Amazon Cognito - User Identity and Access Management

Amazon Cognito

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Amazon Cognito | User Identity and Access Management

As mobile usage has dramatically increased over the years, it is more relevant than ever to design for mobile and work backward towards the desktop. Working back like this creates a need to get users of these mobile apps and web applications, this is where Amazon Cognito comes into play.

Amazon Cognito allows you to easily add user sign in and sign out to your mobile apps and web apps. Also, Amazon Cognito enables you to save data locally on your user devices, allowing your applications to work, even when your devices are offline. You can then synchronize data across user devices, so the app experience remains consistent regardless of the device you use.

Amazon Cognito provides an authentication mechanism for your mobile app. Once a user has been authenticated, they will have access to your AWS services linked to the application. Amazon Cognito even provides a mechanism to grant unauthenticated users access to your AWS services. Additionally, Amazon Cognito sync allows you to sync data across devices, which means that users will have a unified experience no matter the platform.

User identity is the unique identifier you associated with a particular end-user. The three mechanisms that facilitate this are authentication, authorization, and user management. Authentication provides the entry point for your users to sign in. This is the place where you would also enable federation with enterprise and social identity. Authorization allows you to protect data and operations. This is the place you provide fine grade access control. Finally, user management is where you manage user lifecycles, storing and managing user profile data, and where you would monitor user engagement.

There are two ways to federate with Amazon Cognito; Cognito user pools and Cognito identity pools.
1. Cognito user pools allow you to create and maintain a user directory and add sign up and sign in into your mobile app or web application. User pools scale to hundreds of millions of users and are designed to supply simple, secure, low-cost options for you.
2. Cognito identity pools allow you to create unique identities for your users and federate then with identity providers at no cost. With that identity, you can obtain temporary, limited privilege AWS credentials to synchronize data for Amazon Cognito sync or directly access other AWS services.

With federation, you can link user information stored across multiple separate and decent management systems. Cognito handles these interactions to authenticate users and receive tokens. These identity providers are configuring Cognito. Cognito user pools act as a universal directory, providing user-profiles and authentication tokens for federated and native users.

Let Amazon Cognito handle your authentication needs. Cloud Rush has partnered with Amazon Web Services to provide you with AWS services such as Cognito. Contact us today for a complimentary consultation for Amazon Cognito.

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AWS Amazon Polly

Amazon Polly

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Turn text into lifelike speech with Amazon Polly.

When it comes to using technology, sometimes using a screen is not an option. Text to speech technology is useful in these situations. However, older early day text to speech solutions can sound more like a robot and makes it difficult to understand and tiresome to listen to over extended periods of time. Amazon Polly, an AWS managed cloud service, provides an artificial intelligence service whose job is to translate text information into speech. Polly focuses on converting text into speech using national sounding lifelike voices.

Amazon Polly is a best in class solution. Its top features are as follows:
• Create applications that talk and increase accessibility
• Provides an easy to use and device-independent solution
• Voices are high quality and as good as natural human speech
• Supports 24 languages with multi voices per language
• Store and distribute the generated speech as an audio file
• Accurate text processing
• Highly intelligible
• Supports speech synthesis markup language (SSML)
• Supports dictionaries (Lexicons)
• Natural sounding speech generation from text

Let’s talk a little about Amazon Polly and SSML. It is a speech synthesis markup language. It is XML based markup language, and tags comply with SSML 1.0. The SSML start with and end with . You can modify aspects of the speech output, such as the expansion of abbreviations and acronyms as well as control of pitch, volume, and speed of speech. For example, if you wanted your text to speech solution to have a Boston accent, this would be possible.

Amazon Polly can be used in many cases. Here are some typical applications:
• Education – It provides language learning applications that support 24 languages. Listening to actual spoken languages is very important for language learning, and accurate pronunciation is even more critical. With the use of speech marks, Amazon Polly can provide more immersive storytelling and better reading experience for anyone struggling with reading and writing.
• Gaming – It can be used to test in-game dialogs without needing a voice actor.
• Content Creation – Amazon Polly can be used to read news channels out loud.
• Telephony – Polly is used in the form of a phone call to an interactive voice response system, it enables automated self-service call center operations as well.

Amazon Polly provides real-time streaming at a low cost. The audio can be streamed so you can play the sound immediately, in a real-time scenario. Besides, you pay by the character and only the characters you use. This allows unlimited replays, making it an effective way to voice your applications. You can go as far as creating a custom brand voice for your organization.

Amazon Polly is an AWS cloud service that is used to translate text into speech using natural-sounding lifelike voices. It provides many features and benefits that may help set your organization apart. If you think Amazon Polly may be right for you, contact Cloud Rush today. We offer complimentary consultations for all AWS cloud services.

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Amazon Redshift

Amazon Redshift – AWS Analytics Tool

Amazon Redshift - AWS Analytics Tool

Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your organization’s data across your data warehouse. It will deliver ten times faster performance than other data warehouses by using machine learning, massively parallel query execution, and columnar storage on high-performance disk.

First, let’s start with the basics. Data warehouses are databases that are designed and used as depositories for analytical data. Data warehouses share many characteristics to relational databases but serve different purposes. A relational database is used to store individual records, while data warehouses are used to store and maintain aggregate values generated from relational databases.

Amazon Redshift automatically provisions the infrastructure and automates administrative tasks such as backups, replication, and fault tolerance. With concurrency scaling, you can support virtually unlimited concurrent users and concurrent queries. When enabled, it automatically adds additional cluster capacity when you need it to process an increase to concurrent read queries. When the demand decreases, the additional capacity is automatically removed.

The Amazon Redshift Spectrum is an optional feature that allows you to query all types of data stored in Amazon simple storage service or Amazon S3 buckets. You don’t need to load that data into the Redshift database to work. One of the advantages of Amazon Redshift is that it uses a massively parallel columnar architecture. This means the data is indexed in the same way that analytical queries are written.

How Does Amazon Redshift Work?

Internally Amazon Redshift is broken down into nodes. There is a single leader node and several compute nodes. Clients access it via a SQL endpoint on the leader node. The client then sends a query to the endpoint. The leader node creates jobs based on the query logic and sends it in parallel to the compute nodes. The compute nodes contain the actual data the queries need. The compute nodes find the required data, form operations and return results to the leader node. The leader node then aggregates the results from all of the computer nodes and sends a report back to the clients.

Amazon Redshift Data Warehouse Uses

You can use Amazon Redshift to build a unified data platform. Creating multiple copies of data is a massive waste of time and money. However, traditional data warehousing requires the data to be loaded into the data warehouse. Redshift Spectrum can run queries across your data warehouse and Amazon S3 simultaneously. This will save you time and money.

Amazon Redshift Costs

Amazon Redshift costs have been simplified to help you determine your overall costs. You start by choosing the cluster nodes that meet your needs. Each cluster node includes memory, storage, and IO. The node type is billed per hour. There are 4 types of pricing:
1. On-Demand Pricing
2. Concurrency Scaling Pricing
3. Reserved Instance Pricing
4. Amazon Redshift Spectrum Pricing

Whether you are a startup to a Fortune 500 company, this tool will help save your organization time and money. Contact Cloud Rush today to get started with a complimentary consultation.

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Amazon RDS

Amazon RDS

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Amazon RDS - AWS Database

Data is a strategic asset in any organization. Companies of all shapes and sizes are looking to get value from data. But before you can find value in your data, you need to find ways to store it efficiently. Amazon RDS will help you reduce the infrastructure costs associated with running and managing databases, improve the time it takes to develop applications, and create value using analytics and machine learning services.

Amazon RDS is a relational database service. The relational database makes use of schemas to normalize data. Also, they reduce their storage costs with these schemas. The data within the database is accessed by using a structured query language (SQL). Amazon RDS was created to minizine the effort involved in managing the relational database. The service automates time-consuming administrative tasks such as hardware provisioning, OS and database setups, patching, and backups, all while providing cost-efficient and reliable resizable capacity.

Amazon RDS provides enhanced availability and durability for the use of multi-AZ deployments. Meaning, Amazon RDS will create multiple instances of the databases in different availability zones. In case of infrastructure failure, Amazon RDS will perform an automatic failover to the standby to another availability zone. The database operations will resume as soon as the failover is complete. Your organization will not have to update connection strings because Amazon RDS uses a DNS service to point to the new master instance.

When you build your first Amazon RDS database, your organization will need to make a few key decisions. First, you will decide on the database instance type, which determines the resources your database will have. Next, you will determine the type of database engine you want to run. You can choose from the following:
• Amazon Aurora
• PostgreSQL
• MySQL
• MariaDB
• Oracle
• SQL Server

Amazon RDS stores data in the forms of tables, records, and fields. In most tables, records must be unique; this is called a primary key. Primary keys from one table can be added to another table, creating a relationship. Relationships are one of the benefits of relational databases.
Relational databases will store transactional data and analytical data, providing stability and reliability.

Amazon RDS has a pay as you go mentality. There are three parts to Amazon RDS billing.
1. You pay for the instance hosting the databases. There are two instance types to choose from, on-demand and reserved. The on-demand instance pricing allows you to pay for the compute capacity by the hour. Also, reserved instance pricing is best when you have a good understanding of the resource consumption of your database.
2. You pay for the storage consumed by your database. The storage consumed is billed per gigabyte per month.
3. You pay for the amount of data transferred to or from the Internet and other AWS regions.

Amazon RDS can help your organization get the value out of the data, giving you a leg up against your competitors. Curious about how to get started? Cloud Rush offers complimentary consultations to help your organization better understand the benefits of Amazon RDS.

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Amazon Workspaces

Amazon WorkSpaces

Introduction to Amazon WorkSpaces

Amazon WorkSpaces is a fully managed secure cloud desktop that make it easy for users to access applications, documents, and resources from anywhere on any supported device. This is available to provision on Windows, Linux, Mac, Chrome, iPads, Android tablets, Fire tablets, as well as Chrome and Firefox web browsers, delivering the ‘bring your own device’ experience to all end users.  Amazon Workspaces allow you to provision high-quality cloud desktop experiences for any number of users.  This way you can enable remote or contract employees and streamline test and development processes.  

Since data is streamlined to your devices in an encrypted format and not stored locally, AWS Workspaces will help improve your security and reduce costs and complexity by eliminating the need for building out on-site infrastructure.  In addition, this service is flexible where you can pay monthly or hourly depending on the needs of your organization.  Overall, the costs are comparable to traditional desktops environments.

Amazon WorkSpaces Benefits

There are many benefits to organizations when using Amazon WorkSpaces.  Amazon WorkSpaces makes it easy to manage your desktop computing infrastructure by eliminating the need for upfront investments.  It also helps you avoid the complexity of maintaining, patching, and managing a large desktop environment.  Furthermore, it is secure and provides each user with access to storage in AWS Cloud.

Using Amazon WorkSpaces is beneficial for both administrators and users. For admins, it helps to secure resources, lowering costs, delivering high-quality user experience, simplifying administration, and scaling it on demand.  For the users, Amazon WorkSpaces supports getting instant access to apps and data, going between devices, and getting work done anywhere.

Amazon WorkSpaces Bundles

Amazon WorkSpaces offers choices of hardware and software, which are called bundles.  They offer bundles of different amounts of CPU, memory, and storage to make sure you choose the right amount of resources for your requirement.

Because Amazon WorkSpaces resides in the cloud, users can access their desktop from any supported device or browser.  It, also, securely integrates with your corporate active directory, so that users continue using their enterprise credentials to access company resources, making it easy to manage your workspaces using familiar system management tools.

Amazon WorkSpaces vs. VDI or PC

Amazon WorkSpaces are superior to on-premise VDI or PCs.  The on-premise VDI or PCs can take months to set up for the user and have an upfront capital investment.  In addition, Amazon WorkSpaces provide a more secure environment, is more scalable, provides an application manager, and there is no maintenance.

Amazon WorkSpaces Security

Amazon WorkSpaces provides top-notch security.  The following are key security factors:

1. Compliance – It is compliant and conforms to payment card industry data security standards.  
2. Credentials- Users sign in using their own credentials, which they can create after a WorkSpaces has been provisioned to them.  
3. Digital certificates – Digital certificates are a digital form of identity that is valid for a specific amount of time which is used as a credential which provides information about the identity of an entity as well as other supporting information.   
4. Access – You can restrict access to WorkSpaces based on the client OS type and using digital certificates.  
5. Multi-factor authentication- Multi-factor authentication adds an additional layer of security during the authentication process.  Users must validate their identity by providing something they know, such as a password as well as something they have such as a one-time password.  
6. Encryption – There are 3 supported encryptions that provide data stored at rest, disk output to the volume, and snapshots created by the volume.

Amazon WorkSpaces help organizations’ needs such as graphic applications, have remote workers, students, or developers.  Does this sound like something that your organization may benefit from using?  Cloud Rush is here to help.  We offer complimentary consultations that will help you better understand where your organization is and where AWS products, such as Amazon WorkSpaces, can provide value. 

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AWS Lambda

Amazon Lambda

AWS Lambda – An AWS Computing Tool

AWS Lambda gives your organization the ability to run code serverless.  Serverless does not mean there are no servers involved, it means servers and the entire infrastructure are taken care of, so the code is your only worry.  Taking this approach will allow your organization to only pay for the compute times that are consumed.  So, when your code is not being used, you won’t have to pay.  This can be done because Lambda scales automatically.  The Lambda easily allows you to upload your code and from there, everything is taken care of that is required to run and scale your code.  This can be done automatically from other AWS services or directly from any application.  

When Should I Use AWS Lambda?

AWS Lambda compute platform should be used when you have written the code in languages that are supported by Lambda.  In addition, you will need to run within the standard runtime environment and resources provided by Lambda.  This will balance the memory, CPU and network allowing Lambda to perform operational and administrative activities on your behalf. 

Below you will find some common use cases for Lambda:
*     Scalable APIs
*     Data processing
*     Task Automation

How AWS Lambda Works

Lambda fills the primary role of the compute service on AWS.  There are 5 keys concepts to understand how Lambda works.  

1.     Function – This is the resource you can call on to run your code.
2.     Runtime – This will allow functions in different coding languages to run in the same environment.
3.     Event – This is a JSON formatted document that contains data for a function to process.
4.     Concurrency – This is the number of requests that your function is serving at any given time.
5.     Trigger – This is a resource or configuration that invokes a Lambda function.

So, think of it as your organization will run functions to process events.  In addition, this is a fully managed service and is a great fit for deploying highly scalable cloud computing solutions.

Benefits of Using AWS Lambda

Making the business case to move from maintaining your own servers in the cloud to Lambda will come with some unique benefits.
*     Automatic Scaling
*     Fully managed infrastructure
*     Pay per use
*     Integration with other AWS services

AWS Lambda Limits

AWS Lambda limits the amount of compute and storage resources that you can use to run and store functions. The resources are limited to 1000 concurrent executions, 75GB of function and layer storage, and 250 elastic network interfaces per VPC.  These items can be increased.  In addition, there are limits that apply to function configuration, deployments, and execution.  They cannot be changed.

Intrigued?  Want to learn more?  Cloud Rush takes a hands-on approach.  From conventional data center infrastructure and operations to hybrid cloud infrastructure and application development to serverless computing and containerization, our business is built on years of specialized industry experience.  Cloud Rush offers complimentary consultations for all of our clients to see which services will fit with your current business operations. 

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Amazon EC2 – Just the Facts

Amazon EC2 – Just the Facts

Amazon Elastic Compute Cloud (Amazon EC2) falls under managed services offered by AWS for their cloud computing offerings.  It is a secure and resizable compute capacity in the cloud.  Now let’s breakdown the meaning.  

    1.    Compute, (in Elastic Compute Cloud) refers to the compute or the server resources such as :
 •    Application server
 •    Web server
 •    Database server
 •    Game server
 •    Mail server
 •    Catalog server
 •    File server
 •    Computing server
 •    Proxy server

     2.    The Cloud (in Elastic Compute Cloud) refers to the fact that these are cloud hosted compute resources.
     3.    Finally, the Elastic (in Elastic Compute Cloud) refers to the fact if properly configured you can increase or decrease the number of servers required for an application automatically accordingly to current demands on that particular application. 

Instead of thinking them as servers, think of them as Amazon EC2 instances.  Instances allow you to pay as you go.  You only pay when you run instances and the time they were running. In addition, broad selection of hardware/software and selection of where to host your instances are all aspects of the EC2 instance.  Amazon offers a wide variety of instance types to fit your business needs.  They will differ by CPU, memory, storage, and networking capacity. 

The instance types are as follows:

 •    General purpose – These instances will provide a balance of compute, memory and networking resources and can be used on all types of workloads.  For example, a web server would be an ideal candidate because it used resources in equal proportions.  
 •    Compute optimized – These instances are ideal for compute bound applications that require high performance processors.  These compute intense applications such as gaming servers are well suited for this instance.
 •    Memory optimized – These instances are designed to deliver fast performance for workloads that process large data set in memory.
 •    Accelerated Computing– These instances use hardware accelerators to act as co-processors.  This will be more efficient than software running on CPUs.

 •    Storage Optimized – These instances are designed for workloads that require high, sequential read and write access to very large data sets on local storage.

Amazon EC2 instances have many features that will help you deploy, manage and scale your applications.  These features are as follows:
1.    Bare Metal instances
2.    Optimize Compute Performance and Cost with Amazon EC2 Fleet
3.    Pause and Resume Your Instances
4.    GPU Compute Instances
5.    GPU Graphics Instances6.    High I/O Instances7.    Dense HDD Storage Instances
8.    Optimized CPU Configurations9.    Flexible Storage Options10.    Paying for What You Use
11.    Multiple Locations
12.    Elastic IP Addresses
13.    Amazon EC2 Auto Scaling
14.    High Performance Computing (HPC) Clusters
15.    Enhanced Networking
16.    Elastic Fabric Adapter (Fast interconnect for HPC clusters)
17.    Available on AWS PrivateLink
18.    Amazon Time Sync Service

Understanding the meaning, the types of instance as well as the features are important when reviewing the Amazon EC2 facts.  There is one more item, we feel is important to tackle.  The building and configuring of the Amazon EC2 instance.   Building and configuring an instance is as easy as this checklist:
1.    Login to AWS Console
2.    Choose a Region (where to host instance)
3.    Launch EC2 Wizard
4.    Select AMI (software)
5.    Select instance type (hardware)
6.    Configure network
7.    Configure storage
8.    Configure key pairs

Amazon EC2 can help any organization that is looking to take at least some of their computing to the cloud.  Cloud Rush works with organizations in all steps of cloud migration.  From conventional data center infrastructure and operations to hybrid cloud infrastructure and application development to serverless computing and containerization, Cloud Rush is here to help.  We offer a complimentary consultation where we can dive deeper into Amazon EC2 and where it fits in your organization. 

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Amazon Chime

Amazon Chime

Is Amazon Chime right for your organization?

Amazon Chime is a secure enterprise ready unified communication service designed for a frictionless adoption by users anywhere on any device. High quality audio and video make virtual meetings a pleasant reality. The easy to use meeting room features make sure meetings run smoothly and free of frustration. Amazon Chime is an AWS managed service so your IT department can be assured of easy deployment and stable operations with a simple integration of your current infrastructure.

Amazon Chime Login

The user interface provides a consistent meeting experience across the many devices and platforms. Both hosts and participants must accomplish basic tasks effortlessly and the intuitive focus and consistent Amazon Chine user interface assures frustration free participation.

With Amazon Chime, you can manage communication, meetings, and events. Chat rooms provide a persistent venue for ongoing group communication. And group chats provide for an ad hoc team interaction.  There are a variety of status symbols that will help you stay organized as well.  Joining a meeting is as simple as entering a 10-digit number.  In addition, Amazon Chime offers organization a one click event mode that provides all controls to the organizer.  

Amazon Chime Pricing

Amazon Chime is a pay only for what you use model. This allows you to pay for the features you use on the days you use them.   


Amazon Chime also offers user management, active directory integration, as well as the ability to use your own domain name with auto registration of users.  It is also secure.  It is built on the AWS Cloud and since it is an AWS service it means you can benefit from a data center and network architecture that meets requirements of the most security sensitive organizations.  In addition, all of the communication done through Amazon Chime is encrypted using AES 256-bit encryption.  

Whether you are hosting an online meeting, video conferencing, team collaboration or business calling Amazon Chime can help simplify it by providing options on how you want to communicate in a single secure application that allows you to pay for only what you use.  So, if you think Amazon Chime is an application that could help your organization communicate better, then let’s talk. 

As an Amazon Web Services partner , Cloud Rush helps businesses design, architect, build, migrate, and manage their workloads and applications on this powerful cloud platform. With more than 165 fully featured services, Cloud Rush can deliver AWS services of all sizes depending on the needs of your organization.  To begin, we offer all of our potential clients a complimentary consultation.  This is where we will dive into your organizations cloud service needs and provide you with a comprehensive cloud readiness plan. 

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What is Amazon Kinesis?

Amazon Kinesis – A Quick Guide

Collecting, processing, and analyzing data to provide insights in real-time is critical to organizations.  Amazon Web Services offers Amazon Kinesis for this very purpose.  Amazon Kinesis allows your organization to easily collect, process, and analyze video and data streams.  This real time tool will allow you to consume data such as video, audio, application logs, website clickstreams, and loT telemetry data for machine learning, analytics, and other applications. Processing this data real time will allow your organization to respond instantly, giving your organization the upper hand.

The benefits of real time, fully managed, and scalable are seen across all capabilities of Amazon Kinesis.  These capabilities are the following:

1.    Kinesis Video Streams – Amazon Kinesis Video Streams is a fully managed AWS service that you can use to stream live video from devices to the AWS Cloud, or build applications for real-time video processing or batch-oriented video analytics.  Benefits of using Kinesis Video Streams include:

        a.    Connect and stream from millions of devices
        b.    Durably store, encrypt, and index data
        c.    Focus on managing applications instead of infrastructure
        d.    Build real-time and batch applications on data streams
        e.    Steam data more securely


2.    Kinesis Data Streams – You can use Amazon Kinesis Data Streams to collect and process large streams of data records in real time.  You can use Kinesis Data Streams for rapid and continuous data intake and aggregation. The type of data used can include IT infrastructure log data, application logs, social media, market data feeds, and web clickstream data.  In addition, here are some scenarios for using Kinesis Data streams:
        a.    Accelerated log and data feed intake and processing    
        b.    Real- time metrics and reporting    
        c.    Real- time data analytics
        d.    Complex stream processing

3.    Kinesis Data Firehose – Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores and analytics tools. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, transform, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security.


4.    Kinesis Data Analytics – the easiest way to process streaming data in real time with standard SQL without having to learn new programming languages or processing frameworks.  It will automatically provision the services necessary to collect, process, analyze and visualize website clickstream data in real-time. This solution is designed to provide a framework for analyzing and visualizing metrics, allowing you to focus on adding new metrics rather than managing the underlying infrastructure.

If you would like to explore how Amazon Kinesis can help your organization, contact us for a complimentary consultation.  Cloud Rush’s hands on, human approach to IT will help your organization with all of your Amazon Web Service needs.

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Amazon EMR Migration Guide - Part 2

Amazon EMR Migration Guide | Part 2

From the response we received from Amazon EMRA Migration Plan we have decided to elaborate on the Amazon EMR topic.  This post will dive deeper into next steps.  So now that you have started your journey to Amazon EMR, gathering requirements, optimization and security are the next steps in the migrating process.

A list of metrics is useful to help with cost estimation, architecture planning, and instance type selection. These will help drive the decision-making process during migration. For example, you will need to capture each of these metrics to drive the decision-making process during migration:

*     Aggregate number of physical CPUs
*     CPU clock speed and core counts
*     Aggregate memory size
*     Amount of HDFS storage (without replication)
*     Aggregate maximum network throughput
*     At least one week of utilization graphs for the resources used above 

Now we will cover optimization from the cost, storage and computing aspects. With Amazon EMR, you only pay a per-second rate for every second that you use the cluster. Amazon EMR provides various features to help lower costs. To make the best use out of those features, consider the workload type as well as the instance type.  This will help to optimize costs.  In addition to cost optimization, storage optimization is equally important.  By optimizing your storage, you can improve the performance of your jobs. This approach enables you to use less hardware and run clusters for a shorter period. Here are some strategies to help you optimize your cluster storage: *     Partition Data
*     Optimize File Size
*     Compress the Dataset
*     Optimize File Formats

While cost and storage optimization is important, it is imperative to understand the computing optimization as well.  Here are some of the features and ways to optimize your Amazon EC2 cluster’s compute:

*     Spot Instances
*     Reserved Instances
*     Instance Fleets
*     Amazon EMR Auto Scaling

There are a number of factors to consider when estimating costs for an Amazon EMR cluster. These factors include EC2 instances (compute layer), EBS volumes, and Amazon S3 storage. Due to the per-second pricing of Amazon EMR, the cost of running a large EMR cluster that runs for a short duration would be similar to the cost of running a small cluster for a longer duration.

Once optimization is fully detailed, securing your resources on Amazon EMR is the next step.  Amazon EMR has a comprehensive range of tools and methods to secure your data processing in the AWS Cloud. Some best practices are:

*     Design early with security in mind
*     Ensure that the supporting department is involved early in security architecture.
*     Understand the risks
*     Obtain security exceptions.
*     Use different security setups for different use cases

Once you have hammered out the next steps of the migration process which are gathering requirements, optimization and security, you will be on your way to fully taking advantage of Amazon EMR.  Talking with a cloud service company that is dedicated to helping organizations navigate platforms such as Amazon EMR is critical to the success of your project.  Contact Cloud Rush today for a complimentary assessment for your organization.

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