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Scalability

Scalability in Blockchain: Growing Pains and Future Gains

Imagine you’ve invited a few friends over for a backyard barbecue. You’ve got everything in check – the meat’s sizzling, drinks are chilled, and your playlist is on point. Your four pals arrive, and everything’s perfect. Now imagine, halfway through, your entire neighbourhood shows up, eager for burgers and beers. Suddenly, your single barbecue grill and limited supply of drinks just can’t keep up. This, in a nutshell, is the concept of scalability, a bit more technically applied to the world of blockchain and crypto.

Scalability determines a system’s ability to handle a growing amount of work, or its potential to be enlarged to accommodate that growth. In blockchain terms, it’s about how efficiently the network processes transactions as it scales up. Ideally, as more transactions come streaming in, the blockchain should be able to handle the increased workload without a hitch. However, that isn’t always the case.

Let’s take a moment to sympathise with Bitcoin and Ethereum, two of the biggest players in the crypto space. Picture them as the poor barbecue hosts in our story. Bitcoin can handle around 7 transactions per second (tps), while Ethereum, in its older iterations, rolls with approximately 15 tps. Compare this to traditional payment systems like Visa, which processes around 1,700 tps on average – and suddenly, our blockchain buddies seem a bit under-equipped for the party.

Now, scalability struggles aren’t a result of bad planning or lack of trying. It boils down to some fundamental principles of how blockchain operates. You see, blockchain nodes have to reach a consensus to validate a transaction. This is like your friends at the barbecue having to unanimously agree whether the burgers are perfectly cooked before anyone can take a bite. In a small group, it’s straightforward. But as the group grows, it becomes exponentially harder to reach that consensus quickly.

Ethereum took a major step in addressing scalability with its upgrade from Ethereum 1.0 to Ethereum 2.0 (Eth2 or Serenity). They implemented a technique known as “sharding”. Sharding is like setting up multiple smaller grills and dividing your friends into groups, each group cooking their meal independently. It splits the Ethereum database into smaller, manageable pieces called shards, allowing parallel transaction processing and thus improving overall scalability.

Another popular approach is the Lightning Network, designed for Bitcoin. It’s akin to passing out pre-made sandwiches at the barbecue to reduce the load on the grill. By setting up off-chain channels where multiple transactions can occur, and only the initial and final balances are posted on the blockchain, the Lightning Network significantly reduces the strain on the main Bitcoin network.

Then there’s proof-of-stake (PoS) versus proof-of-work (PoW) – think of PoW as your friends competing with each other to flip burgers the fastest (and then one person finally gets to flip), while PoS is more like selecting a chief burger flipper based on their past grilling successes. PoS can be more efficient, reducing the time it takes to validate transactions and easing scalability issues as a result.

Blockchain’s scaling issues are akin to those first-world problems we all love to gripe about – a little annoying, very real, and definitely not insurmountable. The community is continually brainstorming and implementing new solutions, from Layer 2 protocols to network upgrades, to make sure that when the entire neighbourhood shows up for the next big barbecue, everyone gets their burger promptly – and maybe a side of chips too.

As we grill through these growing pains, who knows what we’ll cook up next? One thing’s for sure, though – blockchain’s resilience and innovation promise a future where scalability woes will be a thing of the past, and every transaction will be as smooth as your best barbecue sauce.

Now, who’s turning up the heat?

Lucas N

Lucas N

Lucas N is Coin Culture's managing editor for people and market, covering opinon, interview and market analysis. He owns Near, Aurora and Chainlink

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