DEV Community: Shyam Prakash Mishra

Amazon SageMaker

Shyam Prakash Mishra — Tue, 14 Mar 2023 17:03:38 +0000

What is Amazon SageMaker ?

Amazon SageMaker is a fully-managed machine learning service provided by Amazon Web Services (AWS) thats allows developers and data scientists to build, train, and deploy machine learning models at scale. It provides an integrated development environment (IDE) for building, training, and deploying machine learning models, with features such as data labeling, feature extracting, and deployment to production.

Through SageMaker, you can use popular machine learning frameworks such as TensorFlow, PyTorch, and Apache MXNet, as well as pre trained model machine learning datasets provided by Amazon, to build and train your models. Once your model is trained, SageMaker enables you to deploy it to production with a single click, making it easy to integrate with other AWS services such as Amazon EC2, and Amazon API Gateway.

SageMaker also added a range of tools for data management, preparation, visualization, and monitoring, which can provide you streamline your machine learning workflow and improve the accuracy of your models. Overall, Amazon SageMaker makes it effective and more efficient to build, train, and deploy machine learning models, helping you to grow your time-to-market and reduce the cost of machine learning development.

Amazon SageMaker pricing

Amazon SageMaker pricing is based on usage, and there are many others factors that determine the cost:

Storage: The cost of storing data in Amazon S3, Amazon EBS, or Amazon FSx for SageMaker is charged per GB per month.
Instance usage: The cost of running instances is charged hourly as well as peer second, depending on the instance type and region. The price ranges from a few cents per hour to several dollars per hour, depending on the instance type.

3. Real-time inference: The cost of your deployed model for real-time inference is charged per inference hour or per inference unit.

4. Model hosting: The cost of hosting your model for real-time inference is charged hourly or per second.

Data processing: The cost of processing data using SageMaker's built-in algorithms or your own custom algorithms is charged per hour or per second.
Training: The cost of training your model using SageMaker's built-in algorithms or your own custom algorithms is charged per hour or per second.

There are also free trials available for certain SageMaker services, which can help you get started with machine learning development at no cost. Including, SageMaker offers cost optimization tools such as automatic model tuning and spot instances, that can help reduce costs even further. At last, SageMaker pricing is flexible and scalable, making it a cost-effective solution for machine learning development at any scale.

SageMaker Studio

Amazon SageMaker Studio is a web-based integrated development environment (IDE) where developers can build, train, and deploy machine learning models in the cloud. It gives a single, visual interface for data scientists and developers to perform end-to-end machine learning workflows, from data preparation , model training to deployment and monitoring.

SageMaker Studio includes a range of pre-installed tools and frameworks for machine learning, such as JupyterLab, TensorFlow, PyTorch, and scikit-learn and many other useful libraries . It also supports custom images and allowing you to install your own software and libraries.

One of the main benefits of SageMaker Studio is its ability to manage the underlying infrastructure for you automatically, so you can focus on building and improving your models not at managing. It gives you managed instances that can be quickly spun up or down to match your workload, with automatic scaling and high availability built in.

SageMaker Studio also includes a range of collaboration and version control features, allowing many users to work together on the same project and track changes over time. It added with Amazon S3, allowing you to easily store and access your data, models, and other artifacts.

Overall, SageMaker Studio provides a powerful, scalable, agility and collaborative environment for machine learning development in the cloud.

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Amazon Web Services (AWS)

Shyam Prakash Mishra — Sun, 12 Feb 2023 14:32:12 +0000

Introduction
Amazon Web Services (AWS) is one of the most leading and best service providing cloud computing platform provided by Amazon that includes a services of infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS) and packaged-software-as-a-service (SaaS) offerings. AWS services is offering an organization tools such as compute technology, data storage, content delivery and web hosting services.

Amazon Web Services launched its first web services in 2002 from its internal infrastructure that is Amazon.com. It is built to handle its online retail operations. In 2006, it started offering its defining IaaS services. AWS was one of the first companies to introduce a pay-as-you-go cloud computing model which is beneficial for both customer as well as provider and also scales to provide users with compute power, storage or throughput as needed.

AWS provide many different tools and solutions for organizations, enterprises and developers that can be used in data centers in more than 190 countries. Organization such as government agencies, education institutions, non-profitable organizations and private organizations can use AWS services.

Availability
AWS offers services from many data centers available across 87 availability zones that is present in many regions across the world. An Availability Zone is a location that have multiple infrastructure of data centers. Region is a collection of availability zones near to that topographical area connected by low-latency network links. An organization can choose one or multiple AZs for a many reasons such as compliance, distance to end customers and availability optimization. For example, an AWS customer can create virtual machines (VMs) and circulate data in different AZs to achieve a highly reliable cloud infrastructure whose chance to failures of individual servers or an entire data center very low.

Amazon Elastic Compute Cloud (EC2) is a first service by AWS that offers virtual servers called EC2 instances for compute storage. The EC2 service provides a lots of instance types with varying capacities and sizes. These are according to specific workload types and applications, such as memory-intensive, customers customized need and accelerated computing workloads. AWS also offers Auto Scaling service, a tool to dynamically scale storage to maintain instance health and performance.

Security
AWS offers a range of services for data security on cloud, that includes AWS Identity and Access Management, which allows admins to define and manage user access to resources. An admin can create ,modify and change the user directory with Amazon Cloud Directory or with connected cloud resources to an existing Microsoft Active Directory with the AWS Directory Service. The AWS Organizations service offers a business to establish and manage policies and configuration for multiple AWS accounts.

Amazon Web Services has also developed many tools that automatically provides strong security risks management. Amazon Inspector analyzes the AWS environment for susceptibility that might effect the security and compliance. Amazon Macie use ML technology to protect and secure sensitive cloud data. AWS also includes tools and services that offers software as well as hardware based protection that protect against distributed denial-of-service (DDoS) attacks, acquire secure sockets layer and Transport Layer Security certificates and also identifies potentially harmful traffic to web services.
The AWS Management Console offers a graphical user interface as well as CLI based interface for AWS. It is used to manage resources on server and cloud storage as well as security credentials too.

Game development
AWS is also used by game developer. The game developing companies that need huge storage use AWS services for games, such as Ubisoft's ,Fortnite and many others. AWS is providing services for each part of a game's lifecycle.

For example, AWS offers developer back-end services, analytical as well as developer tools such as Amazon Lumberyard, which helps developers in making 3D games. Back-end services like Amazon Game Lift helps in building, deploying and enhancing the developer's platform as well as defending from virus and malware attacks. Analytical tools help developers to know their customers and how they play a game. It also Facilitate Developers to store data or host game data on AWS servers.

AWS provides AR and VR development tools through Babylon.js and AWS Simplify tools. Babylon.js allows users to create AR and VR applications without knowledge of coding or programming can create 3D graphics. This service also allows users to test and publish applications on servers. Babylon.js can be used in many fields such as:

gam building
sales applications
3D web applications
e-commerce
training simulations
marketing
online education system
manufacturing tools

Messages and notifications
AWS provide messaging services with core communication for users and applications. Amazon Simple Queue Service (SQS) is a tools that manage message queue for sending, storing and receiving messages between components of distributed applications to validate the parts of an application work is successful.

Amazon Simple Notification Service (SNS) allows the business to send published subscribe messages to endpoints, such as end to end users or services. SNS include mobile messaging feature that allow push messaging system in mobile devices. Amazon Simple Email Service offers a platform for IT professionals ,organizations and promoters to send and receive emails.

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What is Elastic Load Balancing (ELB) ?

Shyam Prakash Mishra — Thu, 09 Feb 2023 17:58:21 +0000

Elastic Load Balancing (ELB) is a load-balancing service provided for Amazon Web Services (AWS) deployments. In which Elastic Load Balancing automatically divide incoming application traffic and scales process to meet traffic demands by organizations. Elastic load balancing is a technique which turn on the division of incoming service requests between multiple servers, ports or nodes. It is used within organizations, company or big city and with the help of cloud computing environments to provide balanced and scalable request handling and management services. An application or software that provides these services is known as an elastic load balancer.

Elastic Load Balancing helps technical and information technology teams to adjust capacity of system according to incoming network traffic and and demands of data . Users enable Elastic Load Balancing within multiple availability zone or single availability zones to balance and maintain efficiency of application performance. Initially load balancing divides the amount of works among multiple computers so that users and organizations, get served faster. It also offers enhanced features including:

1.Distributing instances among healthy channels only.
2.Flexible and enhanced cipher support.
3.User manageable public authentication key.
4.Support for both IPv4 and IPv6 servers.
5.Centralized and focused management of Secure Sockets Layer (SSL) certificates.
6.Identification of unhealthy Elastic Compute Cloud (EC2) instances.

SECURITY
Elastic Load Balancing support applications in an Amazon Virtual Cloud for stronger and safe network security. An technical group can specify whether it wants an internet-based or internal load balancer. The other option enables a developer to set path of data through an ELB using private IP addresses. A developer can also route traffic between different types of application by using multiple internet-based or internal load balancers; this approach allows technical teams to use a security group along with private IP addresses while exposing only the web-based systems and its public IP addresses.

HIGH AVAILABILITY
One of the most well known service that depends on Elastic Load Balancing is Amazon's EC2 instances, as Elastic Load Balancing performs a health checking to ensure that an instance is continuously running before sending traffic to it. When an instance fails to send or store data or is unhealthy, it send traffic to the remaining healthy EC2 instances. If all EC2 instances in a particular availability zone are unhealthy then Elastic Load Balancing route traffic to other availability zones until the previous instances restore its healthy state.

Types of load balancers
Elastic Load Balancing have two different types of load balancer , which helps in scaling and making flexible cloud computing capacity. The Application Load Balancer helps in advanced traffic routing from other services or servers at the application level, while the Classic Load Balancer distribute applications or network traffic across EC2 instances.
Other cloud providers also offer tools for maintaining load balance workloads. Scalebased load balancer offers an ELB solution for real-time application, which makes the ability to scale the MySQL relational database management system easy (RDBMS) without requiring personal infrastructure changes or requiring services offline.

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What is Amazon OpenSearch Serverless ?

Shyam Prakash Mishra — Tue, 31 Jan 2023 07:21:08 +0000

Introduction
In this blog, we are going to know about the use case of the OpenSearch Serverless resource launched recently by AWS.

To understand OpenSearch Serverless, Let me give brief introduction on the AWS OpenSearch.
Machine-generated data is increasing exponentially everyday. Obtaining insights is crucial for the organization and institutions. For that, we require search and analytics tools that are scalable, quick, affordable and flexible.

Before diving in, it’s important to understand how Elastic Search, a third-party tool, operates the operations and process.

Elasticsearch’s search engine features, which are based on Apache Lucene which makes easy for storing unstructured data and retrieving it quickly when needed. Elasticsearch is ideal for various systems like Analytics for business data, Fraud and security detection.

AWS OpenSearch Serverless Service
AWS OpenSearch service is a fully managed service that automatically install, configure, and provide security petabyte-scaled workloads on dedicated OpenSearch clusters as it is auto manageable.

Storage Custer has full control over its cluster configurations and components. For variable and uncertain applications, organization expect to search and analytical workloads to be run even more easily. Therefore, running petabyte-scale workloads is made so simple with the New AWS Open source Serverless option without having to worry about clusters and its configurations.

Open Search Serverless automatically provisioned and continuously adjusted resources for analytical workloads to maintain performance and reliability despite shifting usage patterns and demands into another process.

For Example,
OpenSearch Serverless immediately scales the resources to higher efficiency and store the data when an application monitoring Workload with a sudden spike in entering activity during an availability incident. Like this, Open Search Serverless automatically increases the resources for query processing without draining the performance of data intake when a server search engine experiences an unexpected increase in requests following a news event.

Open Search ability may be easily used by using the new serverless option as its configuration is similar to that. User must Pay for the resources that they utilize.

AWS OpenSearch Serverless Pricing
Users only pay for the resources that used by the workload when using Amazon OpenSearch Serverless. OpenSearch Serverless assesses divide charges for computing and storage. Its compute units are used to measure the compute capacity (OCUs). The quantity of OCUs directly relates to the CPU, RAM, Amazon EBS storage, and I/O resources which need to perform queries or index data.
One OCU have 6 GB of RAM, a corresponding vCPU, GP3 storage (which is used to offer fast access to the data that is mostly used), and its data transfer to Amazon Simple Storage Service (S3). We can see that there is just one entry for compute in OCU-hours, and it has two labels: one for data numbering and the other for finding the resource.
OCUs are charged hourly with per-second granularity on a similarity basis. Data stored on Amazon S3 will be billed by GB per month. Customer will be billed for a minimum of 4 OCUs for the first group in an account. All ensuring groups may use those OCUs jointly. Based on the compute and data required to serve our collections, more OCUs will be added.
To manage costs, we can define a maximum number of OCU count per user.

This time the AWS OpenSearch serverless is on Specific Regions.
US West (Oregon)
Asia Pacific (Tokyo)
Europe (Ireland)
US East (N. Virginia)
US East (Ohio)

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What are the Key Components of AWS?

Shyam Prakash Mishra — Mon, 30 Jan 2023 20:04:04 +0000

Amazon Web Services (AWS) is a one of the most leading and efficient cloud computing platform provided by Amazon. Previously, human usually built an energy plant and used it for its own purposes. Next, the electricity experts will manage the power plants to ensure a reliable supply of electricity at very low prices for companies. Electricity could be generated more efficiently and the price in this infrastructure is very low. The AWS cloud follows a similar model in which companies can opt for cloud services instead of building large infrastructures, where they can get all the infrastructure they need.

AWS Elements
To access AWS cloud computing capabilities, we must know the basic components of the AWS cloud. There are different components of AWS, but here we will discuss only key components.

Storage
The simple storage service (S3) from Amazon is the first storage service, after few year Elastic Block Storage (EBS) and CloudFront Amazon storage services also added. Storage in AWS is guaranteed by the service provider as pay-for-use model. Amazon S3 is an AWS storage offering service is simplest storage, which can store any amount of data required. It is used for several purposes, such as storing content, backing up, archiving and recovering an accident, as well as storing data.

Along with the first purchase AWS offer one year free service with 5 GB of cloud storage and 20,000 GET requests, as well as 5,000 free S3 requests from S3 the first year. After the first year, the price is charged from $ 0 to 300 per 1 GB to 1 TB every month. EBS is one of the very useful component for measuring EC2 samples. Prices are based on geographic regions, storage capacity such as the disk technology used and the required GB of reserved memory. CloudFront is an excellent storage option for developers ,companies and organizations that facilitate low-latency, high-speed data transfer.

Amazon Cluster
Also known as the Amazon account, AWS has the main computer service EC2 (Elastic cloud computer) and ELB (Elastic Load Balancing) for adjustable storage. Due to these components , companies can increase or decrease according to needs. Administrators and cloud developers use the EC2 instances to maintain and run the cloud computing. The first AWS timers receive approximately 750 hours per month during the first year. But now they have three pricing models, such as on-demand, on-site samples, and a backup case. Depending on the location, the size, complexity and on-demand storage requirements price vary from $ 0.13 to $ 4.60.

The prices of backup copies are reduced if users are expected to pre-order an advance in the range of one to three years. AWS offers up to 75% discount on-demand prices when users reserve cloud computing for future use.

The comparison of sample prices allows users to make offers for the calculation of instances that are not used before. Prices vary according to consumption time, during day, week or month.

For smaller human interference and fault tolerance, AWS ELB distributes applications in all cases of EC2. The ELB service is free of charge up to 15 GB of data processing and 750 hours of monthly service for one year. The maximum charges are charged every hour and each GB is transferred.

Application services
Amazon SQS (simple queue service) is used to automate the workflow between different application services. There is a special queue used to store messages and media files. The service is free up to 1 million messages and 15GB storage per month and then for every million messages and 15gb media, 0.50 USD is charged.

SWS (Simple Workflow Service) is a task management and coordination service for AWS that manages all process with in the system. 20000 active tasks, 60,000 working days and 1,000 executions executed for one year are free for users. Also in addition, users will pay approximately $ 0.0001 per workflow.

Databases
AWS provides caching and data storage in the AWS petabyte area with the relational ladder, and the NoSQL database are also included. DynamoDB is most used NoSQL database that offers large and economical storage. By using EC2 and EBS, users and organizations can manage their own databases in AWS. The Relational Database Service (RDS) and Amazon Redshift are two AWS databases which is easy to use and user manageable .

Amazon RDS is used to manage and make ready to use MySQL, Oracle, SQLServer or PostgreSQL in AWS. Redshift is a data storage service in AWS through which users can store data in columns instead of rows. Prices are based on time used, such as $ 0.25 per hour.

Networks and Analytics
Amazon VPC (Virtual Private Cloud) provides versatile network performance in AWS, which means it provides integrated security and a private cloud which ensure users data security and privacy. VPC is free with EC2 instances. AWS Direct Connect allows users to connect directly to a cloud service which are present on server or on the Internet. The price is based on usage with hour estimations.

AWS provides data analysis services in all areas, such as Hadoop, orchestration and data transmission and real-time storage with its various analytics tools. EMR (Elastic MapReduce) is an analytical facilitator used by companies, data analysts, researchers and developers to analyze and get insight of data. Redshift also offers some analytical capabilities with database data analysis.

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AWS CLOUD STORAGE SERVICES

Shyam Prakash Mishra — Fri, 22 Jul 2022 21:35:20 +0000

What is Cloud storage ?
Cloud storage is facility that allow user to store data on Internet/ Server. It is managed by Cloud computing provider who manages and operates data storage as a service. It is managed, maintained, backed up and made available to users over a network typically, the internet. We generally pay for their cloud data storage on a per-consumption, monthly rate. Cloud storage is a virtual storage infrastructure which have accessible interfaces, near-instant elasticity and scalability, multi tenancy, and MeteredCloud (pay only for what you use) resources.

What is AWS Cloud Storage

The facility to store data on internet/server provided by Amazon Web Services is known as AWS cloud Storage. AWS storage services are low-cost data storage service with high durability and high availability. We also get the option to backing up information, archiving, and disaster recovery. The AWS Storage system provide a hybrid storage service that allows us on-premises applications to seamlessly use. We can use AWS storage service for cloud data processing, backup and archiving, disaster recovery and migration. We can also use AWS cloud storage facility to connect our applications to the service through a virtual machine or hardware gateway appliance using standard storage protocols, such as iSCSI , NFS, and SMB.

Types of AWS cloud Storage Services:
1.Amazon S3 (Simple Storage Service)

Amazon S3 is the oldest and first cloud storage service launched by AWS in 2006. It uses an object storage model that is built to store and retrieve any amount of data. Data of S3 can be accessed from anywhere on earth through mobile apps, corporate applications, websites, and data from IoT sensors or devices that can be dumped onto S3. S3 cloud storage is cost effective , easy to use ,we can also optimize costs, organize data, and configure fine-tuned access controls to meet specific business requirements.

2.Elastic File System (Amazon EFS)
Amazon EFS is a cloud-based file storage service that delivers a scalable, elastic, highly available, and highly durable network file system as-a-service. The storage capacity of EFS is elastic and can grow and shrink automatically depending on the requirement of user. It provides flexible storage capacity enhance the performance of workload that run on EC2. EFS stores data as objects and each object is stored across multiple availability zones within a region. It is more durable than S3. It has ability to make API calls. EFS supports Network File System versions 4 (NFSv4) and 4.1 (NFSv4.1). EFS can be mounted on-premises data center connected with Amazon Virtual Private Cloud (VPC) with AWS Direct Connect service.

3. Amazon Glacier
Amazon Glacier is a secure, more durable, and extremely low-cost storage service for data archiving and long-term storage. It utilize other AWS storage services such as S3, CloudFront, etc. So that it can provide better performance .It store data in the form of archives that may contain single or combination of several files together which is organized in vaults. The data of glacier can only be access by the account owner/admin however, access control can be set up for other people by defining access rules in AWS Identity and Access Management (IAM) service. In glacier storage service durability must be of utmost priority. It is designed to provide average annual durability of 99.999999999% for archives.

4. Amazon FSx
Amazon FSx offer file systems designed for a variety of workload types which is completely managed third-party file system solution. It provides a wide range of Solid-State Disk (SSD) and Hard Disk Drive (HDD) storage with optimize storage price and performance for your workload requirements. It delivers sustained high read and write speed and consistent low latency data access. It allows user to utilize rich feature sets and fast performance of widely-used open source and commercially licensed file systems. It also provides cost-efficient capacity with high levels of reliability and integrates with a broad portfolio of AWS services to enable faster innovation.
It has two file system :-1.Amazon FSx for Windows File Server 2. Amazon FSx for Luster.

5. Elastic Block Store (Amazon EBS)
AWS EBS is a storage system that store the data of EC2 instances in block level wise. It is long lasting block-level storage to be used with EC2 instances in the AWS cloud. EBS storage are used by mounting them onto EC2 instance as you will do with a physical hard drive on-premise and then format the EBS volume to the desired file system. AWS EBS provides persistent block storage for use with AWS EC2 instances in the Amazon Web Service Cloud. We must use EBS where our data is easily accessible. It allows dynamically increasing capacity, performance tuning and you can even change the type of volume with any performance impact. It also allow to save point-in-time snapshots of volumes to increases the durability of the data stored. IAM policy is needed to allow access to EBS volumes.

6. EC2 Instance Storage
Amazon EC2 is a web based service which provide scalable computing capacity in the (AWS) Cloud. It provide virtual computing environment which is known as instances. It allows businesses to run their customized application programs in the Amazon Web Services public cloud. We can launch as many virtual servers as we need by configuring security, storage management and networking in EC2 instance. Instance storage volumes are ideal for the temporary storage of data that changes frequently like queue caches, buffers, and scratch data. We can increase or decrease instance capacity as we want by using the Amazon EC2 web interface or an application programming interface (API). A developer can code an application to scale instances automatically with AWS Auto Scaling mode. We can also define an autoscaling policy and group to manage multiple instances at once. It Uses SSDs to deliver high random I/O performance, not intended to be used as durable disk storage. IAM policy is needed to be defined to permit secure control to users for performing operations like launch and termination of EC2 instances. The idea of EC2 was given by Pinkham and engineer Benjamin Black and they presented a paper on their ideas to Amazon CEO Jeff Bezos, and he liked the idea of EC2 details on virtual cloud servers. In 2006, Amazon announced a limited public beta test of EC2, and in 2007 added new instance types -- Large and Extra Large. Amazon announced the addition of static IP addresses, availability zones, and user selectable kernels in spring 2008, followed by the release of the Elastic Block Store (EBS) in August.

Benefits Of AWS Storage:
1.More Durable and Secure
2.No upfront cost it is a pay-as-you-go model.
3.Worldwide access: You can access all your data worldwide just using an internet connection.
4.Storage can be increased or decreased with changes in data size.
5.Low-cost data storage with high durability and high availability.
6.User can backup their data during disaster.

Reference:https://aws.amazon.com/products/storage/

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AWS MACHINE LEARNING

Shyam Prakash Mishra — Tue, 19 Jul 2022 10:23:17 +0000

What is AWS machine learning?
Amazon Machine Learning is a service offered by AWS that allows us to develop predictive applications by using algorithms, mathematical models based on the user’s data. Machine Learning can be implemented in an ample amount of applications. AWS Machine Learning help the user to quickly build smart applications that can help to perform important tasks such as fraud detection, demand forecasting, predictive customer support, and quick prediction. Amazon Machine Learning reads data through Amazon S3, Redshift and RDS, then visualizes the data through the AWS Management Console and the Amazon Machine Learning API. This data can be imported or exported to other AWS services via S3 buckets. It uses “industry-standard logistic regression” algorithm to generate models. AWS ML is used to review customer feedback in email, product reviews, forum, and phone transcripts. This further recommends the product action to the service team or connects the customer with customer care specialist. AWS Machine Learning is easy to use as the user can locate the data within Amazon Web Services.

Benefits of Amazon Machine Learning
1.Sagemaker
Amazon Sage Maker helps data scientists and developers very efficiently. It helps to build, train, and deploy Machine Learning models. Sage Maker has a new architecture which can help with all of its capabilities in your existing Machine Learning workflows.

2.DeepLens
It is a Deep Learning-enabled video camera, which is made for developers. Integrating this with Amazon Sage Maker will help to get up and running with Deep Learning quickly and easily.

3.Economical
It is a Deep Learning-enabled video camera, which is made for developers. Integrating this with Amazon Sage Maker will help to get up and running with Deep Learning quickly and easily.

4.More Secure

Control access to resources with granular permission policies. Storage and database services provide sturdy coding to stay your data secure. Versatile key management choices enable you to settle on whether or not you or AWS can manage the encryption keys.

5.Deep Platform Integrations

ML services are deeply integrated with the rest of the platform together with the data lake and database tools you wish to run Machine Learning workloads. The data on AWS offers you access to
the foremost complete platform for large data.

6.API-Driven Machine Learning Service

Developers will simply add intelligence to any application with a various choice of pre-trained services that give computer vision, speech, language analysis, and chatbot practicality.

7.Open Source Platform
Machine Learning is suitable for the data researcher, Machine Learning researcher, or developer. AWS offers Machine Learning services and tools tailored to fulfill your wants and level of expertise.

Advantages of AWS Machine Learning

Amazon’s AWS Machine Learning suite of services can help cut down the time and expense it typically takes to develop, test, and deploy ML models. For instance, adding specifics to pre-trained models can help a company quickly deploy a chatbot to help with customer service tasks. AWS also supports all of the major machine learning frameworks, such as TensorFlow and Caffe2.

It’s also secure, with end-to-end encryption, and provides a “pay-as-you-go” model that allows organizations of all sizes to
scale as needed. Also, AWS provides numerous data analysis
services to help make the best business decisions possible. A
known leader in cloud computing, Amazon offers a fantastic end
to-end solution for companies implementing machine learning into
their products, services, and operations.

References:https://aws.amazon.com/machine-learning/

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AWS MACHINE LEARNING

Shyam Prakash Mishra — Mon, 18 Jul 2022 11:36:58 +0000

What is AWS machine learning?
AWS Machine Learning algorithm discovers pattern and data and constructs the mathematical model using this data. These models are used to make predictions in new data. Machine Learning can be implemented in an ample amount of applications. AWS Machine Learning help the user to quickly build smart applications that can help to perform important tasks such as fraud detection, demand forecasting, predictive customer support, and quick prediction. Amazon Machine Learning synchronizes the previous data and utilizes it further to provide the necessary information to the user. AWS ML is used to review customer feedback in email, product reviews, forum, and phone transcripts. This further recommends the product action to the service team or connects the customer with customer care specialist. AWS Machine Learning is easy to use as the user can locate the data within Amazon Web Services.

2.DeepLens
It is a Deep Learning-enabled video camera, which is made for developers. Integrating this with Amazon Sage Maker will help to get up and running with Deep Learning quickly and easily.

4.More Secure

5.Deep Platform Integrations

6.API-Driven Machine Learning Service

Developers will simply add intelligence to any application with a various choice of pre-trained services that give computer vision, speech, language analysis, and chatbot practicality.

Advantages of AWS Machine Learning

References:https://aws.amazon.com/machine-learning/

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Amazon Elastic Compute Cloud(EC2)

Shyam Prakash Mishra — Wed, 13 Jul 2022 16:29:52 +0000

First question arise about EC2 is What is Amazon EC2?
Amazon EC2 is a web based service which provide scalable computing capacity in the (AWS) Cloud. It provide virtual computing environment which is known as instances. It allows businesses to run their customized application programs in the Amazon Web Services public cloud. We can launch as many virtual servers as we need by configuring security, storage management and networking in EC2 instance. We can increase or decrease instance capacity as we want by using the Amazon EC2 web interface or an application programming interface (API). A developer can code an application to scale instances automatically with AWS Auto Scaling mode. We can also define an autoscaling policy and group to manage multiple instances at once.
The idea of EC2 was given by Pinkham and engineer Benjamin Black and they presented a paper on their ideas to Amazon CEO Jeff Bezos, and he liked the idea of EC2 details on virtual cloud servers. In 2006, Amazon announced a limited public beta test of EC2, and in 2007 added two new instance types -- Large and Extra Large. Amazon announced the addition of static IP addresses, availability zones, and user selectable kernels in spring 2008, followed by the release of the Elastic Block Store (EBS) in August.

Amazon EC2 instance types
There are mainly 4 types of EC2 instances:
1.General Purpose instances
General purpose instances are ideal starter instances for new EC2 users. They allow us to get a good understanding of the compute, memory, and networking requirements of your applications, run stress tests, and graduate to specialized instance types. You will then be able to choose from a broad selection of instances designed specifically for compute, memory, storage intensive applications that best fit your needs.

2.Accelerated Computing instances
Accelerated computing instances are used in applications that require high processing capability. They provide access to hardware-based compute accelerators, or co-processors such as Graphics Processing Units (GPUs), or Field Programmable Gate Arrays (FPGAs). These instances perform certain functions, such as floating point number calculations, graphics processing, and data pattern matching, more efficiently than those running on CPUs. They enable more parallel processing for higher throughput.
GPU-based instances provide access to NVIDIA GPUs with thousands of compute cores. FPGA-based instances provide access to large FPGAs with millions of parallel system logic cells.

3.Memory Optimized instances
Memory-optimized instances are made to perform faster when data is large memory size and It is designed for memory intensive applications including in-memory applications, in-memory databases(such as SAP HANA), in-memory analytics solutions, High Performance Computing, Electronic Design Automation, scientific computing and enterprise applications.

4.Compute Optimized instances
The Compute Optimized instances are used to compute intensive applications that run on high performance processors. Examples are batch processing workloads, media transcoding, high performance web servers, scientific modeling, dedicated gaming servers, ad servers and machine learning inference. The later generations are EBS optimized by default.
These types are ideal for intensive computing use cases, such as:
*Dedicated ad and gaming servers
*Scientific modeling
*High-performance web servers
*Media transcoding
*Batch processing workloads

Benefits of Amazon EC2

Completely controllable 2.Complete Computing Solution 3.Flexibility
Reliability 5.Cost Saving

Reference:https://aws.amazon.com/ec2/

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AWS (EBS) Elastic Block Store

Shyam Prakash Mishra — Mon, 27 Jun 2022 16:05:47 +0000

AWS (EBS) Elastic Block Store

AWS EBS is a storage system which store the data of EC2 instances in block level wise.AWS EBS provides persistent block storage volumes for use with AWS EC2 instances in the Amazon Web Service Cloud.We must use EBS where our data is easily accessible.

At current Amazon EBS offer four different types of volumes each with different characteristics which help to grow business .

It provides two types of volumes:
1.SSD-Backed delivering low-latency with highest IOPS:It gives maximum 256000 IOPS , 4,000 MB/s of throughput, and 64 TiB in size per volume.
SSD provides best boot volumes and transactional workload which require low latency and high IOPS. Enterprises Applications, Relational Databases, and NoSQL Databases can all support the power of SSD-Backend.

2.HDD--Backed for streaming sequential access for highest throughput :
HDD is used for intensive workload where the dataset is quite large .It also used with large input /output size such as such as Kafka,data warehouse, log processing, MapReduce, and ETL workloads.This volume is used where the data size is large and we want best performance terms of throughput.

The EBS is used to maximize data protection as the failure rate is between 0.1 to 0.2%.The user can still take precautions by taking point-in-time snapshots for efficient backup, Archiving, and recovery for procuring new EC2 instances.

Features of AWS EBS
AWS EBS provides various features such as

1.Elastic Volume
AWS EBS provides Elastic Volumes to the user to create storage and attach them to Amazon EC2. Elastic Volume dynamically increases the capacity and tune performances. It works with no downtime or performance impact.

2.Snapshots
AWS EBS provide point-in-time snapshots of EBS volumes for long term durability. They are backed up to the Amazon S3. In Amazon EBS only the blocks that change after the last snapshot save. The user bill only for the charged block. We can use snapshots to instantiate multiple new volumes, expand the size of a volume, or move volumes across Availability Zones.
When a new volume is created, we may create new snapshot from the existing one. It is only done through replica snapshot.

3.Encryption
AWS EBS encryption provide encryption of EBS data volumes, boot volumes, and snapshots. The encryption occurs on the servers that host EC2 instances.
This encryption works in only the data working between EBS and EC2 . Since Amazon EC2 is integrated with AWS (IAM) Identity and Access Management due to which we can control Amazon EBS volumes. Here we can create keys which Managing Access is managed by AWS Key Management Service (KMS).

4.Managing Access
The keys created by the user and Amazon-managed key provide the security to the data EBS encryption enables data at rest security by encrypting your data volumes, boot volumes, and snapshots.

Access management is done with the help of IAM which is a feature of the AWS account offered at no additional charge. The user will charge only for use of other AWS services by your users.

Benefits of Amazon EBS
Some benefits of AWS EBS are given below
1.High Performance or we can say best performance.
2.Reliable and secure storage.
3.Location Flexible.
4.Best backup facility.
5.Scalable and innovative.
6.Consistent with Low latency performance.
7.Data encryption and security.

Reference:https://aws.amazon.com/ebs/features/

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HOW TO GET FREE ACCESS OF AWS CLOUD PRACTITIONER Practice EXAM

Shyam Prakash Mishra — Mon, 20 Jun 2022 18:58:43 +0000

There are many other roles also which are cloud based and aws is best to capture those position

In this post I am going to show how you can get free access of aws BenchPrep.
Let's Start

STEP 1
Firstly you have to search this url in your web browser
https://aws.amazon.com/certification/certified-cloud-practitioner/
After the page open you have to click on*AWS Partner Training. Select **Free Digital Training*.

STEP 2
Now you will see Explore Free Digital Training section at Right side of the web page. Click on that Learner Dashboard will open .There you will see a lots of Free Digital training in that you will learn many things about AWS and after completion of any digital training you will receive certificate of completion by AWS.
Scroll down and you will see*AWS Cloud Quest:CloudPractitioner*
Click on that and get Enrolled in digital training .

STEP 3
Now new page will open .Click on Start Learning Now.There you will see two more section Trailer and System Requirements .Go through them there you will know what system requirements you need how you will do this challenge .Moving Forward Click on Play Now.

STEP 4
A new page will Open there you will see information about assignments and task through which you are going to get
Free Access Code for AWS Cloud Practitioner Prep Exam.
Now you have to sign in with your account and that must be verified after verification you will 12 Assignments which you have to complete according to given instructions. Do the task accordingly. After task completion you will receive massage in your task manager about Access code.There you see few instructions about redeem code how to redeem any many others instructions.At left side of message page you will See your Free Access Code.

STEP 5
Now copy the code Access Code and Open given website:https://amazonwebservices.benchprep.com/ . Once the website is open click on REDEEM ACCESS CODE .After entering the access code and you will get access of free exam practice of aws cloud practitioner.

STEP 6
Now Create a new account for Benchprep website if you don't have existing account .Remember the Id and password for future use.
Now open your dashboard and click on practice exam .There you will learn a lot of things about AWS and similar question about AWS certification exam.
Enroll in AWS Professional certification Exam for better future .

References:https://aws.amazon.com/certification/certified-cloud-practitioner/

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Why AWS is Better than Other Cloud Platforms

Shyam Prakash Mishra — Tue, 07 Jun 2022 12:33:03 +0000

Actually, AWS is just the more stable/mature of the 3 big providers. Azure and GC are making strides but lag behind in terms of operability, user convenience, the org behind the service.

Let's know why we should prefer aws over other provider :

1.AWS provide Best Security

As we know that for any work Firstly we think about security. So AWS, as a cloud service, offers enhanced security to protect your virtual organization.

The data centers and servers have multiple layers of operational security. The best thing is that Amazon regularly conducts infrastructure evaluations to check for any security vulnerabilities.

2.AWS has More services and features than other cloud platforms :

Since AWS is most mature platforms among all cloud platforms that's why it has more features and services than others .
The quality of AWS services are quite better than others.
AWS started its life as an internal cloud offering. By 2006, it had evolved into a publicly available cloud platform with services like Amazon S3 cloud storage and elastic compute cloud (EC2).
AWS now offers more than 200 fully featured services to cater to any demand and serve millions of users.
AWS enables a smooth and flexible data collection flow using serverless services such as Amazon Kinesis Streams, Amazon SQS Queues and AWS Lambda Functions.
It provides organizations with the option to choose the web application platform, operating system, database and programming languages, among others as per their requirement.

3.It provide Special Container named Amazon (ECS) Amazon Elastic Container Service which is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon Elastic Compute Cloud (Amazon EC2) instances and this is more efficient than other cloud platform.

4.AWS has 66 availability zones with 12 more on the way which is greater than other cloud platform. More the availability zone the data which in result increase the performance .

5.AWS provide better training and certification than other cloud platform .As we know that now days the uses of cloud platform is increasing very rapidly and cloud professionals are needed there. For that AWS is one of the best platform which trained the student and take special type of exam which determine student cloud learning ability on the basis of that they will get professional certificate.Some data will prove how aws training is better than other ones.
Amazon Web Services (AWS) certifications have become a leading credential, partly because the need for cloud professionals is so great today and these certifications provide an excellent way of validating one’s proficiency in a specific domain.

6.It is easy to use
AWS Management Console is highly user-friendly interface .This server interface presents a plethora of services and applications that every business needs.That is why it is always in demand.AWS is mostly preferred by business man and professionals .

7.Most friendly and reasonable pricing
AWS can also afford to provide a more flexible pricing structure than Azure, and there’s a chance to save more money if your usage goes up. As you use their services more, the charges tend to go down.
you can purchase aws instances at lower price according to your needs:
A.Reserved Instances :In Amazon EC2 Reserved Instances we have to pay for upfront cost or we can say for hardware ,maintenance and other sevices charges. we can reserve a instance for 0ne or three years.

B.On Demand Instances:
In On-Demand Instances we have to pay only for what we use no upfront cost .

C.Spot Instances: A Spot Instance is an instance whose price is less than on demand instances Because Spot Instances enable you to request unused EC2 instances at steep discounts, you can lower your Amazon EC2 costs significantly.

Scalable and high-performance
AWS is Auto Scalable and Elastic Load Balancer due to which our application can auto scale according to demand.In result the high performance can be seen.

ALLOWS TO Deploy our application globally
AWS allows us to deploy our application in multiple regions around the world with just a few clicks. This means you can provide lower latency and a better experience for your customers at minimal cost.

References:
https://www.globalknowledge.com/us-en/resources/resource-library/articles/how-to-earn-a-top-paying-aws-certification-salary/#gref
https://aws.amazon.com/

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