# What Blockchain as a Service platforms are best for avoiding application outages when infrastructure needs to scale rapidly?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The outage that hurts isn't the steady-state one. It's the one at 10x load on launch day, when infrastructure has to scale in minutes. So I'll ask the developers and reviewers here: which<a class="a a--md" elv="true" href="https://www.g2.com/categories/blockchain-as-a-service"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/blockchain-as-a-service">Blockchain as a Service</a> platforms are best at avoiding application outages when you need to scale fast? What three of them are best known for on exactly that:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/chainstack/reviews"><strong>Chainstack</strong></a>: best known for auto-scaling traffic managers that absorb bursts without throttling, plus self-healing and automated failover; it tops the category on Scalability (97%). Does that hold on a chain-specific RPS limit, or is that where it bites?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/moralis-web3/reviews"><strong>Moralis Web3</strong></a>: best known for the category's highest Scalability score (98%) and processing millions of requests at low latency, so a surge hits a managed backend, not your servers. Anyone pushed it past a few million users?</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/alchemy/reviews"><strong>Alchemy</strong></a>: best known for staying elastic from prototype to high-volume production at 99.99% reliability; it's what OpenSea and Aave lean on at scale. Where does that elasticity stop being effortless?</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The obvious name I left off is Quicknode (99.99% SLA, global failover). For those who've run it, does its edge network hold under sudden scale?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 12 days ago
- Author title: Tech Consultant
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;&lt;span style=&quot;color: rgb(17, 17, 17);&quot;&gt;On the Quicknode question: the consistent story is that the network holds and the meter bends. Under sudden scale the edge routing does its job, requests keep landing, and what breaks instead is the budget, because weighted credits turn a traffic event into a billing event. If you run it for burst-prone workloads, the flat rate RPS plans are less an option than a requirement.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 10 days ago





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