Enhanced Cloud Security: Hentsū Seizes Another CSA Certification

Digital transformation is fast becoming a key focus in modern-day tech. With the increased use of big data and cloud computing, companies are swiftly transitioning to cloud-based security services. With this massive shift, businesses now are concerned with securing sensitive data that’s stored in the cloud. Respective clients frequently ask for validation and assurance regarding necessary security and privacy measures. CSA Star attestation brings us one step closer to enhanced cloud security and helps us meet the today’s need for privacy, security, compliance and so on.   As a result, broadening cloud security options is the way to go. To reflect the modern-day cloud technology landscape, Hentsū has enhanced its method of provide cloud users with comprehensive security and an improved cloud environment. Hentsū is once again part of the Cloud Security Alliance Registry and is thus reasserted as a prominent cloud security service provider two years in a row. The acknowledgment represents another vital steppingstone towards modernizing cloud technology and aligning cloud assurance with ground-breaking technology.   With certified security and reliability of cloud services, clients are now able to get a detailed account of various security facets, including audit assurance and compliance, application and interface security, business continuity management and operational resilience, change control and configuration management, data center security, infrastructure and virtualization security, threat and vulnerability management, and so on.   Continuously performed DR (Disaster Recovery) and in-depth BCP (Business Continuity Planning) are part of the package. Hentsū strives to get into business impact analysis, risk assessment and general business continuity strategy. DR comes into play to evaluate all backups and making sure that redundant equipment vital to recovery is up-to-date and working.   

About CSA 

The Cloud Security Alliance (CSA) is the world’s leading organization dedicated to defining and raising awareness of best practices to help ensure a secure cloud computing environment. CSA harnesses the subject matter expertise of industry practitioners, associations, governments, and its corporate and individual members to offer cloud security-specific research, education, certification, events and products. CSA’s activities, knowledge and extensive network benefit the entire community impacted by cloud — from providers and customers, to governments, entrepreneurs and the assurance industry — and provide a forum through which diverse parties can work together to create and maintain a trusted cloud ecosystem. 

Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Case Study: AWS Landing Zone

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 The Challenge 

In the following case study, we will be exploring how Hentsu has employed AWS (Amazon Web Services) Landing Zone as a time-saving solution to setup a reliable environment for running secure and scalable workloads.  

An established firm based in the U.S. have contacted Hentsu to help them reorganize their cloud estate and supply a foundation for a much more modular and scalable infrastructure. The customer started their cloud journey just like most companies do. A single AWS account was created where people started experimenting. Not long after that, one AWS account lead to the creation of another, resources were deployed all over the place without a clear strategy or guardrails to protect the company from any potential risks.  

Our customer was facing many challenges in managing their infrastructure. Some of which were:  

  • No clear separation between production or development resources. 
  • Decentralized networking with multiple exit and entry points. 
  • Manual deployments that are error prone and rely on key people to perform. 
  • Unidentifiable resources deployed in multiple regions. 
  • Non-existent data classification and protection.  
  • Hundreds of S3 buckets with inconsistent policies and encryption settings. 
  • Tens of IAM users with static access keys that have not been rotated for months. 
  • Inconsistent naming conventions. 
  • Non-existent billing/budgeting strategy. 

It was clear to our customer that growing and sustaining their current infrastructure will be exceedingly difficult. They were looking for a ‘soft reset’ that will get them in the right shape and supply the missing foundation for their infrastructure. 

 

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DOWNLOAD THIS CASE STUDY

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document icon Key Considerations 

  • The solution needs to be fully managed using code. 
  • The migration of the existing infrastructure should be planned, and disruptions kept to a minimum. 
  • Security and data protection should be high priority in the architectural design. 
  • The solution should be future-proof and allow for drastic changes in business needs without the need for rearchitecting. 
  • There should be a clear separation between development and production environments. 
  • Billing should be transparent and easy to understand with the ability to create custom reports based on usage, cost centre, environment, ownership, and so on.
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  The Solution – AWS Landing Zone  

After careful examination of the needs of our customer and multiple discussion sessions we have decided to implement a Landing Zone for them. This was the perfect opportunity to use AWS Landing Zone, as a solution.   

What is a Landing Zone? 

A landing zone is a combination of best practices, well-designed architectural patterns and added features. The main goal for the landing zone is to bring structure, modularity and to alleviate the maintenance overhead through well-defined policies and rules. The landing zone consists of Core Accounts (Core), which act as the "control plane" of the infrastructure and Business Unit Accounts (BUs). The BUs are the pluggable accounts, which host your infrastructure resources. The goal of this separation is to is to keep your Core accounts static and allow you to add or remove BU accounts on demand without having an impact on the overall framework. 

Another key part of AWS Landing Zone as a solution is the ability to centralize policies and define an overall perimeter control of the cloud organization. 

 

Infrastructure as Code 

We started by deploying a brand-new landing zone for our customer. This automatically supplied the crucial foundation for a manageable infrastructure. The deployment is fully automated using Terraform and it takes less than 15 minutes. This change was also the fundamental change in our client's perspective towards infrastructure management. We have played a key role in the adoption of Terraform in their environment and helped them design deployment processes based on automated pipelines and automated orchestration using Terraform.  

Account Structure 

The key in having sound infrastructure design is to make sure most of its moving parts stay decoupled. With that in mind, we have prepared an account structure that allows AWS accounts to be added or removed on demand. Our customer is now able to extend or shrink their cloud environment without having to rearchitect their core infrastructure. 

 

Security Features 

The landing zone is loaded with security features by default. We have deployed Service Control Policies to help us enforce protections globally. Deploying resources outside of whitelisted regions was denied, unencrypted S3 buckets or public access on buckets was denied, changes to the network infrastructure was only allowed to Network administrators etc. 

We have enabled Amazon GuardDuty to supply intelligent threat detection and continuous monitoring of the environment.  

AWS Security Hub was also enabled to make sure the security posture of the environment is on track with the latest security frameworks.  

AWS Config and many security rules were deployed to not only alert us on unusual configuration changes but to automatically take remediation actions against these changes. 

Our client is also using DarkTrace as their threat detection solution, so we have enabled that in conjunction with GuardDuty. In doing so we supplied even more comprehensive security view of the environment. More importantly, everything is powered up by sophisticated AI threat evaluation models. 

 

Audit Logs 

Absolutely any action in the cloud environment is recorded and kept for a specified time. This includes AWS accounts that are active plus any accounts that have been part of the landing zone but then were terminated. The customer has decided to keep their audit logs for at least 5 years. 

 

Network Centralization 

In the pre-existing environment our customer was dealing with multiple VPCs and a full mesh of VPC peerings. The landing zone brings with itself a Transit Gateway deployment, which helps to centralize the network. We have deployed two firewalls, each in a separate availability zone for redundancy. We then changed each Transit Gateway route table to make sure any traffic leaving or coming into the environment is first evaluated by the cloud firewalls. This supplied an instant simplification of the current network setup and allowed the network team to have a complete visibility of their network perimeter. 

 

Workload Separation 

It was clear that production and dev workloads were mixed up in the pre-existing environment. Anyone could just stop a production EC2 instance or delete an S3 bucket with an important data in it. 

We have decided to create added AWS accounts to help isolate the current workloads in their own bubble. Development and Production resources were rehomed to their new accounts. This at once supplied access and billing separation between the two workloads. It was now clear to the accounts team how much development and research is costing vs production. It is not possible to accidentally shutdown or delete production resources anymore as the access needed for the production account is different compared to development. 

 

Data Protection 

We have employed the use of KMS keys to ensure that all data at rest is encrypted. Data in transit, even within the VPC was also encrypted using technologies like TLS. Unencrypted and unprotected resources are automatically flagged by AWS Config making it impossible for the cloud environment to stay out of compliance without people being notified about it. 

 

Consistency 

In the pre-existing environment we had resources either using different naming conventions, tags or not having any tags at all. Through the Security Control Policies and Tag Policies that AWS Organizations provide, we were able to define and enforce a tagging/naming strategy. It is no longer possible to create resources without following the global tagging policy. 

 

Cost Control and Billing 

The combination of a solid tagging strategy, billing consolidation and good account structure allows for much granular and flexible cost reports to be generated. Spending additional sessions with the accounts team helped us better understand what billing reports will supply most value to them. We then enabled additional cost categories and cost allocation tags to match their requirements. 

Both soft and hard budgets were created to ensure unexpected costs are under control. Hard stop budgets were carefully designed to stop only resources that are not business critical (e.g. development instances). As another cost optimization strategy, we have bought Savings Plans for the core compute resources with the choice to expand the reservation based on the long-term business plans.

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 Impact 

This project allowed us to reap the benefits of AWS Landing Zone. The radical change from having multiple standalone AWS accounts to using a Landing Zone with clearly defined control plane, security policies and centralized management have allowed our client to better focus on their present and future tasks without worrying the infrastructure will support it. 

The development team was able to self-serve their way in the unique environment without having to worry about performing breaking network changes or accidentally removing production resources. This additionally increased the speed of developing, testing, and releasing new features. 

The customer started their journey towards managing infrastructure using code and happily adopted the Git workflows we have designed for them. It is now easy for them to peer review changes, roll back and supply a history of all changes ever made in the environment using their CI/CD platform. 

It is no longer a mystery to find who is the owner of a given resource. The naming conventions and tag policies have allowed for the creation of a truly consistent and self-describing infrastructure, making it easy even for new joiners to navigate around. 

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Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Hentsu Tech News Round-up #19

Unfolding before us is the new digital market. The latest services and tools arriving from some of the chief cloud providers are showing how much the digital scene is evolving towards the public cloud. Various advantages are brought to diverse fields, including healthcare, business, and so on. Focusing on cloud tech, we also see benefits for the gaming industry. Read more about these topics in our fresh weekly tech news round-up.

How Namespace and Terraform Can Manage Kubernetes Environments

There are so many different aspects to Terraform. It's an open-source tool that's becoming increasingly popular with each month. Here at Hentsu we have already introduced some of these benefits. It now a vital building block for cloud deployment. This particular article offers additional advantages of Terraform. Specifically, it goes into detail about how Kubernetes can be managed using Terraform? Word is: "As a cloud-native technology that is deployed at wide scale, it’s quite common to manage the deployment of the infrastructure of Kubernetes clusters using Terraform. And where you have many clusters to manage (Dev, Staging, Production, etc.), Terraform allows you to maintain a consistent configuration for the cluster and underlying infrastructure while creating as many clusters as you like with the same configuration in a reliable and easy way." Read the full story at Hackernoon. Also, if you are eager to understand more about Terraform, check out our latest Terraform how-it-works infographic.

Understanding Hybrid Cloud With AWS

Both Microsoft and Amazon continue to adapt their services and solutions towards hybrid cloud. Amazon, for instance, is now pushing its services AWS Outposts, which enables AWS compute (using Intel® Xeon® Scalable processor tech in Amazon EC2 instances), storage, database and other services to run locally. Now these services are bringing benefits to healthcare and life sciences, telecommunications, media and entertainment, gaming, financial services and more. Have look at this segment on financial services "Financial institutions can build next-generation trading and exchange platforms that serve all participants at low latency, using AWS services and programming interfaces. Banking, payments-processing, and risk-management services can be delivered to customers and financial clients from in-country locations, to meet data-residency requirements." Forbes has the full story.

Azure Arc - Extending Microsoft Cloud Services To Data Center And Mainstream Cloud Platforms

Microsoft has been focusing a lot on hybrid and multi-cloud strategy; enter Azure Arc. In a nutshell, with the utilization of Azure Arc, “customers can bring existing infrastructure running on-premises or other public cloud environments into Azure’s fold. Once registered, they can manage virtual machines and Kubernetes clusters deployed in Azure, on-premises environments and even non-Azure cloud platforms. One of Arc’s key capabilities is running a subset of Azure data services in Kubernetes clusters registered with Arc. Branded as Azure Arc enabled data services, the service supports running Azure SQL Managed Instance and Azure PostgreSQL Hyperscale in on-premises data centers, multi-cloud and the edge." Also: "With Arc, customers can bring existing infrastructure running on-premises or other public cloud environments into Azure’s fold. Once registered, they can manage virtual machines and Kubernetes clusters deployed in Azure, on-premises environments and even non-Azure cloud platforms. One of Arc’s key capabilities is running a subset of Azure data services in Kubernetes clusters registered with Arc. Branded as Azure Arc enabled data services, the service supports running Azure SQL Managed Instance and Azure PostgreSQL Hyperscale in on-premises data centers, multi-cloud and the edge." Continue the story at Forbes.

Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Serverless Computing: AWS vs. Azure vs GCP Cloud Comparison

For well over a decade now, we’ve seen Microsoft, Google and Amazon competing fiercely in a cloud services war, with serverless computing being one of the biggest battlefields. We have been talking about various serverless technologies on numerous occasions here at Hentsu. For the most part, the term ‘serverless’ actually relates to a variety of topics, from public cloud technology in general, to ephemeral computing and grid computing. Now, let’s take a step back first to understand how things work.

Serverless Computing Explained

With the utilization of serverless computing, any company can essentially devote all efforts towards the core business without worrying about the underlying infrastructure that supports it. The business is charged by the serverless vendor based on computation. The benefit, of course, is not reserving and paying for any fixed bandwidth or servers being used. In short, serverless computing removes infrastructure management tasks like server or cluster provisioning, patching, OS maintenance, and so on.

Misconception About Serverless

The name ‘serverless’ can actually sound confusing to those who are unfamiliar with its purpose. So, serverless does not involve the exclusion of servers when running workloads, distributing applications, etc. Using serverless or rather serverless architecture is a reference to the basic notion of developers utilizing software that’s hosted within the public cloud space. Software developers use serverless tech to compose code and then run that code on a cloud platform, and then directing that code towards a specific task or goal.

AWS – Pros, Cons and Tools

Amazon is a powerful force in the realm of public cloud. The sheer amount of operations, services and tools that are being handled and delivered via AWS is staggering. All these services are pushed through a strong network of data centers. This unlocks an array of capabilities, massive resources and being able to handle a large number of users. AWS continues to grow at a breath-taking pace. It successfully outmatches its chief competitors (MS and Google) on various aspects.

AWS Tools 

AWS features next-generation tooling, and they are very good at pushing it forward. SageMaker, for instance, is a powerful service used to label, build, train, fine-tune and deploy machine learning models. Amazon also uses Lex, to power its Alexa services, its Greengrass IoT messaging service as well as Lambda (used for serverless computing). Lex unlocks a cutting-edge deep learning facets involving automatic speech recognition (ASR). It converts speech to text, and natural language understanding (NLU) to understand the point of the text. Building applications with these tools allows businesses to engage with users better than ever before. On the DevOps side, AWS also has a variety of in-house offerings. For developing and implementing code, you can opt for CodeCommit, CodePipeline, CodeDeploy, and more.

Lambda as a Business Model

Lambda is AWS’s main feature when it comes to serverless. With Lambda customers use a unit of code for a function or a task, to achieve certain results. The customer leases this piece of code for a certain amount of time until the required tasks are carried out. AWS then charges for the memory that’s used to carry out the function, and for the time this function or service is active. Simple and highly effective. To give you a bit more perspective on this, Lambda is tool that powers the biggest internet TV network, Netflix. Remember, this is a network that boasts over 190 million subscribers as of Q2, 2020.

Machine Learning and AI

In addition to SageMaker, and other AI-based tools and services, AWS also delivers something called DeepLens. This is AI powered camera is utilized for developing and deploying machine learning algorithms for optical character recognition, object recognition, image recognition, and so on. AWS also uncovered Gluon, which was created as an open-source deep learning library for both developers and non-developers. It’s used to build and quickly train neural networks, but without requiring any knowledge of complex AI programming.

The Cons  

Amazon does have a disadvantage and a lot of enterprises working with this particular public cloud provider will know it. AWS’s cost structure can be a bit difficult to understand. If a business runs complex and heavy workloads via AWS, managing costs effectively will not be easy. Such a drawback tends to ward off enterprises from using AWS services. To be fair though, Amazon's vast array of tech, cloud-based services and tools, usually counterweighs these drawbacks.

Microsoft Azure – Pros, Cons and Tools

Serverless computing is a very hot topic on today’s tech market. There is a common misconception that Microsoft came late to the party. What Microsoft did is simply give itself a powerful kickstart by repurposing its own valuable software for the cloud. This includes Office, SQL Server, Windows Server, Dynamics Active Directory, .Net, Sharepoint, and more. Microsoft’s solutions and software have remained in use over the years. All these solutions are neatly integrated into the Azure suite, which remains the chief benefit of this provider. So, when users jump into Azure, they are usually quite familiar with the surroundings. Such characteristics build loyalty, especially from existing MS users and enterprises. For instance, Microsoft offers discounts for enterprises who are already using their software and this gives them a huge advantage over the competition.

Azure Serverless

On the serverless computing front, Microsoft has quite a few things on offer. Their services include powerful DevOps and helpful tools. These allow developers to build serverless applications from their own developer environment. Therefore, you can easily build, test and deploy functions, containers, and Kubernetes-based apps. Another benefit is getting cloud-hosted private git repos utilizing Azure DevOps. Setting up continuous integration/continuous delivery (CI/CD) is straightforward as well. Other advantages denote automatic package management, automatically triggering builds, and deploying to Kubernetes, Azure Web Apps, and so on. All of this is massively valuable for DevOps purposes. In response to AWS’s Lambda, Microsoft launched Azure Functions, their own powerful serverless computing tool. It is now used across the globe for simplifying complex orchestration challenges, faster solutions development, swift code deployment across multiple targets, and more.

ML for Serverless

That’s right, MS has its own way of employing AI and ML (Machine Learning) to improve your productivity. It’s possible to build, train, and deploy models on Azure Machine Learning. What’s more, Microsoft’s DevOps for machine learning lets you imbue your serverless apps with highly effective AI and machine learning algorithms. They’ve also introduced cognitive computing, which enables your serverless application to “see, hear, speak, understand and interpret” the needs of users via natural methods of communication. The complex process is accomplished with Azure Cognitive Services and using an API. MS also utilizes chat bots. The Azure Bot Service interacts intelligently with users via Skype, Microsoft Teams, Slack, Office 365, and Twitter.

The Cons  

On the negative side, huge traffic during the COVID-19 crisis has taken a toll on Microsoft’s communication apps such as MS Teams. However, the company strives to improve this with each passing month by adding a variety of features and functionalities. Of course, a major disadvantage that comes to mind with Azure is vendor lock-in (to be fair, that's a problem for any PaaS solution). Over the years, Microsoft's Azure Functions was said to have downsides. Deploying, authoring, testing, and executing a function was often too hard in any environment outside of Azure and the Azure portal. Mind you, it's already being stated that MS has made efforts to improve this.

Google Cloud Platform – Pros, Cons and Tools

Experienced users instantly know the biggest benefits of Google Cloud Platform (GCP). Google is known for creating the Kubernetes standard. Their specialty involves high compute offerings. As a provider, they are known for featuring significant scale and load balancing. While Google Cloud competes on the market with powerful resources, they have hit the cloud market much later than AWS or Azure. They are not focused on enterprise, albeit they did launch cutting-edge tooling for DevOps. When it comes to machine learning, the company has presented some ground-breaking solutions as well.

Cloud Functions, App Engine, Cloud Run

Using the provider’s Cloud Functions gives you a chance to spin up code on demand, responding to events that originate from anywhere. It’s simple to create applications that scale from zero to global-scale. This is accomplished without provisioning or managing a single server. With App Engine, you can utilize well-known dev languages and tools. With zero server management or configuration deployments, developers can focus on building highly scalable applications without large management overhead. Furthermore, Google’s Cloud Run allows you to Run stateless HTTP containers on a fully managed platform or on Anthos. Also, another option is to utilize an open API and runtime environment built on Kubernetes – Knative. This enables you to run workloads anywhere. Google’s huge advantage is its proprietary tools. For example, BigQuery and BigTable are based on Google’s ‘Colossus’ structure. The company utilizes Colossus for its own search architecture. Other providers can’t quite match that scale. Furthermore, another cool addition to G suite is Spanner. This product features atomic clocks to keep SQL databases synchronised between their data centres.

Google Compute

In all fairness, Google Compute is more the equivalent of AWS EC2 or Azure VMs, but it’s still a solid benefit of this provider. Google highlights this as their services and their basic compute platform. Supporting Windows and Linux, users can custom configure their platform or a get pre-defined machine type. As you’d expect, GCP concentrates on Kubernetes deployment, since this is the provider’s area of expertise.

The Cons

As we mentioned earlier, Google has arrived a bit late to the cloud market. Consequently, the offerings aren’t as rich and varied as that of its Amazon and MS counterparts. Google doesn’t boast the number of global data centers like Amazon or MC – although it’s been noted that they are expanding in that area. Historically, in terms of moving to the cloud spaces, large businesses do not opt for Google too often. Google proved to be more of an DevOps focused and open-source focused provider. In terms of storage solutions, Google is a bit lacking, with poor backup options. Mind you, the provider does offer SQL and NoSQL support.

Anchoring Your Business to the Right Serverless Strategy

An enterprise may choose to rest its entire business process on the shoulders of any of the three public cloud providers. But in terms of serverless development and serverless technologies, it’s fundamentally about setting up the right strategy for your own business. To point is to anchor your business with a strong value to push it forward. In some instances, serverless tech is an improvement, especially given the powerful cloud resources that become available at the push of a button. When we are talking about applications that are custom-tailored for serverless, that's usually the best way to go considering some of the massive benefits of serverless tech. Many businesses are still worried about how and when they should change cloud providers, or if they should do that at all. The key factor to remember is that with serverless technology, you are not necessarily making radical changes to your business. What you are doing is modernizing your business and letting it evolve and grow.

Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY

Hentsu Tech News Round-up #18

In this week’s Hentsu tech news round-up we talk gaming, cloud computing, the impact COVID-19 had on the market and more. To check out previous weekly news stories, head over to our main blog page.

How to Diagnose and Treat Machine Learning Models Afflicted by COVID-19

We have seen endless reports about COVID-19 disrupting the lives of millions of people worldwide. In addition, the global pandemic is affecting businesses, companies and technology in general. The scoop now is that there was a major impact on a variety of machine learning (ML) models, which are utilized by businesses to predict human behavior. Now the goal is to thoroughly examine ML models to gain the knowledge to further update models and new business rules. Such efforts already yielded massively positive results. Here's a snip: “The economic disruption of COVID-19 has been unprecedented in its swiftness, upsetting supply lines, temporarily closing retail stores and changing online customer behaviors. It has also dramatically increased unemployment overnight, increasing financial stress and systemic risks of both individuals and businesses. It is forecasted that global GDP could be affected by up to 0.9%, on a par with the 2008 financial crisis. While the nature of our recovery is unknown, if the 2008 crisis is any indicator, the impact of COVID-19 could be felt for years, through both short-term adjustments and long-term shifts in consumer and business behaviors and attitudes.” Discover more over at TechCrunch.

The Official PlayStation 5 Launch Date and Price Revealed

Yes, we are fully aware this particular piece of tech news is not specifically related to cloud computing, machine learning or quantum computing. However, Sony's upcoming PlayStation 5 represents the next chapter in the video game industry. Still, we did mention that certain features of the new gaming hardware will include cloud functionality. Anyhow, countless gamers are fired up and waiting for the console's launch. Sony finally confirmed the launch date as well as the price, via their offical PlayStation blog. Here's the word: "As we have just announced in our PS5 Showcase, we’re only a couple of months away from launching the next generation of play. Starting on November 12, PS5 will be available in seven key markets: the U.S., Japan, Canada, Mexico, Australia, New Zealand and South Korea. The global rollout will continue on November 19 with launches throughout the rest of the world*, including Europe, Middle East, South America, Asia and South Africa. PS5 Digital Edition will be available for a recommended retail price (RRP) of $399.99 USD/$499 CAD/¥39,980/€399.99/£359.99 (MSRP), and PS5 with an Ultra HD Blu-ray disc drive will be available for an RRP of $499.99 USD/$629 CAD/¥49,980/€499.99/£449.99 (MSRP). Pre-orders will be available starting as early as tomorrow at select retailers, so please check with your local retailer." Read more over at the PlayStation Blog.

SMBs Using Cloud See 15-20% Reduction in Operational Costs: NASSCOM

There are more positive stories emerging during the ongoing COVID-19 crisis. Digital transformation of companies and industries is indeed taking place. But how is the industry and technology changing? Well, there are three technologies that keep pushing the industry forward — cloud computing, big data analytics and cybersecurity. It appears that “A National Association of Software and Services Companies (NASSCOM), IT industry body, study shows that small and medium businesses (SMBs) that adopted cloud have seen 20-25 per cent increase in productive gains and 15-20 per cent reduction in operational cost.” What’s more, "Of the over 1000 SMBs surveyed, as much as 60 per cent said they have adopted cloud, though about half being at early stage of adoption. In sector-wise adoption, technology-first segments, including e-commerce, IT-BPM firms, lead in cloud adoption followed by BFSI, media and entertainment, retail, automotive, healthcare and manufacturing as the other emerging verticals." Read more at Entrepreneur.

Date/Time

Date(s) - 01/01/1970
12:00 AM - 12:00 AM

Location

600 5th ave. NY, NY