The combination of an Optimistic Rollups framework and the Cartesi Machine Emulator enables the development of smart contracts and DApps using any package or library that is available for Linux. This allows developers to break free from the scalability limitations of the Ethereum Virtual Machine (EVM), and brings the rise of a new blockchain era to handle real-life and complex use-cases.

A DApp running on Cartesi Rollups consists of the following main components:

  • Cartesi Rollups, a set of on-chain and off-chain components that implement an Optimistic Rollups solution and provide the general framework for building DApps.
  • Cartesi Machine, a virtual machine (VM) that runs an entire Linux OS, in which each DApp's back-end is executed.
  • DApp Back-end, the application's state and verifiable logic, which corresponds to the DApp's smart contract. The back-end runs inside the Cartesi Machine as a regular Linux application.
  • DApp Front-end, the application's user-facing interface, such as a web app.

The diagram below explains the overall architecture: img


You can run a simple DApp that we already built using Python

What is a blockchain rollup?

Rollups are blockchain scalability solutions that push complex computations "off-chain", meaning that they run on a separate computing environment (layer-2) outside of the main network (layer-1, such as the Ethereum network). When employing rollups, the blockchain's role becomes solely to receive transactions and log them. On rare occasions in which parties disagree with the outcomes of a computation, the blockchain also gets involved in resolving these disputes.

Offloading the blockchain from these complex computations, together with the aggregation and compression of data, is expected to increase the number of transactions that a blockchain can process by a factor of at least 40x. Additionally, these transactions can now involve much more complex logic since applications are allowed to perform virtually any amount of computation they want, and can also take advantage of more powerful virtual machines (VMs) running on layer-2.

How does a rollup work?

Users interact with a rollup through transactions on the base layer (layer-1). They send messages (inputs) to the rollup on-chain smart contracts to define a computation to be processed, and as such advance the state of the computing environment on layer-2. Interested parties run an off-chain component (a layer-2 node) that watches the blockchain for inputs, understanding and executing the state updates.

Once in a while, the state of the machine is checkpointed on-chain, at which point the state is considered to be finalized and can thus be accepted by any smart contract on layer-1. It is of course vital to ensure this operation is secure, meaning that the layer-2 node needs to somehow prove the new state to the base layer.

Let’s think about this question: "How does a blockchain system, such as Ethereum, know that the data posted by an off-chain layer-2 node is valid and was not submitted in a malicious way?"

The answer depends on the rollup implementation, which basically falls within one of two categories according to the type of proof used:

In validity proof schemes, every state update comes accompanied by a cryptographic proof, created off-chain, attesting its validity. The update is only accepted if the proof successfully passes verification on-chain. Zero-knowledge proofs are frequently used for this, which is why these types of rollups are usually referred to as ZK Rollups. Validity proofs bring the big benefit of instant finality — as soon as a state update appears on-chain, they can be fully trusted and acted upon. The choice, however, also brings less than ideal properties: generating ZK proofs for general-purpose computations is, when possible, immensely expensive and each on-chain state update must pay the extra gas fee from including and verifying a validity proof.

Fraud-proof schemes work by a different paradigm. State updates come unaccompanied by proofs, they’re proposed and, if not challenged, confirmed on-chain. Challenging a state update proposal is done by the use of fraud proofs, which can be divided into two categories: non-interactive fraud proofs and interactive fraud proofs. Non-interactive refers to the fact that the challengers can prove that a state update is invalid in one single step. With interactive fraud proofs, the claimer and challenger have to, mediated by the blockchain, partake in something similar to a verification game. The assumption that state updates will most likely be honest often gives solutions like this the name of Optimistic Rollups. Naturally, this optimism comes paired up with financial incentives for honest behavior and guarantees that, unless the proposed false state is undisputed for a significant amount of time, it will never get accepted.

Summary of a rollup solution
  • Executes transaction computations off-chain. This way the computations are not carried out by the base layer. Instead, they are executed in a separate computation environment and the rollup protocol ensures transaction validity via either validity proofs or fraud proofs.
  • Capable of compressing data from several transactions into a bundle to decrease both transaction costs and size, increasing overall efficiency.
  • Allows blockchains to scale while keeping the security guarantees of its consensus mechanism.

Cartesi Rollups

Cartesi’s version of Optimistic Rollups uses interactive fraud proofs. The model was chosen because it imposes a higher ceiling to the size of computations that can be executed. In other words, with this model the blockchain base layer is never responsible for executing entire computations: either there are no disputes and no computation takes place there, or, if a dispute occurs, it only needs to compute a single instruction to distinguish between misbehavior and honesty. In either case, the results themselves are always computed off-chain, and as a consequence the computation involved can be massive.

In the next sections, we will first describe Cartesi Rollups' internal components and how they work. Then, we will explain in detail the architecture of DApps that run on our rollups framework, as well as the APIs that developers can use to communicate with it. Finally, we share our vision of a step-by-step process for developing applications on Cartesi Rollups, from the initial design stage up to its final deployment.


You can read the article Everything you need to know about Optimistic Rollup to get more information about optimistic rollups in general.


You can read the article Fraud proofs and virtual machines or go into more details here

See Also