Powering on-demand-video

While hyperscale data centers are already changing the way OTT players operate, the adoption of Blockchain will be a real game-changer for the sector.

Coronavirus is one word that took the world by storm. Literally, panic is in abundance; public transport is shut, and work from home is a norm these days. However, there is something else that is gaining popularity amongst those stuck at home in these times of crisis – OTT media platforms like Netflix, Amazon, Disney TV, Hotstar, etc. The OTT trend has picked up so much during the pandemic times that Nielsen has predicted a 60% increase in that online streaming making it necessary for players like Netflix and Amazon Prime, amongst others, to adjust their business strategies.

Thanks to deep internet penetration, cheap data, and exciting content, video consumption has been on a growth trajectory in India for some time now. The latest BCG-CII report indicates that the average digital video consumption in India has increased more than double to 24 minutes per day from 11 minutes over the past two years. As the report rightly points out, the rise in these numbers are also because of the increase of the OTT players in the country.

Over-the-top world view

There is no doubt about the fact that OTT technologies have disrupted the Indian entertainment landscape. Subscription-based, on-demand OTT platforms like Netflix, Hotstar, and Amazon Prime are slowly and steadily becoming the preferred medium of entertainment for modern Indians.

The shift in viewer sensibilities has propelled the growth of the country’s OTT industry. As per a Boston Consulting Group report, the Indian OTT market, which is currently valued at USD 500 million is expected to reach USD 5 billion by 2023. The television sets are also now becoming smarter. They are now catering to the needs of these OTT technologies by making their content available in a high-quality viewing experience. No wonder that the India television market is projected to surpass USD13 billion by 2023, led by these new breeds of Smart TVs on the block.

What powers the OTT?

CDN or the content delivery network is the infrastructure through which OTT content is delivered to the end customer. Simply put, CDN is hosting the original content – video, picture, etc. – on a central server and then sharing it remotely through caching and streaming servers located across the globe. Hence, a relevant network capacity planning feature built into the CON is required to monitor network traffic and plan the capacity increase ahead of time.

Video storage on the cloud

Video files are unusually large. To compress them on the fly and stream them on-demand to hundreds of millions of people with high resolution and minimal latency requires blazingly fast storage speed and bandwidth. It is a technological nightmare. With the growing quantity and sophistication of OTT video content, there is more traffic, more routing, and more management across the CDNs.

The OTT players typically rent space in the cloud to store their data. As their content keeps expanding and setting up the infrastructure means huge capex, there is a need for a high level of expertise in this ever-changing and updating technology landscape. Hence, going to a third-party service provider makes complete sense. This makes life extremely simple for everyone as the only thing that now needs to be done is for the user to ask for a specific file to be played, and the video player, in turn, will ask its content delivery network or CON to fetch the desired content from the cloud.

Need for speed

The need for speed, scalability and network latency are driving OTT players towards Hyperscale Data Center service providers. They need all three in major proportions and 24x7x365 days, without a glitch even during or rather more during times of crisis like the current COVID-19 situation. Since the current and future demand of these players cannot be fulfilled by traditional data center players, they need are hyperscale data centers that can scale up the provisioning of computing, storage, networking, connectivity, and power resources, on-demand.

These data centers are designed and constructed on large land banks with expansion in mind. Also, they are created with the idea of absolute agility. Something highly desired by the OTT players. The OTT players are looking for service providers who can quickly increase the bandwidth and the storage capacity during high streaming and downgrade during slow times.

Redundant connectivity, local internet exchange and national exchange connectivity are also some of the things that an OTT player looks for in a data center and will find it more easily along with everything mentioned above in a hyper-scale facility.

Recently Spotify, the Swedish streaming giant had to shell out USO 30 million in a settlement over a royalty claim by an artist. With Blockchain, you can deploy a smart contract as well as it can be used to store a cryptographic hash of the original digital music file. The hash associates the address and the identities of the creator.

Another trend that will be a game-changer for this industry is SG. With SG, the next generation of networks will be able to cope better with running several high­demand applications like VR and AR. This will change the way content is developed and looked at on OTT platforms. It will also, however, make the role of hyper­scale data center more critical. The networks will ultimately be in them, and they will be the actual load bearers of it all.

Desktop as a Service (DaaS) vs. Desktops: Cost, Compliance, Security & Business Continuity

Is DaaS Right for You?

How CIOs can navigate Covid-19 disruptions

The world has almost come to a standstill amid the COVID 19 pandemic. Rapidly integrating digital technologies is the only way for businesses to remain resilient and navigate the disruptions that CIOs are encountering every day.

CIOs today have their backs against the wall to realign priorities, strategise to maintain business continuity, and rethink their long term-short term strategies. Increased use of virtual communication while being the key to carrying on the operations in such unprecedented times, is adding more responsibilities for IT teams.

Here are some key considerations for CIOs while rethinking their strategies for companies to transition into being entirely digitally enabled during, and even after this phase.

Digital transformation is the key

Most of the global companies, along with their CIOs, have started working on a digital transformation plan or have one already in place to curb the impact of COVID-19 to the minimum. It is the responsibility of CIOs to ascertain if companies can manage the enormous workload while working remotely.

Sectors like banking, education, IT, etc., where they didn’t even consider working from home as an option, are now not only working remotely by teleworking with their teams and clients but also holding virtual events such as webinars to keep their customers and employees engaged.

Going digital would also lower operating expenses and extra workload that comes with traditional methods. Cloud and colocation data centers played a massive role to bring workplace 2.0 into existence. Accessing data, working on a shared document and collaborating with team members has become possible due to cloud technologies. CIOs must ensure that their company understands the importance of digital transformation and that if not restructured into a digital environment, they would be running a high risk of being replaced by the ones who were quick to adopt a digital model.

Security is the need of the hour

Cyberattacks are one of the critical threats that CIOs are facing during this unplanned and sudden shift to the virtual workplace. According to Cloudflare, cyber threats have increased by almost six-times their usual levels over the past few weeks of the COVID-19 pandemic. Companies should reassess the risk tolerance capabilities of their IT infrastructure. One of the effective ways to tackle the situation is to move towards ‘Zero Trust Approach’. CIOs must focus on cloud infrastructure with identity providers like Azure or Okta to enable Multi-Factor Authentication (MFA) as the central point of authentication. For on-prem infrastructure, VPN and remote access gateway are likely to be the risk areas. CIOs must be ready with a backup plan to patch immediately.

IT investments for a secure future

A survey by IDC has shown that the IT spending growth forecast has slid down to 2.7 per cent from 5.1 per cent within three months. However, cloud and security are the two identified key areas for sustainable crisis response. The pandemic has reinforced the significance of cloud and colocation data centers industrywide. The data center service providers have provided great support while making the shift to online working culture. CIOs are reducing the spend on futuristic technologies and limiting it to what is needed at the moment for business continuity.

Right communication with internal and external stakeholders

It is imperative to take proactive steps and ensure that you have regular communication with your customers so that they are updated on all developments and feel secure. Customers and employees should be apprised of future possibilities but in a way that doesn’t cause panic or distress. CIOs should familiarise the teams with tech tools provided to them for effective communication and optimise productivity. Sharing information from a reliable source continuously will help to put people’s minds at ease and make them more productive.

The current crisis is extremely volatile without a clear end in sight. During this time, CIOs need to look after the digital lifelines of their companies and ensure they are taking the right steps to support their organisations. By being proactive in implementing digital business strategies, CIOs can ensure to maintain business continuity and a faster run to normalcy when things get back on track.

Source: https://cio.economictimes.indiatimes.com/news/strategy-and-management/how-cios-can-navigate-covid-19-disruptions/75749922

The rise of GPU-as-a-Service

Product design, development, and data analysis are empowered by deep learning, AI and big data analytics. These require high-performing GPUs for scaling and speeding up the process, explains Nitin Jadhav, Head of Solution Engineering – Yotta Infrastructure.

Years ago, a graphic processor unit or GPU used to be a small part of the central processing unit or CPU. It was, as the name suggests used for making our PCs or computers graphic and video enabled.

With advancement, our content evolved into pictures, audio and video. It then follows that the role of GPU would become more critical in the general scheme of things. And it did. GPU was slowly and steadily making its way to becoming from something that was much in demand in the niche markets of gamers and VR/AR to something that had a more mass appeal.

GPUs are the new CPUs

Today we see more and more usage of 3D modelling and animation, leading to high demand for the advance high-performing computing capabilities of GPU solutions. We see animation studios now partnering with companies providing GPU solutions to enhance the quality of their animated feature films.

Also, the rapid adoption of the IoT and Industrial Internet of Things (IIoT) across sectors, for product design, development, and data analysis backed by deep learning, Artificial Intelligence (AI) and Big Data analytics require high-performing GPUs for scaling and speeding up the process.

GPU can speed up machine learning and AI workloads in terms of magnitude, hours and days instead of weeks and months. Today, GPUs that can handle massively parallel processing which reduces the time to complete the task and in turn also reduces the total cost of ownership. For example, companies are using AI-powered by GPU to automate processes like employee approvals, payment processing, and sales discounting.

GPU on the cloud

It is a challenge for most enterprises to set up a GPU infrastructure on-premise. Also, it is tricky to understand and plan the demand for this infrastructure for its optimal usage. This is why GPU-as-a-Service (GPUaaS) came into being and is a no brainer for most businesses. GPUaaS is basically for on-demand, elastic provisioning of GPU infrastructure.

Low-cost implications, support from cloud service providers and on-demand scalability, are some of the key benefits of GPUaaS. The SaaS service model is expected to grow due to the large-scale adoption of cloud-based GPU computing solutions by end-users. The market players in the GPU market are increasingly focusing on delivering SaaS-based solutions to their customers.

GPUaaS – the future of smart working

GPUaaS can be used for tasks as diverse as training multilingual AI speech engines to detecting early signs of diabetes-induced blindness. The speed necessary for machine learning systems like this can only be accomplished with modern GPUaaS that offer a compelling alternative to traditional general-purpose processors with flexible pricing and no CAPEX.

GPU as a Service, can be used with a server model and also as a workstation. If you plan to run computationally intensive tasks, they can consume a lot of CPU power, offloading some of this work to a GPU can free up resources and improve performance output. Similarly, for workstations, the GPU can handle the toughest workloads while the CPU handles regular computing.

With the new technologies becoming more mainstream, GPUaaS will witness an extensive set of applications across industries soon.

GPUaaS – the road ahead

Companies operating in the GPUaaS market are also developing GPU specifically for deep learning and AI. Most product design, development, and data analysis are empowered and backed by deep learning, Artificial Intelligence (AI) and big data analytics these days. These require high-performing GPUs for scaling and speeding up the process.

The market for GPUaaS is already set to exceed US$ 7 billion by 2025; and the Asia-Pacific GPUaaS market is projected to register significant growth with a CAGR of over 40% between 2019 and 2025 according to a research report by Global Market Insights. The region is also a key contributor to the gaming market and is rapidly adopting cloud gaming, resulting in industry growth. Any enterprise looking for a processing activity which relies on highly fast, yet simple calculations are looking at GPUaaS very closely.

Smart cities and energy-efficient buildings will also require high-performing GPUs to run the real-time process seamlessly, along with the deployment of deep learning for predictive analytics. All this and more will lead to the growth of GPUaaS in the future.

Source : https://www.pcquest.com/rise-gpu-service/

Effective Cloud Strategy for your Business

A decade ago, cloud computing was for enterprises what AI and IOT are these days. Exciting meaningful but still not a part of their world. Today however, we can safely say that cloud computing has become a part of the mainstream enterprise technology world. Gartner predicts that by end of this year, 75 percent of organizations will have deployed a multi-cloud or hybrid cloud model. The discussions have now moved from does cloud make sense to our business to what kind of cloud environment is best for us. Cloud is no longer a buzzword but a need for most businesses, and at the same time transitioning to cloud is an expensive affair. In this article, I will highlight few of the things that as a business you should consider before making the move.

Different cloud environments 

There is no one size fits all in Cloud computing. Every cloud provider has a different setup in terms of physical infrastructure, technology infrastructure, functionality, pricing and policies and others. Private, where computing services are offered via dedicated resources over a computing infrastructure hosted on-premise or at service providers cloud but in the dedicated model. Public, where computing services offered by third-party providers over the public internet and hybrid where a mix of on-premises, private cloud and third-party, public cloud services are used.

Multi-cloud v. Hybrid-cloud environment

While public and private clouds are simple, there are multi-cloud and hybrid-cloud architectures. Although they sound similar, there is a major difference between them. In a multi-cloud setup, enterprises may use multiple public cloud from multiple cloud providers, whereas hybrid cloud solutions combine the advantages of public, private and multi-cloud to deliver the agility, elasticity, and cost-effectiveness to your organization.

It basically means that you are not putting all your eggs in one basket and hence, distributing the risk and getting the best environment for your application as per business and users need. For instance, a business that is spread across geographies and is using cloud services, finding one cloud infrastructure provider to meet all its demands and needs, is a big challenge. For such organizations, a multi-cloud architecture is best suited.

Drivers for a Multi-cloud environment

Another major reason for enterprises to adopt multi-cloud is avoiding vendor lock-in. This means that you will be working with more than one vendor in a multi-cloud setup. When a multi-cloud strategy is adopted by organizations, it provides them with more leverage than the cloud provider. The organization now has the option of transferring workloads between providers basis pricing or differing capabilities.

Other factors like cost savings, performance optimization, a lowered risk of DDoS attacks, as well as improved reliability, make hybrid-cloud a very attractive option for many businesses. Multi-cloud environment is one of the most flexible environments one can go in for.

Challenges of a Multi-cloud architecture

While multi-clouds seem extremely attractive there are some pitfalls to it as well. One of the biggest is the possibility of difficult integration across multiple cloud servers and vendors. Keeping track of all the stakeholders, applications and deployments with multiple vendors and platforms can be a thing of IT management nightmare.

Then there is the entire security angle to it. While the multi-cloud does limit the DDoS attack, it may leave an enterprise vulnerable to other attacks, if don’t plan the organization level security policies as per the individual cloud operators’ measures. So now an enterprise has to be not just aware of knowing each of its many cloud service providers’ security measures and then has to identify the steps needed to secure the gaps.

Strategize your way to a successful multi-cloud, the Yotta way

Before you jump into the multi-cloud bandwagon, it is a good idea to form a strategy. Solid strategies that will help you understand why exactly your business needs a multi-cloud setup. Is it because you want to reduce vendor dependency or is the focus risk mitigation? Questions about functionality, procurement or application portability on this kind of environment need to be addressed clearly before embarking upon this journey.

A clearly defined multi-cloud strategy will automatically lead itself into a successful venture. While there are challenges, there are solutions to overcome them as well, for instance, instead of learning and using new tools, with Yotta’s orchestration layer one can manage and deploy any cloud as per security posture/polices of the organization. Besides, Yotta can also help to move your workloads across clouds by taking the entire responsibility of the migration. If your enterprise is looking to shift to cloud computing or moving to a multi-cloud environment, schedule a free consultation with our cloud experts.

Moving workload to hybrid cloud for better data management

Hybrid Data Warehousing for Scalability

Data, as we know, is the most prized asset for a business. With increased touchpoints for businesses, the data that comes in is often stored in siloes across the organization. Due to this, data science teams are unable to optimally run their analytics tools or deploy algorithms to derive actionable insights from the data sets. Today, most organizations use a combination of cloud services along with on-premise infrastructure to manage critical data. With the data protection norms setting in, organizations will have to implement a cloud strategy that aligns with the governance and storage requirements of India’s Personal Data Protection Bill 2019. A hybrid approach to the cloud will thus help businesses meet both their security and scalability requirements by deploying a blend of private and public cloud services in their IT infrastructure.

With the rise in data, the computing and processing demands of the cloud architecture needs to be elastic for data deployment models. Hybrid cloud will allow organizations to meet the on-demand data requirements and derive insights in real-time to meet the business objectives. It would also allow for seamless data management by ensuring the portability of workloads among the on-premise infrastructure and public cloud.

Securing Data in the Cloud

A lurking challenge for cloud-environments is the security of critical data. In a hybrid cloud, enterprises can disintegrate confidential and less critical information for storage purposes. By doing this, they can effectively put in place a disaster recovery mechanism that can replicate data in real-time and create data copies on multiple sites. The security requirements of a hybrid cloud environment can be addressed by deploying a single unified security environment across the organizational network.

Advantages of Hybrid Cloud

As customer experience takes the center stage in business decisions, a hybrid cloud management solution offers the agility required to mine heaps of unstructured customer data and run business analytics on them. Some retail brands are using hyper scalable cloud solutions to manage information overload during heavy-traffic period and optimise their sites to provide a personalised experience in real-time. A hybrid approach makes it easier for enterprises to integrate multiple tools and reduce latency for seamless customer experience.

Indian companies are stepping up their dependency on hybrid cloud and working towards moving their traditional data into data lakes. Hybrid cloud solutions not only provide flexibility to run applications of various scale but also create self-service data platforms by modernizing the IT infrastructure. With hybrid cloud, enterprises can align their workloads, either on-premise or on cloud, that aligns with data security, governance and business requirements of the organization.

With major players setting up their data centers in India, the hybrid cloud model will provide a balanced IT model to deploy an optimal cloud migration strategy. Organizations will be able to select the best infrastructure for different applications by leveraging the elasticity of a hyper specialised arrangement. The year 2019 saw major global players coming together to harness their cloud capabilities and India’s maturing start-up and SME ecosystem only paves the way for a considerable shift to integrated cloud solutions.

Source: https://www.dqindia.com/moving-workload-hybrid-cloud-better-data-management