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What Is Amazon Web Services(AWS): Its Uses and Services

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations. It was one of the first companies to provide users with computing, throughput, and storage as needed on the basis of pay-as-you-go cloud computing model.There are several availability zones (AZs) present in regions across the world with data centers. An AZ is a location with multiple physical data centers. A collection of AZs connected by network links with low latency is termed as a region. As an AWS customer, you will be setting up virtual machines and replicating data in different AZs. This helps in building a reliable infrastructure resistant to failure of servers or the data center.What are AWS uses:Currently, AWS is powering much of the infrastructure of the internet. The platform contains everything that you might need for your small, mid-sized or large corporation. Here are a few business advantages of using AWS:1. Simple Storage ServiceAmazon AWS provides S3 or Simple Storage Service that can be used for sharing large files or small files to large audiences online. Depending on the web server type that you are using, you can quickly run out of resources as sharing huge volumes of data online is very expensive. AWS provides cloud storage for your use that offers scalability for file sharing.2. Simple Email ServiceWhen you want to send emails to thousands of customers, you can’t just use an email service like Outlook or Gmail. Even if somehow you manage to send out the emails, email providers like Yahoo and Gmail will treat them as spam messages. Simple Email Service of Amazon is able to handle such transactional emails at an affordable cost.3. CloudFrontWeb data is transferred from a central server to an edge server’s distributed network which is closer to the location of the end-user. This task is performed by the Content Delivery Network or CDN. This distributes the website traffic loads better, improving the load times and providing a better experience for the end-user. Large CDNs are expensive. Amazon’s CDN service, CloudFront manages to bring everything under a single room and with no limit to its scalability.4. Website hostingAWS offers the advantage of not worrying about exceeding the allocated usage of resources. Hosting a website on AWS might not be a one-click installation but its scalability makes it perfect for hosting different websites.5. File sharing systemNormally, in a large company, one central drive is used by all the computers for storing and sharing files with other members of the team. AWS offers a file-sharing system that is best suited for an organization with employees around the world. Once you set everything up, it works on scale forever. You will never run out of drive space and you will have access to the files from anywhere in the world.Here are some other advantages of incorporating AWS in your business:It allows the organizations usage of familiar operating systems, architectures, databases, and programming models.There are no long-term commitments or up-front payment. You only pay for what you use which makes it a very cost-effective service.You don’t have to spend a single penny to run and maintain data centersWith AWS services, you can enjoy faster deployments.Adding or removing capacity is very easy.You can quickly get access to the cloud with limitless activity.Compared to private servers, the cost of ownership is low.AWS services have hybrid capabilities.It offers centralized management and billing.Deployment of applications in several regions across the world is possible with just a few clicks.What are AWS Components1. Data Management and Data TransferTo run HPC applications in the AWS cloud, you need to move the required data into the cloud. There are several data transport solutions designed to securely transfer huge amounts of data. This overcomes issues like a long time for transfer, high network costs, and security concerns. Also, you can automate the movement of data between the AWS cloud and on-premises storage. There are options for establishing a private connection to the AWS from your premises. This increases bandwidth to provide more throughput, reduces the cost of the network, and provides a consistent network experience.2. Compute & NetworkingThere are several compute instances types that can be customized according to your needs. It also handles monitoring your application and adjusting its capacity for maintaining a steady and predictable performance at an affordable cost. Also, setting up application scaling across multiple services for multiple resources takes a few minutes. Enhanced networking options from AWS allow achieving lower inter-instance latency and higher bandwidth. 3. StorageWhen looking for an HPC solution, you need to consider the storage options and cost. There are several flexible blocks, object, and file storage options in AWS services that allow permanent and transient data storage. It allows allocating storage volumes according to the size you need. You can store and access and data type over the cloud without doing a data migration project. Also, with AWS services, you can transfer your workload to the cloud from on-premises.4. Automation and OrchestrationFor using the infrastructure efficiently, you need to automate scheduling submitted jobs and the job submission process. AWS services allow you to run thousands of batch computing jobs through the dynamic provision of the computer resources on the basis of the requirements.5. Operations and ManagementAs a system administrator, you are responsible for avoiding cost overruns and monitoring the infrastructure. There are several management and monitoring services that allow you to optimize utilization of resources, monitor the application, get a complete view of operational health, and respond to the performance changes.6. VisualizationWith the AWS services, you can easily visualize the engineering simulations’ results without moving huge amounts of data. Now, you can access the interactive applications remotely over a standard network and deliver application sessions to any workstation.7. Security and ComplianceFor running applications on the cloud, you need to have an understanding of regulatory compliance and security management. There are several quick-launch templates and security related services offered by AWS that helps in protecting data and customer privacy by putting strong safeguards in the AWS infrastructure.AWS ServicesAmazon Web Services offer the following services for various computing purposes:Hosting a web siteSocial networkingAcademic computingSharing mediaHosting applicationsBackup, storage, and disaster recoveryMedia distribution and content deliveryDeveloping and testing environmentsSearch enginesWant to know about certifications offered by Amazon? We have listed some of the best AWS Certifications in detail for you.What are AWS Products: Here is a list of products from AWS:1. For computingAmazon Elastic Compute Cloud (EC2) provides compute capacity through virtual servers known as instances. These instances are of different sizes and capacities that are customized according to your application and workload, like accelerated-computing or memory-intensive jobs.There is also an auto-scaling tool used for dynamically scaling capacity to maintain performance and health.The EC2 Container Registry and Amazon EC2 Container Service are used for enabling customers to work with images and Docker containers on the AWS platform.AWS Lambda is used for carrying out serverless functions that can run services and applications automatically.There is also AWS Batch that processes jobs and Amazon Lightsail that offers private, virtual servers.2. For storageThe Amazon Simple Storage Service or S3 is used for providing scalable object storage for backup, analytics, and archival. The data and files are stored as S3 objects inside the S3 bucket that can be as large as 5 GB.The Infrequent Access storage tier and Amazon Glacier are services of S3 that can be used as long-term cold storage at an affordable cost.The Amazon Elastic Block Store is used for providing block-level storage to persistent data that is used with EC2 instances.For managed file storage based on cloud, you can use the Amazon Elastic File System.There are several transport devices like AWS Snowmobile and Snowball that can be used for transferring data to the cloud.You can even allow the on-premise apps access to the cloud data through the AWS Storage Gateway.3. For data managementThrough its Amazon Relational Database service, AWS is able to provide managed database services. In this, there are options for SQL Server, Oracle, MariaDB, MySQL, PostgreSQL, and Amazon Aurora.It also offers NoSQL databases with the help of Amazon DynamoDB.If you want to use in-memory data caches for your real-time applications, you can try Amazon DynamoDB and ElastiCache.Amazon Redshift is a data warehouse that makes performing business intelligence tasks easy for data analysts.4. For MigrationIf you want to migrate data, servers, databases, or entire application on the cloud, AWS offers several tools and services to do so. For monitoring and managing migrations to the cloud from on-premises, you can use the AWS Migration Hub.Once your data or application is in the cloud, the EC2 Systems Manager helps in configuring AWS instances and on-premises servers.For easing the hybrid cloud deployments, Amazon has partnered with different technology vendors. For example, Red Hat Enterprise Linux allows extending the operating system of the Red Hat to the AWS cloud.Similarly, VMware Cloud is responsible for bringing data center technology that is software-defined to the AWS cloud.5. For NetworkingTo gain administrative control on the virtual network for using an isolated section of the cloud, Amazon Virtual Private Cloud (VPC) can be used. In a VPC, for extra protection, new resources are automatically provisioned. With load balancing tools offered by AWS like Network Load Balancer and Application Load Balancer, network traffic can be balanced.Also, you can route end users to the application with the help of Amazon Route 53, a domain name system.Via an AWS Direct Connect, you can establish a connection from the AWS cloud to the on-premises data center.6. For DevelopmentThe AWS software development kits (SDKs) and command-line tools are used for deploying and managing services and applications.Tools like Powershell are used for managing cloud services from a Windows environment.For simulating an AWS environment and testing Lambda functions, you can use the AWS Serverless Application Model. There are different SDKs available for different programming languages and platforms like Python, PHP, Java, Ruby, Node.js, C++, iOS, and Android.The development team creates, manages, and monitors custom APIs through Amazon API Gateway that allows the applications to access functionality and data from back-end services. It is also used for managing thousands of API calls simultaneously.The Amazon Elastic Transcoder is used as a media transcoding service and AWS Step Functions are used for visualizing workflows in applications based on micro-services.To evaluate the performance of such applications, AWS X-Ray is used.For creating continuous delivery and continuous integration pipeline, the development team can use services like AWS CodeDeploy, AWS CodePipeline, AWS CodeStar, and AWS CodeBuild.With the help of AWS CodeCommit, you will be able to store code in Git repositories.  7. For ManagementWith services like AWS Config and AWS Config rules, managing and tracking of cloud resources configuration are done.When used with AWS Trusted Advisor, the team can avoid expensively and improperly configured cloud resource deployments.There are several tools for automation as well. For example, for automating system and infrastructure configurations, you can use Chef and AWS OpsWorks.For automating the provisioning of infrastructure, you can use the AWS CloudFormation templates. AWS Personal Health Dashboard and Amazon CloudWatch are used for monitoring resources and health of the application.To retain API calls and user activity for auditing, AWS CloudTrail is used.8. For SecurityFor Cloud Security, there is a range of services offered by AWS like the AWS Identity and Access Management (IAM) that allows defining and managing resources for user access.The admin can also use the Amazon Cloud Directory for creating a user directory or connect the Microsoft Active Directory to the cloud resources through AWS Directory Service.There are tools available that can assess the potential risks of security automatically. The AWS environment is analyzed for vulnerabilities that can affect compliance and security using the Amazon Inspector.Amazon Macie is used for protecting sensitive cloud data through machine learning technology.There are also several services and tools that offer encryption, protection against DDoS attacks, filtering harmful traffic, and provisioning Transport Layer and Secure Socket Layer Security certificates.9. For Big dataAmazon Elastic MapReduce is responsible for processing a large amount of data through the Hadoop framework.For processing and analyzing streaming data, you can use Amazon Kinesis.You can handle extraction, transformation, and loading jobs with the help of AWS Glue.The team can perform log analysis and application monitoring through Amazon Elasticsearch Service.You can query the data using Amazon Athena for S3 and then, use Amazon QuickSight for visualizing data.10. For Artificial IntelligenceThere are several services available for AI-based applications and AI model development and delivery platforms. The Amazon AI suite of tools has Amazon Polly for text-to-speech translation, Amazon Lex for voice, and Amazon Rekognition for image and facial recognition.Developers can use AWS services for building smart apps that rely on complex algorithms and machine learning technology. For creating and training custom AI models with compute-optimized instances and clusters of GPUs, you can use AWS Deep Learning AMIs.For MXNet and TensorFlow, there are deep learning development frameworks offered by AWS.Also, the Alexa Skills Kit is used for creating voice-based apps for Echo devices. 11. For Mobile DevelopmentFor mobile developers, AWS offers Mobile Hub that contains AWS Mobile SDK that can provide libraries and code samples.Amazon Cognito is used for managing user access to mobile apps.For sending push notifications to end-users and analyzing the effect of those communications, Amazon Pinpoint is used.12. For MessagesThe messaging service provided by AWS offers core communication for application and the users. For sending, receiving, and storing messages between different components of the distributed applications, a managed message queue is used named Amazon Simple Queue Service. This ensures that all parts of the application are working as intended.The Simple Notification Service (SNS) of Amazon allows a business to send pub-sub messages to end-users or services. This also has a mobile messaging feature used for pushing messages to mobile devices.For sending and receiving mails between the marketers and IT professionals, Amazon Simple Email Service is used.13. For other servicesSaaS options are used for business productivity. Amazon enables text-based chats and online calls and video meetings through Amazon Chime service.Amazon WorkDocs are used to store and share service.Amazon WorkMail is a mail service for business purposes with calendaring features.For streaming and desktop application services, Amazon WorkSpaces is used.Amazon AppStream allows streaming of a desktop application to the web browser of the end user from the AWS.For Internet of Things (IoT) deployments, there are several services offered by AWS. For managing IoT devices and ingesting data into storage and database services, AWS IoT service is used.AWS Greengrass is used for bringing AWS compute capabilities to the IoT devices.

What Is Amazon Web Services(AWS): Its Uses and Services

8K
  • by Joydip Kumar
  • 30th Aug, 2019
  • Last updated on 11th Mar, 2021
  • 10 mins read
What Is Amazon Web Services(AWS): Its Uses and Services

AWS or the Amazon Web Services is Amazon’s cloud computing platform that offers a mix of packaged software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In 2006, Amazon launched AWS from its internal infrastructure that was used for handling online retail operations. It was one of the first companies to provide users with computing, throughput, and storage as needed on the basis of pay-as-you-go cloud computing model.

There are several availability zones (AZs) present in regions across the world with data centers. An AZ is a location with multiple physical data centers. A collection of AZs connected by network links with low latency is termed as a region. As an AWS customer, you will be setting up virtual machines and replicating data in different AZs. This helps in building a reliable infrastructure resistant to failure of servers or the data center.

What are AWS uses:AWS Uses

Currently, AWS is powering much of the infrastructure of the internet. The platform contains everything that you might need for your small, mid-sized or large corporation. Here are a few business advantages of using AWS:

1. Simple Storage Service

Amazon AWS provides S3 or Simple Storage Service that can be used for sharing large files or small files to large audiences online. Depending on the web server type that you are using, you can quickly run out of resources as sharing huge volumes of data online is very expensive. AWS provides cloud storage for your use that offers scalability for file sharing.

2. Simple Email Service

When you want to send emails to thousands of customers, you can’t just use an email service like Outlook or Gmail. Even if somehow you manage to send out the emails, email providers like Yahoo and Gmail will treat them as spam messages. Simple Email Service of Amazon is able to handle such transactional emails at an affordable cost.

3. CloudFront

Web data is transferred from a central server to an edge server’s distributed network which is closer to the location of the end-user. This task is performed by the Content Delivery Network or CDN. This distributes the website traffic loads better, improving the load times and providing a better experience for the end-user. Large CDNs are expensive. Amazon’s CDN service, CloudFront manages to bring everything under a single room and with no limit to its scalability.

4. Website hosting

AWS offers the advantage of not worrying about exceeding the allocated usage of resources. Hosting a website on AWS might not be a one-click installation but its scalability makes it perfect for hosting different websites.

5. File sharing system

Normally, in a large company, one central drive is used by all the computers for storing and sharing files with other members of the team. AWS offers a file-sharing system that is best suited for an organization with employees around the world. Once you set everything up, it works on scale forever. You will never run out of drive space and you will have access to the files from anywhere in the world.

Here are some other advantages of incorporating AWS in your business:

  • It allows the organizations usage of familiar operating systems, architectures, databases, and programming models.
  • There are no long-term commitments or up-front payment. You only pay for what you use which makes it a very cost-effective service.
  • You don’t have to spend a single penny to run and maintain data centers
  • With AWS services, you can enjoy faster deployments.
  • Adding or removing capacity is very easy.
  • You can quickly get access to the cloud with limitless activity.
  • Compared to private servers, the cost of ownership is low.
  • AWS services have hybrid capabilities.
  • It offers centralized management and billing.
  • Deployment of applications in several regions across the world is possible with just a few clicks.

What are AWS Components

1. Data Management and Data Transfer

To run HPC applications in the AWS cloud, you need to move the required data into the cloud. There are several data transport solutions designed to securely transfer huge amounts of data. This overcomes issues like a long time for transfer, high network costs, and security concerns. Also, you can automate the movement of data between the AWS cloud and on-premises storage. There are options for establishing a private connection to the AWS from your premises. This increases bandwidth to provide more throughput, reduces the cost of the network, and provides a consistent network experience.

2. Compute & Networking

There are several compute instances types that can be customized according to your needs. It also handles monitoring your application and adjusting its capacity for maintaining a steady and predictable performance at an affordable cost. Also, setting up application scaling across multiple services for multiple resources takes a few minutes. Enhanced networking options from AWS allow achieving lower inter-instance latency and higher bandwidth. 

3. Storage

When looking for an HPC solution, you need to consider the storage options and cost. There are several flexible blocks, object, and file storage options in AWS services that allow permanent and transient data storage. It allows allocating storage volumes according to the size you need. You can store and access and data type over the cloud without doing a data migration project. Also, with AWS services, you can transfer your workload to the cloud from on-premises.

4. Automation and Orchestration

For using the infrastructure efficiently, you need to automate scheduling submitted jobs and the job submission process. AWS services allow you to run thousands of batch computing jobs through the dynamic provision of the computer resources on the basis of the requirements.

5. Operations and Management

As a system administrator, you are responsible for avoiding cost overruns and monitoring the infrastructure. There are several management and monitoring services that allow you to optimize utilization of resources, monitor the application, get a complete view of operational health, and respond to the performance changes.

6. Visualization

With the AWS services, you can easily visualize the engineering simulations’ results without moving huge amounts of data. Now, you can access the interactive applications remotely over a standard network and deliver application sessions to any workstation.

7. Security and Compliance

For running applications on the cloud, you need to have an understanding of regulatory compliance and security management. There are several quick-launch templates and security related services offered by AWS that helps in protecting data and customer privacy by putting strong safeguards in the AWS infrastructure.

AWS ServicesAWS Services

Amazon Web Services offer the following services for various computing purposes:

  • Hosting a web site
  • Social networking
  • Academic computing
  • Sharing media
  • Hosting applications
  • Backup, storage, and disaster recovery
  • Media distribution and content delivery
  • Developing and testing environments
  • Search engines

Want to know about certifications offered by Amazon? We have listed some of the best AWS Certifications in detail for you.

What are AWS Products:

 Here is a list of products from AWS:

1. For computing

  • Amazon Elastic Compute Cloud (EC2) provides compute capacity through virtual servers known as instances. These instances are of different sizes and capacities that are customized according to your application and workload, like accelerated-computing or memory-intensive jobs.
  • There is also an auto-scaling tool used for dynamically scaling capacity to maintain performance and health.
  • The EC2 Container Registry and Amazon EC2 Container Service are used for enabling customers to work with images and Docker containers on the AWS platform.
  • AWS Lambda is used for carrying out serverless functions that can run services and applications automatically.
  • There is also AWS Batch that processes jobs and Amazon Lightsail that offers private, virtual servers.

2. For storage

  • The Amazon Simple Storage Service or S3 is used for providing scalable object storage for backup, analytics, and archival. The data and files are stored as S3 objects inside the S3 bucket that can be as large as 5 GB.
  • The Infrequent Access storage tier and Amazon Glacier are services of S3 that can be used as long-term cold storage at an affordable cost.
  • The Amazon Elastic Block Store is used for providing block-level storage to persistent data that is used with EC2 instances.
  • For managed file storage based on cloud, you can use the Amazon Elastic File System.
  • There are several transport devices like AWS Snowmobile and Snowball that can be used for transferring data to the cloud.
  • You can even allow the on-premise apps access to the cloud data through the AWS Storage Gateway.

3. For data management

  • Through its Amazon Relational Database service, AWS is able to provide managed database services. In this, there are options for SQL Server, Oracle, MariaDB, MySQL, PostgreSQL, and Amazon Aurora.
  • It also offers NoSQL databases with the help of Amazon DynamoDB.
  • If you want to use in-memory data caches for your real-time applications, you can try Amazon DynamoDB and ElastiCache.
  • Amazon Redshift is a data warehouse that makes performing business intelligence tasks easy for data analysts.

4. For Migration

  • If you want to migrate data, servers, databases, or entire application on the cloud, AWS offers several tools and services to do so. For monitoring and managing migrations to the cloud from on-premises, you can use the AWS Migration Hub.
  • Once your data or application is in the cloud, the EC2 Systems Manager helps in configuring AWS instances and on-premises servers.
  • For easing the hybrid cloud deployments, Amazon has partnered with different technology vendors. For example, Red Hat Enterprise Linux allows extending the operating system of the Red Hat to the AWS cloud.
  • Similarly, VMware Cloud is responsible for bringing data center technology that is software-defined to the AWS cloud.

5. For Networking

  • To gain administrative control on the virtual network for using an isolated section of the cloud, Amazon Virtual Private Cloud (VPC) can be used. In a VPC, for extra protection, new resources are automatically provisioned. 
  • With load balancing tools offered by AWS like Network Load Balancer and Application Load Balancer, network traffic can be balanced.
  • Also, you can route end users to the application with the help of Amazon Route 53, a domain name system.
  • Via an AWS Direct Connect, you can establish a connection from the AWS cloud to the on-premises data center.

6. For Development

  • The AWS software development kits (SDKs) and command-line tools are used for deploying and managing services and applications.
  • Tools like Powershell are used for managing cloud services from a Windows environment.
  • For simulating an AWS environment and testing Lambda functions, you can use the AWS Serverless Application Model. 
  • There are different SDKs available for different programming languages and platforms like Python, PHP, Java, Ruby, Node.js, C++, iOS, and Android.
  • The development team creates, manages, and monitors custom APIs through Amazon API Gateway that allows the applications to access functionality and data from back-end services. It is also used for managing thousands of API calls simultaneously.
  • The Amazon Elastic Transcoder is used as a media transcoding service and AWS Step Functions are used for visualizing workflows in applications based on micro-services.
  • To evaluate the performance of such applications, AWS X-Ray is used.
  • For creating continuous delivery and continuous integration pipeline, the development team can use services like AWS CodeDeploy, AWS CodePipeline, AWS CodeStar, and AWS CodeBuild.
  • With the help of AWS CodeCommit, you will be able to store code in Git repositories.  

7. For Management

  • With services like AWS Config and AWS Config rules, managing and tracking of cloud resources configuration are done.
  • When used with AWS Trusted Advisor, the team can avoid expensively and improperly configured cloud resource deployments.
  • There are several tools for automation as well. For example, for automating system and infrastructure configurations, you can use Chef and AWS OpsWorks.
  • For automating the provisioning of infrastructure, you can use the AWS CloudFormation templates. 
  • AWS Personal Health Dashboard and Amazon CloudWatch are used for monitoring resources and health of the application.
  • To retain API calls and user activity for auditing, AWS CloudTrail is used.

8. For Security

  • For Cloud Security, there is a range of services offered by AWS like the AWS Identity and Access Management (IAM) that allows defining and managing resources for user access.
  • The admin can also use the Amazon Cloud Directory for creating a user directory or connect the Microsoft Active Directory to the cloud resources through AWS Directory Service.
  • There are tools available that can assess the potential risks of security automatically. The AWS environment is analyzed for vulnerabilities that can affect compliance and security using the Amazon Inspector.
  • Amazon Macie is used for protecting sensitive cloud data through machine learning technology.
  • There are also several services and tools that offer encryption, protection against DDoS attacks, filtering harmful traffic, and provisioning Transport Layer and Secure Socket Layer Security certificates.

9. For Big data

  • Amazon Elastic MapReduce is responsible for processing a large amount of data through the Hadoop framework.
  • For processing and analyzing streaming data, you can use Amazon Kinesis.
  • You can handle extraction, transformation, and loading jobs with the help of AWS Glue.
  • The team can perform log analysis and application monitoring through Amazon Elasticsearch Service.
  • You can query the data using Amazon Athena for S3 and then, use Amazon QuickSight for visualizing data.

10. For Artificial Intelligence

  • There are several services available for AI-based applications and AI model development and delivery platforms. The Amazon AI suite of tools has Amazon Polly for text-to-speech translation, Amazon Lex for voice, and Amazon Rekognition for image and facial recognition.
  • Developers can use AWS services for building smart apps that rely on complex algorithms and machine learning technology. For creating and training custom AI models with compute-optimized instances and clusters of GPUs, you can use AWS Deep Learning AMIs.
  • For MXNet and TensorFlow, there are deep learning development frameworks offered by AWS.
  • Also, the Alexa Skills Kit is used for creating voice-based apps for Echo devices. 

11. For Mobile Development

  • For mobile developers, AWS offers Mobile Hub that contains AWS Mobile SDK that can provide libraries and code samples.
  • Amazon Cognito is used for managing user access to mobile apps.
  • For sending push notifications to end-users and analyzing the effect of those communications, Amazon Pinpoint is used.

12. For Messages

  • The messaging service provided by AWS offers core communication for application and the users. For sending, receiving, and storing messages between different components of the distributed applications, a managed message queue is used named Amazon Simple Queue Service. This ensures that all parts of the application are working as intended.
  • The Simple Notification Service (SNS) of Amazon allows a business to send pub-sub messages to end-users or services. This also has a mobile messaging feature used for pushing messages to mobile devices.
  • For sending and receiving mails between the marketers and IT professionals, Amazon Simple Email Service is used.

13. For other services

  • SaaS options are used for business productivity. Amazon enables text-based chats and online calls and video meetings through Amazon Chime service.
  • Amazon WorkDocs are used to store and share service.
  • Amazon WorkMail is a mail service for business purposes with calendaring features.
  • For streaming and desktop application services, Amazon WorkSpaces is used.
  • Amazon AppStream allows streaming of a desktop application to the web browser of the end user from the AWS.
  • For Internet of Things (IoT) deployments, there are several services offered by AWS. For managing IoT devices and ingesting data into storage and database services, AWS IoT service is used.
  • AWS Greengrass is used for bringing AWS compute capabilities to the IoT devices.
Joydip

Joydip Kumar

Solution Architect

Joydip is passionate about building cloud-based applications and has been providing solutions to various multinational clients. Being a java programmer and an AWS certified cloud architect, he loves to design, develop, and integrate solutions. Amidst his busy work schedule, Joydip loves to spend time on writing blogs and contributing to the opensource community.


Website : https://geeks18.com/

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Innovation with Lean Startup and Lean UXRather than creating an entire project plan up-front, SAFe® teams focus on features. They create a hypothesis about what a new feature will deliver and then use an iterative approach to develop and test their hypothesis along the way. As teams move forward through development, they perform this development and test approach repeatedly and adjust as needed, based on feedback. Teams also work closely with end users to identify the Minimum Viable Product (MVP) to focus on first. They identify what will be most valuable to the customer most immediately. Then they rely on feedback and learning as they develop the solution incrementally. They adjust as needed to incorporate what they’ve learned into the features. This collaboration and fast feedback and adjustment cycle result in a more successful product.  C. Scalable DevOps & Continuous DeliveryThe addition of a greater focus on DevOps allows teams to innovate faster. Like Agile, DevOps is a mindset. And like Agile, it allows teams to learn, adjust, and deliver value to users incrementally. The continuous delivery pipeline allows teams to move value through the pipeline faster through continuous exploration, continuous integration, continuous deployment, and released on demand. DevOps breaks down silos and supports Agile teams to work together more seamlessly. This results in more efficient delivery of value to the end users faster. It’s a perfect complement to Scaled Agile.D. Implementation RoadmapSAFe® now offers a suggested roadmap to SAFe® adoption. While change can be challenging, the implementation roadmap provides guidance that can help with that organizational change.Critical Role of the SAFe® Program ConsultantSAFe® Program Consultants, or SPCs, are critical change agents in the transition to Scaled Agile.Because of the depth of knowledge required to gain SPC certification, they’re perfectly positioned to help the organization move through challenges of change.They can train and coach all levels of SAFe® participants, from team members to executive leaders. They can also train the Scrum Master, Product Owners, and Agile Release Train Engineers, which are critical roles in SAFe®.The SPC can also train teams and help them launch their Agile Release Trains (ARTs).And they can support teams on the path to continued improvement as they continue to learn and grow.The SPC can also help identify value streams in the organization that may be ready to launch Agile Release Trains.The can also help develop rollout plans for SAFe® in the enterprise.Along with this, they can provide important communications that help the enterprise understand the drivers and value behind the SAFe® transition.       How SAFe® 4.5 is backward compatible with SAFe® 4.0?Even if your organization has already adopted SAFe® 4.0, SAFe® 4.5 has been developed in a way that can be easily adopted without disruption. Your organization can adopt the changes at the pace that works best.Few Updates in the new courseware The courseware for SAFe® 4.5 has incorporated changes to support the changes in SAFe® 4.5.They include Implementing SAFe®, Leading SAFe®, and SAFe® for Teams.Some of the changes you’ll see are as follows:Two new lessons for Leading SAFe®Student workbookTrainer GuideNew look and feelUpdated LPM contentSmoother lesson flowNEW Course Delivery Enablement (CDE) Changes were made to improve alignment between SAFe® and Scrum:Iteration Review: Increments previously known as Sprints now have reviews added. This allows more opportunities for teams to incorporate improvements. Additionally, a Team Demo has been added in each iteration review. This provides more opportunity for transparency, sharing, and feedback.Development Team: The Development team was specifically identified at the team level in SAFe® 4.5. The development team is made up of three to nine people who can move an element of work from development through the test. This development team contains software developers, testers, and engineers, and does not include the Product Owner and Scrum Master. Each of those roles is shown separately at the team level in SAFe® 4.5.Scrum events: The list of scrum events are shown next to the ScrumXP icon and include Plan, Execute, Review, and Retro (for a retrospective.)Combined SAFe® Foundation Elements SAFe® 4.0 had the foundational elements of Core Values, Lean-Agile Mindset, SAFe® Principles, and Implementing SAFe® at a basic level.SAFe® 4.5 adds to the foundation elements by also including Lean-Agile Leaders, the Implementation Roadmap, and the support of the SPC in the successful implementation of SAFe®.Additional changes include: Communities of Practice: This was moved to the spanning palette to show support at all levels: team, program, large solution, and portfolio.Lean-Agile Leaders: This role is now included in the foundational level. Supportive leadership is critical to a successful SAFe® adoption.SAFe® Program Consultant: This role was added to the Foundational Layer. The SPC can play a key leadership role in a successful transition to Scaled Agile.Implementation Roadmap: The implementation roadmap replaces the basic implementation information in SAFe® 4.0. It provides more in-depth information on the elements to a successful enterprise transition to SAFe®.Benefits of upgrading to SAFe® 4.5With the addition of Lean Startup approaches, along with a deeper focus on DevOps and Continuous Delivery, teams will be situated to deliver quality and value to users more quickly.With improvements at the Portfolio level, teams get more guidance on Portfolio governance and other portfolio levels concerns, such as budgeting and compliance.  Reasons to Upgrade to SAFe® 4.5 Enterprises who’ve been using SAFe® 4.0 will find greater flexibility with the added levels in SAFe® 4.5. Smaller groups in the enterprise can use the team level, while groups working on more complex initiatives can create Agile Release Trains with many teams.Your teams can innovate faster by using the Lean Startup Approach. Work with end users to identify the Minimum Viable Product (MVP), then iterate as you get fast feedback and adjust. This also makes your customer more of a partner in development, resulting in better collaboration and a better end product.Get features and value to your user community faster with DevOps and the Continuous Delivery pipeline. Your teams can continuously hypothesize, build, measure, and learn to continuously release value. This also allows large organizations to innovate more quickly.Most Recent Changes in SAFe® series - SAFe® 4.6Because Scaled Agile continues to improve, new changes have been incorporated with SAFe® 4.6. with the addition of five core competencies that enable enterprises to respond to technology and market changes.Lean Portfolio Management: The information needed for how to use a Lean-Agile approach to portfolio strategy, funding, and governance.Business Solutions and Lean Systems: Optimizing activities to Implement large, complex initiatives using a Scaled Agile approach while still addressing the necessary activities such as designing, testing, deployment, and even retiring old solutions.DevOps and Release on Demand: The skills needed to release value as needed through a continuous delivery pipeline.Team and Technical Agility: The skills needed to establish successful teams who consistently deliver value and quality to meet customer needs.Lean-Agile Leadership: How leadership enables a successful agile transformation by supporting empowered teams in implementing agile practices. Leaders carry out the Agile principles and practices and ensure teams have the support they need to succeedSAFe® Agilist (SA) Certification exam: The SAFe® Agilist certification is for the change leaders in an organization to learn about the SAFe® practices to support change at all levels: team, program, and portfolio levels. These change agents can play a positive role in an enterprise transition to SAFe®.In order to become certified as a SAFe® Agilist (SA), you must first take the Leading SAFe® class and pass the SAFe® certification exam. To learn more about this, see this article on How To Pass Leading SAFe® 4.5 Exam.SAFe® Certification Exam: KnowledgeHut provides Leading SAFe® training in multiple locations. Check the site for locations and dates.SAFe® Agile Certification Cost: Check KnowledgeHut’s scheduled training offerings to see the course cost. Each course includes the opportunity to sit for the exam included in the cost.Scaled Agile Framework Certification Cost: There are multiple levels of SAFe® certification, including Scrum Master, Release Train Engineer, and Product Owner. Courses range in cost, but each includes the chance to sit for the corresponding SAFe® certification.SAFe® Classes: SAFe® classes are offered by various organizations. To see if KnowledgeHut is offering SAFe® Training near you, check the SAFe® training schedule on our website.TrainingKnowledgeHut provides multiple Scaled Agile courses to give both leaders and team members in your organization the information they need to for a successful transition to Scaled Agile. Check the site for the list of classes to find those that are right for your organization as you make the journey.All course fees cover examination costs for certification.SAFe® 4.5 Scrum Master with SSM Certification TrainingLearn the core competencies of implementing Agile across the enterprise, along with how to lead high-performing teams to deliver successful solutions. You’ll also learn how to implement DevOps practices. Completion of this course will prepare you for obtaining your SAFe® 4 Scrum Master certificate.SAFe® 4 Advanced Scrum Master (SASM)This two-day course teaches you to how to apply Scrum at the enterprise level and prepares you to lead high-performing teams in a Scaled Agile environment. At course completion, you’ll be prepared to manage interactions not only on your team but also across teams and with stakeholders. You’ll also be prepared to take the SAFe® Advanced Scrum Master exam.Leading SAFe®4.5 Training Course (SA)This two-day Leading SAFe® class prepares you to become a Certified SAFe® 4 Agilist, ready to lead the agile transformation in your enterprise.  By the end of this course, you’ll be able to take the SAFe® Agilist (SA) certification exam.SAFe® 4.5 for Teams (SP) This two-day course teaches Scrum fundamentals, principles tools, and processes. You’ll learn about software engineering practices needed to scale agile and deliver quality solutions in a Scaled Agile environment. Teams new to Scaled Agile will find value in going through this course. Attending the class prepares you for the certification exam to become a certified SAFe® 4 Practitioner (SP). DevOps Foundation Certification trainingThis course teaches you the DevOps framework, along with the practices to prepare you to apply the principles in your work environment. Completion of this course will prepare you also to take the DevOps Foundation exam for certification.
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A Glimpse Of The Major Leading SAFe® Versions

A Quick view of SAFe® Agile has gained popularit... Read More

How Start Ups Can Benefit From Cloud Computing?

From nebulous beginnings, the cloud has grown to a platform that has gained universal acceptance and is transforming businesses across industries. Companies that have adopted cloud technology have seen significant payoffs, with cloud based tools redefining their data storage, data sharing, marketing and project management capabilities. The easy availability of affordable cloud infrastructure has made it so easy to set up new businesses that the economy is all set for a start up boom which has its head, so to speak, in the cloud! With the advent of this new technology, complete newbie’s in the market are able to hold their own against established market players—by achieving an amazing quantum of work using skeleton manpower resources. Recently, a popular ad doing the rounds on TV showed a long haired youth conducting business from a cafe on his HP Pavilion laptop, where he is ridiculed by some well heeled middle aged businessmen on their coffee break. Back at their office, they find that this youngster is the new investor that their boss has been heaping accolades on. “Where’s your office?” one of them asks the young man…to be laughingly told that he carries his entire office in his laptop! And that, typically, is how the new-age start up business looks. We have heard many stories of how a clever idea has turned a tidy profit for a smart entrepreneur working out of his laptop. While cloud computing is pushing the boundaries of science and innovation into a new realm, it is also laying the foundation for a new wave of business start ups. New ventures in general suffer from a lack of infrastructure, manpower and funding…and all these three concerns are categorically addressed by the cloud. Moving to the cloud minimizes the need of huge capital investments to set up expensive infrastructure. For nascent entrepreneurs, physical hardware and server costs used to be formidable given the limited budgets at their disposal. Seed money was also required to hire office space, promote the business and hire workers. Today, thanks to cloud technology, getting a new business off the ground and running costs virtually nothing. Most of the resources and tools that new ventures need are available on the cloud at minimal costs, in fact quite often at zero costs, making this a powerful value proposition for small businesses. A cloud hosting provider such as AWS can enable you to go live immediately, and will even scale up to your requirement once your business expands. Small businesses can think and dream big with the cloud. When it comes to manpower resources, it takes just a handful of people to work wonders using the online resources that are at their disposal. If you have a brilliant idea and have a workable plan for execution, you can comfortably compete neck to neck with market leaders. The messaging sensation WhatsApp was started in 2009 by just two former Yahoo employees who leveraged the power of the internet – and this goes to show that clever use of technology can completely eliminate the need for a sizeable manpower pool. Start ups have always been more agile than their large scale counterparts, and the cloud helps them take this a step further. Resources can be scaled up or down in no time, whereas in traditional environments it would have taken many days, considerable planning and funds to add hardware and software. Cloud computing also helps improve collaboration across teams, often across geographies. Data sharing is instantaneous, and teams can work on a task together in real time regardless of their location. Powered by the cloud, small businesses operate with shoestring budgets and key players in different continents. All their accounting, client data, marketing and other business critical files can be stored online and are accessible from anywhere. These online tools can be accessed and utilised instantly, and underpin all the crucial processes on which these businesses thrive. Strategic financial decisions are made after garnering insights from cloud-based accounting software. E-invoicing helps settle bills in a fraction of the time of traditional billing systems, and client queries are answered quickly through cloud-based management systems—saving precious time and increasing customer satisfaction levels to an all-time high. Whether at home, on vacation or on the phone, businesses can oversee sales, replenish products and plan new sales strategies. That’s a whole new way of doing business, and seems to be very successful! An estimate by Cloudworks has put the anticipated cloud computing market at over $200 billion by the year 2018. As Jeff Weiner, CEO of LinkedIn, succinctly put it, the cloud “makes it easier and cheaper than ever for anyone anywhere to be an entrepreneur and to have access to all the best infrastructure of innovation.” With cloud technology rapidly levelling the playing field between nascent and established businesses, it is anybody’s guess as to just how many new start ups will burst into the scene in the next few years. Hoping that the blog has helped you gain a clear understanding of the importance of Cloud Computing.  To gain more knowledge on what cloud computing has to offer, take a look at other blogs as well as the AWS certifications that we have to offer or enrol yourself for the AWS Certification Training course by KnowledgeHut.  
How Start Ups Can Benefit From Cloud Computing?

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Business Transformation through Enterprise Cloud Computing

The Cloud Best Practices Network is an industry solutions groups and best practices catalogue of how-to information for Cloud Computing. While we cover all aspects of the technology our primary goal is to explain the enabling relationship between this new IT trend and business transformation, where our materials include: Core Competencies – The mix of new skills and technologies required to successfully implement new Cloud-based IT applications. Reference Documents – The core articles that define what Cloud Computing is and what the best practices are for implementation, predominately referring to the NIST schedule of information. Case studies – Best practices derived from analysis of pioneer adopters, such as the State of Michigan and their ‘MiCloud‘ framework . Read this article ‘Make MiCloud Your Cloud‘ as an introduction to the Cloud & business transformation capability. e-Guides – These package up collections of best practice resources directed towards a particular topic or industry. For example our GovCloud.info site specializes in Cloud Computing for the public sector. White papers – Educational documents from vendors and other experts, such as the IT Value mapping paper from VMware. Core competencies The mix of new skills and technologies required to successfully implement new Cloud-based IT applications, and also the new capabilities that these platforms make possible: Virtualization Cloud Identity and Security – Cloud Privacy Cloud 2.0 Cloud Configuration Management Cloud Migration Management DevOps Cloud BCP ITaaS Procurement Cloud Identity and Security Cloud Identity and Security best practices (CloudIDSec) provides a comprehensive framework for ensuring the safe and compliant use of Cloud systems. This is achieved through combining a focus on the core references for Cloud Security, the Cloud Security Alliance, with those of Cloud Identity best practices: IDaaS – Identity Management 2.0 Federated Identity Ecosystems Cloud Privacy A common critcal focus area for Cloud computing is data privacy, particularly with regards to the international aspects of Cloud hosting. Cloud Privacy refers to the combination of technologies and legal frameworks to ensure privacy of personal information held in Cloud systems, and a ‘Cloud Privacy-by-Design’ process can then be used to identify the local legislated privacy requirements of information. Tools for designing these types of privacy controls have been developed by global privacy experts, such as Ann Cavoukian, the current Privacy Commissioner for Ontario, who provides tools to design and build these federated privacy systems. The Privacy by Design Cloud Computing Architecture (26-page PDF) document provides a base reference for how to combine traditional PIAs (Privacy Impact Assessments) with Cloud Computing. As this Privacy Framework presentation then explains these regulatory mechanisms that Kantara enables can then provide the foundations for securing the information in a manner that encompasses all the legacy, privacy and technical requirements needed to ensure it is suitable for e-Government scenarios. This then enables it to achieve compliance with the Cloud Privacy recommendations put forward by global privacy experts, such as Ann Cavoukian, the current Privacy Commissioner for Ontario, who stipulates a range of ‘Cloud Privacy By Design‘ best practices Cloud 2.0 Cloud is as much a business model as it is a technology, and this model is best described through the term ‘Cloud 2.0′. As the saying goes a picture tells a thousand words, and as described by this one Cloud 2.0 represents the intersection between social media, Cloud computing and Crowdsourcing. The Social Cloud In short it marries the emergent new online world of Twitter, Linkedin et al, and the technologies that are powering them, with the traditional, back-end world of mainframe systems, mini-computers and all other shapes and sizes of legacy data-centre. “Socializing” these applications means moving them ‘into the Cloud’, in the sense of connecting them into this social data world, as much as it does means virtualizing the application to run on new hardware. This a simple but really powerful mix, that can act as a catalyst for an exciting new level of business process capability. It can provide a platform for modernizing business processes in a significant and highly innovative manner, a breath of fresh air that many government agency programs are crying out for. Government agencies operate many older technology platforms for many of their services, making it difficult to amend them for new ways of working and in particular connecting them to the web for self-service options. Crowdsourcing Social media encourages better collaboration between users and information, and tools for open data and back-end legacy integrations can pull the transactional systems informtion needed to make this functional and valuable. Crowdsourcing is: a distributed problem-solving and production process that involves outsourcing tasks to a network of people, also known as the crowd. Although not a component of the technologies of Cloud Computing, Crowdsourcing is a fundamental concept inherent to the success of the Cloud 2.0 model. The commercial success of migration to Cloud Computing will be amplified when there is a strong focus on the new Web 2.0 type business models that the technology is ideal for enabling. Case study – Peer to Patent One such example is the Whitehouse project the Peer to the Patent portal, a headline example of Open Government, led by one its keynote experts Beth Noveck. This project illustrates the huge potential for business transformation that Cloud 2.0 offers. It’s not just about migrating data-center apps into a Cloud provider, connecting an existing IT system to a web interface or just publishing Open Data reporting data online, but rather utilizing the nature of the web to entirely re-invent the core process itself. It’s about moving the process into the Cloud. In this 40 page Harvard white paper Beth describes how the US Patent Office was building up a huge backlog of over one million patent applications due to a ‘closed’ approach where only staff from the USPTO could review, contribute and decide upon applications. To address this bottleneck she migrated the process to an online, Open version where contributors from across multiple organizations could help move an application through the process via open participation web site features. Peer to Patent is a headline example of the power of Open Government, because it demonstrates its about far more than simply publishing reporting information online in an open manner, so that they public can inspect data like procurement spending numbers. Rather it’s about changing the core decision-making processes entirely, reinventing how Government itself works from the inside out, reinventing it from a centralized hierarchical monolith to an agile, distributed peer to peer network. In essence it transforms the process from ‘closed’ to ‘open’, in terms of who and how others can participate, utilizing the best practice of ‘Open Innovation‘ to break the gridlock that had occured due the constraints caused by private, traditional ways of working. Open Grantmaking – Sharing Cloud Best Practices Beth has subsequently advised further on how these principles can be applied in general across Government. For example in this article on her own blog she describes ‘Open Grantmaking‘ – How the Peer To Patent crowdsourcing model might be applied to the workflows for government grant applications. She touches on what is the important factor about these new models, their ability to accelerate continual improvement within organizations through repeatedly sharing and refining best practices: “In practice, this means that if a community college wins a grant to create a videogame to teach how to install solar panels, everyone will have the benefit of that knowledge. They will be able to play the game for free. In addition, anyone can translate it into Spanish or Russian or use it as the basis to create a new game to teach how to do a home energy retrofit.” Beth describes how Open Grantmaking might be utilized to improve community investing in another blog, describing how OG would enable more transparency and related improvements. Cloud 2.0 As the underlying technology Cloud 2.0 caters for both the hosting of the software and also the social media 2.0 features that enable the cross-enterprise collaboration that Beth describes. Cloud Configuration Management CCM is the best practice for change and configuration management within Cloud environments, illustrated through vendors such as Evolven. Problem Statement One of the key goals and perceived benefits of Cloud computing is a simplified IT environment, a reduction of complexity through virtualizing applications into a single overall environment. However complexity actually increases.  Virtual Machines (VMs) encapsulate application and infrastructure configurations, they package up a combination of applications and their settings, obscuring this data from traditional configuration management tools. Furthermore the ease of self-service creation of VMs results in their widespread proliferation, and so actually the adoption of Cloud technologies creates a need for a new, extra dimension of systems management. This is called CCM, and incorporates: Release & Incident Management The increased complexity therefore increases the difficulties in trouble-shooting technical problems, and thus requires an updated set of tools and also updates to best practices like the use of ITIL procedures. ‘Release into Production’ is a particularly sensitive process within software teams, as major upgrades and patches are transitioned from test to live environments. Any number of configuration-related errors could cause the move to fail, and so CCM software delivers the core competency of being better able to respond quicker to identify and resolve these issues, reducing the MTTR significantly. DevOps DevOps is a set of principles, methods and practices for communication, collaboration and integration between software development and IT operations. Through the implementation of a shared Lean adoption program and QMS (Quality Management System) the two groups can better work together to minimize downtimes while improving the speed and quality of software development. It’s therefore directly linked to Business Agility. The higher the value of speed and quality = a faster ability to react to market changes, deploy new products and processes and in general adapt the organization, achieved through increasing the frequency of ‘Release Events’: It’s therefore directly linked to Business Agility. The higher the value of speed and quality = a faster ability to react to market changes, deploy new products and processes and in general adapt the organization, achieved through increasing the frequency of ‘Release Events’: ITaaS Procurement The fundamental shift that Cloud Computing represents is illustrated in one key implementation area:   Procurement. Moving to Cloud services means changing from a financial model for technology where you buy your own hardware and software, and pay for it up front, to an approach where instead you access it as a rental, utility service where you “PAYG – Pay As You Go”. To encompass all the different ‘as a Service’ models this is known at an overall level as ‘ITaaS’ – IT as a Service. Any type of IT can be virtualized and delivered via this Service model. Towards the end, I hope that you have gained a clear understanding of How Business Transforms Through Enterprise Cloud Computing. If this article has helped you clear your fundamentals and if you wish to learn more about Cloud computing by getting certified, then you can undertake the AWS certification course offered by KnowledgeHut.
Business Transformation through Enterprise Cloud C...

The Cloud Best Practices Network is an industry ... Read More