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Public Cloud Services Comparison – AWS vs Azure vs Google vs IBM vs Oracle

Public Cloud Services Comparison – AWS vs Azure vs Google vs IBM vs Oracle


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Azure and AWS for Multi Cloud Solutions

As the leading public cloud platforms, Azure and AWS each offer businesses a broad and deep set of capabilities with global coverage. Yet many organizations choose to use both platforms together for greater choice and flexibility, as well as to spread their risk and dependencies with a multi cloud approach. Consulting companies and software vendors might also build on and use both Azure and AWS, as these platforms represent most of the cloud market demand.


Area AWS service Azure service Description
Marketplace AWS Marketplace Azure Marketplace Easy-to-deploy and automatically configured third-party applications, including single virtual machine or multiple virtual machine solutions.


Area AWS service Azure service Description
Virtual servers Elastic Compute Cloud (EC2) VMs Azure Virtual Machines Virtual servers allow users to deploy, manage, and maintain OS and server software. Instance types provide combinations of CPU/RAM. Users pay for what they use with the flexibility to change sizes.
  Amazon Lightsail Azure Virtual Machines & Images Collection of virtual machine templates to select from when building out your virtual machine.
Container management EC2 Container Service (ECS) Azure Container Service A container management service that supports Docker containers and allows users to run applications on managed instance clusters. It eliminates the need to operate cluster management software or design fault-tolerant cluster architectures.
  EC2 Container Registry Azure Container Registry (Preview) Allows customers to store Docker formatted images. Used to create all types of container deployments on Azure.
Microservice-based applications None Service Fabric A compute service that orchestrates and manages the execution, lifetime, and resilience of complex, inter-related code components that can be either stateless or stateful.
Backend process logic Lambda Functions Used to integrate systems and run backend processes in response to events or schedules without provisioning or managing servers.
  Lambda @ Edge None Runs Lambda functions on AWS Edge locations in response to CloudFront events.
Job orchestration AWS Batch Azure Batch Orchestration of the tasks and interactions between compute resources that are needed when you require processing across hundreds or thousands of compute nodes.
Scalability AWS Auto Scaling Virtual Machine Scale Sets (VMSS)

Azure App Service Scale Capability (PAAS)

Azure AutoScaling

Lets you automatically change the number of instances providing a particular compute workload. You set defined metric and thresholds that determine if the platform adds or removes instances.
Predefined templates AWS Quick Start Azure Quickstart templates Community-led templates for creating and deploying virtual machine–based solutions.


Area AWS service Azure service Description
Object storage Simple Storage Services (S3) Azure Storage—Block Blob (for content logs, files) (Standard—Hot) Object storage service, for use cases including cloud applications, content distribution, backup, archiving, disaster recovery, and big data analytics.
Virtual Server disk infrastructure Elastic Block Store (EBS) Azure Storage Disk—Page Blobs (for VHDs or other random-write type data)

Azure Storage Disks—Premium Storage

SSD storage optimized for I/O intensive read/write operations. For use as high performance Azure virtual machine storage.
Shared file storage Elastic File System Azure File Storage (file share between VMs) Provides a simple interface to create and configure file systems quickly, and share common files. It’s shared file storage without the need for a supporting virtual machine, and can be used with traditional protocols that access files over a network.
Archiving—cool storage S3 IA Glacier Azure Storage—Standard Cool Cool storage is a lower cost tier for storing data that is infrequently accessed and long-lived.
Backup None Azure Backup Backup and archival solutions allow files and folders to be backed up and recovered from the cloud, and provide off-site protection against data loss. There are two components of backup—the software service that orchestrates backup/retrieval and the underlying backup storage infrastructure.
Hybrid storage Storage Gateway StorSimple Integrates on-premises IT environments with cloud storage. Automates data management and storage, plus supports disaster recovery.
Bulk data transfer AWS Import/Export Disk Import/Export A data transport solution that uses secure disks and appliances to transfer large amounts of data. Also offers data protection during transit.
  AWS Import/Export Snowball

AWS Snowball Edge

AWS Snowmobile

None Petabyte- to Exabyte-scale data transport solution that uses secure data storage devices to transfer large amounts of data into and out of the AWS cloud, at lower cost than Internet-based transfers.
Disaster recovery None Site recovery Automates protection and replication of virtual machines. Offers health monitoring, recovery plans, and recovery plan testing.

Networking & Content Delivery

Area AWS service Azure service Description
Cloud virtual networking Virtual Private Cloud Virtual Network Provides an isolated, private environment in the cloud. Users have control over their virtual networking environment, including selection of their own IP address range, creation of subnets, and configuration of route tables and network gateways.
Cross-premises connectivity AWS VPC Gateway Azure VPN Gateway Azure VPN Gateways connect Azure virtual networks to other Azure virtual networks, or customer on-premises networks (Site To Site). It also allows end users to connect to Azure services through VPN tunneling (Point To Site).
Domain name system management Route 53 Azure DNS Manage your DNS records using the same credentials and billing and support contract as your other Azure services
  Route 53 Traffic Manager A service that hosts domain names, plus routes users to Internet applications, connects user requests to datacenters, manages traffic to apps, and improves app availability with automatic failover.
Content delivery network CloudFront Azure Content Delivery Network A global content delivery network that delivers audio, video, applications, images, and other files.
Dedicated network Direct Connect ExpressRoute Establishes a dedicated, private network connection from a location to the cloud provider (not over the Internet).
Load balancing Elastic Load Balancing Load Balancer

Application Gateway

Automatically distributes incoming application traffic to add scale, handle failover, and route to a collection of resources.


Area AWS Service Azure Service Description
Relational database RDS SQL Database Relational database-as-a-service (DBaaS) where the database resilience, scale, and maintenance are primarily handled by the platform.
NoSQL—document storage DynamoDB Cosmos DB A globally distributed, multi-model database that natively supports multiple data models: key-value, documents, graphs, and columnar.
NoSQL—key/value storage DynamoDB and SimpleDB Table Storage A nonrelational data store for semi-structured data. Developers store and query data items via web services requests.
Caching ElastiCache Azure Redis Cache An in-memory–based, distributed caching service that provides a high-performance store typically used to offload nontransactional work from a database.
Database migration Database Migration Service (Preview) SQL Database Migration Wizard Typically is focused on the migration of database schema and data from one database format to a specific database technology in the cloud.

Analytics and big data

Area AWS service Azure service Description
Elastic data warehouse Redshift SQL Data Warehouse A fully managed data warehouse that analyzes data using business intelligence tools. It can transact SQL queries across relational and nonrelational data.
Big data processing Elastic MapReduce (EMR) HDInsight Supports technologies that break up large data processing tasks into multiple jobs, and then combine the results to enable massive parallelism.
Data orchestration Data Pipeline Data Factory Processes and moves data between different compute and storage services, as well as on-premises data sources at specified intervals. Users can create, schedule, orchestrate, and manage data pipelines.
  AWS Glue (Preview) Data Factory + Data Category Cloud-based ETL/data integration service that orchestrates and automates the movement and transformation of data from various sources.
Analytics Kinesis Analytics Stream Analytics

Data Lake Analytics

Data Lake Store

Storage and analysis platforms that create insights from large quantities of data, or data that originates from many sources.
Visualization QuickSight (Preview) PowerBI Business intelligence tools that build visualizations, perform ad hoc analysis, and develop business insights from data.
  None Power BI Embedded Allows visualization and data analysis tools to be embedded in applications.
Search Elasticsearch Service Marketplace—Elasticsearch A scalable search server based on Apache Lucene.
  CloudSearch Azure Search Delivers full-text search and related search analytics and capabilities.
Machine learning Machine Learning Machine Learning Produces an end-to-end workflow to create, process, refine, and publish predictive models that can be used to understand what might happen from complex data sets.
Data discovery None Data Catalog Provides the ability to better register, enrich, discover, understand, and consume data sources.
  Amazon Athena None Provides a serverless interactive query service that uses standard SQL for analyzing databases


Area AWS service Azure ervice Description
Conversational user interfaces virtual personal assistant Alexa Skills Kits Cortana Intelligence Suite —Cortana Integration Services cover intelligence cognitive services, machine learning, analytics, information management, big data and dashboards and visualizations.
  Microsoft Bot Framework + Azure Bot Service Builds and connects intelligent bots that interact with your users using text/SMS, Skype, Teams, Slack, Office 365 mail, Twitter, and other popular services.
Speech recognition Amazon Lex Bing Speech API API capable of converting speech to text, understanding intent, and converting text back to speech for natural responsiveness.
  Language Understanding Intelligent Service (LUIS) Allows your applications to understand user commands contextually.
  Speaker Recognition API Gives your app the ability to recognize individual speakers.
  Custom Recognition Intelligent Service (CRIS) Fine-tunes speech recognition to eliminate barriers such as speaking style, background noise, and vocabulary.
Text to Speech Amazon Polly Bing Speech API Enables both Speech to Text, and Text into Speech capabilities.
Visual recognition Amazon Rekognition Computer Vision API Distills actionable information from images, generates captions and identifies objects in images.
  Face API Detects, identifies, analyzes, organizes, and tags faces in photos.
  Emotions API Recognizes emotions in images.
  Video API Intelligent video processing produces stable video output, detects motion, creates intelligent thumbnails, detects and tracks faces.

Internet of things (IoT)

Area AWS service Azure service Description
Internet of Things AWS IoT Other Services (Kinesis, Machine Learning, EMR, Data Pipeline, SNS, QuickSight) Azure IoT Suite (IoT Hub, Machine Learning, Stream Analytics, Notification Hubs, PowerBI) Provides a preconfigured solution for monitoring, maintaining, and deploying common IoT scenarios.
  AWS IoT Azure IoT Hub A cloud gateway for managing bidirectional communication with billions of IoT devices, securely and at scale.
  AWS Greengrass – Software for Connected Devices Azure IoT Gateway SDK Contains the infrastructure and modules to create IoT gateway solutions. The SDK can be used and extended to create gateways tailored to any end-to-end scenario.
Streaming data Kinesis Firehose

Kinesis Streams

Event Hubs Services that allow the mass ingestion of small data inputs, typically from devices and sensors, to process and route the data.

Management & monitoring

Area AWS service Azure service Description
Cloud advisor Trusted Advisor Azure Advisor Provides analysis of cloud resource configuration and security so subscribers can ensure they’re making use of best practices and optimum configurations.
Deployment orchestration (DevOps) OpsWorks (Chef-based) Azure Automation Configures and operates applications of all shapes and sizes, and provides templates to create and manage a collection of resources.
  CloudFormation Azure Resource Manager (ARM)

VM extensions

Azure Automation

Provides a way for users to automate the manual, long-running, error-prone, and frequently repeated IT tasks.
Management & monitoring (DevOps) CloudWatch Azure portal

Azure Monitor (Preview)

A unified console that radically simplifies building, deploying, and managing your cloud resources.
  CloudWatch Visual Studio Application Insights An extensible analytics service that helps you understand the performance and usage of your live web application. It’s designed for developers, to help you continuously improve the performance and usability of your app.
  AWS X-Ray Azure Application Insights + Azure Monitor An extensible application performance management service for web developers on multiple platforms. You can use it to monitor your live web application, detect performance anomalies, and diagnose issues with your app.
  AWS Usage and Billing Report Azure Billing API Services to help generate, monitor, forecast, and share billing data for resource usage by time, organization, or product resources.
  AWS Management Console Azure Portal A unified management console that radically simplifies building, deploying, and operating your cloud resources.
Administration AWS Application Discovery Service Azure Log Analytics in Operations Management Suite Provides deeper insights into your application and workloads by collecting, correlating and visualizing all your machine data, such as event logs, network logs, performance data, and much more, from both on-premises and cloud assets.
  Amazon EC2 Systems Manager Microsoft Operations Management Suite—Automation and Control functionalities Enables continuous IT services and compliance through process automation and configuration management. You can transform complex and repetitive tasks with IT automation.
  AWS Personal Health Dashboard Azure Resource Health (Preview) Provides detailed information about the health of resources as well as recommended actions for maintaining resource health.
  Third Party Azure Storage Explorer Standalone app from Microsoft that allows you to easily work with Azure Storage data on Windows, Mac OS, and Linux.

Mobile services

Area AWS service Azure service Description
Pro app development Mobile Hub Mobile Apps

Xamarin Apps

Provides backend mobile services for rapid development of mobile solutions, identity management, data synchronization, and storage and notifications across devices.
  Mobile SDK Mobile Apps Provides the technology to rapidly build cross-platform and native apps for mobile devices.
  Cognito Mobile Apps Provides authentication capabilities for mobile applications.
App testing AWS Device Farm Xamarin Test Cloud (front end) Provides services to support testing mobile applications.
Analytics Mobile Analytics HockeyApp

Application Insights

Supports monitoring, and feedback collection for the debugging and analysis of a mobile application service quality.
Enterprise mobility management None Intune Provides mobile device management, mobile application management, and PC management capabilities from the cloud.

Security, identity, and access

Area AWS service Azure service Description
Authentication and authorization Identity and Access Management (IAM) Azure Active Directory

Azure Active Directory Premium

Allows users to securely control access to services and resources while offering data security and protection. Create and manage users and groups, and use permissions to allow and deny access to resources.
  AWS Organizations Azure Subscription and Service Management + Azure RBAC Security policy and role management for working with multiple accounts.
  Multi-Factor Authentication Multi-Factor Authentication Helps safeguard access to data and applications while meeting user demand for a simple sign-in process. It delivers strong authentication with a range of verification options, allowing users to choose the method they prefer.
Information protection None Azure Information Protection Service to help control and secure email, documents, and sensitive data that you share outside your company walls.
Encryption Server-side encryption with Amazon S3 Key Management Service Azure Storage Service Encryption Helps you protect and safeguard your data and meet your organizational security and compliance commitments.
  Key Management Service


Key Vault Provides security solution and works with other services by providing a way to manage, create, and control encryption keys stored in hardware security modules (HSM).
Firewall Web Application Firewall Application Gateway Web Application Firewall (preview) A firewall that protects web applications from common web exploits. Users can define customizable web security rules.
Security Inspector Security Center An automated security assessment service that improves the security and compliance of applications. Automatically assess applications for vulnerabilities or deviations from best practices.
  Certificate Manager App Service Certificates available on the Portal Service that allows customers to create, manage and consume certificates seamlessly in the cloud.
Directory services AWS Directory Service + Windows Server Active Directory on AWS Azure Active Directory Domain Services + Windows Server Active Directory on Azure IaaS Comprehensive identity and access management cloud solution that provides a robust set of capabilities to manage users and groups. It helps secure access to on-premises and cloud applications, including Microsoft online services like Office 365 and many non-Microsoft SaaS applications.
  None Azure Active Directory B2C A highly available, global, identity management service for consumer-facing applications that scales to hundreds of millions of identities.
  AWS Directory Service Windows Server Active Directory Services for supporting Microsoft Active Directory in the cloud.
Compliance AWS Artifact Microsoft Service Trust Portal Provides access to audit reports, compliance guides, and trust documents from across cloud services.
Security AWS Shield Azure Marketplace—Security Provides cloud services with protection from distributed denial of services (DDoS) attacks.

Developer tools

Area AWS service Azure service Description
Media transcoding Elastic Transcoder Media Services Services that offer broadcast-quality video streaming services, including various transcoding technologies.
Email Simple Email Service (SES) Marketplace—Email Services for integrating email functionality into applications.
Messaging Simple Queue Service (SQS) Azure Queue Storage Provides a managed message queueing service for communicating between decoupled application components.
Messaging Simple Queue Service (SQS) Service Bus Queues, Topics, Relays Supports a set of cloud-based, message-oriented middleware technologies including reliable message queuing and durable publish/subscribe messaging.
Workflow Simple Workflow Service (SWF) Logic Apps Serverless technology for connecting apps, data and devices anywhere—on-premises or in the cloud for large ecosystems of SaaS and cloud based connectors.
API management API Gateway API Management A turnkey solution for publishing APIs to external and internal consumers.
Enterprise app integration None BizTalk Services Provides out-of-the box, cloud to on-premises, and line-of-business application integration for SAP, Oracle EBS, SQL Server, and PeopleSoft.
Backend process logic Lambda Web Jobs Technology to provide an easy way to run scripts or programs as background processes in an application context.
Application development None Logic Apps (App Service) Connect apps, data, and devices anywhere—on-premises or in the cloud—with our large ecosystem of SaaS and cloud-based connectors that includes Salesforce, Office 365, Twitter, Dropbox, Google Services, and more.
  Elastic Beanstalk Web Apps (App Service)

Cloud Services

API Apps (App Service)

Managed hosting platforms providing easy to use services for deploying and scaling web applications and services.



Visual Studio Team Services Developer tools for scripting application deployment.
  AWS Developer Tools Azure Developer Tools Collection of tools for building, debugging, deploying, diagnosing, and managing multi-platform, scalable apps and services.
  None Power Apps Technology to rapidly build business solutions, connecting to existing services and data sources such as Excel, SharePoint, Dynamics 365, and more using a visual designer.
App testing None Azure Dev/Test Labs (backend) Testing technology to build out heterogeneous solutions for testing cross-platform functionality to your dev/test environment. Integrates to a full DevOps Continuous Integration/Deployment with Visual Studio Online service and 3rd parties such as Jenkins, Chef, Puppet, CloudTest Lite, Octopus Deploy, and others.
App customer payment service Amazon Flexible Payment Service and Amazon Dev Pay None Cloud service that provides developers a payment service for their cloud based applications.
Game development (cloud-based tools) GameLift None AWS managed service for hosting dedicated game servers.
  Lumberyard None Game engine integrated with AWS and Twitch.
DevOps AWS CodeBuild Visual Studio Team Services Fully managed build service that supports continuous integration and deployment.
Backend process logic AWS Step Functions Azure Logic Apps (App Service) Cloud technology to build distributed applications using out-of-the-box connectors to reduce integration challenges. Connect apps, data and devices on-premises or in the cloud.
Programmatic access Command Line Interface Azure Command Line Interface (CLI)

Azure PowerShell

Built on top of the native REST API across all cloud services, various programming language-specific wrappers provide easier ways to create solutions.

Enterprise integration

Area AWS service Azure service Description
Enterprise app integration none Azure Biztalk services Provides out of the box cloud to on-premises and line-of-business application integration for SAP, Oracle EBS, SQL Server, and PeopleSoft.
Enterprise application services none Dynamics 365 Dynamics 365 delivers the full spectrum of CRM through five individual apps— Sales, Customer Service, Field Service, Project Service Automation, and Marketing —that work seamlessly together.
  Amazon WorkMail

Amazon WorkDocs

Office 365 Fully integrated Cloud service providing communications, email, document management in the cloud and available on a wide variety of devices.
Content management in the cloud None SharePoint Online Provides a collaborative way for individuals, teams, and organizations to intelligently discover, share, and collaborate on content from anywhere and on any device.
Commercial PAAS-IAAS-DBaaS framework None Azure Stack A hybrid cloud platform that lets you deliver Azure services from your organization’s datacenter.



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The Azure Sales Strategy for Small and Medium Enterprises

The Azure Sales Strategy for Small and Medium Enterprises

  • On-premises: Using Windows Server, Hyper-V, and System Center
  • A Cloud operated by a Microsoft hosting partner: Using Windows Server, Hyper-V, and System Center
  • In Microsoft Azure: Based on Hyper-V

The unique selling point that Microsoft has is that they can provide once consistent platform that customers can use to run their business. If you want to remain on-premises, then you can. If you want to outsource in some measure with a local hosting partner, then you can. If you want to deploy in Microsoft Azure, then you can. If you want to use a mixture of any two or all three parts of this “cloud OS,” then you can. For SMEs, there might be challenges to lifting and shifting IT from on-premises to the cloud, but that does not stop you from supplementing those services with functionality from Azure. In fact, there are features of Azure that should be of great benefit those those customers. Here’s more about the three core scenarios that are part of the Azure sales strategy for small and medium enterprises.


The Three Core Scenarios

It is easy to get lost in the vast array of developer, PaaS, and IaaS features that Microsoft Azure can offer. Most of the Microsoft partners that operate in the SME space have taken no more than a cursory look at Azure before now, so it would have been foolish for Microsoft to pitch out the entire range of services and say “Do X, Do Y, Do Z, offer A, B, and C, and don’t forget M, N and L.” Instead, Microsoft has identified three talking points for Microsoft partners that can solve problems for SMEs without using the big scary ‘push the cloud only’ message that other cloud vendors market. Each of these scenarios can supplement investments that SMEs have already made in on-premises IT and can solve some problems that they might face in the future:

  • Hosting websites
  • Deploying applications in Azure using virtual machines
  • Using Azure Online Backup for automated offsite backup


Scenario #1: Azure Websites

Hosting of websites is not exactly a new concept. You can go to any of thousands of hosting companies around the world, and pay them a few bucks a month to host your website. Some of them even offer a store of some kind that will pre-provision a CMS and backend database for you, such as WordPress on PHP with a shared server MySQL backend database.


Azure offers that same kind of service, but with the advantages that you get from hosting with a  big-3 cloud vendor. You can get a simple website (running in either a shared or dedicated hidden virtual machine) from Microsoft, you can scale the site up to a very powerful instance with lots of CPU and RAM, and you can scale it out to hundreds of load balanced web servers. The naïve IT pro might comment that this is all too much for an SME. Maybe it is; but why place an arbitrary limitation on how big a business can grow? Azure Websites allows “Mary the mechanic” to advertise her business using the same infrastructure as the likes of Citibank, HypoVereinsbank, or Barclays, all massive banking corporations. Mary can take a tiny bite out of Azure every month, paying either nothing (the low spec instances are free) or very little to market her business online. If demand, and therefore her business revenue, grows then Mary can scale up or scale out her presence on Azure and pay a little more. The benefit is simple: take advantage of a huge, globally located infrastructure and sell/market your business to your customers, no matter where they are, with great performance, and no that you can scale up/down to meet demands, with no long term capital investments; any business savvy planner should like the sound of that!

Azure Websites is based on IIS, but you can deploy a huge range of Microsoft and non-Microsoft applications and CMS systems, including WordPress, PHP, Joomla, Drupal, and more, all from the Gallery.

Scenario #1: Azure Websites

Hosting of websites is not exactly a new concept. You can go to any of thousands of hosting companies around the world, and pay them a few bucks a month to host your website. Some of them even offer a store of some kind that will pre-provision a CMS and backend database for you, such as WordPress on PHP with a shared server MySQL backend database.

Azure offers that same kind of service, but with the advantages that you get from hosting with a  big-3 cloud vendor. You can get a simple website (running in either a shared or dedicated hidden virtual machine) from Microsoft, you can scale the site up to a very powerful instance with lots of CPU and RAM, and you can scale it out to hundreds of load balanced web servers. The naïve IT pro might comment that this is all too much for an SME. Maybe it is; but why place an arbitrary limitation on how big a business can grow? Azure Websites allows “Mary the mechanic” to advertise her business using the same infrastructure as the likes of Citibank, HypoVereinsbank, or Barclays, all massive banking corporations. Mary can take a tiny bite out of Azure every month, paying either nothing (the low spec instances are free) or very little to market her business online. If demand, and therefore her business revenue, grows then Mary can scale up or scale out her presence on Azure and pay a little more. The benefit is simple: take advantage of a huge, globally located infrastructure and sell/market your business to your customers, no matter where they are, with great performance, and no that you can scale up/down to meet demands, with no long term capital investments; any business savvy planner should like the sound of that!

Azure Websites is based on IIS, but you can deploy a huge range of Microsoft and non-Microsoft applications and CMS systems, including WordPress, PHP, Joomla, Drupal, and more, all from the Gallery.

Scenario #3: Data Backup in the Cloud

Every business should have an off-site backup. There are many solutions for this, including those that are enabled by traditional on-premises backup solutions, and those made available from the myriad of online backup vendors and resellers.

So why would you be interested in Microsoft’s online backup solution. Right now, it’s a very simple solution that is light on management, especially when compared to the many vendors of online backup – partner reselling and management is sorely needed in Azure because most SMEs outsource their IT management. However, Azure Online Backup has one big advantage: price per GB per month. Microsoft can purchase and deploy storage at costs that only Amazon and Google can compete with, and Microsoft is determined to be competitive or cheaper than the other big 2 vendors when it comes to cloud storage. I have seen a number of cloud backup resellers double-take when I’ve told them about the pricing of Azure backup. I know, for example, that Azure backup is 33% cheaper than the online backup solution that one of the traditional block storage vendors owns.

There are two ways to leverage this service. The first is aimed at the smaller business that might have a single small server, or maybe a couple of virtual machines on-premises. An agent is downloaded to these machines, and they can backup direct to the cloud – note that you can continue to use Windows Server Backup to backup locally to USB for regular restores. A bigger solution is where you supplement on-premises backup, such as System Center Data Protection Manager, and selectively send a copy of backup data to Azure.

Note that the data is pre-encrypted (trust no-one or TNO) before it leaves the customer site and Microsoft never has the secret passphrase to decrypt the data. The data is also optimized – in my tests a 1.6 GB selection requires 660 MB of data to backup and restore.

Thanks & Regards

Vijay Jain

M : +91 9870291860 +91 9967873052


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The Top Three Cloud Security Myths : BUSTED

The top three cloud security myths: BUSTED


The rise in global cyber-attacks and the subsequent high-profile press coverage, understandably makes businesses question the security of cloud. After all, the dangers of hosting anything in an environment where data loss or system failure events are attributed to an outside source are magnified. As a result, many CIOs are also still struggling to identify and implement the cloud services most suitable for their business. In fact, research finds over three quarters (79%) of CIOs find it a challenge to balance the productivity needs of employees against potential security threats. Moreover, 84% of CIOs worry cloud causes them to lose control over IT.

But is cloud really more vulnerable than any other infrastructure? And how can organisations mitigate any risk they encounter? The reality is that all systems have vulnerabilities that can be exploited, whether on-premise, in the cloud or a hybrid of the two. It’s safe to say that people fear what they don’t understand – and with cloud becoming increasingly complex, it’s not surprising that there are so many myths attached to it. It’s time to clear up some of these myths.

Myth 1: Cloud technology is still in its infancy and therefore inherently insecure

Cloud has been around for much longer than we often think and can be traced as far back as the 1970’s. The rapid pace of cloud development, coupled with an awakening realisation of what cloud can do for businesses, has thrust it into the limelight in recent years.

The biggest issue CIOs have with cloud is their increasing distance from the physical technology involved. Indeed, many CIO’s feel that if they cannot walk into a data centre and see comforting lights flashing on the hardware, and then it is beyond their reach. As a result, many organisations overlook instrumentation in the cloud, so don’t look at the data or systems they put there in the same way they would if it were on a physical machine. Organisations then forget to apply their own security standards, as they would in their own environment, and it is this complacency that gives rise to risk and exposure.

Myth 2: Physical security keeps data safe

It is a common misconception that having data stored on premise and on your own servers is the best form of protection. However, the location of data is not the only factor to consider. The greatest form of defence you can deploy with cloud is a combination of strict access rights, diligent data stewardship and strong governance.

Common security mistakes include not performing full due diligence on the cloud provider and assuming that the provider will be taking care of all security issues. In addition, it is still common for organisations to not take into account the physical location of a cloud environment and the legal ramifications of storing data in a different country. Indeed, a ruling found the Safe Harbour accord was invalid as it failed to adequately protect EU data from US government surveillance. Cloud providers rushed to assure customers they were dealing with the situation, but the main takeaway from this is to not believe that a cloud provider will write security policy for you – organisations need to take ownership.

Myth 3: Cloud security is the provider’s responsibility

All of the major public clouds have multiple certifications (ISO27001, ISO27018, ENISA IAF, FIPS140-2, HIPAA, PCI-DSS) attained by proving they have controls to ensure data integrity.

The real risk comes when organisations blindly park data, thinking that security is just implicit. Unless the data is protected with encryption, firewalls, access lists etc., organisations remain vulnerable. The majority of cloud exposures can in fact be traced back to a failure in policy or controls not being applied correctly – look at the TalkTalk hack for example, and consider the alternate outcome had the database been encrypted.

Education and ownership is the future :

The speed at which cloud is evolving can understandably cause a few teething problems. But it is the responsibility of providers and clients alike to take ownership of their own elements and apply security policies which are right for their business, their risk profile and the data which they hold. As with any technological change, many interested parties quickly jumped on the cloud bandwagon. But the allure of a technology can inhibit a lack of critical thinking, and the broader view of choosing the right application at the right cost, with appropriate security to mitigate risk, is lost. Remember, the cloud is not inherently secure and given the fact it stands to underpin enterprise operations for years to come, it’s worth approaching it not as a bandwagon but as an important part of enterprise infrastructure.


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Information Technology as a service (ITaaS) is a technology-delivery method that treats IT as a set of defined services, providing an organization with exactly the amount of hardware, software, and support it needs for an agreed-on monthly fee. IT service delivery is undergoing a seismic shift in its operating structure. Cloud computing has established next-gen infrastructure benchmarks, which present an entirely different set of challenges for the hardware-designed legacy infrastructures.

With ITaaS, technology solutions can be deployed as needed, when needed, and bill for only what is used. This allows IT to be a strategic enabler to the business, but allows users of technology services to take control of the process and work at their own speed.

Technology as a Service is a unique financing opportunity that gives you the technology hardware, software and service that you want without having to pay for it right now. You can spread the payments out over three years with 0% interest and the option to either buy your equipment, or replace with new at the end of your contract.

Today, 70% of the world economy has become services, and this percentage continues to grow worldwide. The United States produced 79% of its 2010 GDP in services. Majority of the companies believe that by 2020 they will be competing primarily on service basis. As the service shift sweeps across all corners of the economy, it brings both opportunities and threats to companies that produce and sell technology products. Many companies that make industrial equipment, scientific instruments and computing devices are seeing their margins shrink relative to the prosperity in adjacent service businesses. It is no surprise that such traditional product companies are seeking a “service strategy”.

For many organizations, this approach creates a dramatically different outside-in view of IT and business resources. When ITaaS is used effectively, the resulting solution drives transformation through the enterprise and helps IT evolve from a tactical role to strategic one that potentially leads to a competitive advantage.

In technology, the boundary between hardware and software is blurring. Software is infiltrating more and more technology products that used to function only by mechanical rules and analog signals. Google has created a driverless car that navigates itself with sensors and software. This trend is not stopping. Hardware-based technology companies often find themselves falling behind their innovative software counterparts in identifying new value for customers. In more dramatic cases categories of hardware technology got replaced by software. No one still buys radio or CD player anymore. Today software is threatening to replace hardware-based networking. The “commoditization trap” for hardware seems impossible to escape without a product strategy backed by software innovation.

The growing dominance of services and the disruptive innovations of software are the two megatrends that will shape all technology businesses in the next decade. To continue their success, hardware-based product companies need software and service transformations. Such transformation requires new approaches in how technology is developed, delivered, commercialized and consumed. This approach, which we callTechnology-as-a-Service (TaaS), is the rising future for technology sectors. This model has already been showcased in the computing industry. Today’s most successful companies in this industry are no longer HP or Microsoft, but are companies like Salesforce, Amazon and Google. Salesforce is well known for its Software-as-a-Service (SaaS) success. Amazon has expanded itself into Infrastructure-as-a-Service (IaaS). Google has always made available its technologies as services and are coming out with more services for enterprises.

Simply put, service is economic transactions of value without ownership transfer of the underlying asset(s) from the provider to the customer. TaaS is proprietary technology empowered by software and provided as “services”. Unlike the traditional generation of labor-based services, the services of TaaS are highly software-enabled, on-demand, customizable to business contexts, and often virtually delivered by a system of hardware, software and people. Unlike in traditional product model, TaaS uses technology tools to deliver dynamic functions and solve business problems in close collaboration with customers. A TaaS based business model uses software to increase its functional versatility, and leverages ecosystem to expand the scale of value created for the customer.

There are 10 important characteristics that set TaaS apart from traditional technology products and traditional services.

  1. Technology anchor.Unlike conventional service providers, a TaaS provider develops and owns proprietary technologies.
  2. Maintaining ownership.Services are delivered without fully transferring ownership of the underlying assets.
  3. Services should be unique to customer needs and can be customized accordingly.
  4. Traditionally, obtaining services but not ownership from assets often indicates sharing and the sacrifice of privacy. The printing service at FedEx is shared and non-private. TaaS however provides customers exclusivity without ownership. Exclusive service is a service rendered in a private and secure environment, where a customer has complete control on functions without interference from other customers.
  5. On demand.On demand means a resource or function can be activated and/or scaled whenever the business situation requires.
  6. Consumption-based transaction model.This means services are charged only when used, and the transactional unit can be counted at at micro level of functional usage.
  7. Virtual delivery.TaaS services are often delivered by a system consisting of machines/devices, data, applications, people and processes. Such service delivery assets should be freed from locational constraints whenever possible.
  8. In context.Unlike traditional technology products, which have features fully baked into shape coming out of factory, TaaS needs to deliver functions that are responsive to and shaped by business contexts.
  9. Modular means a component or function is self-contained with standardized interfaces, so that it can be utilized to build different systems or run disparate processes.
  10. Software-defined functions.Traditional hardware-based functions are fixed once out of the factory. From the customer’s perspective, software-defined technology functions are extensible and programmable; they have the flexibility to serve multiple purposes and create cross-functionality processes.images

In the next decade, TaaS will become the dominant model to commercialize technology. Apple transformed its business and then its industry by turning devices such as iPhone and iPad into personalized service hubs, supported by technology systems and business ecosystems. New technologies such as solar power and 3D printing are choosing TaaS models to go to market. Established technology companies including GE and Siemens are turning monitoring and diagnostics technologies into services.

TaaS is a proactive strategy against technology commoditization pressure, but it is also a strategic transition that must be carefully planned and executed. This is because a set of technical, commercial and operational capabilities would be required for TaaS, many of which can be new to product-based technology companies. A three-stepped approach, starting with “asset-based services”, moving to “function-driven services” and then to “business-defined services” allows a company to gradually build up capabilities towards a successful TaaS model. Companies that lead in this transition will create the future prosperity for the industrial sectors and the enterprise businesses.


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The Great Cloud Takeover

The Great Cloud Takeover

In an amazingly short span of a couple or so years, Cloud Computing has become an integral, perhaps even the most vital part of an enterprise’s IT Strategy. It has helped free-up a huge chunk of the IT from the constrictions of legacy software and hardware licensing data center models, and has opened, revolutionized and to an extent democratized the way IT delivers services and how the users access information, applications and business services.

But with the ever increasing impact the cloud has on IT, there’s also a palpable confusion about how its full value to business can be harnessed, mainly because of the continuous and rapid evolution of the cloud and its related technologies and the growing flux of vendors using portentous hyperbolic marketing speak to sell their cloud solutions.

In 2014, workloads in the cloud surpassed workloads in traditional IT environments for the first time. Since then, there has been a flurry of unplugging and replugging into the cloud. Last August, Netflix announced it was shuttering the last of its data centers, making it one of the first large enterprises to run all of its information technology in the cloud. The Netflix shift has been in the works for more than seven years, triggered after the media streaming giant was hit with a major hardware failure in 2008.

In October, General Electric announced that 70 percent of its enterprise workloads would migrate to the cloud by 2020. GE bills the move as the biggest transformation in the company’s 130-year history. The objective? To position GE as the premier digital industrial enterprise. Moving to cloud applications, GE contends, frees up vast resources it can use to focus on differentiating itself from competitors. It’s a smart strategy for the enterprise looking to thrive on its way from traditional to new.



Migration to the cloud has gone from a stream to a flood.

In 2014, workloads in the cloud surpassed workloads in traditional IT environments for the first time. Since then, there has been a flurry of unplugging and replugging into the cloud. Last August, Netflix announced it was shuttering the last of its data centers, making it one of the first large enterprises to run all of its information technology in the cloud. The Netflix shift has been in the works for more than seven years, triggered after the media streaming giant was hit with a major hardware failure in 2008.

In October, General Electric announced that 70 percent of its enterprise workloads would migrate to the cloud by 2020. GE bills the move as the biggest transformation in the company’s 130-year history. The objective? To position GE as the premier digital industrial enterprise. Moving to cloud applications, GE contends, frees up vast resources it can use to focus on differentiating itself from competitors. It’s a smart strategy for the enterprise looking to thrive on its way from traditional to new.


The Great Cloud Swell

This stream to the cloud is quickly becoming a swollen river. Indeed, traffic to the cloud will swell 33 percent annually over the next five years. By 2019, 86 percent of all workloads will be processed in the cloud. Just 14 percent will be performed in traditional data centers.

Internet traffic to the cloud is surging exponentially. Information flows between data centers are expected to grow at a much faster rate than traffic to end-users. And while the index projects overall cloud workloads are poised to grow at an annual rate of 27 percent between 2014 and 2019, public cloud growth is expected to top 44 percent annually. Private cloud (cloud services delivered to enterprises by their IT departments) workload growth will tick up at a much slower rate: 16 percent annually.


The Great Cloud Challenge

However, this flood to the cloud is not without challenges. Because cloud environments function fundamentally differently from the way enterprise IT typically runs—with different feature sets and management protocols—they introduce a layer of complexity. One solution is to integrate cloud and on-premise data center services—the hybrid cloud solution—under a single architecture supported by a single vendor.

The potential benefits are worthy of the journey. Migrating workloads to public or hybrid clouds delivers vastly more business value; value that manifests in terms of cost savings, flexibility, efficiency, and scalability. Yet, enterprises typically realize just 35 percent of this potential value, leaving 65 percent untapped.

Cloud is fast becoming a critical enterprise component. In this age of digital transformation, cloud means enterprise IT can focus on competitive differentiation, not digital plumbing. Ignore it at your peril.


Strategic Cloud Computing Trends that will drive cloud strategies through 2016 and 2017.


  • Hybrid Cloud Computing Is The Way Forward

Hybrid Cloud Computing means using a combination of public or private cloud services and physical application infrastructure and services.

As is evident from some recent developments/deployments, hybrid cloud computing is set to become an imperative, in the form of a unified integrated cloud model, consisting both internal and external cloud platforms that can be leveraged based on specific business requirements.

Industry Analysts and Cloud Experts recommend that enterprises should center immediate efforts on integrating the application and dynamic data infrastructures to form a hybrid solution. To avoid oversights and other glitches, they should set guidelines and standards for how the public cloud application services or applications will combine with the various components of internal systems to ensure an efficient hybrid environment.

  • Cloud Services Brokerage Is Going To Be A Key Strategic Role Of IT

Over the last year, Cloud Services Brokerage (CSB) has graduated from being an option to a key strategic factor for users and IT alike. CSB essentially involves a service provider playing a liaising role in assisting the consumption of cloud computing. CSB as a trend is predicted to gather speed over the next couple of years as users choose to use cloud services, independent of IT bureaucracy.

So what the IT critically needs to do to uphold its relevance and significance is to find ways to position itself as an Enterprise CSB by creating simple, flexible, and business user-centric tools and processes (for instance modifying internal portals and service catalogs) that facilitate cloud adoption and encourage end users to seek IT’s assistance.

  • Cloud Friendly Decision Frameworks Are A Business Imperative

Even the greatest skeptic now agrees that Cloud Computing offers a plethora of completely indispensible features and benefits, like cost-effective use-based models of IT consumption and service delivery, greater agility and lesser complexity. It also allows the IT to focus its resources on delivering new services that fuel innovation and accelerate the business.

Yet, the success of your cloud adoption completely depends on whether your decision making structure optimizes the gift of the cloud. You need to first ensure you alleviate any concerns that you have regarding the performance, security, availability, and integration. Once you’ve satisfyingly crossed these issues, you can go about planning, implementing and optimizing your cloud strategy.

  • Application Design Must Be Cloud-Optimized

Now the way organizations go about cloud computing is to basically just transfer their enterprise workloads to the cloud or an application infrastructure. This is a good approach where the workloads need a variable supply of resources or where the application logically adapts to horizontal scalability.

But to fully extract the potential of your cloud model to deliver truly gold standard world class applications, you need to start designing applications that are cloud-optimized from paper to practice.

  • Future Datacenters Need To Adopt Implementation Models Of Cloud Service Providers

In a cloud computing environment, the data center and other implementation details are handled by the service provider while the enterprise only concerns itself with service consumption.

But as enterprises carry on building/expanding their own data centers, they will be far better served applying the cloud computing implementation models of Cloud Service Providers to increase performance, efficiency, and agility.

Thanks and Regards

Vijay Jain

+91 9870291860

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Upswing continues in Indian Data Center Market


During his keynote address at vForum 2015 in Mumbai, Sanjay Poonen, Executive Vice President and General Manager, End-User Computing (EUC), VMware, drew the attention of the audience to a big popped-up photo on the giant screen and said a lot of things have changed in the data center and security segments since the man in the picture spoke on security and privacy. Poonen was referring to 32 year old, Edward Joseph Snowden, whose disclosure on numerous global surveillance programs run by different governments led to intense debate on data security and privacy, and finally catalysed the concept of data localisation, leading to indirect growth of the data center industry across the globe. And, the story for India, which has always been on the forefront of using technology, is no different.

The need to increase storage capacity, continuous rise of data usage, government focus on digitisation and the strategy of tech giants to diversify by establishing local data centers are propelling the demand for data centers across the globe. In India, this segment is also buoyed by the positive sentiments in the government projects such as Digital India, Make in India, Smart Cities and the strong resurgence of growth-related projects across different verticals such as manufacturing, e-commerce & retail, IT/ITeS, BFSI (primarily non-critical workloads) and emerging verticals like education, hospitality, healthcare and communications & media.

According to research carried out by Gartner, the value of the Indian data center infrastructure and solutions market will show a 5.2 percent increase year-on-year, totaling $2 billion in 2016. The research firm also believes that this segment will also be the fastest growing market, as spending is forecasted to increase 5.9 percent in 2016.

Even on the global level, the current macro trends driving the growth of data, and in turn the data center industry, more or less remain same – proliferation of tablets and smartphones, coupled with the content required to satisfy the seemingly insatiable end users. Billions of dollars are spent on data center infrastructure in order to meet the growing demands of businesses and their customers. Having the right data center infrastructure in place has become a kind of new “arms race” for companies trying to differentiate themselves and meet the growing demand in this crowded technology driven market. Says Sanjay Poonen, “It is the most exciting time to be in technology. Cloud, virtualisation, analytics and security are coming together in such a way that it is the right time for companies to be ready for any trend.”

The growth drivers

In India, around 2005, the trend shifted from paper-based to digital information management and therefore data centers became common and essential to the functioning of business systems for enterprises and governments. Apart from private data centers, the Government of India also set-up many data centers in states under the leadership of National Informatics Centre (NIC). Since then, the overall segment has moved so far that today cloud, mobility and virtualisation are not any more the technology trends that enterprises seek. These trends have gradually become mainstream.

“With technological advancement and most businesses expanding beyond geographical boundaries in the last couple of years, the generation and consumption of data has increased manifold, thereby creating a strong need for storage capacity. Additionally, the growth in software adoption with the proliferation of the cloud has made the concept of software-defined another business reality, with businesses adopting this model in the quest for efficiency, scalability and security,” says Srikanth Karnakota, who heads the server and cloud business for Microsoft India as Director. Karnakota also believes that the advent of digitisation across sectors and convergence of the “Digital Enterprise” has further fueled the demand for data centers.

Agreeing with the views of Karnakota, Ankesh Kumar who leads the product management & marketing at Emerson Network Power India as director says, “Cloud and virtualisation in the data center is no longer a myth with quite a few prominent players like AWS, Netmagic and Microsoft announcing extensive plans to invest in state-of-the-art data center facilities in the country.”

Many experts we spoke with, were unanimously of the view that factors such as – companies consolidating their collection of server rooms and data centers into centralised regional sites to cut cost; virtualisation and compression technology enabling companies to deploy more and use more data heavy applications; exponential growth of cloud based solutions and the need of cloud vendors for more data centers infrastructure to support their offerings – are giving steady pace to data center business growth in the country.

In India, the major demand is coming from the SMB and SME sector. They are mostly adopting hybrid cloud, which is a combination of on-premise and cloud offerings. Also, for reducing cost and risk, data center facilities are being designed and constructed from integrated, prefabricated modules. This approach enables organisations to develop fully customised, high performance data centers in far less time than it takes using traditional processes. Overall, the focus has shifted towards ensuring modularity with a razor sharp focus on maintaining energy efficiency.

Post Edward Snowden’s revelation, many countries including India are mulling to bring legislation on data sovereignty popularly known as data localisation and hence multinational companies are setting up local data centers in advance. Recently, we have seen some announcements from Microsoft on this front.

Analysts from International Data Corporation (IDC) expect the data center business to continue to increase for some time before these organisations also start looking at increased regulation and compliance issues. “Government approach in this regard would also matter with respect to the tenacity of regulations and verticals, going forward,” says Gaurav Sharma, research manager – enterprise & IPDS at IDC India.

Ankesh Kumar of Emerson Network Power also believes that capital expenditure, operating expenditure, along with regulatory compliance and security guidelines impact the decision of enterprises in setting up data centers.

Who is leading the growth

Many tech giants such as Microsoft, Amazon, IBM and NTT Communications, Tata Telecommunications and the government’s own National Informatics Centre are now racing to set up data centers.

Microsoft has commissioned three “hyper-scale” data centers in India. The firm has already started a private preview of these data centers with over 100 existing customers on board across different segments such as BFSI, government, manufacturing and start-ups. Microsoft will be spending Rs 1,400 crore on setting up these data centers. The company has already set up the cloud data centres in Mumbai, Pune and Chennai. Microsoft India’s cloud business is growing at over 105% annually and with the establishment of the local data centers, it is expecting a further acceleration in its business.

Amazon will establish multiple data centers in India in 2016 with an investment of millions of dollars. Amazon has 12,000 AWS active customers in India, across enterprises, small to medium size businesses, and startups. AWS is the pioneer in cloud infrastructure services and is the world’s largest in the space, with revenue expected to be $6.2 billion in 2015, out of Amazon’s overall revenue of over $90 billion (most revenues now come from the e-commerce business, but AWS is growing at 40-50% annually). Research firm Synergy estimates that AWS’s revenue from cloud infrastructure services in the first quarter of 2015 was larger than the combined revenue of its four main competitors – IBM, Microsoft, Google and Salesforce. Its Indian clients currently mostly use its Singapore data center.

IBM has already launched a 30000 sq. ft. cloud center in Airoli, Mumbai offering cloud services late last year and a second data center is expected to be ready later this year.

NTT Communications plans to invest $100 million in developing a new data center in Mumbai through its subsidiary Netmagic Solutions. NTT acquired Netmagic, a managed services provider, in 2012. The new data center will be spread across 300,000 square feet and host up to 3,000 server racks with 20-28 MW energy capacity. The company is likely to announce global cloud services to facilitate multinational companies.

Tata Communications will invest more than $200 million (Rs 1,200 crore) towards doubling its data centre capacity in India to 10 lakh square feet over three years. The company owns an undersea cable network and provides wholesale communication and data centre services to corporates. The Tata Group company leads the data centre market with a 31% share in India, and counts a global social media company among its customers.

Google’s investments in data centers in Asia are outside India. New investments will take Google’s data center investments in Singapore to $500 million and in Taiwan to $600 million.
US based, Pi Datacentres plans to invest Rs 600 crore to set up a facility in India and expects to start operations from March 2016. The data centre would be a purpose-built green field facility with a constructed area of more than 5 lakh square feet.

Nashik headquartered ESDS Software Solution is investing about Rs 335 crore to set up three data centres in India. The company will invest Rs 200 crore for the Navi Mumbai centre and Rs 100 crore for Bengaluru, while that for Nashik would be 35 crore. With this investment, the company will create a 2 lakh sqft data centre in Navi Mumbai, 1 lakh sqft data center in Bengaluru and a 50,000 sqft data centre in Nashik.

On the other hand companies such as Oracle are also mulling to set-up a data center in the country. Recently, in an interview to Express Computer, Prashant Ketkar, Vice President – Oracle Cloud, Oracle said, “As we focus more and more on India, we will have to think about a data center presence in the country. We are in the process of figuring out how we can get more involved and how can we facilitate that. When is the right time to make the investment and how can we overcome some infrastructural challenges like shortage of electricity grids etc. We do see ourselves setting up a data center in the future.”

Key obstacles and hurdles

Adopting efficient technologies and architectures for proper space utilisation; building an architecture and design for minimum redundancy; constant updation and skill building; maintenance and increased SLAs; optimisation and cost efficiency with converged infrastructure, Flash, SDI etc; getting more budgets and energy efficiency are some of the continuous challenges that every enterprise organisation needs to work on. However, one of the most challenging tasks has been security. In fact, in the recent past, it has proven to be both a boon and bane. On one hand, due to security concerns, companies are forced to open data centers across different locations and on the other hand, due to security fears, some companies are unable to move to cloud or adopt virtualisation.

“This is true to a certain extent. Giving physical control over to a third party is sometimes challenging – especially in the context of security. The other way to look at it is that, now one has access to the best in class security frameworks as the capital expenditure is shifted to cloud operators. However, a combination of private and public cloud federation can alleviate most of the issues,” says Sajan Paul, director – systems engineering, India & SAARC, Juniper Networks.

Adding to what Sajan opined, Rajesh Shetty, Vice President – sales – South, Cisco India, says “While considering the overall framework, security is a very important requirement as multiple mobile devices connect to the network, specifically with regard to the mechanism for these devices to connect wirelessly to the network.”

What lies ahead

With proliferation of e-commerce, focus on digitisation and India being the nerve center for major IT activities, the demand for high storage will continue, resulting in phenomenal growth of data centers in the country.

In India, Mumbai, Chennai, New Delhi, Bangalore, Kolkata are the most favourable sites for setting-up data centers. In fact, Mumbai’s location facing the west coast is perfect as it is well connected as multiple submarine cables land in this region, going through the middle east to Europe and the other way through South East Asia. On the other hand, Cochin longer down the coast is also connected to multiple of submarine cables, which also makes it an attractive destination.

“In the future, large enterprises will continue to invest in infrastructure replacement and growth related projects covering enterprise mobility, cloud and big data solutions. Also, they will be focusing on building intelligent data centers that focus on optimising existing hardware assets by using additional software capabilities. This will drive increased attention on newer trends such as public cloud and integrated systems,”opines Paul of Juniper Network.

While data security and regulatory concerns pose a big challenge for many enterprises in the global data center industry, it is also creating a massive opportunity for those firms that are able to help customers manage the compliance risk and shape this through their data center strategy. Like global CIOs and CTOs, the strategy of many of the Indian tech heads revolves around a hybrid data center approach that involves a blend of many strategies such as renting data center space, turning over some applications to a Software as a Service (SaaS) vendor or disaster recovery (DR) to an Infrastructure as a Service (IaaS) provider, and continuing to update and virtualise their own data center infrastructure and develop an internal cloud. As IDC observes, the future continues to lie in a hybrid data center.

In the future, the growth will be primarily driven by data center hosting players, high speed Internet bandwidth service providers, hardware vendors, power and cooling solution providers, and system integrators. As the market expands, some new players other than IBM, Microsoft, AWS, Netmagic, Tata Communications, may also move into the data center investment market. And as the market continues to mature, it is likely to see greater creativity and complexity being used in terms of the investment structures and options available.