Infura is where most teams start, and for good reason: it is reliable, well documented, and free to begin with. The trouble usually shows up later, at scale, when the same properties that made it easy start to constrain you. If you are reading this, you have probably already hit a 429 Too Many Requests, watched a compute-unit bill climb, or realized your whole app depends on a single provider. This post is an honest look at the alternatives in 2026, what to weigh when choosing one, and where each option actually fits.

Every Ethereum RPC call travels over a transport, and the transport you pick sets a floor on how fast that call can ever be. For a wallet showing a balance, the difference is invisible. For an arbitrage bot that reads a price and decides whether to act before the next block, it is the whole game. This post compares the three transports your node speaks, HTTP, WebSocket, and IPC, explains where their latency comes from, and gives you a benchmark you can run to see the gap on your own setup.

Building Real-Time Ethereum Event Notifications with BLAZED.sh

Applications that react to blockchain events in real-time need low-latency infrastructure, especially when dealing with event filters that return large datasets (liquidation monitors, DEX aggregators, cross-chain bridges).

In this tutorial, we’ll build a webhook service that monitors Ethereum events and sends notifications to configured URLs, using BLAZED.sh’s IPC socket access for minimal latency.

Understanding BLAZED.sh’s Architecture

BLAZED.sh is optimized for Ethereum applications that require consistent low latency and predictable costs. While many providers offer WebSocket connections, BLAZED.sh provides exclusive IPC socket access (at /tmp/sockets/rpc_proxy.sock), eliminating network overhead entirely. This architectural choice ensures the lowest possible latency between your application and the Ethereum node.

Unlocking the Blockchain: A Beginner’s Guide to Ethereum Nodes

Ethereum runs on a network of thousands of computers called nodes. These nodes store blockchain data, validate transactions, and let external software (wallets, dApps, bots) talk to the network. If you’ve ever wondered what’s actually running behind MetaMask or your favorite DeFi app, it’s nodes, and this post explains how they work.

What Is Ethereum and Why Does It Matter?

Ethereum is a decentralized platform for running smart contracts, programs that execute automatically based on coded rules, and decentralized applications (dApps) built on top of them. DeFi, NFTs, and most of the interesting stuff in crypto runs on Ethereum.

Welcome Back to Arbitrage Basics

In our previous post on triangular arbitrage, we covered 3-pair arbitrage. This time we’ll use graph theory to find arbitrage across any number of trading pairs.

By modeling pairs as a weighted directed graph, we can use Bellman-Ford to detect negative cycles, which correspond directly to profitable arbitrage loops.

Why Graph Theory for Arbitrage?

Traditional triangular arbitrage only checks predefined 3-token paths. But what if profitable opportunities exist across 4, 5, or even 10 different tokens? Manual enumeration becomes computationally expensive and misses complex paths.

Welcome to Arbitrage Basics

This blog post series covers the math, finance, and programming behind arbitrage trading. In this first post, we’ll walk through the basics and write a simple arbitrage script in JS. It won’t generate real profits, but understanding the fundamentals is key before building something that can.

The most basic kind of Arbitrage: Triangular Arbitrage

Triangular arbitrage exploits price discrepancies between three trading pairs to generate profits. Start with ETH, trade it for LINK, then LINK for SHIB, then SHIB back to ETH. If exchange rates are misaligned, you end up with more ETH than you started with. The profit comes from temporary price inefficiencies caused by large trades or slow arbitrage by other traders.