Top Tweets for #SHARDING
What happens when a relational database design built for #ecommerce is pushed to planetary scale? For Shopify, the answer involved years of custom #sharding, massive #replication overhead, and growing application complexity. π€
Discover how @Shopify is navigating its move from large-scale #MySQL deployments to #YugabyteDB, and what that shift means for engineers building systems at extreme scale.π‘
https://t.co/I5LFRHZJxG

Evolutionary innovation is not something that is exclusive to the few
History has shown he who fails to build and scale up will become OBSOLETE. #Sharding Trusted Technology from $Egld @MultiversX @xPortalApp #SUPERNOVA AIAgent #ArgenticNetwork #Infrastructure #SecuritySoloution

@RandomVendom Pulling with my season 6, 3 star guaranteed extraction ticket #WeNotGettingShit #Sharding
Educational: Alephium is a Layer 1 blockchain designed for high scalability and DeFi performance. It introduces a unique UTXO++ model combined with state sharding.
#Alephium #ALPH #UTXO #Sharding #DeFiScalability
#Web3Wednesday
π«‘ Scaling is #blockchainβs biggest bottleneck.
Thatβs where #sharding comes in.
Instead of one network doing everything, it splits into smaller parts (shards) that process transactions in parallel.
More speed. Less congestion. Better efficiency.

@lucianmincu
When history is written it's will say you made the right choice.
And took the hardest option, the one they all said was impossible #SHARDING #SUPERNOVA @MultiversX

A Bet We Made in 2018
This is me and Vitalik in 2018. ETH Devcon.
We were at a table talking about sharding and how blockchains could actually scale by running execution in parallel.
At the time, Ethereum and Elrond had the same thesis. Both believed execution sharding was the path forward.
Since then, Ethereum changed direction multiple times. Sharding gave way to rollups. Rollups gave way to "we need to scale L1 again." The roadmap shifted, the promises changed, the technical approach pivoted more than once.
And through all of it - the Ethereum community stayed. They gave the team the space to find the right path. They didn't kill the project when the roadmap changed. They believed the builders would figure it out.
That patience is what kept Ethereum alive. Not the technology. The community.
βββ
We made a different bet. We bet on execution sharding from day one and we never left that path.
Adaptive state sharding shipped on mainnet in 2020. Three execution shards plus a metachain. State, network, transactions - all sharded from genesis.
Supernova shipped this year. Consensus decoupled from execution. 600ms blocks. achieved 88ms finality. 120,000 TPS burst mode on the same validator hardware. 3,200+ validators on consumer-grade machines.
171,000 commits. #6 in the entire industry. Ahead of Solana, Avalanche, Sui, Polygon, Aptos, and TON.
Tier-one infrastructure providers on board, distribution partners like Cointelegraph are running validator nodes. Stripe's Machine Payments Protocol is settling on MultiversX. EGLD is named in an Arizona state strategic reserve bill. The agentic commerce stack - x402, MPP, MX-8004, UCP, ACP, MCP - is live on one chain. xMoney is building regulated stablecoin issuance under MiCA.
The infrastructure underneath has never been stronger.
βββ
And yet the market prices EGLD like none of this exists.
Every blockchain community is going through the same thing right now. EGLD is down. ETH is down. SOL is down. The market doesn't differentiate between chains that shipped paradigm-shifting infrastructure and chains that shipped a landing page.
But here's what's different about right now.
Bitcoin survived 2014. Ethereum survived 2018. Solana survived 2022. In each case, the community stayed long enough for the technology to matter. In each case, the community that held wrote the next chapter.
And in each case, the ones who fractured, who turned on their own builders, who let the loudest voices - the ones who already sold - define the narrative? Those communities don't exist anymore. You don't remember their names.
The perception of value has been distorted. By cycles. By speculation. By narratives that reward noise over engineering. And by us - divided when we should be united. Turning on each other instead of building forward together.
Look at what's underneath. Not the chart. The infrastructure.
88ms finality. 120K TPS. #6 in developer activity globally. Tier-one infrastructure partners. Stripe settling on-chain. EGLD in US state legislation. Regulated stablecoins under MiCA. An agentic commerce stack that Visa, Coinbase, and Mastercard are racing to replicate.
This is not a project searching for relevance. This is a project that shipped the relevance and is waiting for its community to match it.
If this fails, it won't be because the technology wasn't good enough. It will be because we weren't united enough to carry it forward.
I've been here since 2018. That table with Vitalik. Every pivot, every cycle, every doubt. Still here. Still building.
Now it's your turn. Not to believe. To show up.

Exploring the architecture of the future with $NEAR Protocol β where sharding unlocks true scalability and seamless Web3 experiences. @NEARProtocol
#NEAR #Web3 #Blockchain #Sharding #Crypto

I don't get it, what's wrong.
History in the making and silence.
Everyone in the industry should be
Congratulations $Egld @MultiversX for the next generation of technology
But silence from industry, is it because we've done what other protocols though was impossible #SHARDING

Will they take us seriously π€ Now we have #SUPERNOVA no traffic jams
Will #SHARDING BE THE DEATHS OF SOME PROTOCOLS MAKING THEM OBSOLETE π€
@MultiversX @xPortalApp @xExchangeApp

With @cellframenet #QUANTUMPROTECTION is here and it will be even faster with #sharding. π
#CELL $CELL #QEVM
#cellframe SDK 6.0 is moving closer and closer to release.
This version has lot of optimizations, including cryptography boost.
Is there anything quicker than XKCP and TinySHA3 ?
If no - we have now the fastest implementation of #sha3 hashing function now!

π¨ Your database is slow.
Users are growing.
Queries are timing out.
Do you PARTITION the database or SHARD it?
Most engineers get this wrong in system design interviews
#SystemDesign #Databases #Backend #Sharding #Scalability
@PlanetScale @BenjDicken Link: https://t.co/gICZAkeqCu
Extremely well written and easy to understand for beginners. Highly recommended!
#PlanetScale #Databases #Sharding #SQLDatabases
Letβs step back for a moment. #Sharding is impressive, throughput is high, everything is fast, but if the system isnβt truly decentralized, then all of this can be done in Web2, and much faster and cheaper.
Yes, decentralization isnβt binary (either/or), and even partial decentralization can matter, but when token supply, distribution, and governance concentrate power anyway, #decentralization starts to look more like a theoretical ideal than a practical reality. In that case, why spend so many resources building increasingly complex #blockchains, if in practice they deliver only limited neutrality and end up replicating much of what Web2 already does?

@NEARLegion What specific internal evaluation metrics is the NEAR Foundation employing to guide grant allocations toward projects that effectively bridge Web2 data sources with on-chain AI agents? #Sharding #NEAR
Max TPS today: 381k TPS π€
That is even faster than my own internal tests. A really, really good run today.
Thanks to everyone in the private testing group for participating on a Sunday at the end of December. Really appreciate all your help β€οΈ
It's good to see my own internal findings confirmed by the larger group.
Now we need more shard groups π«‘

"podcast" with @perplexity_ai diving deep into the #Blockchain Trilemma! π‘οΈβοΈπ
@Hela_Network #blog clear it all !
#Sharding splits the load, rollups crush congestion off-chain, but security? We unpacked it ALL.
Mind blown? Drop your take below!
https://t.co/2oCtL4rVDv
@coingecko $ALPH
Tired of high swap fees and slow trades during volume spikes?
#Alephium native BlockFlow Sharding keeps fees low and execution fast even under peak load.
Single-chain UX. No L2 dependency chains needed. β‘
#Sharding #L1 #Scalability #Defi #ALPHchain

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