Tenderly

Tenderly is an all-in-one development platform for EVM-compatible blockchains, offering a unified suite for building, testing, monitoring, and analyzing smart contracts. Its core business revolves around three pillars: a Simulation API that lets developers preview transaction outcomes against real network states, Virtual Environments that fork live chains (like Mainnet) into private, controllable testnets, and a monitoring stack with alerts, debugging tools, and a transaction explorer. The platform's key strength is its ability to replicate production conditions—live oracle prices, real liquidity pools, and deployed protocol states—without the cost or risk of using mainnet. This addresses a major pain point: public testnets like Sepolia lack the depth and realism of mainnet, while local forks are isolated and hard to share. Tenderly solves this by giving teams a shared, production-fidelity environment that can be spun up per pull request, used for staging, or integrated into CI/CD pipelines. It also simplifies debugging with step-by-step transaction tracing, gas profiling, and admin RPC cheat codes for manipulating state, time, and balances. In the past six months (2026-02-28 to 2026-08-29), Tenderly has continued to expand its multichain support, now covering over 100 EVM networks, and has improved its Virtual Environments to allow multiple chains to be attached to a single environment for cross-chain testing. The platform has also enhanced its monitoring capabilities with more granular alerts and deeper integration with development workflows. However, users have noted that the platform's extensive feature set can be overwhelming for small teams, and some have reported occasional latency in the dashboard's transaction explorer. Additionally, while Tenderly offers a free tier, advanced features like private environments and higher API rate limits require a paid plan, which may be a barrier for individual developers. Overall, Tenderly remains a robust choice for teams that need production-grade testing and monitoring for EVM-based projects, though its complexity and pricing may not suit every use case.