Category Archives: Cloud Hosting

Inference: The future of AI in the cloud – TechRadar

Now that its 2024, we cant overlook the profound impact that Artificial Intelligence (AI) is having on our operations across businesses and market sectors. Government research has found that one in six UK organizations has embraced at least one AI technology within its workflows, and that number is expected to grow through to 2040.

With increasing AI and Generative AI (GenAI) adoption, the future of how we interact with the web hinges on our ability to harness the power of inference. Inference happens when a trained AI model uses real-time data to predict or complete a task, testing its ability to apply the knowledge gained during training. It's the AI models moment of truth to show how well it can apply information from what it has learned. Whether you work in healthcare, ecommerce or technology, the ability to tap into AI insights and achieve true personalization will be crucial to customer engagement and future business success.

The key to personalisation lies in the strategic deployment of inference by scaling out inference clusters closer to the geographical location of the end user. This approach ensures that AI-driven predictions for inbound user requests are accurate and delivered with minimal delays and low latency. Businesses must embrace GenAIs potential to unlock the ability to provide tailored and personalised user experiences.

Businesses that havent anticipated the importance of the inference cloud will get left behind in 2024. It is fair to say that 2023 was the year of AI experimentation, but the inference cloud will enable the realisation of actual outcomes with GenAI in 2024. Enterprises can unlock innovation in open-source Large Language Models (LLMs) and make true personalisation a reality with cloud inference.

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Before the entrance of GenAI, the focus was on providing pre-existing content without personalization close to the end user. Now, as more companies undergo the GenAI transformation, well see the emergence of inference at the edge - where compact LLMs can create personalized content according to users prompts.

Some businesses still lack a strong edge strategy much less a GenAI edge strategy. They need to understand the importance of training centrally, inferring locally, and deploying globally. In this case, serving inference at the edge requires organizations to have a distributed Graphics Processing Unit (GPU) stack to train and fine-tune models against localized datasets.

Once these datasets are fine-tuned, the models are then deployed globally across data centers to comply with local data sovereignty and privacy regulations. Companies can provide a better, more personalized customer experience by integrating inference into their web applications by using this process.

GenAI requires GPU processing power, but GPUs are often out of reach for most companies due to high costs. When deploying GenAI, businesses should look to smaller, open-source LLMs rather than large hyperscale data centers to ensure flexibility, accuracy and cost efficiency. Companies can avoid complex and unnecessary services, a take-it-or-leave-it approach that limits customization, and vendor lock-in that makes it difficult to migrate workloads to other environments.

The industry can expect a shift in the web application landscape by the end of 2024 with the emergence of the first applications powered by GenAI models.

Training AI models centrally allows for comprehensive learning from vast datasets. Centralized training ensures that models are well-equipped to understand complex patterns and nuances, providing a solid foundation for accurate predictions. Its true potential will be seen when these models are deployed globally, allowing businesses to tap into a diverse range of markets and user behaviors.

The crux lies in the local inference component. Inferring locally involves bringing the processing power closer to the end-user, a critical step in minimizing latency and optimising the user experience. As we witness the rise of edge computing, local inference aligns seamlessly with distributing computational tasks closer to where they are needed, ensuring real-time responses and improving efficiency.

This approach has significant implications for various industries, from e-commerce to healthcare. Consider if an e-commerce platform leveraged GenAI for personalized product recommendations. By inferring locally, the platform analyses user preferences in real-time, delivering tailored suggestions that resonate with their immediate needs. The same concept applies to healthcare applications, where local inference enhances diagnostic accuracy by providing rapid and precise insights into patient data.

This move towards local inference also addresses data privacy and compliance concerns. By processing data closer to the source, businesses can adhere to regulatory requirements while ensuring sensitive information remains within the geographical boundaries set out by data protection laws.

The journey towards the future of AI-driven web applications is marked by three strategies - central training, global deployment, and local inference. This approach not only enhances AI model capabilities but is vendor-agonistic, regardless of cloud computing platform or AI service provider. As we enter a new era of the digital age, businesses must recognize the pivotal role of inference in shaping the future of AI-driven web applications. While there's a tendency to focus on training and deployment, bringing inference closer to the end-user is just as important. Their collective impact will offer unprecedented opportunities for innovation and personalization across diverse industries.

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Inference: The future of AI in the cloud - TechRadar

Securing the Future: The Imperative of Cybersecurity in the Cloud Age for the Defense Industry – TechCabal

In an era where technology is rapidly evolving, the defense industry finds itself at a pivotal crossroads, increasingly reliant on cloud computing to power its operations. This shift promises greater efficiency, flexibility, and scalability, but it also brings forth a host of cybersecurity challenges that cannot be ignored. In this article, we delve into the crucial role of cybersecurity in safeguarding the future of the defense cloud cyber security industry amidst the rise of cloud technology.

The defense sector operates in a uniquely hostile digital environment, where the adversaries are not only numerous but also highly motivated. From nation-state actors seeking to steal classified information to cybercriminals aiming to disrupt critical infrastructure, the threats facing defense systems are multifaceted and ever-evolving. The consequences of a successful cyber attack on defense networks and assets can be catastrophic, compromising national security and undermining military readiness.

The adoption of cloud technology in the defense industry offers a myriad of benefits that cannot be overlooked. Firstly, cloud computing facilitates enhanced collaboration and information sharing among defense agencies and stakeholders. By centralizing data storage and streamlining communication channels, cloud platforms enable real-time access to critical information, fostering agility and responsiveness in decision-making processes. The scalability of cloud infrastructure allows defense organizations to rapidly scale resources up or down in response to evolving mission requirements, ensuring optimal performance and cost-effectiveness.

However, alongside these benefits come inherent risks that demand careful consideration. One of the primary concerns is the potential for data breaches and unauthorized access to sensitive information. As defense organizations entrust their data to third-party cloud service providers, they must grapple with the challenge of ensuring the confidentiality, integrity, and availability of their data in a shared environment. Reliance on cloud technology introduces new attack vectors and vulnerabilities that malicious actors may exploit to compromise defense systems and infrastructure. From misconfigurations and insider threats to sophisticated cyber attacks, the threat landscape in the cloud age is complex and constantly evolving, requiring robust cybersecurity measures to mitigate risks effectively.

Balancing the advantages of cloud adoption with the imperative of cybersecurity requires a proactive and holistic approach. Defense organizations must prioritize risk management and resilience by implementing stringent security controls, such as encryption, access controls, and intrusion detection systems, to protect data at rest and in transit.

Regular security audits, penetration testing, and vulnerability assessments are essential for identifying and addressing potential weaknesses in cloud infrastructure.

In the cloud age, cybersecurity must be woven into the fabric of defense operations from the outset. This includes implementing robust encryption and data protection measures, implementing strict identity and access controls, continuously monitoring for suspicious activity, and having well-defined incident response and recovery protocols in place. By adopting a proactive and holistic approach to cybersecurity, defense organizations can better defend against emerging threats and mitigate the impact of cyber attacks.

Compliance with cybersecurity regulations and standards is non-negotiable for defense organizations operating in the cloud. Adherence to frameworks such as NIST SP 800-171 and the Cybersecurity Maturity Model Certification (CMMC) is essential to ensure the protection of sensitive information and maintain the trust of stakeholders. Compliance not only reduces the risk of costly breaches but also demonstrates a commitment to safeguarding national security interests.

Addressing the cybersecurity challenges of the cloud age requires collaboration between government agencies, defense contractors, and cybersecurity experts. By sharing threat intelligence, best practices, and lessons learned, stakeholders can collectively strengthen the resilience of defense systems and infrastructure. Furthermore, embracing innovation in cybersecurity technologies and approaches is essential to stay ahead of evolving threats andmaintain a competitive edge in an increasingly digitized battlefield.

Examining real-world examples of successful cybersecurity initiatives within the defense industry can provide valuable insights into effective risk management strategies. From the implementation of secure cloud architectures to the deployment of advanced threat detection capabilities, there are myriad ways in which defense organizations can enhance their cybersecurity posture. By studying these case studies and adopting best practices, defense organizations can better protect their critical assets and fulfill their mission objectives.

As the defense industry embraces the transformative power of cloud technology, cybersecurity emerges as a mission-critical priority. By understanding the evolving threat landscape, balancing the benefits and risks of cloud adoption, and implementing robust cybersecurity measures, defense organizations can secure their future in the digital age. Collaboration, innovation, and a steadfast commitment to compliance are essential ingredients in this ongoing effort to safeguard national security interests and defend against emerging cyber threats.

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Securing the Future: The Imperative of Cybersecurity in the Cloud Age for the Defense Industry - TechCabal

Cloud Native Computing and AI: A Q&A with CNCF’s Head of Ecosystem – The New Stack

Artificial intelligence, and Generative AI in particular, has become a top subject of conversation, from food to fashion and just about everything else. It’s making huge inroads in software development in general by generating documentation, alleviating developer cognitive overload and actually churning out code, including test code. Furthermore, AI has created additional value for platform engineering and its automation.

At the center of this rebirth of AI is cloud native computing and the Cloud Native Computing Foundation(CNCF).

So, in advance of this year’s KubeCon+CloudNativeCon EU, to be held in Paris March 19-22,

I caught up with Taylor Dolezal, head of ecosystem and AI at CNCF, to discuss AI and Cloud Native. Dolezal has worked as a senior developer advocate for HashiCorp and a site reliability engineer for Walt Disney Studios. He actually started his own IT career by founding his own software solutions company, called Pixelmachinist, that focused on businesses in the Cleveland area.

In this interview, Dolezal talks about how AI is affecting the CNCF and how the CNCF is spearheading efforts towards ethical AI. He talks about the success of the Kubernetes community which has managed to unify infrastructure and how those “lessons learned” could be used to help developers and architects. He talks about the synergies between AI and Cloud Native technologies and communities.

Generative AI in general and ChatGPT in particular seem to have impacted every facet of everyday life. Is this something that is going to impact cloud native computing, which to date has primarily dealt with infrastructure and has been somewhat removed from AI?

I have had the opportunity to witness the incredible potential of Generative AI and technologies across many business verticals. In cloud native computing, which has traditionally focused on infrastructure, the emergence of Generative AI is not just an adjacent trend but a core driver of innovation. It prompts us to rethink our infrastructure paradigms to accommodate AI workloads, improve platform engineering focuses with AI insights, and ensure our systems are AI-ready. This integration represents a significant shift in how we design, deploy, and manage cloud native solutions, making AI an integral component of our ecosystem.

The AI & Data landscape is pretty daunting. Are you satisfied with the community participation and how the CNCF and the Linux Foundation have addressed this?

The contributions of our community members towards shaping the AI and Data landscape have been illuminating and helpful to the greater community. The CNCF is collaborating with the Linux Foundation to create an environment that encourages innovation in AI and data. We have taken multiple initiatives, such as projects, workgroups, and educational efforts to make AI technologies accessible to developers and companies.

This high-level engagement is crucial to navigating the complexities of AI training and inference while keeping our community at the forefront of this technological evolution.

Model training and deployment for Large Language Models (LLMs) requires a lot of infrastructure. However, the diverse nature and disparate platforms can be intimidating for software developers and architects to comprehend and use. Just like Kubernetes unified the infrastructure, is the end goal of CNCF to provide a unified AI platform?

The complexity and diversity of machine learning models, their training, and the platforms used to deploy them pose a significant challenge for developers and architects. Taking inspiration from the success of Kubernetes in unifying infrastructure, the CNCF envisions a future where similar frameworks can improve the developer experience of AI workloads.

By hosting projects that promote productivity, encourage innovation, and provide broader access to advanced AI capabilities within the cloud native ecosystem, we aim to spotlight the progress made within our community. As a vendor-neutral foundation, we aren’t seeking to select a single platform that works for all (no kingmaking) but instead, provide options that allow adopters and builders to make the best possible choices in a composable, iterative way within their organizations.

Data is at the very core of all this and generally, a huge corpus of data is required to provide reliable services. Generating test data that is free of biases for training is important. Can you highlight some initiatives and tactical plans to address the gaps vis-a-vis data?

Our community acknowledges the vital role played by data in AI. Therefore, we continuously improve and discuss the best practices for handling data. We also support open source tools for data validation and storage. We encourage community-led projects that promote ethical AI. We aim to set new standards for responsible AI development in the cloud native landscape by bringing the community together and, most importantly — working together in public.

Multimodal AI has been eclipsed by the recent interest in Generative AI. If it’s not there (yet), is there something you would like to see that will likely make a profound impact on multimodal AI?

Although Generative AI has gained a lot of attention lately, multimodal AI has significant potential to enrich cloud native applications. I foresee future projects using multimodal AI to improve observability, security, and user experience in cloud native platforms. This will have a profound impact on the delivery and consumption of services.

Can you provide an example(s) that drives home the impact of multimodal AI on Cloud Native?

Multimodal AI integration has been a significant breakthrough in enhancing the adaptability and intelligence of applications across various domains. The healthcare sector is showing prominent examples of this impact. By leveraging cloud native architectures, multimodal AI improves patient care and diagnostics by analyzing diverse data, from medical imaging to electronic health records and real-time patient monitoring data.

Multimodal AI enables healthcare applications to provide more precise diagnostics, personalized treatment plans, and predictive health insights. This integration not only streamlines the healthcare delivery process but also enhances the scalability and efficiency of these applications, thanks to the inherent advantages of cloud native technologies such as microservices, containerization, and dynamic orchestration.

What are your predictions for AI-based announcements at Kubecon EU 2024? Anything else you would like to add?

Looking ahead to KubeCon EU 2024, I anticipate that there will be significant announcements within our ecosystem that relate to AI-based tooling, security enhancements, and sustainability initiatives within the cloud native landscape. The integration of AI in cloud native is likely to take center stage, showcasing innovations that facilitate easier adoption, scalability, and management of AI workloads. I’m looking forward to seeing a strong emphasis on ethical AI practices and community-driven projects that bridge the gap between AI technologies and cloud native principles.

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Cloud Native Computing and AI: A Q&A with CNCF's Head of Ecosystem - The New Stack

Cloud Computing Leader Vultr Expands Executive Team to Address Growing AI Infrastructure and Enterprise Cloud … – Elk Valley Times

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Cloud Computing Leader Vultr Expands Executive Team to Address Growing AI Infrastructure and Enterprise Cloud ... - Elk Valley Times

Israel’s Orca Security CEO reveals the future of cloud security – The Jerusalem Post

In the latest episode of Inside Israeli Innovation, we dive into the dynamic intersection of cloud security, artificial intelligence, and global cybersecurity trends.

Host Maayan Hoffman sits down with Gil Geron, CEO of Orca Security, who sheds light on the evolving cloud landscape in Israel and globally. Learn about the geopolitical shifts influencing data localization trends. From rising tensions to ensuring data sovereignty, Geron says nations worldwide are redefining their approaches to data management.

Geron dissects governments' escalating use of technology, which brings heightened cybersecurity risks. He says the stakes are high, as cyber-attacks can have severe financial and life-threatening consequences.

Tune in to Inside Israeli Innovation to explore the ever-evolving cloud landscape.

Israel is the Start-up Nation, the Scale-up Nation, the Unicorn Country. Join Maayan Hoffman, Jerusalem Post Deputy CEO - Strategy & Innovation for her analysis of the most critical Israeli tech innovations. In each episode, shell highlight a new tech trend, discuss the latest innovation news and interview at least one of Israels most promising companies. So if you like to know whats on the cutting edge, this Jerusalem Post show is for you.

Listen here, on Apple, Spotify, Google Podcasts or wherever you get your podcasts.

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Israel's Orca Security CEO reveals the future of cloud security - The Jerusalem Post

Cloud and AI: a dynamic duo – Technology Record

Alex Smith | 09 August 2023

According to projections by IDC, the cloud market in Latin America is set to grow by 30.4 per cent by the end of 2023. In the midst of such rapid growth, IT infrastructure services provider Kyndryl and Microsoft are combining their expertise to help accelerate their customers migration into the cloud.

Companies are understanding that they need to undergo digital transformation in order to be more flexible and address the demands of their customers, says Carla Carvalho, head of Microsoft alliance in Latin America at Kyndryl. Now is the right time for them to work with partners such as Kyndryl and Microsoft who can help them on this journey.

Kyndryl and Microsoft have launched their first Center of Excellence in Latin America, which will serve as a central hub of information, resources and skills related to Microsoft technologies. The centre will see experts from Kyndryl providing solutions, consulting and managed services alongside Microsoft architects and technical staff.

We established the centre to enable us to better support our enterprise customers across Latin America in their digital transformation, says Carvalho. Kyndryl and Microsoft are working together very closely to co-create replicable assets that can be used across the region to meet customer demands. We will provide the skills, processes and technologies that companies need to accelerate their transformation journey.

The centre will develop projects that meet a range of business needs, including mainframe data modernisation, migration to the cloud or integration into hybrid IT models, with a focus on data security throughout. The centres planned services include security and resiliency, data protection, SAP, legacy modernisation and Azure VMware Solution, among others.

When customers start to move to the cloud, we can help them analyse what they need to modernise to make that journey successfully, says Carvalho. We then bring together our different areas of expertise, whether that be security, SAP workloads, or Azure VMware Solution, to help meet their specific needs.

Kyndryl and Microsoft have already helped several customers via the centre in Latin America, including agribusiness company Caramuru Alimentos and glass manufacturer Vitro. Carvalho is aiming to spread the impact of the collaboration even further in the future.

This is the first step towards leveraging the knowledge created by the Centre of Excellence for the whole of Kyndryl, she says. We aim to have more people engaged, spreading the knowledge to accelerate projects for customers. Thats the key to digital transformation; the flexibility to attend to customer demands quickly.

This article was originally published in the Summer 2023 issue of Technology Record. To get future issues delivered directly to your inbox, sign up for a free subscription.

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Why you should make a cloud backup this March – TechRadar

March 30 is World Backup Day. No, you dont get the day off. Its an initiative backed by some of the providers we recommend in our cloud backup guide like Mega and Backblaze, and even Amazon, asking everyone - individuals? Organizations? - to make at least one backup of their precious data.

At TechRadar Pro, we, and maybe you too, reader, believe that any person or business refusing to admit the mortality of their external hard drives and SSDs is possibly (definitely) from another planet. Backblaze data from 2021 suggests that 21% of people have never made a backup.

This makes me weep, and so it falls to me to attempt to turn the tide. You can be the most careful person in the world, but your storage will still fail, eventually. The mechanical platters of a hard drive are more prone to failure to that of a solid state drive, because, as the name implies, the latter has no moving parts.

So, you can buy any combination of these until the end of time itself for an on-premise backup solution, but this poses four problems: 1) the expense, 2) the sheer amount of space thisll take up if you start putting those drives in servers and 3) the relative lack of security of a purely on-premise storage configuration.

Yes, for truly secure, preserved data, its not enough to keep all of your storage devices on one site. The 3-2-1 backup principle, revered by such big names as IONOS and Seagate, suggests that, at all times, you should have three copies of all your data at any one time, across two different types of media, and one of these backups should be held off-site.

And, because data is truly mortal, youll be replacing these backups and the kinds of media and devices that you keep them on forever, and youll love it, because you value your data, right? This maintenance is one of the draining things about on-prem backups.

The principle is decades-old, well-worn to the point that even we have published contributors claiming that 3-2-1 backups are out of date because of the existence of the cloud driving the obsolescence of ye olde tape media and compact discs - the things that immediately come to mind when thinking about different storage types.

Well, sure. But that brings us to another of the big disadvantages of on-premise backups, which is that: if your business has the luxury of a second site to split backups between, thats fine, but if youre committed to 3-2-1, responsible data preservation, and circumstances mean that you dont have that luxury, how exactly do you make an off-site backup?

In primordial times, this was some conundrum, but in the twenty-first century, Id say that cloud backups can accommodate 3-2-1, no matter what the naysayers think.

Cloud backup entails trusting your data to another companys servers, usually in some data center somewhere, and paying a monthly or annual fee for the privilege. In the short to medium term, this can make financial sense, or even beyond that with lifetime cloud storage plans, offering much the same, but for a hefty one-off fee.

The other big advantage of cloud backups is that they solve the problem of where you keep your off-site backup, because youve ceded control over that to another faceless company, which will have its own data loss prevention strategies, and backups of your backup.

Getting another company involved can be a blessing and a curse, though: we recognise that handing off your data, which may mean sensitive client data, to another companys servers may sound like, well, like a bad idea.

Well, to head that off, a number of our recommended providers, like pCloud, MEGA, and Icedrive, offer end-to-end encryption, sometimes referred to as zero-knowledge or client-side encryption, meaning that the company handling your storage have no access to your files or ability to view their metadata.

Its a nice assurance to have in an age of well-justified fears of just how humanity can abuse the internet, and also a very recent phenomenon that many household names have only just started to take note of. Google Drive, for example, only permits end-to-end encryption for Google Workspace accounts belonging to organizations whose administrators have enabled it.

Solo professionals looking to use Google Drive will have to rely on server-side encryption - which might protect your files from ne'er-do-wells hacking into Google Towers, but not from Google itself, or anyone with unauthorized access to your account.

Google Drive also happens to be, for our and indeed your money, one of the cheapest cloud backup providers going, so that may be something to keep in mind.

Another thing to think about is that Googles offering, for instance, is also known to many as a cloud storage provider, but thats not quite the same thing as a cloud backup provider.

If a service lets you backup ideally an entire drive but at the absolute bare minimum a single folder on a device to the cloud, thats what you want in this context. Cloud storage, meanwhile, is focused on keeping copies of specific files, not whole drives, and not all cloud storage services offer cloud backups.

I wish I had a more in-depth, less snippy argument to present for backing up your data at all - I dont. Do you like having your stuff? Well then. But I do think that the argument for making cloud backups, not just during this momentous March but in general, is strong and clear.

Cloud backups alleviate, if not remove completely, a whole lot of the obstacles that the 3-2-1 strategy presents, and the industry is far along enough that providers which arent Google, Amazon or Microsoft are popping up left-right and center, if thats a consideration.

We can offer recommendations for cloud backup providers, but the choice, ultimately, is yours. Read provider websites to understand the features offered, and whether any one service is even fit for purpose before you buy in because, as with any business decision, its important to do your research.

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Google ramps up its Microsoft criticism a cloud war could be on the horizon – TechRadar

Google Cloud has taken a swing at Microsoft, claiming its rival company is taking steps to secure a monopoly on emerging technologies such as generative AI.

Microsoft controls a significant portion of the cloud computing market, and has recently begun a collaboration with OpenAI to enhance their development of all things AI.

This has resulted in increasing scrutiny from regulatory bodies in the US, UK and the European Union.

Google Cloud President Amit Zavery recently expressed his concern about Microsofts grip on the market, saying, We worry about Microsoft wanting to flex their decade-long practices where they had a lot of monopoly on the on-premise software before and now they are trying to push that into cloud now.

So they are creating this whole walled garden, which is completely controlled and owned by Microsoft, and customers who want to do any of this stuff, you have to go to Microsoft only.

Zavery continued by claiming that Microsofts Azure cloud platform forced customers to exclusively use Microsoft products, and that regulators should step in before the cloud giant causes long-term problems in other industries.

The Google Cloud President accused Microsoft of flexing its market control by selectively choosing vendors in a manner that can either set them up for success or fall through, allowing Microsoft to choose its competition.

Microsofts President Brad Smith took a swing back at Google during the opening day of the Mobile World Congress in Barcelona, saying, Today, only one company is vertically integrated in a manner that includes every AI layer from chips to a thriving mobile app store.

Another Microsoft spokesperson also addressed the criticism stating, We have listened to and work constructively and directly with independent cloud providers to change our licensing terms, addressing their concerns and providing more opportunity for them. Worldwide, more than 100 cloud providers have already taken advantage of these changes.

Via Reuters

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Google ramps up its Microsoft criticism a cloud war could be on the horizon - TechRadar

Cloud Binary Server – Accessible, secure, and anonymous cloud solutions for decentralized and AI ML apps – Cointelegraph

Cloud Binary Server is a cloud-based infrastructure service providing a dedicated and cost-effective server solution for businesses and individuals. The platform offers a simplified process for customers to buy cloud infrastructure through a Telegram bot. This approach eliminates the need for complex procedures and technical knowledge, allowing a broader audience to acquire cloud infrastructure easily.

Cloud Binary Server aims to revolutionize the tech industry by focusing on privacy, security, and anonymity. Its dedicated server platform offers anonymous cloud server solutions for decentralized applications and AI machine learning. Moreover, it empowers users and democratizes governance with the CBY token.

Cloud Binary Server recognizes the delicate balance between technological advancement and privacy, offering a solution that prioritizes both. The platform provides services such as web hosting, email hosting, and file storage while ensuring high levels of privacy and security.

The platform caters to users who value anonymity by allowing anonymous cryptocurrency payments. Moreover, its end-to-end encryption adds an extra layer of security, making it an ideal choice for those requiring anonymous cloud services.

Lastly, Cloud Binary Server provides free technical support to ensure users have the necessary aid to succeed. This free, 24/7 assistance includes help with installation, configuration, customization, and troubleshooting, ensuring users have a seamless experience on the platform.

The CBY token is the native governance token of Cloud Binary. Holders can use CBY to participate actively in the Cloud Binary ecosystem, vote on governance proposals, benefit from exclusive features, and become an integral part of the Cloud Binary community.

Holding CBY tokens has the following benefits:

Product Access

CBY holders enjoy complete access to all of Cloud Binarys products.

App Discounts

CBY holders are entitled to discounts on all of Cloud Binary's services, including website hosting, email hosting, and file storage.

Earn Passive Income

CBY holders have the opportunity to earn rewards through three different methods.

Partner Benefits

The CBY token is a versatile cryptocurrency with multiple purposes. One is for a new project airdrop campaign and staking at our partner's liquidity pools, allowing users to earn rewards for providing liquidity to the platform.

Cloud Binary Server launched in 2024 as a cloud infrastructure platform providing robust and flexible solutions for hosting and computing needs. The company aims to meet the demands of individuals and businesses with a versatile offer of secure and anonymous services, including web hosting, email hosting, file storage, and more.

Overall, Cloud Binary Server offers affordability, accessibility, and reliable customer support to emerge as a viable solution for users seeking a dedicated, easy-to-use cloud infrastructure service.

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Cloud Binary Server - Accessible, secure, and anonymous cloud solutions for decentralized and AI ML apps - Cointelegraph

Maximize your cloud hosting strategy in 2024: Success stories from our partners – Microsoft

Partner Audience: #CSP #Other Relevant to: #SuccessStory #GrowYourBiz #Azure

The Microsoft Datacenter Optimization (DCO) team is dedicated to helping partners enhance their on-premises business and reap the benefits of the cloud. By joining the DCO program, you can gain access to a wealth of incentives, resources, and personalized guidance tailored to your unique business and technology needs as a Cloud hosting provider. With the support of a team of Azure experts, you can develop a customized strategy that meets your specific needs and helps you drive incremental revenue growth.

Here are two recent success stories showcasing partners who have transformed their business by shifting their strategy and making Azure part of their revenue streams.

Protocall realizes 45% cost savings with migration to Microsoft Azure environment designed and managed by Atmosera

Protocall Services (Protocall) is a national provider of telephonic crisis services and digital tools for behavioral health, with a mission to help people in need. To improve the reliability, security, and scalability of its infrastructure, Protocall embarked on a multistage cloud migration. On-premises and colocated systems no longer provided the performance or agility Protocall needed, so they reached out to Microsoft partner Atmosera to design and manage a new environment based on Microsoft Azure.

One of the benefits of working with Atmosera is that all we focus on is Azure, says Jon Thomsen, CEO of Atmosera. Its all we do, every day. Were the experts. However, this wasnt always the case for Atmosera. In 2014, they embarked on a similar digital transformation journey than Protocol did a few years later. They evolved from a traditional datacenter and private cloud company to a modern and innovative service provider with Azure. Atmosera was one of the first partners to participate in the Microsoft Data Center Optimization (DCO) program, which it uses with customers like Protocall.

Protocall leaned on Atmoseras experience with Azure services to design the architecture. Having guidance around best practices for spinning up cloud infrastructure was really invaluable for us, says Jrmie Bourque, Director of Software Engineering at Protocall. If we hadnt had Atmosera, we probably would have wasted a lot of time through experimentation and maybe have made poor choices. Protocalls migration has made it more agile and secure, with virtually 100 percent application infrastructure uptime. Many of Protocalls business processes are now simpler, and Atmoseras continuous management of the Azure environment allows Protocall to focus on its mission. Read the full customer story.

CompuData grows 25% year over year, increases revenue by 250% by migrating from private cloud to Azure with Ingram Micro

IT solutions provider CompuData migrated its legacy infrastructure to Microsoft Azure, increasing its cloud revenue by 250% and making its growth sustainable while maintaining regulatory compliance. When CompuData found that maintaining a private cloud infrastructure was becoming too complex and costly as the company grew, it looked to Azure for scalability and efficiency. Managing and maintaining a private datacenter as we scaled up was just not cost effective, says Ed Guarrieri, Chief Operating Officer at CompuData. For us to scale to the next level as a cloud solution provider, Azure would be the best way wed be able to provide the right solutions for our customers.

CompuData leveraged Microsofts DCO program to transition all its customers and applications to Azure. Michael Wirth, Category Acceleration Executive for Microsoft Azure at Ingram Micro, noted that We connected CompuData with presales resources to redesign its solutions in Azure and supported it with funding for end-customer migration projects. The company has achieved a 25% year-over-year growth rate while reducing overhead costs and needing fewer resources to manage its expanding workloads.

Now, CompuData has unlocked the scalability and efficiency to digitally transform its business and deliver cutting-edge, compliant cloud solutions. Were a customer service business, says Guarrieri. Customers care about uptime, security, reliability, and performance. We can deliver that better and more cost-effectively on Azure today. Read the full customer story.

Atmosera and CompuData are just two examples of the many success stories of businesses that have optimized their datacenters and increased their revenue streams with Azure through the Microsoft Data Center Optimization (DCO) program. The DCO program helps businesses transform their legacy datacenter operations to a cloud-centric business model on Azure, enabling them to scale faster, reduce costs, and grow sustainably. We invite you to initiate a conversation with the DCO team to explore the best strategies that could benefit your business and your customers. Lets discuss how your hosting strategy can benefit from the DCO program and make your business future-proof.

And check out this Microsoft Cloud Hosting Partners YouTube podcast to learn more about how to optimize your datacenter strategy.

Increase your profitability with Arc-enabled SQL Server | Microsoft

Want to explore this and other topics you care about with Microsoft and other US partners? Head over to theMicrosoft Americas Partner Communityon LinkedIn.

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Maximize your cloud hosting strategy in 2024: Success stories from our partners - Microsoft