
Explore how blockchain and Web3 can address cloud challenges by enabling decentralization, transparency, and immutability in cloud architectures amid rapid data creation and outages.
Explore how web3 and cloud technologies can work together to solve business problems, and identify who benefits—from students to investors and techies.
Explore cloud computing trends and multi-cloud concepts, then examine web3, blockchain, and distributed systems, weigh their features and limitations for cloud use, discuss applications, and study decentralized storage using blockchains.
Understand cloud computing as on-demand delivery of IT resources over internet with a pay-as-you-go model, using shared computing resources and access to computing, storage, and databases from a cloud provider.
Explore the three cloud service models IaaS, PaaS, and SaaS, and how virtual machines, platform features, and ready-to-use applications determine abstraction, control, and deployment options.
Cloud computing offers a pay-per-use model that drives agility and easy infrastructure upgrades. Costs become variable with traffic and revenue, helping startups scale without capital constraints and manage volatility.
Explore cloud deployment models by contrasting public, private, and hybrid clouds, and learn how virtual private clouds offer secure, customizable, on-demand resources within a shared public cloud.
Explore virtualization as the core technology of cloud computing, enabling multiple virtual machines on a single host. Learn about hypervisors and type 1 and type 2 architectures.
Explore cloud storage types: direct (local, ephemeral), file (NFS), block, and object, hosted by providers with scalable, durable storage, APIs, and per-gigabyte pricing.
The cloud services market surges as data growth drives demand, from 454 billion in 2022 to around 2.1–2.2 trillion by 2032, fueled by vast media data like images and videos.
Discover the rise of multi-cloud strategies, using multiple public or private clouds managed from a single interface to monitor and secure workloads, and learn how this differs from hybrid cloud.
Highlight cloud adoption's security challenges and breach risks, citing 98% of companies with at least one cloud data breach and a forecasted 22.5% CAGR to 148 billion by 2032.
Explore web3 as the decentralized web owned by users, where tokens and daos enable ownership, and networks run on open, permissionless, trustless, automated, decentralized principles.
Explore blockchain as a type of distributed ledger and encrypted, multi-node database, where many nodes maintain an identical state of the database and blocks differentiate it from other ledgers.
Blocks batch and store transactions across all nodes to keep a consistent history. Each block has header with last block's hash and a body with encrypted transactions, created at intervals.
Coordinate and verify transactions via the consensus mechanism, selecting and confirming blocks, with methods like proof of work, proof of stake, and protections against 51% attacks.
Discover how smart contracts function as self-executing programs on blockchain networks, acting as accounts that hold crypto assets and execute tasks as programmed.
Explore how blockchain tokens serve as virtual media of value, representing fiat currencies, commodities, voting rights, liquidity pool shares, and artwork usage rights.
Explore how network fees incentivize miners and validators in decentralized systems by examining Ethereum gas, gas price, and transaction complexity that drive costs and speed.
Explore what a distributed system is and how it uses multiple software components on multiple computers to work as a single entity over local or wide area networks.
Explore how distributed systems use nodes, individual computers that participate in a distributed network, running client software to communicate and act as a single entity across locations.
Distributed systems enable horizontal scaling by adding machines to grow capacity. They boost fault tolerance and low latency by routing to the closest node in New York or Sydney.
Explore the cap theorem in distributed systems, showing that only two of three traits—consistency, availability, and partition tolerance—can be achieved, while noting complexity, security risks, and high deployment costs.
Explore use cases of distributed systems across data stores, messaging, computing, file systems, and ledgers, highlighting traditional relational databases, no sql databases, distributed messaging, and blockchains.
The lecture explores how Web3 decentralization can transform cloud architecture by reducing reliance on centralized data centers, mitigating outages and costs, with blockchain metadata, distributed ledgers, and smart contracts.
Explore how Web3 enhances cloud security through transparency, cryptographic proofs, decentralized identity management, and smart contracts, with NFTs offering temporary access without credentials.
Enhance cloud privacy through decentralized identity management and self-sovereign identities in Web3, enabling trustless token-based access control and smart contracts that require only necessary attributes.
Examine how censorship resistance in decentralized systems makes takedowns harder than centralized networks and preserves information across many nodes.
Explain how Web3 brings immutability to cloud architecture through blockchain hash chaining, ensuring transparent supply chains and authentic records for KYC, land ownership, and intellectual property.
Explain how blockchains incur storage inefficiency, with all transactions stored on every node, driving storage growth and limiting scalability due to small block sizes and throughput.
Explore how block time, batching, and the consensus process introduce latency in blockchain networks, affecting block confirmation and cloud application practicality.
Examine how blockchain network fees rise with transaction complexity and congestion, increasing cloud costs. Assess how scalability challenges drive fees, potentially undermining cost effectiveness of blockchain-based cloud apps.
Explore the technical complexity of using blockchains for cloud applications, including immutability of smart contracts, public bytecodes, evolving access management and security, and the need for custom middleware and APIs.
Explore regulatory challenges of using blockchains in cloud architectures, including GDPR, data localization, and cross-border data transfers. Note how data immutability complicates erasure and AML/KYC compliance.
Explore applications built with blockchain as a storage network for cloud architectures to store transaction data, including supply chains, financial records, health data, voting, and digital identities.
Blockchains enable access control for cloud systems with a decentralized, transparent framework for managing permissions and identities, plus immutable audit trails, cross-platform interoperability, and token-based access with automatic revocation.
Blockchains securely store object metadata in cloud storage, delivering immutable records with verifiable timestamps and auditable ownership history. Smart contracts automate ownership transfers, royalties, and access control for digital objects.
Store storage indices on a blockchain to add decentralization to cloud databases. Leverage immutability, consensus, and transparent history to boost integrity, security, and auditability while weighing costs and latency.
Leverage blockchains to store and manage decentralized, synchronized indices across multi-cloud environments, with smart contracts enabling access control, data synchronization, and high availability through cross-cloud replication.
Explore decentralized storage as a web3 cloud solution with Ipfs and Filecoin, peer-to-peer content addressing, immutability, and miner-client token incentives via proofs of replication and space time.
The lecture evaluates three limitations of blockchain-based decentralized storage: unreliable permanent storage due to incentive gaps, volatile pricing, and censorship resistance enabling regulatory concerns.
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According to the DOMO Data Never Sleeps Report 10.0, in 2022, the global data creation, capture, copying, and consumption totalled approximately 97 zettabytes. This number is expected to surge to a whopping 181 zettabytes by the year 2025. Just to put it in perspective, a zettabyte equals one trillion gigabytes.
Every year, a staggering 1.81 trillion photos are taken worldwide, which translates to a mind-boggling 57,000 per second or a jaw-dropping 5.0 billion per day. We are witnessing an unprecedented rate of data creation, but it doesn't stop there; we're also sharing data at an astonishing speed.
In 2022, YouTube users uploaded a mind-blowing 500 hours of content every single minute, while Instagram users were sharing a remarkable 66,000 images per minute. The velocity at which data is being generated and shared is driving an accelerated adoption of cloud technology.
A report predicts that by 2025, the total data stored in the cloud will reach a monumental 100 zettabytes. At that time, around 50% of the world's data will reside in the cloud, a significant increase from the approximately 25% stored there in 2015.
However, this rapid growth in cloud adoption isn't without its challenges. Costly cloud outages and security breaches are the primary obstacles hindering the seamless integration of cloud solutions.
In a world where data privacy, security, and transparency take centre stage, the fusion of blockchain technology with cloud computing is at the forefront of revolutionizing how we store, manage, and access data. Allow me to introduce you to "Decentralized Cloud with Web3 (Blockchain)," a course meticulously crafted to equip you with the knowledge required to leverage the potential of decentralized cloud architectures powered by blockchain technology.
By the conclusion of this course, you'll possess a robust comprehension of how Web3 and blockchain technology can reshape the traditional paradigms of cloud computing.