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- 1 The Solana network experienced 14 outages between January and October 2022.
- 2 The recent and largest outage lasted for over 18 hours.
After a history of network outages, Solana (SOL) has managed to cope with the crypto market. The network’s co-founder Anatoly Yakovenko recently appeared in an interview with Austin Federa, head of strategy at Solana Foundation, to discuss design philosophies, its evolution, use cases, and more.
Multiple Facets of Solana Network Outage
Interestingly, Yakovenko revealed the initial Solana outage was intentional. He explains, “We really needed to see what fails and how it fails, and obviously if we knew that these were failures that could cause an outage. The interesting part was that the things that caused an outage weren’t the load itself, it was problems in the code base that couldn’t handle the load at that specific performance.”
To this date, Solana has gone through several network outages with one protracted for over 18 hours in February 2023. On the contrary, it also indicates increasing activity on the network, leading to congestion. According to Solana uptime tracker, the ecosystem’s status monitor, the network experienced 14 outages between January and October 2022. About 9 of them transpired in January 2022 alone.
The blockchain has been running smoothly since March 2023 with 100 percent uptime. Regarding Solana’s evolution, he said “It takes multiple years to figure out in a complex system. If it took two years to build, it’s going to take at least two years to stabilize. That’s how long it took for Solana.”
The Buggy AI
The discussion took a turn to artificial intelligence (AI) integration with blockchain. Austin Federa presents a familiar question to a lot of AI critics: how can a user trust code deployed by a machine? Anatoly Yakovenko is positive that “people will get around to trusting the code written by a machine.”
He adds “I think AI is awesome for code generation. I think this is an amazing toolkit that’s going to make software much much faster than before.” AI has come a long way from playing checkers to deploying an entire website code. The technology has been criticized for potential human job loss, scarce emotions and creativity, and more.
However, AI is seemingly having issues while considering practical applications in the context of writing website code. Yakovenko asserts, “It’s kind of buggy. Right now, it generates a kind of buggy code. We’re very far from having an AI equivalent like L3 engineer.”
Lastly, he talked through advertisements in Web3 skeptically. He says, “Brave is trying to do it. I don’t know it’s hard to see right now, but that’s because crypto, Web3 users are the early adopters, weirdo tech people that already use ad block and stuff like that.”
Anurag is working as a fundamental writer for The Coin Republic since 2021. He likes to exercise his curious muscles and research deep into a topic. Though he covers various aspects of the crypto industry, he is quite passionate about the Web3, NFTs, Gaming, and Metaverse, and envisions them as the future of the (digital) economy. A reader & writer at heart, he calls himself an “average guitar player” and a fun footballer.
