Jeeya_Awan

@Walrus 🦭/acc focuses on reliability and trust. It ensures that even if the computers running the network change (nodes leaving/joining) or if someone tries to upload fake data, the system remains stable and honest.
I will give the practical example of "The Handover". Imagine a digital library where the staff (storage nodes) changes every 24 hours. This change is called an Epoch Change.
• The Problem (Churn): In most systems, when the old staff leaves and new staff arrives, there is a blackout period where you can't borrow books because the new staff is still organizing the shelves.
• The Walrus Solution: It uses a multi-stage transition. The Old Committee stays active while the New Committee is being set up. They pass the data baton smoothly so that users can still upload and download files without even noticing the staff change.
Let's take a look at defending against "Malicious Clients";
Walrus uses Authenticated Data Structures.
• Example: If a user tries to upload a file but intentionally omits a few pieces to break the system, the system detects it immediately.
• Why it matters: It prevents a bad actor from wasting the network's storage space or corrupting the data that other people are trying to read.
I also observed the performance at scale (Graph) and experimental evaluations show that as the number of nodes increases, Walrus doesn't slow down like traditional blockchains. Instead, its performance remains steady because of how it handles data.

To understand how Walrus handles Epoch Changes and Scaling practically, I'm giving you a concrete example and the data visualized in the graphs.

The first one was practical example of the Handover Transition.
Take a decentralized video streaming app as an example using Walrus. The network undergoes an Epoch Change (every week, the set of storage nodes is updated based on staking).
• The Scenario: At 12:00 PM on Sunday, the Old Committee (100 nodes) is scheduled to be replaced by the New Committee (100 nodes, some different).
• Traditional Failure: In older systems, the network might pause for several minutes to sync data, meaning a user watching a video would see a "Loading..." spinner or a 404 error during the switch.
• The Walrus Solution: Walrus uses a multi-stage transition. From 11:55 AM to 12:05 PM, both committees are active.
• Writes go to both.
• Reads can come from either.
• Result: The user watching the video never sees a glitch.
Now let's visualize the benefits;
1. Availability During Churn:
As I've shown you in the availability during Node Churn graph:
• Traditional Systems (Red): Experience a blackout or a massive drop in reliability during transitions because they haven't solved the synchronization problem during node swaps.
• Walrus (Green): Maintains a flat line of near-perfect availability. The Multi-stage protocol ensures that data is always reachable, even while the staff is changing.
2. Performance at Scale:
As I've shown you in the performance at Scale graph:
• Traditional Systems (Red): Often suffer from "coordination bloat." The more nodes you add, the more they have to talk to each other to stay in sync, which causes latency (delay) to skyrocket.
• Walrus (Green): Because of its decentralized architecture and authenticated data structures, adding more nodes doesn't slow it down significantly. It achieves practical performance, meaning it stays fast enough for real-time apps even as the network grows to hundreds or thousands of nodes.
#Walrus $WAL

Red stuff is the core of Walrus, uses a 2D mathematical grid to provide high security with low storage costs, allowing the system to self-heal by downloading only the tiny fraction of data that was actually lost..
(𝑂(|𝑏𝑙𝑜𝑏|/𝑛) versus 𝑂(|𝑏𝑙𝑜𝑏|) in traditional systems).
That statement describes the core efficiency and mathematical advantage of the Red Stuff protocol.
To understand why this is a superpower for decentralized storage, I found out that how it solves the repair bandwidth problem. The problem is why traditional systems Panic?
In standard 1D erasure coding (like Reed-Solomon), if a single storage node goes offline and its data is lost, a "repair" node usually has to:
1. Download fragments from many other nodes.
2. In many cases, it must download enough data to reconstruct the entire file just to fix one tiny missing piece.
This means the repair bandwidth is $O(|blob|)$—if the file is 1GB, you might move 1GB of traffic to repair just 10MB of lost data.
✓ The Solution: Red Stuff's 2D:
MagicRed Stuff organizes data into a two-dimensional matrix (rows and columns) and encodes it in both directions.
• Row & Column Encoding: Every sliver of data belongs to both a row and a column.
• Self-Healing: If a node fails, the system doesn't need the whole file. It can use the other dimension (e.g., the specific row peers) to reconstruct only the missing sliver.
• The Math: This reduces the bandwidth for a single node repair to $O(|blob|/n)$, where $n$ is the number of nodes. If I explain in simple terms, it would be that if you have 100 nodes, repairing a lost piece only requires about 1/100th of the total file's bandwidth, rather than the whole thing.

Let note on the 4.5x factor: While 4.5x sounds higher than some simple 1D schemes, it is mathematically tuned to provide Byzantine Fault Tolerance (BFT). This ensures the data is safe even if 1/3 of the storage nodes are actively malicious or trying to trick the system, which 1D schemes often struggle to handle without centralized help.

To visualize the impact of the Red Stuff protocol, focus at two specific areas: how repair costs scale as the network grows and how the storage overhead compares to other high-security methods.
1. The Scaling Advantage: Repair BandwidthIn traditional 1D erasure coding, repairing a lost fragment usually requires downloading a significant portion of the entire blob. This cost is constant, regardless of how many nodes are in the network.
As I mentioned in the first graph (Repair Bandwidth Efficiency):
• Traditional Systems ($O(|blob|)$): If you have a 1GB file, you might always need to download nearly 1GB of data to fix one small missing piece. This line remains flat and high.
• Red Stuff ($O(|blob|/n)$): Because of the 2D matrix structure (rows and columns), the bandwidth needed for repair drops as the number of nodes ($n$) increases. In a 100-node network, the repair cost is roughly 1/100th of the total file size. This makes the system "self-healing" without clogging the network.
2. The Storage Sweet Spot: 4.5x Replication:
While standard 1D erasure coding (like 1.5x overhead) is space-efficient, it often lacks the security guarantees needed for a truly decentralized, Byzantine Fault Tolerant (BFT) system.
As I mentioned in the second graph (Replication Factors):
• Full Replication: To achieve the same level of security (BFT) without erasure coding, you would need massive replication factors (often 20x or more), which is prohibitively expensive.
• Standard 1D Coding: Low overhead, but fails to provide efficient recovery under node churn and lower security thresholds.
• Red Stuff (Walrus): At 4.5x, it hits a Goldilocks zone. It is significantly cheaper than full replication but provides the high security and efficient recovery (the $O(1/n)$ bandwidth) that simpler coding schemes cannot.
✓ I make a visual representation of the 2D grid to imagine how the math works, think of the data organized in a square:

If Data E is lost, the system doesn't need to rebuild the whole square. It can simply look at Row 2 (Data D, F, and Parity 2) OR Column 2 (Data B, H, and Col P 2) to recover the missing piece instantly.
This "two-way" recovery is what enables the $O(|blob|/n)$ efficiency.
@Walrus 🦭/acc #Walrus $WAL

#Walrus dirancang untuk menangani blob (objek biner besar) secara lebih efisien dibandingkan penyimpanan blockchain tradisional atau jaringan terdesentralisasi yang ada seperti IPFS atau Filecoin.
Mari kita lihat bagaimana pernyataan ini benar; menurut saya, poin pertama adalah masalah kompromi. Dalam sistem terdistribusi, biasanya Anda harus memilih dua dari tiga hal: biaya rendah, keandalan tinggi, atau kecepatan tinggi. Poin kedua adalah replikasi penuh, setiap node menyimpan salinan. Ini sangat aman tetapi sangat mahal, misalnya menyimpan 1GB akan menghabiskan biaya setara 1.000GB jika ada 1.000 node. Dan poin ketiga adalah kode erasure sederhana, yang memecah data menjadi fragmen. Ini menghemat ruang tetapi sering kali membutuhkan bandwidth yang sangat besar untuk merekonstruksi file jika beberapa node offline.

@Dusk , bersama dengan NPEX, telah bermitra dengan Quantoz Payments, untuk membawa EURQ ke Dusk.
Berlokasi di Belanda, Quantoz Payments bergerak di bidang yang sama dengan kami; membawa keuangan yang diatur ke dalam blockchain. Dengan infrastruktur mereka, pembayaran Quantoz semakin dekat untuk mendorong adopsi massal Dusk. Mereka tidak bisa menemukan mitra yang lebih baik! EURQ adalah euro digital mereka, dirancang untuk sepenuhnya mematuhi regulasi MiCA, dan sesuai untuk kasus penggunaan yang diatur.
Senja adalah salah satu dari tiga blockchain di mana Anda dapat mengakses EURQ, dan satu-satunya yang dirancang khusus untuk penerbitan aset dunia nyata secara native serta memiliki kepatuhan yang dibangun sejak awal.

@Dusk is thrilled to announce a key partnership with Cordial Systems, marking a major step toward the realization of a fully blockchain-powered financial ecosystem. This partnership represents a key milestone in Dusk’s vision for an on-chain financial future. The rapid adoption of tokenized assets is reshaping capital markets, unlocking new efficiencies, liquidity, and transparency, and at Dusk we are at the forefront of delivering real solutions for institutions.
• Cordial Systems: Strategic Partners
Cordial Systems has established itself as a trusted innovator in the tokenization sector, collaborating with industry leaders such as Figure Markets and its parent company, Figure.com, which has facilitated the origination of over $20 billion in private credit on-chain.
For our integration with NPEX, Cordial Treasury was the ideal solution, offering a seamless deployment process and fully on-premises infrastructure. Given its status as a regulated financial institution, NPEX prioritizes maintaining direct control over its technology stack, avoiding the risks associated with third-party SaaS custody solutions. Cordial’s expertise in blockchain integration—capable of adding support for new networks within weeks—enabled a smooth connection with Dusk’s approved Layer 1 blockchain.
#Dusk is thrilled to partner with such a trustworthy and impressive partner, and are excited for the opportunities their custodial solution will open up.
• Dusk Institution-Grade Custody: The Backbone of Secure Digital Asset Management

A key element of this initiative is 'Dusk Vault', which provides a secure and compliant custody solution tailored for financial institutions. NPEX is not just an integration partner but also a client, further validating the reliability and security of Dusk’s custody infrastructure.
By leveraging 'Cordial Treasury', a self-hosted wallet technology developed by Cordial Systems, institutions like NPEX can maintain full control over their digital asset custody. This eliminates dependence on third-party SaaS providers, ensuring operational resilience and regulatory compliance.
This strategic move not only enhances security but also accelerates institutional adoption of Dusk’s Layer 1 blockchain, making it a preferred choice for compliant digital asset transactions.
• Why This Partnership is Key to Dusk’s Future Plans?
This collaboration is a cornerstone of Dusk’s broader vision to build a fully decentralized and compliant financial ecosystem. By working with NPEX and Cordial Systems, Dusk is ensuring that traditional financial institutions can truly transition to blockchain-based infrastructure without compromising on security, regulation, or operational efficiency. Not just a few tokenized products here and there that are still managed and issued off-chain, but bringing the entire system onto the Dusk blockchain.
With the expansion of on-chain finance, we will introduce custody solutions for all digital assets, including cryptocurrencies, tokenized securities, and commodities. This will significantly streamline institutional onboarding, making Dusk an integral player in the convergence of blockchain and traditional finance.
• Redefining the Future of Finance:
As the demand for blockchain-based financial solutions grows, partnerships like this will define the next generation of capital markets. Dusk remains at the forefront of innovation, ensuring that institutions can leverage decentralized ledger technology while adhering to the strictest compliance standards.
For institutions looking to embrace the next wave of digital finance, Dusk provides the foundation for secure, scalable, and regulation-ready blockchain solutions.
$DUSK

@Dusk sedang berkembang menjadi tumpukan modular tiga lapis yang mengurangi biaya dan waktu integrasi sambil mempertahankan privasi dan keunggulan regulasi yang membedakan jaringan ini. Arsitektur baru ini menempatkan lapisan konsensus/data ketersediaan/settlement (DuskDS) di bawah lapisan eksekusi EVM (DuskEVM) dan lapisan privasi yang akan datang (DuskVM).
• Mengapa perubahan ini?
✓ Mempercepat peluncuran aplikasi.
✓ Integrasi dengan dompet, jembatan, bursa, dan penyedia layanan menjadi lebih cepat berkat alat standar Ethereum.