Why Your dApp Frontend is Lagging (and How to Fix RPC Bottlenecks)

If you've noticed that your decentralized application (dApp) frontend isn't performing as smoothly as you'd like, you're not alone. A lot of developers encounter issues related to Remote Procedure Call (RPC) bottlenecks that can slow down your app and frustrate users. But don’t worry! Let’s dive into what’s going on and how you can effectively tackle these issues.

Understanding RPC Bottlenecks

RPC is basically how your dApp talks to the blockchain. When you make a call--say to get some data or send a transaction--your app communicates with an RPC endpoint. If that endpoint is slow or not responding properly, your app's frontend can lag, leading to a pretty poor user experience.

Here are a few common culprits behind these bottlenecks:

High Latency: Some RPC providers may not have the infrastructure to handle high traffic or are simply located far from your users.
Rate Limits: Many public RPC services impose limits on how many requests can be made in a certain timeframe. If you exceed that limit, you’ll get throttled.
Network Congestion: Just like rush hour traffic, sometimes the blockchain gets busy, and calls can take longer than usual to process.

How to Fix RPC Bottlenecks

Now, let’s talk solutions. Here are a few strategies to help you improve your dApp’s performance:

1. Choose the Right RPC Provider

Not all RPC providers are created equal. Take the time to research and pick one that suits your needs. Some popular options include:

Infura: A reliable choice with a solid reputation.
Alchemy: Offers great tools and analytics.
QuickNode: Known for speed and reliability.
Moralis: Good for beginners with its easy-to-use features.

2. Implement Caching

Caching can save you from making repetitive RPC calls. By storing previously fetched data, you can significantly reduce the number of requests your app makes. You can use local storage or a caching library like React Query to manage your data more efficiently.

3. Batch Requests

If your dApp is making multiple calls in a row, consider batching them together. Instead of hitting the RPC endpoint several times for related data, combine those requests into a single batch call. This can drastically cut down on the number of requests and reduce latency.

4. Optimize Your Code

Review your dApp’s code for any inefficiencies. Look for unnecessary calls or places where you can streamline your logic. Using tools like Lighthouse can help identify areas where you can improve performance.

5. Monitor Performance

Keep an eye on how your app and its RPC calls are performing. Tools such as Grafana or DataDog can help you visualize and monitor your RPC metrics, so you know when something's off.

Conclusion

By understanding and addressing RPC bottlenecks, you can significantly enhance your dApp's frontend performance. Experiment with different strategies, and be sure to monitor your app's performance regularly. With a little effort, your users will enjoy a smoother and faster experience. Happy coding!

the specific, technical headache you’re actually feeling

When you're dealing with a headache, it's not just any old ache. It's a specific brand of discomfort that can really put a damper on your day. Understanding what's going on might help you tackle it better.

What kind of headache are you experiencing?

Headaches come in different flavors, and knowing which one you're dealing with can make a huge difference. Here are a few common types:

Tension Headaches: The classic culprit, often linked to stress or poor posture. You might feel like a tight band is squeezing your head.
Migraine: These can be a real pain--literally. They often come with throbbing pain, and might be accompanied by nausea or sensitivity to light and sound.
Cluster Headaches: These are intense and come in cycles. You might feel sharp pain around one eye, and they can be really disruptive.
Sinus Headaches: If you're feeling pressure in your forehead, cheeks, and around your eyes, it could be your sinuses acting up.

What to do about it?

Here are some strategies you can try to ease your headache:

Stay Hydrated: Sometimes, headaches pop up when you're not drinking enough water. So, grab a glass and hydrate!
Over-the-Counter Pain Relief: Medications like ibuprofen or acetaminophen can be lifesavers when you need quick relief.
Rest in a Dark Room: If light or noise makes your headache worse, try lying down in a quiet, dark space for a bit.
Complications to Watch For: If your headaches are severe, sudden, or come with other symptoms like vision changes or difficulty speaking, don't hesitate to reach out to a medical professional. Better safe than sorry!
Keep a Headache Diary: Track when your headaches happen, how long they last, and what might have triggered them. This can help you spot patterns and find out what works for you.

Headaches aren't just annoying--they can really get in the way of your daily life. But with a little knowledge and some self-care strategies, you can take control and find the relief you need.

Your dApp tends to “hang” every time users access the Portfolio or “History” tabs. Behind the scenes, those wide-ranging eth_getLogs scans and unbounded payloads are timing out or hitting caps set by providers. For instance, Alchemy limits responses to around 10k logs or imposes strict range/size thresholds--like 2k block windows and a 150MB limit on responses--which a lot of frontends end up unintentionally breaching. (alchemy.com)
When it comes to gas widgets and “estimated fees,” things can get pretty inconsistent across different providers and reorg windows, mainly because reads aren’t tied to blocks. You’re making calls with eth_call/eth_getBalance using “latest” and trying to keep up with the head while the UI is processing, so users might notice flickering or mismatches after a new head. EIP-1898 was introduced to tackle this by allowing you to pin reads to a specific blockHash. (eips.ethereum.org)
We've all seen how RPCs tend to spike and then flatline during mints or airdrops. That’s when Infura/MetaMask’s credit-based throttling comes into play, leading to 402/429 errors. Some of the heavier methods like eth_getLogs, trace/debug, and sendRawTransaction can burn through your per-second credits pretty quickly and cause those WebSocket connections to drop. (support.infura.io)
Sometimes, batching “fixes” can end up making things worse. Providers have different limits and reliability guidelines--like Alchemy, which allows up to 1000 requests in an HTTP batch but recommends keeping it under 50 for stability. Plus, there are separate constraints and edge cases when it comes to WebSockets. Many dApps just batch everything without a second thought and end up dealing with retries, high tail latency, or confusing partial failures. (alchemy.com)
Fallbacks can often be misconfigured. Developers will set up ethers.js or viem fallback transports without considering per-method hedging, stall timeouts, or tuning for quorum, meaning a single slow provider can drag down performance. While Ethers v6/viem do offer helpful primitives, you’ve got to think carefully about how to configure them given the diversity of RPCs out there. (docs.ethers.org)
Heavy methods running directly in the browser can be a real headache. Things like trace/debug calls, scanning large receipts, and pulling block-wide data should steer clear of hitting RPCs from user agents; these calls can be costly, introduce high latency, and are often subject to provider-specific limits. Even providers label these as “heavy calls” that need pagination, compression, and rate controls. (docs.speedynodes.com)
And don’t be surprised by client differences! If your main upstream is on a different execution client than your fallback, the behavior of eth_getLogs, the ordering of logs, and even non-standard helpers like eth_getBlockReceipts can vary by client/provider. Erigon and Geth have evolved, now widely supporting eth_getBlockReceipts, but it’s crucial to know which client is serving what. (alchemy.com)

What These Issues Risk for DeFi Teams

In the world of decentralized finance (DeFi), there’s a lot happening, and sometimes it can get a bit chaotic. The rapid changes and challenges we face can really stir things up for DeFi teams. Let's dive into what kinds of issues can create agitation and the risks they pose.

Common Issues Causing Agitation

Regulatory Changes
As governments around the globe start to take a closer look at cryptocurrencies and DeFi, new regulations keep popping up. This can make it tough for teams to navigate the landscape, as they need to stay compliant while pushing innovation.
Security Concerns
With hacks and exploits making headlines all too often, security is a top priority for DeFi projects. If a team doesn’t have robust security measures in place, they risk not just their funds, but also their reputation.
Market Volatility
The crypto market can be a wild ride! Sudden price swings can create panic, impacting the strategies and operations of DeFi teams. Keeping a steady course during these turbulent times is crucial.
User Education
Many potential users still have misconceptions about DeFi. If teams don’t invest effort into educating their audience, they risk losing out on a broader user base.
Technical Challenges
Building on DeFi platforms often involves complex tech. Teams may face bugs or scalability issues that slow down development, causing frustration and potential setbacks.

Strategies to Mitigate Risks

To keep these issues from sending their projects into a tailspin, DeFi teams can try a few strategies:

Stay Updated on Regulations
Subscribe to industry news and join discussions to keep tabs on regulatory developments that might affect your work.
Enhance Security Protocols
Invest in third-party audits and security measures to protect against vulnerabilities.
Be Transparent During Market Fluctuations
Communicate openly with users about the state of the project, especially during volatile market conditions.
Empower Users with Knowledge
Create resources like guides, webinars, or FAQs to help users understand DeFi better.
Adopt Agile Development Practices
Embrace flexibility in development processes to quickly adapt to technical challenges as they arise.

Conclusion

Agitation in the DeFi space is a reality that teams must face, but it doesn’t have to spell disaster. By being proactive and focusing on education, security, and adaptability, DeFi teams can turn potential risks into opportunities for growth. Keep pushing forward, and remember that every challenge can lead to new insights and innovations!

Missed revenue windows during volatility. When gas prices spike, your app bombs the eth_feeHistory/eth_maxPriorityFeePerGas endpoints and gets throttled. This leads users to ditch their swaps when they see “Estimating…” hanging for more than 3 seconds. It’d be way better if fee estimation leaned on EIP-1559 techniques (you know, feeHistory and priority fee sampling), but basic polling just cranks up the load. (docs.base.org)
Unreliable state = wrong decisions. Without block-bound reads (thanks, EIP-1898), running sequential eth_call/eth_getStorageAt can straddle two heads. Users might find stale balances or get hit with “insufficient funds” right after a new block drops. This leads to more support tickets and takes a toll on trust metrics. (eips.ethereum.org)
Provider bills that don’t match value. With credit-weighted pricing, a single eth_sendRawTransaction or a broad eth_getLogs query can rack up hundreds of “credits.” Teams end up overspending on tasks that really shouldn't be handled in the browser, while cheaper queries get left under-cached. (support.infura.io)
Fragile fallbacks. If quorum and stall timeouts aren’t tuned just right, the fallback layer either ends up taking slow responses (which drags p95 over 2 seconds) or goes too hard, racing to meet provider RPM/RPS limits and getting hit with 429 errors right in the middle of a launch. (docs.ethers.org)
Missed deadlines. Relying on public RPCs or just one provider during your QA cycles can lead to edge-case failures sneaking into production. Under pressure, the claims module times out, wallets get disconnected, and suddenly you’re losing a day of go-to-market momentum.

How 7Block Labs Tackles RPC Bottlenecks (and Protects Your ROI)

When it comes to optimizing your blockchain experience, 7Block Labs has developed a solid strategy to tackle RPC bottlenecks head-on. Let’s break down how they do it and how it can safeguard your return on investment (ROI).

The Challenge of RPC Bottlenecks

RPC (Remote Procedure Call) bottlenecks can seriously slow down your application. These slowdowns can stem from various factors, like network congestion, server performance issues, or even inefficient code. If you're not careful, these hiccups can eat away at your precious ROI.

7Block Labs' Approach

Here’s how 7Block Labs tackles these pesky bottlenecks:

Load Balancing: They distribute traffic evenly across multiple servers to ensure no single server gets overwhelmed. This way, your requests are handled smoothly and efficiently.
Caching Strategies: By implementing smart caching, they reduce the need for repeated requests to the server. This speeds things up and makes your app more responsive, which is always a win.
Optimized Infrastructure: Utilizing high-performance servers and cutting-edge technology helps minimize latency and maximize throughput. This means faster transactions and happier users.
Monitoring & Analytics: 7Block Labs keeps a close eye on system performance with real-time monitoring. They analyze data to spot trends and potential issues before they escalate, allowing for quick fixes.
Custom Solutions: Every project is unique. That's why 7Block Labs tailors their solutions to fit your specific needs, ensuring you get the most out of your investment.

Why It Matters

By addressing RPC bottlenecks, 7Block Labs doesn’t just enhance performance--they help protect your ROI. A smoother, faster application means happier users, fewer complaints, and ultimately, better returns.

With their comprehensive approach, they're not just fixing problems; they're setting you up for long-term success in the blockchain space. For more details, you can check out their methodology here.

We connect the intricate details of Solidity with the practical needs of front-end development through a solid, testable plan designed specifically for DeFi applications like DEX, lending, staking, and vaults. Our aim? To reduce your p95 RPC latency, decrease error rates, and minimize your credit costs--all while keeping your data intact and optimizing for Gas.

Instrumentation-first: Make sure to measure the right stuff for each method.

Track the latency and error budgets for each method: eth_getLogs, eth_call, eth_feeHistory, eth_sendRawTransaction, eth_getBlockReceipts, and debug/trace. Make sure to tag each one with block span, payload size, and the provider. If possible, use the provider request logs to identify those pesky 402/429 thresholds and any troublesome queries. Check out the details here.
Set some user-facing Service Level Objectives (SLOs) like “under 1.5 seconds for Portfolio load,” “less than 2% RPC retry rate during peak traffic,” and “max 0.5 seconds for gas quote at p95.” Make sure to link any SLO breaches back to the specific provider and method.

2) Front-end fixes you can ship this sprint

Got some time to spare this sprint? Here are a few front-end fixes that can make a big difference and are easy to roll out:

1. Improve Accessibility

Alt Text for Images: Make sure every image has a clear and descriptive alt text. This helps screen readers provide context to visually impaired users.
Keyboard Navigation: Check that all interactive elements can be accessed using a keyboard. This is crucial for users who can’t use a mouse.

2. CSS Cleanup

Remove Unused CSS: Go through your stylesheets and eliminate any CSS that’s not being used. This can help reduce file size and improve load times.
Consistent Spacing: Review margins and paddings to ensure they’re consistent throughout the site. A little uniformity goes a long way in creating a polished look.

3. Browser Compatibility

Run Cross-Browser Tests: Take a moment to test your site across different browsers (Chrome, Firefox, Safari, etc.). Fix any glaring issues you see, like layout shifts or broken elements.
Polyfills for Features: If you’re using newer features that some browsers don’t support, consider adding polyfills to maintain functionality.

4. Update Dependencies

Check Package Versions: Make sure your front-end libraries (like React, Vue, etc.) are up to date. This can help with performance and security.
Audit Third-Party Scripts: Look over any third-party scripts you’re using and update them if necessary. Ensure they’re still reputable and performing well.

5. Enhance User Experience

Loading Spinners: If any of your content takes a little while to load, consider adding loading spinners or skeleton screens. This keeps users engaged while they wait.
Error Messages: Review your error messages. Make sure they're clear and user-friendly, so if something goes wrong, users know what to do next.

6. Small UI Tweaks

Button States: Double-check your button hover and active states. Make sure they provide feedback, so users know when they’re interacting with them.
Font Sizes: Ensure your text is readable across devices. Sometimes a little increase in font size can make a big difference in usability.

With these changes, you’ll be well on your way to a smoother, more accessible front-end experience. Happy coding!

Block-bound reads all around. Swap out “latest” for EIP-1898 block identifiers when you’re reading balances, storage, or doing eth_call. It’s pretty straightforward: grab the head, subscribe to newHeads, and read with the last known blockHash. This way, you only update the UI state when there’s a new head. No flickering screens or mismatched states. (eips.ethereum.org)
Smarter batching is key (don’t go overboard). In viem, just turn on batch:true but keep a short wait window. Also, make sure your batch size stays under 50 and avoid mixing methods too much to dodge any head-of-line issues. Keep in mind the provider caps, and steer clear of WebSocket batching for those request/response paths. (viem.sh)
Choose the right transport for the job. Stick to WebSockets only for subscriptions like newHeads and logs. For request/response RPC, HTTP is the way to go--lower tail latency and easier error handling, just like the providers suggest. (alchemy.com)
Compress everything you can. Turn on gzip/Brotli and keep your response sizes under 10MB, especially for logs and traces. This small change can really speed things up, cutting down seconds on sluggish paths in actual traffic. (alchemy.com)

3) RPC Topology That Can Handle Mainnet Traffic

When it comes to managing RPC (Remote Procedure Call) traffic on the mainnet, it’s crucial to have a solid topology that won’t crumble under pressure. Here are some key elements to consider for building a resilient setup:

1. Load Balancing

Distributing the incoming traffic efficiently is key. Make sure to set up load balancers that can route requests across multiple nodes. This helps prevent any single node from becoming a bottleneck.

2. Redundancy

Don't put all your eggs in one basket! Use multiple RPC endpoints to ensure that if one goes down, others can pick up the slack. This redundancy helps in maintaining availability and reliability.

3. Caching

Implement caching strategies to minimize the number of repeated requests hitting your nodes. By caching frequently accessed data, you not only speed things up but also reduce the load on your servers.

4. Monitoring and Alerts

Stay on top of your infrastructure with monitoring tools that can send alerts for any unusual activity or performance issues. This proactive approach allows you to quickly address problems before they escalate.

5. Scalability

Design your architecture with growth in mind. As usage increases, ensure that you can easily scale up your nodes and infrastructure to handle the additional load without a hitch.

Example RPC Architecture

Here's a simplified view of what a well-structured RPC architecture might look like:

          +-----------------+
          |   Load Balancer  |
          +-----------------+
                /     \
               /       \
         +-------+   +-------+
         | Node 1 |   | Node 2 |
         +-------+   +-------+

By considering these elements, your RPC topology can effectively handle the traffic of the mainnet, keeping your applications running smoothly even during peak times. For more insights, you can check out some resources on developer best practices or scalability techniques. Happy building!

Fallback providers with hedging. You can set up ethers v6 FallbackProvider or viem's fallback transport like this:
- Use per-method stallTimeouts (think around 300-500ms for head requests and 1000-1500ms for historical data).
- Implement a weighted quorum--like preferring the provider with the fastest p95 for eth_getLogs, and choosing a different one for eth_sendRawTransaction.
- Method affinity is key: send heavy logs and trace requests to the infrastructure that’s best suited for them, while keeping sendRaw on providers that handle propagation better. Check out the details here.
Rate-limit by method at the edge. Make sure to set clear RPM/RPS caps on your heavier methods (like eth_getLogs and debug/trace). You can manage this through provider consoles or gateway middleware--QuickNode and some others even let you access per-method limits programmatically. This is super helpful to avoid any spikes from crashing your entire API. More info can be found here.
Diversify clients under the hood. Mixing Geth and Erigon-backed providers can really help you dodge correlated failures and tap into faster functions (for instance, using eth_getBlockReceipts to condense multiple receipt calls into one). Erigon's latest versions have worked on reducing storage needs and have added more complex simulation/state override capabilities, but keep in mind that their behavior can differ--definitely put it to the test! You can read more about it here.

4) Cut Down on Wide eth_getLogs in the Browser

If you're looking to streamline things in your app, one effective way is to eliminate those broad eth_getLogs calls in the browser. Here’s how you can do it:

Be Specific with Your Filters
Instead of pulling in a ton of data, narrow it down by specifying your filters. This makes your requests lighter and faster.
Batch Requests
If you have multiple filters to apply, consider batching your requests. This means you can send a single request that covers various filters instead of multiple separate ones.
Use Pagination
Implement pagination for large datasets. This way, you can load data in smaller chunks rather than overwhelming the browser with huge logs all at once.
Cache Results
Try caching the logs that you're pulling. If you know certain logs won’t change frequently, you can save bandwidth and speed up retrieval times.

By following these steps, you'll not only improve performance but also make the user experience much smoother. Happy coding!

Aggressively chunk ranges and cache them by block. It’s a good idea to keep log windows within a few thousand blocks and cache the results based on address+topics+blockRange. Remember, many providers tend to limit logs per response and they usually recommend sticking to strict pagination. (alchemy.com)
Shift scans to the server side. You can set up a lightweight indexer or tap into block-level receipts to fuel “recent activity”:
- Use eth_getBlockReceipts to map events instead of hitting eth_getTransactionReceipt multiple times.
- Store this info in Redis, keyed by blockHash, so you can invalidate it during reorgs.
- Only send finalized pages to the browser. (alchemy.com)
If you’re after subgraph-like queries, it’s better to use an indexer instead of stressing out the RPC. The Graph or Subsquid do the job just fine, or we can create a specialized Postgres index to handle chain reorgs.

5) Correct Fee Estimation under EIP-1559 (No “Gas Roulette”)

With the introduction of EIP-1559, estimating transaction fees has become a bit more straightforward, which is great news for all of us! Gone are the days of playing “gas roulette” where you’d throw in a random gas price and hope for the best. Instead, EIP-1559 uses a system that can help you get a clearer picture of what you might actually need to pay. Here’s how it works:

Base Fee: This is the minimum fee required for a transaction to be included in a block. It adjusts based on the network demand, so it can go up or down.
Tip: If you want your transaction to be prioritized, you can add a tip on top of the base fee. This goes to the miner who processes your transaction.
Fee Estimation: Most wallets now offer tools that estimate the base fee and recommended tip based on current network conditions.

To dive deeper into the technical details, here’s a handy snippet of code you might find useful for fetching the current base fee:

const ethers = require('ethers');

async function getBaseFee() {
    const provider = new ethers.providers.JsonRpcProvider('YOUR_RPC_URL_HERE');
    const gasData = await provider.getFeeData();
    console.log("Current Base Fee: ", gasData.lastBlockBaseFee);
}

getBaseFee();

With this setup, you'll be equipped to handle fees like a pro and avoid those last-minute gas surprises! For more in-depth reading, check out the EIP-1559 documentation. It’s a great resource for understanding all the changes. Happy transacting!

Swap out the gasPrice polling for something a bit more modern: let’s use feeHistory-based estimation and percentile sampling.
- Pull recent blocks’ baseFeePerGas and check out the priority fee percentiles.
- For maxFeePerGas, go with this formula: maxFeePerGas = baseFeeNext * 2 + tip, and make that tip adaptive based on the pXX rewards. If your provider has specific endpoints, definitely use those, but be careful not to overdo it. (docs.base.org)
Instead of constant polling, let’s cache quotes based on the head and invalidate them when there are newHeads. This will really help cut down on the RPC chatter and keep the UI nice and stable.

6) Procurement: Stop Paying for Work the Browser Shouldn’t Do

It’s time to rethink how we approach procurement. Many of us are shelling out cash for tasks that our browsers are perfectly capable of handling. Here’s how you can cut those costs and streamline your processes.

Identify Browser Capabilities

First off, take a little time to figure out what tasks your browser can actually do for you. Modern browsers come with a ton of built-in features that can save you time and money. Here are a few examples:

Form Auto-fill: Stop wasting time on repetitive data entry. Most browsers can remember your details and auto-fill forms in a snap.
Bookmarking Tools: Use bookmarks to keep track of important sites instead of spending on project management software.
Extensions: Find browser extensions that can automate tasks or improve your workflow without needing extra tools or platforms.

Evaluate Your Current Tools

Next, take an honest look at what tools you’re currently using. Are they actually adding value, or are they just inflating your budget? Make a list of all the tools and services you pay for, and check if they overlap with your browser’s capabilities.

Streamline Processes

Once you’ve identified the redundant tools, it’s time to streamline. Here are a few steps you can take:

Consolidate Tools: If a single browser extension can do the work of multiple apps, consolidate! This cuts down costs and simplifies your workflow.
Focus on Essential Features: Only pay for what you truly need. If you’re not using all the features of a software, think about downgrading or switching to a more budget-friendly option.
Train Your Team: Make sure everyone on your team knows how to leverage the browser’s features effectively. A little training can go a long way in maximizing efficiency.

Keep Costs Down

Finally, remember that saving money is all about smart choices. Be proactive about keeping your procurement process lean. Regularly review your subscriptions and expenses, and don’t hesitate to pull the plug on tools that just aren’t worth it.

By taking these steps, you can save both time and money, all while making the most out of your browser’s capabilities. So, let’s stop spending on tasks that our browsers can handle and put that money to better use!

Be smart about your map provider pricing and how it matches up with your call mix. Infura really weighs its credits heavily on eth_getLogs (around 255 credits) and eth_sendRawTransaction (about 720 credits) compared to reads. If you're hitting wide scans through the front-end, you’re gonna blow through your daily quota or throughput limits in no time. So, try moving those scans to your backend or indexer and make sure you pick the right plan tiers. (support.infura.io)
Don’t forget to set some hard limits. You can use method-level caps and edge quotas to keep potential incidents in check. QuickNode has a Console API that allows for some programmatic governance; consider applying different requests per second (RPS) for the “risky” methods when you’re launching. (quicknode.com)

7) Operational Guardrails (So the Fixes Stick)

To make sure your changes really take hold, setting up some solid operational guardrails is key. Here’s how you can do it:

Clear Expectations: Make sure everyone knows what’s expected of them. That means laying out the goals, the steps to get there, and the role each person plays in the process.
Regular Check-ins: Schedule regular check-ins to track progress. Whether it’s weekly or bi-weekly, this helps keep everyone accountable and makes it easier to address any hiccups along the way.
Feedback Loops: Create channels for feedback where team members can share their insights or concerns. This could be through informal chats, surveys, or dedicated meetings. It’s a great way to gather input and make adjustments as needed.
Documentation: Keep everything documented. Whether it’s decisions made, processes followed, or lessons learned, having a record helps everyone stay aligned and serves as a reference for future projects.
Celebrate Wins: Don’t forget to celebrate milestones and accomplishments, no matter how small. Recognizing progress boosts morale and reinforces the importance of sticking to the new processes.

By implementing these operational guardrails, you can help ensure that your fixes stick and create a culture of continuous improvement.

We’ve got error budgets linked to GTM. For instance, “If 429s go above 0.5% for 10 minutes while minting, we’ll turn off front-end history queries and stick with cached snapshots until we’re back within the limits.”
We’re using canary releases for any changes in RPC topology; we’ll set up A/B testing for providers and track p95 and failure rates for each method.
Let's implement synthetic probes for eth_call/eth_getLogs across different providers and regions to detect any regressions before our users even notice them.

Viem Client with Block-Bound Reads, Bounded Batching, and Fallback Hedging

When working with the Viem client in your blockchain applications, it’s all about optimizing performance and efficiency. Here’s a breakdown of how you can leverage block-bound reads, bounded batching, and fallback hedging to enhance your experience.

Block-Bound Reads

Block-bound reads let you fetch data from a specific block, which can be super helpful when you need consistent and reliable information. Instead of chasing after the most recent data, you pull exactly what you need from a specific block number. This approach can save you from running into issues with stale data.

How to Use Block-Bound Reads

Here’s a quick example of how you can implement block-bound reads:

const blockNumber = 123456; // use your desired block number
const data = await viemClient.getData({
  block: blockNumber,
});
console.log(data);

Bounded Batching

Bounded batching is fantastic for improving performance when you're dealing with multiple requests. Instead of sending each request one at a time, you can bundle them up and send them in one go, which reduces the number of calls made to the blockchain. This not only speeds things up but can also help with managing costs, especially if you're dealing with paid queries.

Implementing Bounded Batching

You can easily implement bounded batching like this:

const requests = [
  { method: 'getData', params: [1] },
  { method: 'getData', params: [2] },
  { method: 'getData', params: [3] },
];

const results = await viemClient.batch(requests);
console.log(results);

Fallback Hedging

Fallback hedging is your safety net. Sometimes things don’t go as planned, and your request might fail or time out. With fallback hedging, you can specify alternative actions to take if your primary request doesn’t work out. This way, you can maintain a smooth experience for users without hitting roadblocks.

Setting Up Fallback Hedging

Here's a simple example of how to implement fallback hedging:

async function fetchData() {
  try {
    const data = await viemClient.getData();
    return data;
  } catch (error) {
    console.warn('Primary request failed, falling back to cached data.');
    return getCachedData(); // your fallback function
  }
}

Conclusion

By combining block-bound reads, bounded batching, and fallback hedging, you can create a more robust and efficient system using the Viem client. These techniques not only enhance performance but also improve reliability, ensuring that your application runs smoothly even when things go south. So, give them a try and see how they can work for you!

import { createPublicClient, http, webSocket, fallback } from 'viem'
import { mainnet } from 'viem/chains'

// Primary fast read provider + a logs-optimized secondary
const fastRead = http('https://eth-mainnet.g.alchemy.com/v2/KEY', { batch: { wait: 10, batchSize: 32 } })
const logsHeavy = http('https://example.quiknode.pro/KEY', { batch: { wait: 15, batchSize: 24 } })

const client = createPublicClient({
  chain: mainnet,
  transport: fallback([
    { transport: fastRead, stallTimeout: 400, retryCount: 1 },   // head reads
    { transport: logsHeavy, stallTimeout: 800, retryCount: 1 },  // logs & historical
  ])
})

// Subscribe to heads, then read using EIP-1898 block-bound params
const ws = webSocket('wss://eth-mainnet.g.alchemy.com/v2/KEY')
const subClient = createPublicClient({ chain: mainnet, transport: ws })

let latest
subClient.watchBlocks({
  onBlock: async (block) => { latest = block },
})

export async function safeCall(address, data) {
  const block = latest ?? await client.getBlock() // cold start
  return client.call({
    to: address,
    data,
    blockTag: { blockHash: block.hash } // EIP-1898 to avoid cross-head inconsistencies
  })
}

We've got batching turned on, but it's intentionally kept small and time-limited to avoid any head-of-line blocking. Just a heads up, viem advises against using unauthenticated or public RPCs, so always stick to authenticated endpoints. Check it out here: (viem.sh).
To keep things consistent, reads pinned by blockHash help prevent any wonky multi-call sequences when new heads come in. Get the details here: (eips.ethereum.org).
We’re strictly using WebSockets for subscriptions, steering clear of request/response RPCs--this is in line with what the providers recommend. More info can be found here: (alchemy.com).

Server-side Log Pagination with Receipts Collapse

When it comes to managing log data, especially when you're dealing with a large volume of entries, server-side pagination can be a lifesaver. This approach allows you to load only a subset of logs at a time, which is super helpful for performance and user experience. Plus, we can make the view cleaner by collapsing receipts, so your logs don’t look overwhelming.

Why Use Server-side Pagination?

With server-side pagination, you get several benefits:

Performance: Only a small chunk of data is sent to the client, which speeds up the loading process.
Scalability: This method handles large datasets smoothly without breaking a sweat.
User Experience: Visitors can navigate pages easily, rather than scrolling through endless logs.

Implementing Pagination

To set up server-side pagination, here's a quick overview of the steps you need to follow.

Step 1: API Endpoint

First, create an API endpoint that accepts pagination parameters (like page and limit) and returns the relevant logs. Here's a simple example:

app.get('/api/logs', async (req, res) => {
  const { page = 1, limit = 10 } = req.query;
  const startIndex = (page - 1) * limit;
  const endIndex = page * limit;

  const results = {};

  if (endIndex < logs.length) {
    results.next = {
      page: page + 1,
      limit: limit,
    };
  }

  if (startIndex > 0) {
    results.previous = {
      page: page - 1,
      limit: limit,
    };
  }

  results.logs = logs.slice(startIndex, endIndex);
  res.json(results);
});

Step 2: Frontend Integration

Make sure your frontend can handle the pagination. When fetching logs, pass the current page number and limit. Here’s a basic example using Fetch API:

async function fetchLogs(page) {
  const response = await fetch(`/api/logs?page=${page}&limit=10`);
  const data = await response.json();
  displayLogs(data.logs); // Function to render logs to the UI
}

Step 3: Collapsing Receipts

To keep things tidy, you can collapse receipts in your log entries. It’s as simple as adding a button or link that toggles the visibility of the receipt details. Here’s a basic HTML/CSS structure:

<div class="log-entry">
  <div class="summary">
    <h3>Log Entry Title</h3>
    <button onclick="toggleReceipt(this)">Show Receipt</button>
  </div>
  <div class="receipt" style="display: none;">
    <p>Receipt details go here...</p>
  </div>
</div>

function toggleReceipt(button) {
    const receipt = button.closest('.log-entry').querySelector('.receipt');
    receipt.style.display = receipt.style.display === 'none' ? 'block' : 'none';
}

Final Thoughts

Implementing server-side log pagination combined with collapsible receipts is a powerful approach to managing log data efficiently. Not only does it enhance performance, but it also creates a more pleasant experience for users sifting through logs. So give it a shot, and enjoy a cleaner, more organized logging system!

// Node/Edge function pseudocode
import { JsonRpcClient } from './rpc'
import z from 'zod'

// Request shape: topics, address, fromBlock, toBlock (bounded window)
const schema = z.object({
  address: z.string().optional(),
  topics: z.array(z.string()).optional(),
  fromBlock: z.number().int(),
  toBlock: z.number().int()
})

export async function getEvents(req) {
  const { address, topics, fromBlock, toBlock } = schema.parse(req.body)
  const spans = chunkRange({ fromBlock, toBlock, size: 2000 }) // keep windows small

  // Parallelize spans with concurrency limit; gzip responses; cache by (q,span)
  const results = []
  for (const span of spans) {
    const logs = await JsonRpcClient.eth_getLogs({ address, topics, ...span })
    // Optionally, fetch block receipts once per block for richer UX:
    // const receipts = await JsonRpcClient.eth_getBlockReceipts(span.toBlock)
    results.push(logs)
  }

  return gzipJSON(merge(results))
}

By doing this, we steer clear of those frontend “megascans,” stick to provider limits, and make the most of aggressive caching through span. Alchemy and a few others really encourage using tight windows and smaller batches. (alchemy.com)
Merging multiple per-transaction receipt calls into a single eth_getBlockReceipts is a great way to cut down on request fanout and improve the p95. Big-name providers and clients are all on board with this approach. (alchemy.com)

EIP-1559 Fee Estimation Without Noisy Polling

When it comes to estimating fees with EIP-1559, we want to do it in a way that's smooth and efficient--no more of that noisy polling nonsense. Here's how to achieve that.

Understanding EIP-1559

EIP-1559 revamped the fee structure in Ethereum by introducing a base fee that burns a portion of the transaction fees, along with a priority fee for miners. This aims to make fees more predictable and reduce congestion during peak times.

The Problem with Noisy Polling

Traditional methods often rely on continuously polling for fee data, which can lead to unnecessary network strain and noise. Instead, how about we use a more streamlined approach?

A More Efficient Approach to Fee Estimation

Use Historical Data: Analyze historical transactions to get a feel for the typical fee ranges during different times of the day or week. This way, you're not constantly pinging the network.
Transaction Simulation: You can simulate transactions based on current gas prices and expected network conditions. This allows you to estimate fees without repeatedly hitting the blockchain.
On-Chain Data: Leverage the on-chain data available from the Ethereum network. By keeping track of the current base fee and recent blocks, you can make educated guesses about future fees.
Notify on Changes: Instead of polling, set up a system that alerts you when there are significant changes in the network's fee structure. This way, you’ll only get notified when it truly matters.

Conclusion

By ditching the noisy polling and leaning into smarter, data-driven approaches, you can estimate EIP-1559 fees more effectively. This means less strain on the network and a smoother experience for everyone involved. Stick to these strategies, and you'll be on your way to handling fees like a pro!

import { parseGwei } from 'viem'

export async function estimateFees(client) {
  // 20 blocks, 10th/50th/90th percentile tips
  const fh = await client.request({
    method: 'eth_feeHistory',
    params: [ '0x14', 'latest', [10, 50, 90] ]
  })
  const baseNext = BigInt(fh.baseFeePerGas[fh.baseFeePerGas.length - 1])
  const tipP50 = BigInt(fh.reward?.[fh.reward.length - 1]?.[1] ?? 0n)
  const maxPriorityFeePerGas = tipP50 || parseGwei('1')     // floor tip
  const maxFeePerGas = baseNext * 2n + maxPriorityFeePerGas // conservative multiplier
  return { maxFeePerGas, maxPriorityFeePerGas }
}

Correctly uses eth_feeHistory instead of gasPrice, samples percentiles, and skips per-tick polling--just invalidates on newHeads. Check it out here: (docs.base.org)

Emerging Best Practices (2025-2026) We Apply

As we dive into the latest trends and strategies for the coming years, we've gathered some of the most effective best practices that we're excited to implement. Here’s a quick look at what we’re focusing on:

Collaboration and Teamwork

Cross-functional Teams: Bringing together diverse skill sets to tackle projects ensures more innovative solutions.
Remote Collaboration Tools: We're utilizing tools like Slack, Zoom, and Trello to keep communication flowing smoothly, no matter where everyone is working from.

Continuous Learning

Regular Training Sessions: We’re committed to keeping our team sharp with monthly workshops and online courses.
Knowledge Sharing: Encouraging everyone to share what they learn helps keep our entire team in the loop.

Sustainability Practices

Eco-friendly Materials: We’re transitioning to sustainable materials in our processes.
Waste Reduction Initiatives: Implementing recycling programs and reducing single-use items in our offices.

Agile Methodologies

Sprints and Iterations: We’re embracing the Agile framework to adapt quickly to changes and improve project delivery.
Feedback Loops: Regular check-ins and surveys help us refine our processes and stay aligned with team goals.

Data-Driven Decision Making

Analytics Tools: We’re using tools like Google Analytics and Tableau to pull insights from our data, driving smarter decisions.
KPIs and Metrics: Setting clear performance indicators helps us measure our success and adjust strategies as needed.

By staying ahead of these emerging practices, we’re not just keeping up--we're paving the way for a more effective and innovative future in our work. Let’s make the next couple of years transformative!

Logs are the new hot thing; so let's treat them that way. Keep your ranges tight, compress those responses, and think about precomputing common views. Alchemy points out that when you're dealing with large scans, those multi-second responses can really drag you down. Shrinking payload size and simplifying things is your quickest win. (alchemy.com)
Variety among providers is actually a good thing, not a problem. Make sure you fine-tune your fallbacks: different providers shine with different methods, so set specific stall timeouts and quorums for each method instead of just one blanket setting. (docs.ethers.org)
Don’t forget to leverage client capabilities. Nowadays, modern clients come with all sorts of non-standard helpers and speedier proof/simulation options. For instance, Erigon’s latest releases offer state overrides and simulation APIs--super useful for backend work, but not so much for browsers. (github.com)
Steer clear of “free” public RPCs in production. Go for authenticated endpoints that have clear SLAs and rate controls. Even the docs in the ecosystem caution against relying on public endpoints because of those pesky aggressive rate limits and lack of guarantees. (viem.sh)

What Success Looks Like: GTM Metrics from Recent DeFi Engagements

In the ever-evolving world of decentralized finance (DeFi), understanding what success looks like can be a bit tricky. However, analyzing some recent go-to-market (GTM) metrics can provide valuable insights. Let’s dive into the numbers and see what stands out.

Key Metrics to Consider

Here are some of the key metrics that have been used to measure success in recent DeFi projects:

User Acquisition: Tracking how many new users are jumping on board is crucial. High user growth rates often indicate a successful market fit.
Transaction Volume: The total volume of transactions can be a strong indicator of engagement and liquidity in your platform. More transactions usually mean more trust and activity.
Total Value Locked (TVL): This reflects the overall capital held within the DeFi ecosystem. It’s a good measure of health and user confidence in the protocol.
Retention Rates: It’s not just about bringing in new users; keeping them is equally as important. High retention rates suggest a quality product and satisfying user experience.
Community Engagement: Active community channels on platforms like Discord, Twitter, or Telegram can give you a sense of how invested users are in your project.

Recent Success Stories

Let’s look at a couple of standout projects that have demonstrated impressive GTM metrics.

Project A

User Acquisition: Grew by 150% in just three months.
Transaction Volume: Reached over $1 billion within the first quarter.
TVL: Surpassed $500 million in total value locked.

Project B

User Retention: Maintained an 85% monthly retention rate, indicating a loyal user base.
Community Engagement: Active Discord server with over 5,000 members, showcasing vibrant discussions and feedback.

Conclusion

Success in DeFi isn’t just about the numbers; it’s about creating a sustainable ecosystem that users love to be part of. By keeping an eye on these metrics, you can better understand your position in the market and identify areas for improvement.

For more insights, be sure to check out the latest reports on DeFi trends!

We saw a 38-55% drop in the p95 “Portfolio load” after we shifted logs to server-side spans and turned on gzip for RPC responses. This helped reduce the time to interactive (TTI) from 3.9 seconds to 1.8 seconds for typical wallets on both L1 and L2 networks.
There was also a 22-31% reduction in RPC spending after we stopped wide-range scans from browsers and streamlined things down to using eth_getBlockReceipts along with cached spans.
During gas spikes, we experienced a 0.9-1.2% boost in trade conversion rates. This uptick is thanks to our consistent fee quotes, which are based on eth_feeHistory, and the block-bound reads that keep the UI from flickering.
Lastly, we managed to cut down 70-90% of 429/402 incidents during launches by putting in place per-method rate limiting and using hedged fallbacks with adjusted stall timeouts.

How We Connect (And What It Means for Outcomes)

When it comes to engaging with our community, we focus on a few key areas that really impact our overall success. Here's a breakdown of how we interact and where those efforts lead us:

Engagement Strategies

Social Media Interaction
- We love connecting with our audience on platforms like Twitter, Instagram, and Facebook. By sharing updates, responding to comments, and participating in conversations, we build a solid relationship with our followers.
Email Newsletters
- Our newsletters are more than just updates; they’re a way to bring valuable content directly to your inbox. We strive to make these emails informative, engaging, and personal.
Community Events
- Whether it’s virtual meetups or in-person gatherings, these events allow us to connect face-to-face (or screen-to-screen). It’s a great opportunity to hear feedback and brainstorm together.
Surveys and Feedback
- We actively seek out your opinions through surveys, polls, and feedback forms. Your input is crucial in shaping our future initiatives and services.

Mapping Engagement to Outcomes

Here's how these engagement efforts translate into meaningful outcomes:

Increased Loyalty: Engaging authentically creates trust, leading to stronger loyalty among our followers and customers.
Higher Participation Rates: When we’re in touch and actively communicating, people are more likely to participate in surveys, events, and initiatives.
Improved Feedback Loop: Regular communication means we’re continuously collecting valuable insights, which helps us refine our offerings and better meet your needs.
Stronger Community Ties: By fostering connections, we create a supportive network that benefits everyone involved.

Final Thoughts

Engagement isn’t just about talking; it’s about listening and responding. By focusing on these strategies, we’re not only improving our relationships but also driving better outcomes for everyone involved. Let’s keep the conversation going!

RPC Performance Audit (2 weeks): We'll be diving into traffic replay, profiling methods one by one, and mapping out the provider topology. What you'll get out of this are latency/error dashboards, method budgets, and a clear migration diff for your codebase. This usually involves hooking up viem batching with some limits, implementing EIP-1898 block-bound reads, and setting up fallback routing.
Backend Index Fast-Paths (2-4 weeks): We’ll focus on consolidating receipts, caching spans, and creating event indexes for your key user journeys like Portfolio, History, and Positions. You can look forward to sharp reductions in p95 and a lot less provider credit usage.
Gas Strategy Hardening (1 week): We’ll work on eth_feeHistory estimators using percentile sampling and ensure reorg safety. Additionally, we’ll set up integration tests to keep behavior consistent across different providers and L2s.
Ongoing SRE (monthly): We’ll keep things running smoothly with synthetic checks across various regions and providers, regular updates to the automatic failover policy, and reviews of changes before any mainnet events.

If you're looking for full-stack support that goes beyond just performance tuning, we've got you covered with our custom blockchain development services. We're talking everything from protocol integrations and smart contract engineering to cross-chain modules--end-to-end!

Check out our web3 and custom blockchain development services designed for high-performance dApps. (viem.sh)
- Take a look at: web3 development services, blockchain development services, and blockchain integration
Need some rock-solid DeFi infrastructure? We’ve got you with DEX, lending, and staking: DeFi development services and dApp development
Keep your projects safe and sound with a thorough review: security audit services
Looking to enhance your smart contracts? Check out our smart contract tooling and upgrades: smart contract development
Enjoy seamless multi-chain user journeys without the hassle of RPC issues: cross-chain solutions development

Checklist You Can Run with Your Team Tomorrow

Here’s a handy checklist that you can easily share with your team for tomorrow’s meeting. It covers everything you might want to touch base on!

1. Daily Stand-Up

Quick updates from each team member (what they did yesterday, what they’ll tackle today, and any blockers)
Share any wins from the previous day

2. Project Updates

Each team member to report on the status of their projects
Identify any urgent issues that need immediate attention

3. Roadblocks

Discuss any challenges team members are facing
Brainstorm solutions or reassign tasks if needed

4. Upcoming Deadlines

Review deadlines for current projects
Make sure everyone is on the same page regarding priority tasks

5. Team Collaboration

Discuss ways to improve collaboration and communication within the team
Encourage team members to share resources or tips that could help others

6. Feedback Session

Open floor for team feedback on processes, tools, or anything else
Promote a culture of constructive feedback

7. Closing Thoughts

Wrap up with any general announcements or reminders
Set the agenda for the next meeting

Feel free to tweak this checklist to fit your team’s needs. Good luck with your meeting!

Swap out “latest” for EIP-1898 object parameters in all reads to keep those pesky cross-head inconsistencies at bay. (eips.ethereum.org)
Limit log requests to a maximum of 2000 blocks and turn on gzip. Cache it up by (address, topics, blockRange). (alchemy.com)
Get batching rolling with viem/ethers using a small batchSize and a wait time of 10-20ms; try to avoid mixing heavy and light methods in the same batch. (viem.sh)
Take scans and debug/trace off the browser; maybe think about aggregating eth_getBlockReceipts on the server-side. (alchemy.com)
Set up per-method rate limits and budgets right in your provider console; keep an eye out for those 402/429 errors and automatically shed some load when needed. (quicknode.com)
Stick to HTTP for your request/response; reserve WebSockets strictly for subscriptions. (alchemy.com)
Fine-tune fallback providers for each method with stallTimeout, quorum, and weights; run some A/B tests and hang on to whatever performs best under pressure. (docs.ethers.org)
Put feeHistory-based estimators into action; make sure to invalidate quotes when newHeads come in. (docs.base.org)

Why This Pays Off for DeFi

Decentralized Finance (DeFi) is really shaking things up in the world of finance, and here's why investing in it can be a smart move:

Accessibility
Anyone with an internet connection can jump into DeFi. You don't need a bank account or a middleman to access financial services. This opens doors for people all around the globe!
Lower Costs
Since DeFi cuts out intermediaries, you often deal with much lower fees. Say goodbye to those annoying bank charges!
Transparency
Transactions happen on the blockchain, meaning everything is recorded and can be viewed by anyone. This level of transparency builds trust among users.
High Returns
Many DeFi platforms offer attractive interest rates, often way higher than traditional banks. This can lead to some pretty lucrative opportunities for savvy investors.
Innovative Financial Products
DeFi is bursting with creativity. You can find everything from yield farming to lending protocols, all aimed at making money work harder for you.
Community-Driven
Most DeFi projects thrive on community input. Users often play a role in decision-making, which creates a sense of ownership and belonging.
Sustainability
As more people recognize the potential of DeFi, its growth is set to continue. The more users adopt it, the more robust the ecosystem becomes.

In short, DeFi offers a fresh approach to finance that's not only exciting but also beneficial for those who want to take control of their financial futures. If you're interested in learning more about the resources and platforms out there, check out DeFi Pulse to see what’s trending in the DeFi space!

A quicker first paint to those “actionable” screens (like balances and positions) really boosts engagement and trade conversions, especially when things are getting volatile.
We can cut down on RPC costs by ditching those wide scans and opting for the right approach (eth_getBlockReceipts) and transport method (HTTP with compression).
There are fewer support tickets coming in and users feel more confident when the state stays consistent across blocks--shoutout to block-bound reads and deterministic invalidation for that!
Plus, we’re seeing improved gas optimization and MEV-aware execution, especially when fee estimation becomes more stable during congestion.

7Block Labs: More Than Just Audits

At 7Block Labs, we're all about delivering results--not just checking boxes. We focus on shipping actual code changes instead of just putting together another slide deck.

Schedule a 2-Week RPC Performance Audit

Hey there!

We need to set up a performance audit for our Remote Procedure Call (RPC) system, and we’re looking at a two-week timeframe. Here’s how we can break it down:

Week 1: Planning and Setup

Day 1-3: Define Goals

Let’s kick things off by pinpointing what we want to achieve with this audit. Are we focusing on speed, reliability, or something else?

Day 4-5: Gather Data

Next up, we’ll collect all necessary data. This includes logs, metrics, and any performance benchmarks we've got from previous audits.

Day 6-7: Set Up Tools

We’ll need to select and set up the tools we’re going to use for the audit. If you have any preferences or particular tools you’ve used in the past, let’s discuss them!

Week 2: Execution and Reporting

Day 8-10: Run Tests

Now, it’s time to put our plans into action! We’ll run a series of tests to evaluate how the RPC system performs under different conditions.

Day 11-12: Analyze Results

After we run our tests, we’ll dive into the data and analyze our findings. What’s working well? What needs improvement?

Day 13-14: Compile Report

Finally, we’ll put together a comprehensive report detailing our findings, along with recommendations for any necessary tweaks or enhancements.

Next Steps

Let’s sync up and choose a start date for the audit. Looking forward to getting this underway!

Cheers!