Tag: Cloud technologies

The Future of Cloud: Trends and Innovations to Watch

Cloud technology is the backbone of the latest technological advancements and a trailblazer in the modern tech industry. Its significance cannot be overstated, as it has revolutionized the way businesses operate and individuals access information.

Cloud technology enables users to store, manage, and access data and applications remotely, providing unparalleled convenience and flexibility. Its impact on the tech industry is undeniable, and it continues to shape the future of technology. As such, it is crucial for businesses and individuals alike to stay up to date with the latest cloud technology trends and developments to remain competitive in today’s fast-paced digital landscape.

With the rapid pace of innovation in cloud technology and the increasing availability of new tools and services, Gartner predicts that global public cloud end-user spending will soar to almost $600 billion by 2023.

This forecast highlights the growing importance of cloud computing in the modern business landscape, as organizations seek to leverage the benefits of cloud-based solutions to drive growth and innovation. As such, it is essential for businesses to stay up to date with the latest cloud trends and technologies to remain competitive and achieve long-term success.

Key trends to watch in Cloud computing!

The future of cloud computing predicts several trends and developments that are expected to shape the landscape and enhance business delivery.

Hybrid and multi-cloud dominance:

As businesses become increasingly adept at utilizing multiple cloud providers, the adoption of hybrid and multi-cloud strategies is expected to surge. This approach enables organizations to seamlessly leverage the unique strengths and services of various providers, thereby optimizing their cloud infrastructure.
By embracing this approach, businesses can achieve greater flexibility, scalability, and cost-effectiveness in their cloud operations. As such, the trend towards hybrid and multi-cloud strategies is poised to become a key driver of innovation and growth in the cloud computing industry.

Expansion of edge computing:

The proliferation of the Internet of Things (IoT) refers to the rapid growth and widespread adoption of interconnected devices that can communicate and exchange data with each other over the internet.
As the number of IoT devices continues to increase, so does the amount of data generated by these devices. This data often needs to be processed and analyzed in real time to extract valuable insights or enable timely actions.
However, transmitting all IoT data to centralized cloud data centers for processing can be impractical and inefficient due to factors like network latency, bandwidth limitations, and privacy concerns. The role of edge computing becomes evident in this context.
By deploying computing resources, such as edge servers or gateways, in close proximity to the IoT devices, data can be processed locally, reducing the need for data transmission to centralized cloud data centers.

Advancements in AI and machine learning

Cloud providers will continue their substantial investments in artificial intelligence (AI) and machine learning (ML) technologies.
Cloud providers are leveraging AI and ML to develop intelligent automatic scaling capabilities. By analyzing usage patterns, data trends, and other relevant factors, AI and ML algorithms can predict resource needs and automatically scale up or down as required.
Cloud providers are investing in AI and ML technologies to develop self-healing systems that can autonomously detect and resolve issues. These systems employ algorithms to continuously monitor the health and performance of cloud resources, applications, and infrastructure. If anomalies or failures are detected, the AI and ML algorithms can quickly identify the root causes and take corrective actions.
AI and ML capabilities are being integrated into cloud services to enable more advanced data analytics. Cloud providers are developing tools and frameworks that leverage AI algorithms to extract valuable insights, patterns, and predictions from large volumes of data.
Cloud providers are investing in AI-powered natural language processing (NLP) technologies to improve communication and interaction with their cloud services.
Cloud providers are investing in sophisticated algorithms that can accurately analyze and interpret visual and auditory data.

Heightened focus on security

Cloud providers will allocate more resources towards developing and implementing robust security technologies. This includes advancements in encryption, authentication mechanisms, intrusion detection and prevention systems, threat intelligence, and security analytics. Investments will also be made in security infrastructure, such as firewalls, secure data centers, and disaster recovery systems.
Cloud providers will implement more stringent controls to regulate who has access to data and how it can be used. This involves enhancing identity and access management systems, implementing fine-grained access controls, and enforcing data governance policies.
With the growing awareness of data privacy and individual rights, cloud providers will prioritize protecting user rights within their services. This includes complying with relevant data protection regulations, such as the General Data Protection Regulation (GDPR) and other regional privacy laws.
Cloud providers will face increasing scrutiny regarding their security practices and overall accountability. This will drive the adoption of independent security audits, certifications, and compliance frameworks to validate the security posture of cloud services.
Cloud providers will actively engage with regulatory bodies and industry associations to shape security standards and best practices. They will participate in public-private partnerships to address emerging security challenges and contribute to the development of regulations and guidelines.

Enhanced Regulation

The ubiquity of cloud services has brought about a need for heightened regulatory measures. Data privacy and security concerns must be addressed to ensure the protection of user rights. By implementing these regulations, cloud providers will be held accountable for their actions, promoting a safer and more secure online environment.

Conclusion

Cloud computing is a powerful tool that drives innovation, growth, and transformation in various industries. Embracing its benefits is crucial for businesses to optimize operations and enhance competitiveness. Cloud adoption offers scalable computing resources, cost reduction, and improved agility. It also enables businesses to leverage advanced technologies like AI, ML, and big data analytics for valuable insights and informed decision-making. The future of cloud computing is promising, presenting opportunities for organizations to thrive.

GoDgtl by Prutech is an Advanced AWS Consulting Partner offering expertise cloud solutions for organizations across the globe. We offer customised cloud solutions through the effective implementation of the most advanced cloud technologies and help businesses stay ahead of the competitive curve.

Contact us today to learn more about our services and how we can help your business thrive in the cloud era. Contact 24/7 – GoDgtl (go-dgtl.in).

The OTT market today is a crowded subway with the likes of Netflix, Amazon Prime Video, Disney Plus, HBO Max, and Hulu. In such a scenario, OTT players need to tackle not just growing competitive intensity but also ever-changing customer preferences. The exploding OTT market is estimated to achieve close to 510 million users by 2026, garnering a revenue of over $3.76 billion by 2027. Although it became an everyday household necessity during the pandemic, the rising number of competitors drives the market towards a saturation point.

Only through a streamlined OTT workflow will enable seamless video content delivery to millions of devices across the globe. To keep their customers engaged, you need high-quality streaming, faster content delivery, and a personalized experience.

However, the road to building an efficient OTT workflow is a challenging one. In this article, we’ll explore these challenges and how they can be solved with AWS media services.

The history of OTT

OTT or over-the-top refers to a media service that facilitates live and on-demand video streaming direct to customers over the web. This service is provided through apps available across devices like Android, Smart TV, Apple TV, Windows, and Chromecast. The emergence of OTT led to viewers canceling traditional TV cable, a phenomenon referred to as cord-cutting. Interestingly, OTT isn’t just restricted to entertainment, There are immense opportunities in other industries such as education and fitness as OTT also refers to audio streaming and telecommunication services.

OTT workflow challenges

OTT has a tremendous growth opportunity owing to the meteoric rise in both demand and supply of on-demand video. However, enterprises need to be cautious when launching OTT services. Running end-to-end OTT workflows smoothly has many challenges as listed below:

Lack of flexible infrastructure

The supply chain of OTT solutions is complex and unique to each platform. In such a scenario, a templatized solution won’t cut it. You need to pick a flexible solution with workflows that allow easy integration with third-party services like content management systems and quality control tools through APIs.

Limited features

With an increasing focus on personalization, you will have to build an application with innumerable features. These features vary with respect to the kind of broadcasting services you offer. Some of the most common options that constitute a feature-rich app include content access mechanism, delivery protocols, advanced audio features, etc.,

Restricted scalability

One major appeal of OTT is the wide range of on-demand videos available across multiple devices and locations at the same time. To ensure high-quality streaming in such a distributed and diverse ecosystem, your workflows should be highly scalable with adaptable frameworks.

Static workflow frameworks

Every OTT platform has workflows that are entirely unique to itself. Although it stems from the need to deliver a distinct customer experience, it makes the ‘one size fits all’ notion impractical. Even simple differences such as metadata (title, description, and cast) and ad placements need customized workflows. They need to cater to the brand’s specific requirements and approach.

AWS tackle OTT workflow challenges

To effectively manage these challenges, OTT players need a management tool that facilitates a seamless customer experience. Float Left’s Application Management Portal (AMP) built using AWS is an ideal product to simplify OTT management. Its inception was aimed at helping online video platforms rapidly adapt to changing content delivery preferences of the users. Supporting streaming on CTV devices like gaming consoles and smart TVs has been game-changing.

Built on multiple AWS platforms like Amazon S3, EC2, Lambda, and DynamoDB, AMP enables you to manage both content and application. With it, you can customize your customer’s screen layout alongside managing content playlists and assets. Unlike with traditional CMS, you can build and implement such fragmented and complex workflows within days. This helps you not just keep pace with market changes, but also beat it.

Let’s take a look at all the AWS Media Services elements that make AMP the ideal OTT management platform.

Amazon S3

Forming an incredible bridge between the servers and the app, Amazon S3 (Amazon Simple Storage Services) empowers you to store your assets dynamically enabling high availability. S3 achieves this by categorizing all the data into different buckets. So that whenever your user triggers a request at runtime, the appropriate file is loaded and delivered on the screen.

Amazon CloudFront

This tool works as an agent between the S3 and the application. This software layer creates redundancy to enable faster data delivery.

Amazon EC2

To accommodate changing demand volumes, AMP utilizes Amazon EC2 (Amazon Elastic Cloud Computing). It automatically creates and destroys instances in line with the incoming requests. Upon receiving an app request, a virtual server is instantiated. It is terminated once the request is addressed.

AWS Lambda

When your user initiates a request, Lambda translates this query into an executable code. It allows you to look through the databases for the information you are seeking in a completely automated workflow.

Amazon DynamoDB

When you enter a query, Lambda functions communicate with DynamoDB instances for real-time data delivery onto your screen. DynamoDB is a NoSQL database and differs from traditional tables by focusing only on key-value pairs. This approach makes it a tremendously efficient process to transfer data to the APIs.

OTT is a very powerful content delivery method as it has magnificent scope for personalization specific to every single user. The depth of personalization is going to be the key to offering an appealing customer experience. With several big players in the arena, the OTT players need to tailor-make their services accurately. This is only possible by using a solution that allows workflows driven by artificial intelligence and machine learning.

Conclusion

As an Advanced Consulting Partner of AWS, GoDgtl assures your business success by using cloud technologies to manage your OTT services. Our capabilities include scalable computing and storage for databases and analytics among other functionalities; unlike the legacy models that delayed the OTT app launch by months. GoDgtl enables designing, testing, and deploying your infrastructure within days. To learn more, contact us Contact 24/7 – GoDgtl (go-dgtl.in).