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V-Soft's Corporate Headquarters

101 Bullitt Lane, Suite #205
Louisville, KY 40222

502.425.8425
TOLL FREE: 844.425.8425
FAX: 502.412.5869

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6400 South Fiddlers Green Circle Suite #1150
Greenwood Village, CO 80111

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Harrisburg, PA 17109

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Cumming, GA 30041

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Cincinnati, Ohio

Spectrum Office Tower 11260
Chester Road Suite 350
Cincinnati, OH 45246

Phone: 513.771.0050

Raritan, New Jersey

216 Route 206 Suite 22 Hillsborough Raritan, NJ 08844

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Toronto, Canada

1 St. Clair Ave W Suite #902, Toronto, Ontario, M4V 1K6

Phone: 416.663.0900

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Incor 9, 3rd Floor, Kavuri Hills
Madhapur, Hyderabad – 500033 India

PHONE: 040-48482789

Bangalore, India

GINSERV, CA Site No 1, HAL
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Why Businesses are Using AWS DynamoDB to Scale Up Performance

AWS DymonDB

AWS DynamoDB is a highly scalable, fully managed NoSQL database service offered by Amazon. It can handle any amount of services and data without delays. DynamoDB can scale to support 10 trillion requests per day and can absorb more than 20 million requests per second. AWS DynamoDB supports Java, JavaScript, Swift, Node.js, .NET, PHP and Python. Let's talk about why businesses are using AWS' DynamoDB.

What is AWS DynamoDB?

As defined by AWS itself, “Amazon DynamoDB is a key value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, multi-master, durable database with built-in security, backup and restores, and in-memory caching for internet-scale applications.” 

How DynmoDB Scales up Application Performance 

AWS DynamoDB uses SSDs to store data and by default, data is replicated across the availability zones. One can utilize global tables to automatically sync the data updates across DynamoDB tables in several AWS regions. 

Being a key-value and document database AWS DynamoDB supports flexible schema, wherein each row can be accommodated with many columns. Unlike a relational database,  you don't have to redefine the table schema. DynamoDB permits you to effortlessly alter the tables according to dynamically varying business requirements. This way, DynamoDB enables businesses to have better scalability, security, consistency, and performance in data storage, retrieval, and distribution. Users are provided with easy-to-use APIs for access to advanced query patterns or crypto-libraries. 

AWS DynamoDB is serverless, which means businesses don't have to manage servers, worry about fixing patches or look for upgrades. With the serverless approach, DynamoDB can scale distributed databases automatically and eliminates operational overload.

One just has to “configure and deploy” to configure the development process according to business needs and building solutions. One can also upload personalized code and execute the code developers worrying about the complexities of the entire process. AWS Serverless compatibility can auto-scale resources or operational capacities dynamically.

DynamoDB has the capacity to scale applications steadfastly to serve millions of concurrent users and requests within milliseconds. Moreover, because it's a fully managed service, AWS DynamoDB guarantees no operational overhead allowing developers to focus more on creating applications on the AWS platform rather than managing databases.

Some critical applications demand latency time to be microseconds, in such cases DynamoDB provides an application named DynamoDB Accelerator (DAX), an in-memory cache that increases read performance of DynamoDB tables. To achieve this, DAX makes use of a API compatible managed service with DynamoDB, which requires only marginal functional modifications.

Some applications may need to send a notification for any alterations to DynamoDB tables in such DynamoDB provides triggers. In this case of custom build applications like facilitating a trigger, DynamoDB integrates with AWS Lambda. In the Lambda function one can specify the action trigger. The action can send an alert or initiate a workflow. 

DynamoDB offers many unique features for businesses to scale their application performance, without worrying about operational overhead.

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Topics: AWS Cloud, AWS, AWS DynamoDB, AWS Lambda

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