discusses AWS services like S3, Athena, Glue, Kinesis, Rekognition, and how they can be used together for cost-effective analytics from ingestion to machine learning to building smarter applications. Security is addressed at both the service and data levels using tools like IAM, encryption, and third party integration.
1. Amazon S3 was found to have the largest storage capacity and distribution of data centers globally.
2. Rackspace Cloud Files and Microsoft Azure Storage had competitive performance and uptime.
3. Factors like pricing models, service levels, security controls, and integration with other cloud services varied significantly between providers.
Simple Storage Service (S3) is Amazon's cloud storage service that allows users to store and retrieve unlimited amounts of data from anywhere via the internet. Data is organized into buckets and objects, which can be accessed via unique keys. S3 provides secure, durable, and highly scalable storage across multiple regions. Users are charged based on storage usage and requests made.
The document discusses Amazon S3 and how it is used by many large companies to store massive amounts of data. It outlines key features of S3 including different storage classes, cross region replication, lifecycle policies, and analytics capabilities. The document also discusses using S3 for website hosting, big data analytics, backup/disaster recovery, and event-driven architectures with AWS Lambda. Overall, the document shows how Amazon S3 has become a fundamental service for storing and analyzing large scale data across a wide variety of use cases.
The goal of this course is to give you and in depth knowledge of Amazon S3 and hands on practice using it so you can use it in your own projects or organization. This course covers the basics as well as the more advanced parts that sometimes get left out such as command line commands and detailed security policy examples.
For full video course please visit:
https://www.udemy.com/aws-foundations-amazon-s3-mastery-bootcamp/?couponCode=SLIDESHARE
AWS S3 | Tutorial For Beginners | AWS S3 Bucket Tutorial | AWS Tutorial For B...Simplilearn
This presentation AWS S3 will help you understand what is cloud storage, types of storage, life before Amazon S3, what is S3 ( Amazon Simple Storage Service ), benefits of S3, objects and buckets, how does Amazon S3 work along with the explanation on features of AWS S3. Amazon S3 is a storage service for the Internet. It is a simple storage service that offers software developers a highly-scalable, reliable, and low-latency data storage infrastructure at a relatively low cost. Amazon S3 gives a simple web service interface that can be used to store and restore any amount of data. Using this, developers can build applications that make use of Internet storage with ease. Amazon S3 is designed to be highly flexible and scalable. Now, lets deep dive into this presentation and understand what Amazon S3 actually is.
Below topics are explained in this AWS S3 presentation:
1. What is Cloud storage?
2. Types of storage
3. Before Amazon S3
4. What is S3
5. Benefits of S3
6. Objects and buckets
7. How does Amazon S3 work
8. Features of S3
This AWS certification training is designed to help you gain in-depth understanding of Amazon Web Services (AWS) architectural principles and services. You will learn how cloud computing is redefining the rules of IT architecture and how to design, plan, and scale AWS Cloud implementations with best practices recommended by Amazon. The AWS Cloud platform powers hundreds of thousands of businesses in 190 countries, and AWS certified solution architects take home about $126,000 per year.
This AWS certification course will help you learn the key concepts, latest trends, and best practices for working with the AWS architecture – and become industry-ready aws certified solutions architect to help you qualify for a position as a high-quality AWS professional.
The course begins with an overview of the AWS platform before diving into its individual elements: IAM, VPC, EC2, EBS, ELB, CDN, S3, EIP, KMS, Route 53, RDS, Glacier, Snowball, Cloudfront, Dynamo DB, Redshift, Auto Scaling, Cloudwatch, Elastic Cache, CloudTrail, and Security. Those who complete the course will be able to:
1. Formulate solution plans and provide guidance on AWS architectural best practices
2. Design and deploy scalable, highly available, and fault tolerant systems on AWS
3. Identify the lift and shift of an existing on-premises application to AWS
4. Decipher the ingress and egress of data to and from AWS
5. Select the appropriate AWS service based on data, compute, database, or security requirements
6. Estimate AWS costs and identify cost control mechanisms
This AWS course is recommended for professionals who want to pursue a career in Cloud computing or develop Cloud applications with AWS. You’ll become an asset to any organization, helping leverage best practices around advanced cloud-based solutions and migrate existing workloads to the cloud.
Learn more at: https://www.simplilearn.com/
This document provides information about Amazon S3, Amazon EBS, and storage classes in AWS. It discusses key concepts of S3 including objects, buckets, and keys. It describes the different S3 storage classes like STANDARD, STANDARD_IA, GLACIER and their use cases. The document also covers S3 features like access control, versioning, lifecycle management and managing access. Finally, it provides an overview of Amazon EBS volumes, volume types, snapshots and EBS optimized instances.
This document compares two options for long-term digital preservation outside of ContentDM: OCLC's Digital Archive and Amazon S3. While the Digital Archive integrates well with ContentDM and requires little maintenance, it is more expensive. Amazon S3 is cheaper but requires managing the digital preservation process. The solution was to use a local server with a MySQL database to manage objects, along with BagIt and PREMIS for metadata and fixity checks. Objects would then be deposited quarterly to the local RAID drive and Amazon S3 for redundancy. This provides preservation functionality similar to the Digital Archive at a lower cost.
This document outlines a presentation about Amazon S3 cloud storage. It introduces Amazon Web Services and how Amazon S3 provides scalable, reliable data storage infrastructure as a service. Key advantages of Amazon S3 discussed are its simple design focused on creating and storing unlimited amounts of data in buckets, with permissions to control access. The document also notes Amazon S3's standards-based interfaces, cost advantages of paying only for storage used, reliability, and security.
Automated security analysis of aws clouds v1.0CSA Argentina
This document discusses performing automated security assessments of AWS cloud environments. It outlines some of the most common vulnerabilities found in AWS accounts, such as open S3 buckets, secrets in EC2 user-data, IAM privilege escalation, and open security groups. The document then evaluates several open source tools for identifying these vulnerabilities, including Scout2, Prowler, Pacu, and CloudMapper, noting their strengths, weaknesses, and limitations. It stresses that while these tools provide a starting point, expert review is still required due to incomplete vulnerability coverage and potential for incorrect findings. The document concludes by urging readers to perform periodic security assessments and implement basic security practices like storing backups in separate accounts and using Trusted Advisor.
Aws object storage and cdn(s3, glacier and cloud front) part 1Parag Patil
This document provides an overview of AWS object storage solutions like Amazon S3 and Amazon Glacier. It discusses how object storage allows for limitless data storage in native formats and helps consolidate fragmented storage. It then describes key features of Amazon S3 like its pay-as-you-go model, versioning for recovery of prior object versions, and cross-region replication for availability. Finally, it covers lifecycle management for cost-effective storage and Amazon Glacier for low-cost archival storage of infrequently accessed data.
In this session, we’ll expand on the S3 re:Invent deep-dive session with a hands-on workshop on advanced S3 features and storage management capabilities. We’ll have AWS S3 and Glacier experts on-hand to deep-dive on S3 architecture, performance & scalability optimization, how to analyze your content and leverage storage tiers (S3 Standard, S3 Standard Infrequent Access, Glacier) to balance cost and SLAs, security considerations, replication with Cross Region Replication (CRR), versioning for data protection and more.
In the hands-on lab, we’ll walk through a customer scenario: architecting a high-performance infrastructure for consumer applications. In the scenario, we’ll use sample data sets on S3, analyze object retrieval patterns and design a complete solution using many of the features S3 offers including migrating objects to an appropriate tier.
Prerequisites:
- Participants should have an AWS account established and available for use during the workshop.
- Please bring your own laptop.
AWS S3 provides cloud storage and object storage services. It allows users to store and retrieve large amounts of data over the internet at a low cost. Some key benefits include durability, scalability, availability, and security. S3 stores data as objects within buckets and provides features like lifecycle management, bucket policies, encryption, versioning, and cross-region replication.
Amazon S3 is a simple storage service that provides object storage through a web services interface. It offers three storage classes - Standard, Reduced Redundancy, and Glacier - with different levels of availability and durability. S3 uses a flat namespace consisting of buckets and objects, and provides security, access control, and server-side encryption features. Objects are accessed via RESTful APIs.
Learn the basics of getting started with AWS and migrating your data to AWS. This session will also cover core AWS services, such as Amazon EC2 and Amazon S3, and provide demonstrations of how to set up and utilize those services to launch virtual machines in the cloud.
IAM provides centralized identity and access management for AWS services. It uses users, groups, roles, and policies to control permissions. IAM is global and integrates with other AWS services. S3 provides scalable object storage and uses buckets and objects. Objects have keys, metadata, and versions. S3 offers various storage classes and features like encryption, versioning, and cross-region replication.
Azure Data serices and databricks architectureAdventureWorld5
This document provides an agenda for a workshop on reading and writing data in Azure Databricks. The workshop covers reading data from CSV, JSON, and Parquet files, as well as data stored in tables and views. It also covers writing data and completing exercises to practice reading and writing data. The document includes links to deploy an Azure Databricks workspace and import materials needed for the workshop exercises.
This document provides an agenda and instructions for a workshop on reading and writing data in Azure Databricks. The workshop covers reading data from CSV, JSON, and Parquet files as well as data stored in tables and views. It also covers writing data to Parquet files. The exercises guide participants through reading and writing data in notebooks within their Azure Databricks workspace.
A library management system is software that is designed to manage all the functions of a library. It helps librarian to maintain the database of new books and the books that are borrowed by members along with their due dates.
Anti-sleep alarm is an application to keep car drivers awake. Although it was designed for car drivers, it can also be used in any other situation where you need to stay awake.
The Marvel Cinematic Universe (MCU) is an American media franchise and shared universe centered on a series of superhero films produced by Marvel Studios.
This document describes a learning management system project. It includes an abstract that defines a learning management system as software to manage user learning interventions through web-based tools to plan, implement, and assess learning processes. The abstract also notes that LMS provides workspaces for information sharing and communication between students and lecturers. The document lists objectives and includes diagrams of the state machine and use cases. It concludes by identifying AWS and Moodle as the tools used.
Finite Automata(FA) is the simplest machine to recognize patterns. The finite automata or finite state machine is an abstract machine that has five elements or tuples. It has a set of states and rules for moving from one state to another but it depends upon the applied input symbol. Basically, it is an abstract model of a digital computer.
DFA: DFA refers to Deterministic Finite Automaton. A Finite Automata(FA) is said to be deterministic if corresponding to an input symbol, there is a single resultant state i.e. there is only one transition. A deterministic finite automata is set of five tuples represented as,
Where,
Q: A non-empty finite set of states in the finite control(qo, q1, q2, …).
Σ: A non-empty finite set of input symbols.
δ: It is a transition function that takes two arguments, a state, and an input symbol, it returns a single state.
qo: It is starting state, one of the states in Q.
F: It is a non-empty set of final states/ accepting states from the set belonging to Q.
2. NFA:
NFA refers to Nondeterministic Finite Automaton. A Finite Automata(FA) is said to be non-deterministic if there is more than one possible transition from one state on the same input symbol.
A non-deterministic finite automata is also a set of five tuples and represented as,
Where,
Q: A set of non empty finite states.
Σ: A set of non empty finite input symbols.
δ: It is a transition function that takes a state from Q and an input symbol from and returns a subset of Q.
qo: Initial state of NFA and member of Q.
F: A non-empty set of final states and member of Q.
An online food ordering system allows your business to accept and manage orders placed online for delivery or takeaway. Customers browse a digital menu, either on an app or website and place and pay for their order online.
A boom barrier, also known as a boom gate, is a bar, or pole pivoted to allow the boom to block vehicular or pedestrian access through a controlled point. Typically, the tip of a boom gate rises in a vertical arc to a near vertical position. Boom gates are often counterweighted, so the pole is easily tipped.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Gas agency management system project report.pdfKamal Acharya
The project entitled "Gas Agency" is done to make the manual process easier by making it a computerized system for billing and maintaining stock. The Gas Agencies get the order request through phone calls or by personal from their customers and deliver the gas cylinders to their address based on their demand and previous delivery date. This process is made computerized and the customer's name, address and stock details are stored in a database. Based on this the billing for a customer is made simple and easier, since a customer order for gas can be accepted only after completing a certain period from the previous delivery. This can be calculated and billed easily through this. There are two types of delivery like domestic purpose use delivery and commercial purpose use delivery. The bill rate and capacity differs for both. This can be easily maintained and charged accordingly.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Digital Twins Computer Networking Paper Presentation.pptx
AWS S3
1. D A T E : 2 1 S T . 0 9 . 2 0 2 2
AWS S3
INTERNAL-2 PRESENTATION
2. Jagannath Dansana
Reg no: 200301120080
Domain – Cloud Technology
Semester: 5th (3rd year)
Prof. RAJ KUMAR MOHANTA
M.Tech
Assistant Professor
School of Engineering and Technolog
Personal Information: Faculty Information:
4. Introduction
• S3 is one of the first services that has been produced by aws.
• S3 stands for Simple Storage Service.
• S3 provides developers and IT teams with secure, durable, highly scalable object storage.
• It is easy to use with a simple web services interface to store and retrieve any amount of data from
anywhere on the web.
◦ S3 is a safe place to store the files.
◦ It is Object-based storage, i.e., you can store the images, word files, pdf files, etc.
◦ The files which are stored in S3 can be from 0 Bytes to 5 TB.
◦ It has unlimited storage means that you can store the data as much you want.
6. S3 is a simple key-value store
S3 is object-based. Objects consist of the following:
• Key: It is simply the name of the object. For example, hello.txt, spreadsheet.xlsx, etc. You can use the
key to retrieve the object.
• Value: It is simply the data which is made up of a sequence of bytes. It is actually a data inside the
file.
• Version ID: Version ID uniquely identifies the object. It is a string generated by S3 when you add an
object to the S3 bucket.
• Metadata: It is the data about data that you are storing. A set of a name-value pair with which you
can store the information regarding an object. Metadata can be assigned to the objects in Amazon
S3 bucket.
• Subresources: Subresource mechanism is used to store object-specific information.
• Access control information: You can put the permissions individually on your files.
7. Creating an S3 Bucket
Step 1: We must log in to AWS console account.
8. Creating an S3 Bucket
Step 2: Go to all services, click on s3 service.