Commercial Azure Cloud Services from local datacenters in India

Demonstrating its commitment to delivering trusted cloud services that enable people and organizations around the world to achieve more, Microsoft announced the availability of Microsoft Azure Services via local datacenter regions in India.

As the first public cloud provider from India, Microsoft has opened three new regions: Central India in Pune, South India in Chennai, and West India in Mumbai. Governments, large businesses, small and medium businesses (SMBs) and citizens can use the massive computing power now available locally to fuel India’s inclusive growth, spur innovation and accelerate digital transformation.

 

MS Data Centers

Having the Microsoft Cloud in India will transform the way computing is done in the country.  The hyper-scale cloud will empower governments, businesses and users and offer enough computing power that will support all their existing workloads. Built on foundation principles of security, privacy, control, compliance and transparency, Microsoft Cloud Services are designed to enable individuals and organizations to achieve more.

Millions of users in India are already using Microsoft Cloud Services leading to the cloud business growing by more than 100 percent year-on-year over the past two years.  With the local cloud services, regulated industries such as BFSI, government departments and state-owned enterprises will now be able to leverage public cloud services and be able to take advantage of local data residency. In addition, businesses that deal with large amounts of data will benefit from data replication in multiple regions within India for backup and recovery, reduced network distance, lower latency and the option of a private connection to the cloud.

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Data Lake – Is it the future for Big Data?

Data Lake is a new storage concept that is gaining ground in the Cloud. Often the Data Lake term is being used as part of the Big Data solution. In theory, it is where you can store raw data in its native format, usually in Hadoop and Hadoop Distributed File System (HDFS). It can be used and processed to create data sets for other applications and users as and when needed. You don’t worry about the complex (and often expensive) data pipeline needed to simply collect and store diverse data.

The credit for coining the term Data Lake goes to James Dixon, Pentaho Chief Technology Officer. Dixon used the term initially to contrast with “data mart”, which is a smaller repository of interesting attributes extracted from the raw data.

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AWS Elastic Beanstalk for Automated Website App Deployment

Elastic Beanstalk is an AWS PaaS (Platform as a Service) which allows you to create, deploy and push the web applications to the various services , including Amazon EC2, Amazon S3, Amazon Simple Notification Service (SNS), Amazon CloudWatch, auto scaling, and Elastic Load Balancers.

Being multi-platform means that the website apps developed in Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Passenger, and IIS can be easily deployed. An open architecture means that applications not written for the Web can also be deployed on the Elastic Beanstalk. The supported deployment methods include Git and Java Web Application Archive.

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