Learn More
The world is becoming increasingly numeric, where data is its fuel. As fuel, it must be stored, distributed, and computed. The emergence of the internet and subsequent services have enabled people to effortlessly communicate, share, and store their information and data with their families, friends, governments, and other entities.
This massive data storage makes up the foundation of Big Data—a phenomenon aimed at enhancing the quality of services and user experience through analyzing large-scale datasets or training artificial intelligence (AI) algorithms. These new technologies brought the emergence of new applications in the supply chain, healthcare, and language inference. Today, everyone has a mobile phone with diverse applications, which densifies the stratum of interaction in the numeric world.
Here are some reliminary statistics from NextWork:
The global cloud computing market is expected to reach $912.77 billion in 2025.
The market is projected to grow at a 21.20% compound annual growth rate (CAGR) from 2025 to 2034.
End-user spending on cloud services is forecast to hit $723.4 billion in 2025.
Global cloud spending is expected to increase by 21.5% in 2025 compared to 2024.
Managing and storing such large amounts of data requires an enormous computer science infrastructure. Cloud data storage has quickly become the go-to solution for companies because of the increasing number of data breaches associated with traditional and local storage solutions, their lack of accessibility worldwide, the interoperability issues, and the deployment costs of establishing new infrastructure.
In this section, we propose you to explore the Cloud, AI, and the technologies that makes Computer Science more advanced everyday.
This first chapter introduces you the genesis and timeline of the evolution of two fundamental pillars of the computer science: the data storage and artificial intelligence.
Embark in the arguments which forged the reputation of Cloud technologies. We explore what makes centralized Cloud paltforms and decentralized physicial infrastructure networks (DePIN) the support of IT technologies in the future decade.
The modern cloud landscape combines centralized platforms—ranging from global hyperscalers to regional, sector-specific providers—that offer managed, compliant, and highly available services tailored to different industries and geographies. In parallel, decentralized infrastructure networks (DePIN) are emerging as a token-incentivized, censorship-resistant alternative for storage, networking, and compute; despite integration, QoS, and compliance challenges, they are steadily improving as viable components in hybrid and multi-cloud architectures.
The cloud market is booming, but each model comes with its own trade-offs: centralized platforms struggle with vendor lock-in, governance, security/compliance risks, performance variability, and opaque cost structures, while DePIN faces inconsistent QoS, fragmented governance, security and regulatory uncertainty, and higher integration complexity. Hybrid and multi-cloud setups try to balance these worlds but introduce their own challenges around operational complexity, cross-cloud integration, consistent security/governance, and clear cost visibility.
Most teams need multi-cloud but struggle with rising costs, operational waste, unused credits, and fragmented governance, because today’s tools mainly solve deployment while leaving management, monitoring, and integration scattered across providers. Flashback steps in as a neutral integration and control layer—one API and UX that unifies centralized clouds and DePIN, adds observability and guardrails (budgets, quotas, governance, privacy), and lets companies tap both hyperscalers and decentralized capacity without rewriting their apps.
Last updated
Was this helpful?