Implement Caching Layer in Web3 Products

Web caching refers to the process of saving data to be reused, for example, the copy of a web page served by a server.

It is stored or cached the first time a person visits the page. Then, the next time the user visits the identical page, the cache will be served to the copy to prevent the server that initially did it from becoming overwhelmed.

Web caching strategies and solutions increase the speed of delivery of pages and decrease the amount of work performed by the server behind it.

Caching servers are programmed to refresh at specified intervals or as a result of certain events to ensure that the latest content is cached (applicable to store constantly changing information, like breaking news or rapidly changing prices).

Caching can also guard against complete outages while delivering cached content, even when servers go down.

Why is caching important in web applications?

Many components combine to create a rich customer experience; Caching Layer in Web3 Products could be among the more vital elements. Caching has the following advantages of caching layer in web3:

1. Reduced latency

Fifty-one percent of shoppers who shop online in the US report that a long load time on their website is the most important reason for them not to make an order.

This time at which a page load is vital to providing an enjoyable digital experience. Caching can speed up loading time by serving information from a server close to the user, whether on a hard drive or a server nearby. This reduces the latency of the roundtrip by recovering content faster.

2. Content availability

Since users from all over the world visit the site for information, content accessibility is essential to the user experience. However, the site might not be able to load for various reasons, for instance, frequent interruptions in the network or intermittent outages on the website. In these instances, Caching saves the day by providing users with cached content.

3. Avoids network congestion

The web handles massive quantities of data throughout the day. Therefore, it is required to handle a lot of traffic. As a result, it is not uncommon for bandwidth to be congested. It is a problem on the major networks.

How to implement web3 caching?

Blockchain follower

It's nothing more than an API for processing blockchain-related data.

To sync blockchain data, we could develop a blockchain follower service using a listener technique of web3 to process every transaction made within the Blockchain network.

newBlocks = web3.eth.subscribe("newBlockHeaders") newBlocks.on("data", (blockHeader) => processBlockHeader(blockHeader, web3Instance));

This way, we'll receive information via the blockchain nodes. The data is provided in raw data and is arranged according to the blockchain structure. It is possible to process this data to transform it into a structured format which we can then save to the database. We can also do indexing on the data for quicker access.

Database

We've used PostgreSQL for this project, commonly referred to as Postgres, which is a free and open source relational system for managing databases that focus on the ability to expand and SQL conformance. The information that comes from blockchains can be saved in the database using proper structure to make it easy to query according to the requirements of web3 applications. Furthermore, features like indexing can make queries quicker.

A DB's structure DB could be as follows:

{ blockHash: txData.blockHash || "", blockNumber: txData.blockNumber || 0, hash: txData.hash.toLowerCase() || "", from: txData.from.toLowerCase() || "", to: txData.to || "", gas: txData.gas || "", gasPrice: String(txData.gasPrice) || "", gasUsed: receipt.gasUsed || 0, input: txData.input || "", nonce: txData.nonce || 0, transactionIndex: txData.transactionIndex || 0, value: txData.value || "", contractAddress: contractAddress || "", cumulativeGasUsed: cumulativeGasUsed || 0, logs: logs || [], status: status || false, timestamp: timestamp || 0, modifiedOn: Date.now(), createdOn: Date.now() }

In Memory Database

Since we are creating a caching layer, it has to be speedier. Additionally, in our web3 system, some things do not frequently change, which the client needs frequently; therefore, such data can be stored in an in-memory database.

Socket Connections

Socket Connections can be described as an event-driven library that can be used to create real-time web-based applications. It allows bidirectional communication between web-based clients and servers on a live basis. This is used to send information from the blockchain immediately to the client and deliver the latest updates through the blockchain to the client. This means that users also feel that they are viewing live data directly from the blockchain .

B2B APIs

In addition to graphQL APIs, web3 caching may offer a handful of B2B APIs that could be defined publicly in the context of the particular work, which is different from graphQL. The APIs will be defined, i.e., they won't be able to access data directly through the databases. Instead, the business logic will be according to the requirements for API endpoints. API endpoint.

Final Words

Simply put, web caching improves your website's speed without impacting anything else in the process. It also increases load speed and reduces your website's server burden.

We hope that the previous explanations have given you enough information about the importance of caching and the advantages of its implementation on the hosting servers you use. However, if you're unsure about the best-caching method, feel free to contact PerfectionGeeks for more information about Web Hosting Services and Caching and how they can improve your site's performance!