Designing a high-performance, cost-efficient blockchain involves reducing resource waste across the architecture. The three common design principles include:

Layered Design: Allowing execution, consensus, and data availability to each perform their own functions.
Elastic Scaling: Dynamically allocate resources to avoid network overload and improve performance.
Shared Security: Leverage the security of a main chain or validation layer, reducing the cost of maintaining independent validator networks.

Together, these principles form the basic framework of an “efficient blockchain”.

Layer 1 + Layer 2 Combination Strategy

In today’s ecosystem, it is difficult for a single Layer 1 to simultaneously deliver decentralization, security, and high performance. As a result, projects increasingly adopt a Layer 1 + Layer 2 hybrid strategy:

Layer 1: Maintains decentralization and security (e.g., Ethereum, GateChain)
Layer 2: Focuses on high performance and cost optimization (e.g., Rollup, Validium, Optimium)

The ideal approach is to use Layer 1 as a settlement and security layer, while Layer 2 handles transaction and execution tasks. This combination allows applications to enjoy both the security of the main network and efficiency close to centralized systems.

Data Sharding and Rollup-as-a-Service Model

Data Sharding splits data storage across multiple nodes, reducing the load on single nodes and improving parallel processing capability. With the rise of the Rollup-as-a-Service (RaaS) model, developers no longer need to build infrastructure from scratch, but can quickly launch their own chain using pre-built modules. Current market platforms such as {AltLayer}, {Conduit}, {Caldera}, {Gate Layer}, etc., all provide RaaS services, allowing teams to focus on application logic rather than underlying maintenance. This not only lowers the entry barrier but also makes “multi-chain applications” possible.

Cost Optimization in Practice

True low-cost strategies are not just in architectural design, but more in execution details. Here are some practical approaches:

Gas optimization methods: Use lighter functions, reduce loops, batch execute transactions.
Smart contract compression techniques: Write modular code, merge duplicate logic, reduce external calls.
Transaction batching and fee reuse: Bundle multiple transactions for upload to the DA layer, sharing validation costs.

These techniques, combined with modular design, can significantly reduce on-chain operating costs while maintaining performance.

Choosing the Right Tech Stack

The choice of tech stack determines subsequent maintenance costs and development efficiency.

Key considerations when selecting a tech stack include:

EVM compatibility: Compatibility with the Ethereum ecosystem can significantly reduce development and migration costs.
Simplified modular Rollups: More and more platforms (like {Gate Layer}, {Celestia}) offer one-click deployment solutions, eliminating the need for teams to handle consensus and validation logic themselves.
Cross-chain interoperability: Ensure long-term expansion potential through standardized communication protocols (such as IBC, OP Stack).

Case Study: {Gate Layer}’s Efficient Design

{Gate Layer} is a modular Layer 2 solution launched by the Gate ecosystem, with its design core focusing on “efficiency + shared security”.

It achieves this through:

Unified Verification Layer: Allowing all Rollups to share security and validation logic.
Shared Security: Inheriting GateChain’s security mechanism, reducing individual staking costs.
Optimized DA and cross-chain transfer: Achieving fast data confirmation and asset circulation.

The results are: