RPC Providers Now Demand 99.99% Uptime for AA & AI Agents—Did We Just Rebuild AWS on Blockchain?

General
1

Hey everyone, Mike here :waving_hand:

I’ve been running blockchain analytics pipelines for the past few years, and something shifted dramatically in 2026 that I think deserves our attention: RPC node providers are now committing to 99.9–99.99% uptime SLAs, positioning themselves as enterprise-grade infrastructure comparable to traditional cloud services.

This evolution was driven primarily by two emerging use cases: Account Abstraction (AA) transactions and AI agents executing on-chain. Both demand reliability levels we haven’t historically expected from Web3 infrastructure. But here’s the question that keeps me up at night: Did we just rebuild AWS, except with blockchain settlement?

The Data: 2026 RPC Infrastructure Landscape

Let me break down what I’m seeing in the numbers:

Provider Uptime SLA Regional Endpoints Dedicated Nodes WebSocket Support
Chainstack 99.99% Multi-cloud routing Yes Yes
QuickNode 99.99% 80+ chains supported Yes Yes
GetBlock 99.9% Frankfurt, NY, Singapore Yes Yes
Ankr 99.99% 56ms avg response time Yes Yes

Source: GetBlock RPC Providers 2026

The Web3 infrastructure market grew from .41B in 2025 to .55B in 2026—a 39.6% CAGR. That’s not incremental improvement; that’s a fundamental shift in how we think about blockchain access infrastructure.

Why AA & AI Agents Demand Enterprise Uptime

Here’s where it gets technically interesting:

Account Abstraction requires multiple RPC calls per transaction:

  1. Estimate gas for UserOperation
  2. Submit to bundler mempool
  3. Query bundler for inclusion status
  4. Fetch transaction receipt
  5. Verify on-chain state update

A single RPC failure breaks the entire UX flow. Users won’t tolerate “try again in 5 minutes” when they’re trying to pay for coffee with their smart wallet.

AI Agents executing on-chain have even stricter requirements:

  • Real-time WebSocket streams for event-driven execution
  • High RPS headroom for burst traffic (agent discovers arbitrage opportunity → immediate execution)
  • Flat-rate or predictable billing (can’t have agents optimize gas fees but blow budget on RPC costs)
  • ERC-8004 identity standard support for agent discovery and reputation

Source: Noode Web3 Development Report 2026

The AWS Parallel Nobody’s Talking About

Here’s what worries me as an infrastructure engineer:

Modern Web3 dApp architecture in 2026:

  • Dedicated RPC endpoints (like AWS EC2 dedicated instances)
  • Regional affinity routing (like CloudFront edge locations)
  • Multi-provider failover (like AWS multi-region deployments)
  • Enterprise SLAs with uptime guarantees (like AWS Support plans)
  • Real-time observability dashboards (like CloudWatch)

Traditional AWS web app architecture:

  • Dedicated EC2 instances
  • CloudFront for regional delivery
  • Multi-AZ failover
  • Enterprise Support
  • CloudWatch monitoring

See the problem? We recreated the exact same centralized infrastructure patterns, just with Ethereum/Base/Optimism as the settlement layer instead of PostgreSQL.

What On-Chain Data Tells Us

I analyzed RPC reliability impact on dApp performance metrics from Q4 2025:

  • DeFi protocols with 99.99% RPC uptime: 12.3% higher TVL, 34% more daily active users
  • NFT marketplaces during drops: 99.9% uptime vs 99% = 8.2x fewer failed mints
  • GameFi apps: Each 0.1% uptime improvement = 15% reduction in user churn

The market has spoken: users demand reliability. But at what cost to decentralization?

The Core Question

I keep going back and forth on this:

Option A: RPC providers are just the access layer, like ISPs for the internet. Ethereum L1 remains decentralized, we just need reliable gateways to it.

Option B: If 80% of dApps depend on 3-4 major RPC providers with enterprise SLAs, we’ve created centralized points of failure and censorship. The protocol is decentralized, but practical access is controlled by an oligopoly.

Running my analytics pipelines, I need 99.99% uptime or my data dashboards break. I get it. But I also remember why we started building on blockchain in the first place—to avoid exactly this kind of infrastructure dependency.

Questions for the Community

  1. Are you running your own nodes, or using RPC providers? What’s your uptime experience?
  2. For AA/AI agent builders: What’s your RPC reliability threshold? Can you tolerate 99% vs 99.99%?
  3. Cost trade-offs: How much are you paying for dedicated endpoints vs shared pools?
  4. Multi-provider setups: Anyone doing automatic failover? What’s your stack?

I’d love to hear especially from folks building production dApps, DeFi protocols, or infrastructure tooling. Did we just trade one form of centralization for another, or is this a necessary step toward eventual decentralization?

—Mike

P.S. I’m naming my next data pipeline “Squid Game” because monitoring RPC uptime feels like a survival competition these days :sweat_smile:

2

Mike, this is the exact conversation I’ve been having with other zkEVM builders lately, and you’ve nailed the data side of it. Let me add the protocol-layer perspective.

Infrastructure reliability ≠ protocol-level centralization, but I understand why the AWS comparison feels apt.

The Technical Nuance

I’ve been building on Ethereum for 9 years, and here’s what I’ve observed: Ethereum L1 remains genuinely decentralized with thousands of validator nodes operated by independent parties globally. RPC providers sit at a completely different layer—they’re access infrastructure, not consensus participants.

Think of it like this:

  • Consensus layer: Ethereum validators (13,000+ nodes) → Decentralized
  • Execution layer: Full nodes anyone can run → Decentralized
  • Access layer: RPC providers like GetBlock, QuickNode → Centralized oligopoly

The problem isn’t that RPC providers offer 99.99% SLAs. The problem is if we don’t have alternatives.

Why Production dApps Need This

Look, I’m a decentralization maximalist. I run my own archive nodes. But when I’m building a zkEVM implementation that needs to sync state from L1 in real-time, here’s reality:

  • My self-hosted node: Goes down during OS updates, had disk failures twice last year, 98.7% uptime
  • Chainstack dedicated endpoint: 99.99% uptime, automatic failover, regional load balancing

For development and personal use, I use my node. For production dApp serving 50K users, I cannot afford downtime. Users don’t care about decentralization philosophy when their transaction fails.

The Internet Analogy

We use AWS, Cloudflare, and Vercel to host websites. That doesn’t make HTTP centralized. The protocol remains open—anyone can:

  • Run their own web server
  • Use alternative hosting providers
  • Build on open standards

Same with Ethereum:

  • Anyone can run a full node (hardware requirements: ~2TB SSD, 16GB RAM)
  • Multiple RPC providers exist (GetBlock, Alchemy, Infura, QuickNode, Ankr, etc.)
  • Light clients are improving (EIP-4844 helps)

The Real Risk: Oligopoly

Here’s where I agree with your concern, Mike:

If 80% of dApps depend on 3-4 major RPC providers, those become:

  1. Single points of failure (Infura outage 2020 proved this)
  2. Censorship vectors (OFAC compliance is already happening)
  3. Surveillance infrastructure (providers see all transaction patterns)

This is a systemic risk that we need to address.

Solutions in Development

The community is working on this:

1. Light Clients
Helios, Portal Network, etc. enable users to verify chain state without full nodes. Still early, but improving.

2. Decentralized RPC Networks
Pocket Network, Lava, Koi Finance—incentivized node operators provide RPC services. Not as performant yet, but competition matters.

3. Multi-Provider Setups
We run 3 providers with automatic failover:

  • Primary: Chainstack (low latency, dedicated)
  • Backup: QuickNode (different data centers)
  • Emergency: Self-hosted node (for when everything else fails)

Cost: ~K/month, but our dApp handles M daily volume—worth it.

4. Running Your Own Infrastructure
If you’re serious about decentralization and have the resources, Erigon or Reth are excellent Ethereum clients with lower hardware requirements than Geth.

My Take

The AWS comparison is fair. We have recreated similar infrastructure patterns. But unlike AWS (which is a closed system), blockchain infrastructure has these key differences:

  • Open protocol: Anyone can run a node, no permission needed
  • Multiple providers: Competition exists, barriers to entry are reasonable
  • Cryptographic verification: You can verify data integrity, can’t fake consensus
  • Exit option: If RPC providers become hostile, devs can migrate or self-host

Is this ideal? No.
Is it a necessary trade-off for production apps today? Yes.
Should we keep pushing for better decentralized alternatives? Absolutely.

The honest answer is: current RPC centralization is a temporary architecture, not a permanent feature. As light clients mature, hardware gets cheaper, and decentralized RPC networks scale, we’ll reduce dependency.

But today, if I’m building an AA wallet or AI agent, I’m using Chainstack with QuickNode failover, verifying data against my own node periodically, and contributing to light client development. Pragmatism + decentralization, not ideological purity.

What’s your failover stack look like, Mike? And has anyone here tried Pocket Network for production traffic?

—Brian

3

Coming at this from the startup/product side, and I’ve got some hard truths from the trenches.

Users Don’t Care About Decentralization (Yet)

I know that’s painful to hear, but here’s what I see running a Web3 app with 12K MAUs:

What users care about:

  • App loads fast (< 2s)
  • Transactions confirm quickly (< 10s)
  • Zero downtime when they’re trying to use it
  • Works on their phone

What users DON’T ask about:

  • “Is your RPC provider decentralized?”
  • “How many nodes validate this transaction?”
  • “What’s your infrastructure philosophy?”

If our app goes down, we get angry support tickets and churn. Nobody has EVER said “it’s okay, I understand you’re prioritizing decentralization.”

The Business Reality: RPC Costs vs Cloud Hosting

Let me share actual numbers from our stack:

Current monthly costs:

  • Dedicated RPC endpoints (GetBlock + QuickNode): ,200
  • AWS hosting (frontend, backend APIs): ,800
  • Total infrastructure: ,000/month

For comparison, our Web2 competitor:

  • AWS hosting alone: ,500/month
  • No blockchain infrastructure needed

We’re actually COMPETITIVE on infrastructure costs. The RPC providers aren’t gouging us—they’re delivering enterprise reliability at reasonable prices.

Product-Market Fit Challenge

Here’s the thing Brian and Mike both touched on but I’ll say directly: If we force users to run nodes or accept downtime, we lose to Web2 alternatives.

I spent 6 months trying to educate users about “why blockchain matters” and “decentralization benefits.” You know what worked? Making the app so fast and reliable they didn’t notice it was Web3 until they realized they owned their data.

User acquisition funnel reality:

  • 1000 people hear about our app
  • 300 click through to try it
  • 100 create an account
  • If the app is down or slow during that first session, 90% never come back

99% uptime means 7 hours of downtime per month. If those 7 hours hit during peak usage (evenings/weekends), we could lose 30% of potential users. That’s business death.

The Investor Perspective

We’re in the middle of Series A fundraising right now. Here’s what VCs ask about:

:white_check_mark: “What’s your uptime SLA?”
:white_check_mark: “How do you handle infrastructure failover?”
:white_check_mark: “What’s your disaster recovery plan?”

:cross_mark: “Are you decentralized enough?” ← Never asked
:cross_mark: “Do users run their own nodes?” ← Never asked

Investors want to see that we’re building a sustainable business, not a decentralization experiment. They know crypto-native users care about decentralization, but they also know we need to reach mainstream adoption to hit their return targets.

The AWS Parallel? I’m Cool With It

Mike’s comparison to AWS actually makes me MORE optimistic, not less.

AWS enabled the internet-scale startup boom because:

  • Developers didn’t need to build data centers
  • Reliable infrastructure was accessible to small teams
  • Focus shifted from “keeping servers alive” to “building products users love”

If RPC providers do the same for Web3:

  • Developers don’t need to run node infrastructure
  • Reliable blockchain access is accessible to small teams
  • Focus shifts from infrastructure to product experience

That’s how we win mainstream adoption.

The Pragmatic Approach

Here’s our current strategy, and I think it balances idealism with reality:

Phase 1 (Now): Use enterprise RPC providers, ship fast, get users, prove product-market fit

Phase 2 (12-18 months): Once we have revenue and scale, invest in multi-provider setup with one self-hosted node

Phase 3 (Long-term): Contribute to decentralized RPC networks (Pocket, Lava), support light clients, help mature the ecosystem

We can’t afford to wait for perfect decentralization before launching. Better to build successful products on “good enough” infrastructure today, then help improve that infrastructure tomorrow.

The Real Question

Instead of asking “did we rebuild AWS?”, I think the better question is:

“Can we build Web3 apps that are SO good that users choose them over Web2 alternatives, even while we’re still working on perfect decentralization?”

If we make decentralization a blocker to good UX, we lose before we start. If we use centralized infrastructure as a temporary bridge to mainstream adoption, we create the economic incentives to fund better decentralized solutions.

@blockchain_brian — Your multi-provider setup is exactly what we’re planning for our next funding round. Curious: how do you handle automatic failover? Is that custom code or using something like web3.js provider engine?

@data_engineer_mike — Would love to see your on-chain data comparing user retention by app uptime. That would be killer ammunition for our pitch deck :sweat_smile:

—Steve

P.S. My 3-year-old daughter asked why I’m “always typing to computer friends” instead of playing. Told her daddy’s building the future internet. She said “old internet works fine.” Kids are brutal product managers.

4

As someone running a DeFi protocol that processes millions in daily volume, I need to add the risk management perspective here. This isn’t just about uptime—it’s about protocol survival.

Why 99.99% Uptime Isn’t Optional for DeFi

Let me be blunt: Our yield optimization bots need 99.99% uptime or we literally lose money.

Here’s what happens when RPC fails during critical operations:

Flash Loan Arbitrage Execution:

  1. Bot detects price discrepancy between DEXs → RPC call
  2. Simulate flash loan transaction → RPC call
  3. Submit transaction to mempool → RPC call
  4. Monitor for inclusion → RPC call
  5. Verify execution and profit → RPC call

Total time window: 12-15 seconds. A single RPC timeout = missed opportunity or worse, partial execution that locks capital.

Account Abstraction Reality Check:

  • AA transaction requires 3-5 RPC calls just to estimate gas and validate UserOperation
  • Another 2-3 calls to submit via bundler and track inclusion
  • Bundlers themselves are hitting RPC providers constantly

Steve’s “7 hours of downtime per month” with 99% uptime? For us, that’s not just lost users—it’s lost yield, failed liquidations, and potential protocol insolvency.

Real-World Incident: February RPC Outage

We had a 45-minute RPC provider outage on Feb 18, 2026 during high volatility:

Impact:

  • 12 liquidations we should have executed → missed
  • 3 yield rebalancing operations → timed out
  • Total opportunity cost: $47,000
  • User trust damage: 37 support tickets, 8% vault withdrawal spike

That single incident cost us more than 6 months of premium RPC fees.

Our Multi-Provider Failover Architecture

This is literally a business requirement now, not a nice-to-have. Our current stack:

Primary RPC: Chainstack dedicated endpoint

  • 99.99% SLA, regional routing (US-East for our users)
  • Flat-rate billing ($2,800/month for unlimited calls)
  • WebSocket support for real-time event streaming

Backup RPC: QuickNode

  • Different data centers (failover to EU if US-East fails)
  • Per-request billing as backup ($800/month average)
  • Archive node access for historical data queries

Emergency RPC: Self-hosted Erigon node

  • Runs on bare metal server ($400/month)
  • 98% uptime (our own DevOps team maintains it)
  • Last resort if both commercial providers fail

Automatic Failover Logic:
We use a simple provider waterfall pattern where each provider gets a 5-second timeout before trying the next one in the chain.

Monthly cost: ~$5K for RPC infrastructure. Our protocol earns $200K+ monthly from fees. Worth every penny.

The AWS Comparison Misses the Point

Here’s where I disagree with Steve’s optimism about the AWS parallel:

AWS use case: You need compute, storage, network → AWS provides it, you build on top

RPC provider use case: You need ACCESS TO ETHEREUM STATE, which is fundamentally public and decentralized → but we’re routing through 3-4 centralized gatekeepers

The difference matters because:

If AWS goes down: Your app is unavailable
If RPC providers go down: The blockchain is STILL RUNNING, you just can’t see it

It’s like having a bank vault full of gold but losing the key to the building. The gold is safe, the blockchain is processing blocks, but you’re locked out.

AI Agents Make This Worse

With autonomous AI agents executing on-chain, the RPC dependency becomes even more critical:

  • AI trading agents need real-time price feeds via RPC WebSocket streams
  • ERC-8004 agent identity standard requires constant RPC calls to verify agent reputation
  • Autonomous yield strategies execute rebalancing based on RPC data feeds

If an AI agent is managing $1M in user funds and the RPC feed goes stale, what does it do?

  • Option A: Stop trading → User loses yield opportunities
  • Option B: Keep trading on stale data → User loses money on bad trades

Neither is acceptable. 99.99% uptime is the only viable option.

The Real Risk: Centralization + Censorship

Brian mentioned this briefly, but it deserves more emphasis:

All major RPC providers now implement OFAC sanctions filtering:

  • Tornado Cash addresses → blocked
  • OFAC-sanctioned wallets → blocked
  • Some providers preemptively block “high-risk” contracts → without transparency

If 80% of dApps route through 3-4 providers who all implement the same blocklist, we’ve built programmable censorship into DeFi.

Last month, one of our test wallets got flagged (false positive) and transactions were rejected by RPC provider before even hitting the mempool. No on-chain record, no appeal process, just silent failure.

That’s the REAL AWS parallel: Infrastructure providers become policy enforcement points, just like AWS deplatforming Parler or payment processors blocking certain merchants.

What We Actually Need

Forget “did we rebuild AWS”—here’s what DeFi protocols actually need:

1. Reliability: 99.99% uptime is table stakes, not negotiable

2. Diversity: Can’t have 3 providers controlling 80% of access—need 10+ viable alternatives

3. Decentralized Options: Pocket Network, Lava, etc. need to reach production-grade performance

4. Light Client Infrastructure: So power users can verify data trustlessly while normal users use RPC

5. Transparency on Censorship: If providers filter transactions, they should publish rules and appeal processes

My Take

Is the current RPC situation ideal? Hell no.

Can we operate DeFi protocols without 99.99% RPC uptime? Also hell no.

Should we accept this as permanent? Absolutely not.

The solution isn’t to pretend we don’t need reliability. The solution is to demand reliable infrastructure from MULTIPLE providers and fund development of decentralized alternatives.

Our protocol contributes 2% of fees to Pocket Network and runs testnet nodes for Lava. When their performance matches Chainstack, we’ll migrate 50% of traffic. But until then, we can’t sacrifice our users’ funds for decentralization idealism.

@blockchain_brian curious about your zkEVM’s RPC failure handling—do you use different providers for state sync vs user transaction submission?

@startup_steve your phased approach makes sense for apps, but for DeFi protocols with TVL, we need Phase 2 infrastructure from Day 1. Different risk profiles.

—Diana

5

As a security researcher who tracks infrastructure vulnerabilities, I need to push back on the “pragmatic acceptance” narrative emerging in this thread. RPC provider consolidation represents a systemic risk that demands immediate technical solutions, not gradual evolution.

The Attack Surface Analysis

Let me quantify the actual risk we’re accepting:

Current RPC Provider Market Share (estimated based on public dApp integrations):

  • Alchemy: ~35%
  • Infura (ConsenSys): ~28%
  • QuickNode: ~15%
  • Chainstack: ~8%
  • GetBlock: ~6%
  • Other providers: ~8%

Translation: 78% of Web3 applications route through 3 companies.

This is not analogous to AWS. This is worse.

Historical Precedent: Infura Outage 2020

On November 11, 2020, Infura suffered a multi-hour outage that took down:

  • MetaMask (couldn’t query balances)
  • Major DEXs (Uniswap interface stopped working)
  • NFT marketplaces (OpenSea listings went dark)
  • Hundreds of dApps simultaneously

Critical insight: The blockchain kept running. Ethereum processed blocks normally. But from a user perspective, “Ethereum was down” because they couldn’t access it.

Now imagine that same scenario in 2026 with:

  • Account Abstraction wallets requiring 5 RPC calls per transaction
  • AI agents managing M+ in automated strategies
  • Flash loan protocols executing time-sensitive arbitrage
  • DeFi liquidation bots protecting B in collateral

A 4-hour Infura outage today would likely cause M+ in cascading liquidations and missed opportunities. That’s not theoretical—Diana just shared a K loss from 45 minutes of downtime.

The Censorship Risk Is Already Here

Diana mentioned OFAC filtering. Let me add technical details on how pervasive this has become:

What RPC providers can censor (and already do):

  1. Transaction submission: Block transactions from sanctioned addresses before they hit mempool
  2. Balance queries: Return zero balance for blacklisted addresses (breaking wallets)
  3. Contract interactions: Prevent calls to “high-risk” smart contracts (Tornado Cash, privacy mixers)
  4. Event logs: Filter event data to hide transactions from sanctioned addresses
  5. Historical data: Rewrite history by omitting blocks/transactions from archive node responses

This happens silently, with no on-chain trace.

If you submit a transaction through an RPC provider that filters it, there’s no failed transaction on-chain—it just never gets broadcast. From your perspective, the RPC “timed out.” From the provider’s perspective, they enforced compliance.

Regulatory Pressure Will Increase

Multiple jurisdictions are moving toward requiring RPC providers to implement filtering:

  • EU Markets in Crypto-Assets (MiCA): Defines infrastructure providers, may require KYC for API access
  • US OFAC compliance: Already enforced, expanding to more addresses monthly
  • SEC treating some tokens as securities: RPC providers may preemptively block contract interactions to avoid liability

If the top 3 providers control 78% of access and all implement identical filters due to regulatory pressure, we’ve built government-approved censorship into “decentralized” finance.

Brian’s point about Ethereum L1 remaining decentralized misses the enforcement layer. Sure, you CAN run your own node—but 99.9% of users won’t. If RPC gatekeepers block access, decentralization doesn’t matter in practice.

Solutions Exist But Require Immediate Investment

I’m not just complaining. Here are technically viable paths forward:

1. Light Clients (Production-Ready by Late 2026)

Helios, Portal Network enable users to verify chain state using only light client proofs, requiring minimal bandwidth/storage:

  • Download block headers (~100MB for full Ethereum history)
  • Verify Merkle proofs for specific state queries
  • Trust only consensus, not RPC provider data

Current status: Works for basic queries, struggles with complex historical data
Investment needed: UI/UX improvements, better developer tooling, wallet integration

Action: Every major wallet should integrate light client fallback by Q4 2026

2. Decentralized RPC Networks (Need Performance Parity)

Pocket Network, Lava Network, Koi Finance use incentivized node operators:

  • Geographic distribution reduces single-point failures
  • Economic incentives prevent censorship (providers lose staking rewards)
  • Multiple independent nodes must collude to filter transactions

Current status: ~300ms vs 50ms for centralized providers
Investment needed: Caching layers, better routing, infrastructure subsidies

Action: DeFi protocols should commit to migrating 20% of traffic to decentralized networks by mid-2026, accepting slightly higher latency for censorship resistance

3. Multi-Provider Verification

Don’t trust, verify. Even when using centralized RPC, validate critical data:

Cost: 3x RPC calls, minimal
Benefit: Detect censorship, data manipulation, stale responses

4. Local Node Infrastructure for High-Value Operations

For DeFi protocols managing M+ TVL, running your own nodes is not optional:

  • Erigon: 2TB storage, /month cloud hosting, 99.5% uptime achievable
  • Reth: New Rust client, lower resource requirements, improving fast
  • Archive nodes: Required for historical queries, /month hosting

Yes, this costs money. But as Diana noted, a single RPC outage during volatility can cost 10x annual node hosting fees.

5. Transparent Censorship Policies

If providers MUST filter due to regulation, demand:

  • Public blocklists with addresses and justification
  • Appeal processes for false positives
  • Notification when transaction is filtered (not silent failure)
  • Alternative routing suggestions for filtered transactions

This is minimum accountability for infrastructure controlling 78% of blockchain access.

The Real Risk: Complacency

Steve’s “we can’t wait for perfect decentralization” argument is dangerous because it normalizes the current situation.

What actually happens if we accept centralized RPC as permanent:

  1. Regulatory capture becomes easier (pressure 3 companies instead of decentralized network)
  2. Censorship expands incrementally (first Tornado Cash, then privacy wallets, then what?)
  3. Infrastructure providers gain pricing power (once locked in, they can raise fees)
  4. Innovation stagnates (why improve decentralized alternatives if centralized works “well enough”?)

My Position

Short-term (0-12 months):

  • Use centralized RPC for production, I understand the business necessity
  • Implement multi-provider failover (minimum 3 providers)
  • Run at least one self-hosted node for critical operations
  • Contribute funding to decentralized RPC networks

Medium-term (12-24 months):

  • Migrate 30-50% of traffic to decentralized RPC networks
  • Integrate light clients for balance checks and simple queries
  • Demand regulatory clarity on acceptable filtering vs overreach

Long-term (24+ months):

  • Light clients as default for consumer wallets
  • Decentralized RPC networks reach performance parity
  • Centralized providers compete on speed/features, not censorship

The Line We Cannot Cross

I’ll work with teams using Alchemy/Infura/QuickNode for 99.99% uptime—but I will not accept a future where those 3 companies control what transactions are allowed to exist.

The blockchain is still running. The nodes are still decentralized. But if access infrastructure implements censorship, we’ve recreated exactly what we tried to escape.

@data_engineer_mike your analytics on RPC reliability impact are valuable, but can you also track: what percentage of dApps have multi-provider failover? That’s the metric that matters for systemic risk.

@defi_diana respect your Feb 18 outage story—that’s exactly why I advocate for triple-provider setups. Curious: during that 45-minute window, did you attempt to broadcast transactions via alternative methods (direct node, block explorer APIs)?

—Sophia

Trust but verify, then verify again. :locked: