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Clinic Management System Development with Microservices Monolithic clinic management systems struggle under real-world healthcare load — a bug in billing can crash the entire patient portal, and scaling one module means scaling everything. Microservices architecture, paired with Docker and Kubernetes, solves this by breaking the system into independent, deployable units.In this guide, we walk through architecting and deploying a clinic management system with services for appointments, patient records, billing, and notifications , and show exactly how each user journey maps to the underlying services and code.System Architecture OverviewThe system is split into five core services, each owning its own database and communicating via REST (synchronous) or RabbitMQ (asynchronous events):Auth Service — JWT-based authentication backed by RedisAppointment Service — Books, reschedules, and cancels appointments; publishes events to RabbitMQPatient Records Service — Stores and retrieves sensitive medical data with strict access controlBilling Service — Handles invoices and insurance integrations; listens to appointment eventsNotification Service — Stateless consumer that sends email/SMS alerts on appointment eventsAll external traffic routes through an NGINX Ingress controller, which handles TLS termination, rate limiting, and path-based routing to the appropriate service.PrerequisitesDocker v24+ and Docker Compose v2+kubectl v1.28+ and a running Kubernetes cluster (Minikube locally, or GKE/EKS/AKS for production)Node.js v20+User Journey FlowThree primary actors interact with the system, Patient, Doctor, and Admin. Each step in the journey maps directly to a service, an API call, and a code snippet below.Also, Read | FHIR and Blockchain | A New Age of Healthcare Data ManagementJourney 1 : Patient Books an Appointment[Patient Opens App] │ ▼ [Auth Service] ──── POST /auth/login │ JWT token issued, stored in Redis ▼ [Appointment Service] ──── GET /appointments/available │ Returns available doctor slots ▼ [Patient Selects Slot] ──── POST /appointments │ Conflict check + insert as 'confirmed' │ ├──► [Notification Service] ── Confirmation email/SMS sent └──► [Billing Service] ────── Pending invoice created Step 1 : Issue JWT on login:const token = jwt.sign( { patientId: user.id, role: user.role }, process.env.JWT_SECRET, { expiresIn: '8h' } ); await redis.set(`session:${user.id}`, token, 'EX', 28800); Step 2 : Conflict check + book appointment:const conflict = await pool.query( `SELECT id FROM appointments WHERE doctor_id = $1 AND scheduled_at = $2 AND status != 'cancelled'`, [doctorId, scheduledAt] ); if (conflict.rows.length > 0) return res.status(409).json({ error: 'Time slot already booked' }); const { rows } = await pool.query( `INSERT INTO appointments (patient_id, doctor_id, scheduled_at, status) VALUES ($1, $2, $3, 'confirmed') RETURNING *`, [req.user.patientId, doctorId, scheduledAt] ); // Triggers both Notification and Billing services channel.sendToQueue('appointment.booked', Buffer.from(JSON.stringify({ appointmentId: rows[0].id, patientId: rows[0].patient_id })), { persistent: true } ); Journey 2 : Doctor Reviews Patient Before Visit[Doctor Logs In] │ ▼ [Auth Service] -> POST /auth/login (role: 'doctor' in JWT) │ ▼ [Appointment Service] -> GET /appointments?doctorId=xxx&date=today │ ▼ [Patient Records Service] -> GET /records/:patientId │ Returns history, diagnoses, prescriptions ▼ [Doctor Updates Notes] -> PATCH /records/:patientId │ ▼ [Appointment Service] -> PATCH /appointments/:id → status: 'completed' │ ├──► [Billing Service] -> Invoice status updated to 'due' └──► [Notification Service] -> Post-visit summary sent to patient Step 3 : Fetch today's schedule:const { rows } = await pool.query( `SELECT * FROM appointments WHERE doctor_id = $1 AND scheduled_at::date = CURRENT_DATE AND status = 'confirmed'`, [req.user.doctorId] ); Step 4 — Mark visit complete + trigger billing and notification:await pool.query( `UPDATE appointments SET status = 'completed' WHERE id = $1`, [appointmentId] ); channel.sendToQueue('appointment.completed', Buffer.from(JSON.stringify({ appointmentId, patientId })), { persistent: true } ); Also, Explore | Revolutionizing Healthcare With AI As A Virtual Nursing AssistantJourney 3 : Admin Manages Billing[Admin Logs In] │ ▼ [Auth Service] -> POST /auth/login (role: 'admin' in JWT) │ ▼ [Billing Service] -> GET /billing/invoices?status=pending │ ├── PATCH /billing/invoices/:id (manual adjustment) └── POST /billing/claims (submit to insurer) │ ▼ [External Insurance API] │ └── approved / rejected / partial │ ▼ [Billing Service] -> Invoice updated │ └──► [Notification Service] ── Patient notified Step 5 : Submit insurance claim + update invoice:const claim = await insurerAPI.submitClaim({ invoiceId, patientId, amount }); await pool.query( `UPDATE invoices SET status = $1 WHERE id = $2`, [claim.status, invoiceId] ); channel.sendToQueue('billing.updated', Buffer.from(JSON.stringify({ patientId, status: claim.status })), { persistent: true } ); Journey 4 : Patient Cancels an Appointment[Patient Opens App] │ ▼ [Auth Service] -> Token validated from Redis │ ▼ [Appointment Service] -> DELETE /appointments/:id │ Ownership check: patient_id must match JWT │ Status updated to 'cancelled' │ ├──► [Notification Service] -> Cancellation confirmation sent └──► [Billing Service] -> Pending invoice voided Step 6 — Cancel with ownership check + void invoice:const { rows } = await pool.query( `UPDATE appointments SET status = 'cancelled' WHERE id = $1 AND patient_id = $2 RETURNING *`, [appointmentId, req.user.patientId] ); if (rows.length === 0) return res.status(403).json({ error: 'Not authorized or not found' }); await pool.query( `UPDATE invoices SET status = 'voided' WHERE appointment_id = $1`, [appointmentId] ); channel.sendToQueue('appointment.cancelled', Buffer.from(JSON.stringify({ appointmentId, patientId: req.user.patientId })), { persistent: true } ); Notification Service : Consumes All Journey EventsEvery journey above ends with an event on RabbitMQ. The notification service handles all of them in one place:channel.prefetch(1); const queues = ['appointment.booked', 'appointment.completed', 'appointment.cancelled', 'billing.updated']; queues.forEach(queue => { channel.consume(queue, async (msg) => { try { const data = JSON.parse(msg.content.toString()); await sendNotification(queue, data); channel.ack(msg); } catch (err) { channel.nack(msg, false, true); // requeue on failure } }); }); Also, Discover | Application of Blockchain and IoT (Internet of Things) in HealthcareDeploying on Docker and KubernetesContainerizing ServicesEach service uses a multi-stage Dockerfile , non-root user, minimal image, direct node execution for proper signal handling:RUN addgroup -S appgroup && adduser -S appuser -G appgroup USER appuser CMD ["node", "src/index.js"] Kubernetes Health ProbesLiveness and readiness probes prevent Kubernetes from routing traffic to pods that are still starting or have silently crashed:livenessProbe: httpGet: path: /health port: 3001 initialDelaySeconds: 15 readinessProbe: httpGet: path: /health port: 3001 initialDelaySeconds: 5 resources: requests: cpu: "100m" memory: "128Mi" limits: cpu: "500m" memory: "512Mi" AutoscalingThe appointment service scales between 3 and 15 pods automatically based on CPU load:minReplicas: 3 maxReplicas: 15 metrics: - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 65 Graceful ShutdownEvery service handles SIGTERM to finish in-flight requests before shutting down:process.on('SIGTERM', async () => { server.close(async () => { await pool.end(); await amqpConn.close(); process.exit(0); }); }); Secrets ManagementCredentials always come from Kubernetes Secrets , never hardcoded or stored in ConfigMaps:env: - name: DB_PASSWORD valueFrom: secretKeyRef: name: clinic-secrets key: APPT_DB_PASSWORD - name: JWT_SECRET valueFrom: secretKeyRef: name: clinic-secrets key: JWT_SECRET Developer Best PracticesNever share databases between services. If billing reads directly from the appointments table, you have a hidden monolith. All cross-service data access must go through the owning service's API.Use persistent: true for all critical events. Appointment bookings, completions, cancellations, and billing updates must survive a RabbitMQ restart.Set resource requests and limits on every pod. Without them, one misbehaving service can starve others on the same node , a serious risk in a healthcare system.ConclusionEach user journey in this clinic system — booking, visiting, billing, and cancelling — maps cleanly to a set of services, API calls, and RabbitMQ events. No service knows about another's internals. The appointment booking alone touches four services without any tight coupling.Start with Docker Compose locally to validate inter-service events, then deploy to Kubernetes with health probes, autoscaling, and proper secrets management. The architecture pays off quickly as your clinic system grows in users, features, and compliance requirements. For more information related to healthcare app development, connect with our healthcare developers.

Category: Health & Wellness

Ankit Mishra

20 Mar 2026

Building a Blockchain-Based Freelance Payment System Freelance work is increasingly global, but traditional platforms still face issues like delayed payments, high fees, and trust concerns. A blockchain-based freelance system, built using blockchain development services, can eliminate middlemen, ensure fair payments through smart contracts, and offer transparent dispute resolution.What We're BuildingA decentralized freelance payment system on Ethereum (or any EVM-compatible chain) featuring:Escrow-based paymentsClient and freelancer ratingsDispute resolution via third-party votersFull transparency with on-chain historyContract ArchitectureFreelance Escrow – Handles escrow, job creation, approval, payment withdrawal, disputes, and ratings.Freelance Escrow ContractThis contract manages the core features of the system, such as creating freelance jobs, approving work, withdrawing payments, rating both parties, and handling disputes. Here's the contract code:// SPDX-License-Identifier: MIT pragma solidity ^0.8.0; contract FreelanceEscrow { struct Job { address client; address freelancer; uint256 amount; bool isApproved; bool isWithdrawn; bool disputeOpened; address[] voters; uint8 votesForFreelancer; uint8 freelancerRating; uint8 clientRating; bool freelancerRated; bool clientRated; mapping(address => bool) hasVoted; } Job[] public jobs; event JobCreated(uint256 indexed jobId, address client, address freelancer, uint256 amount); event JobApproved(uint256 indexed jobId); event PaymentWithdrawn(uint256 indexed jobId); event FreelancerRated(uint256 indexed jobId, uint8 rating); event ClientRated(uint256 indexed jobId, uint8 rating); event DisputeOpened(uint256 indexed jobId); event DisputeVoted(uint256 indexed jobId, bool supportFreelancer); // Public method for creating freelance jobs function createFreelanceJob(address _freelancer) external payable { require(msg.value > 0, "Escrow must have funds"); uint256 jobId = jobs.length; Job storage newJob = jobs.push(); newJob.client = msg.sender; newJob.freelancer = _freelancer; newJob.amount = msg.value; newJob.isApproved = false; newJob.isWithdrawn = false; newJob.disputeOpened = false; newJob.voters = new address[](0) ; newJob.votesForFreelancer = 0; newJob.freelancerRating = 0; newJob.clientRating = 0; newJob.freelancerRated = false; newJob.clientRated = false; emit JobCreated(jobId, msg.sender, _freelancer, msg.value); } // Approve work function (public) function approveWork(uint256 jobId) external { Job storage job = jobs[jobId]; require(msg.sender == job.client, "Only client can approve"); require(!job.isApproved, "Already approved"); job.isApproved = true; emit JobApproved(jobId); } // Withdraw payment function (public) function withdrawPayment(uint256 jobId) external { Job storage job = jobs[jobId]; require(msg.sender == job.freelancer, "Only freelancer"); require(!job.isWithdrawn, "Already withdrawn"); require( job.isApproved || (job.disputeOpened && job.votesForFreelancer > job.voters.length / 2), "Not eligible for withdrawal" ); job.isWithdrawn = true; payable(job.freelancer).transfer(job.amount); emit PaymentWithdrawn(jobId); } // Rate freelancer (public) function rateFreelancer(uint256 jobId, uint8 _rating) external { Job storage job = jobs[jobId]; require(msg.sender == job.client, "Only client"); require(!job.freelancerRated, "Already rated"); require(_rating <= 5, "Rating out of range"); job.freelancerRating = _rating; job.freelancerRated = true; emit FreelancerRated(jobId, _rating); } // Rate client (public) function rateClient(uint256 jobId, uint8 _rating) external { Job storage job = jobs[jobId]; require(msg.sender == job.freelancer, "Only freelancer"); require(!job.clientRated, "Already rated"); require(_rating <= 5, "Rating out of range"); job.clientRating = _rating; job.clientRated = true; emit ClientRated(jobId, _rating); } // Open dispute (public) function openDispute(uint256 jobId, address[] calldata _voters) external { Job storage job = jobs[jobId]; require(msg.sender == job.client || msg.sender == job.freelancer, "Unauthorized"); require(!job.disputeOpened, "Already open"); require(_voters.length > 0, "Voters required"); job.disputeOpened = true; job.voters = _voters; emit DisputeOpened(jobId); } // Vote in dispute (public) function voteDispute(uint256 jobId, bool supportFreelancer) external { Job storage job = jobs[jobId]; require(job.disputeOpened, "No dispute active"); require(!job.hasVoted[msg.sender], "Already voted"); bool validVoter = false; for (uint i = 0; i < job.voters.length; i++) { if (job.voters[i] == msg.sender) { validVoter = true; break; } } require(validVoter, "Not an assigned voter"); job.hasVoted[msg.sender] = true; if (supportFreelancer) { job.votesForFreelancer++; } emit DisputeVoted(jobId, supportFreelancer); } // Get job details function getJob(uint256 jobId) external view returns ( address client, address freelancer, uint256 amount, bool isApproved, bool isWithdrawn, bool disputeOpened, uint8 votesForFreelancer, uint8 freelancerRating, uint8 clientRating, bool freelancerRated, bool clientRated ) { Job storage job = jobs[jobId]; return ( job.client, job.freelancer, job.amount, job.isApproved, job.isWithdrawn, job.disputeOpened, job.votesForFreelancer, job.freelancerRating, job.clientRating, job.freelancerRated, job.clientRated ); } }Key FeaturesEscrow System: Clients deposit funds into an escrow that's automated through smart contracts, allowing freelancers to withdraw only after approval or a resolved dispute.On-chain Ratings: Both the freelancer and client rate each other (1–5 stars), leaving immutable feedback for transparency.Dispute Voting: Third-party voters (assigned during the dispute) vote on the dispute's outcome. If the freelancer wins the majority vote, they can withdraw the funds even if the client hasn't approved the work.Job Tracking: All jobs created are indexed and can be referenced in the factory contract for easy tracking.Example Usage FlowJob Creation: The client callscreateFreelanceJob(freelancer) and deposits ETH.Freelancer Completes Work: The freelancer finishes the task.Client Approves Work: The client approves the work by callingapproveWork().Freelancer Withdraws Payment: If the work is approved or after a successful dispute vote, the freelancer callswithdrawPayment().Ratings: After the transaction, both parties rate each other usingrateFreelancer() andrateClient().Dispute Process: If the client doesn't approve the work, a dispute can be opened, and voters vote usingvoteDispute(). If the freelancer wins, they can withdraw the payment.Security ConsiderationsReentrancy Protection: Use ofnonReentrant modifiers to prevent reentrancy attacks during payment withdrawals.Identity Systems: Incorporate ENS or Decentralized IDs (DIDs) to enhance identity verification and trust.DAO Governance: Consider replacing the static voter selection system with DAO governance for more decentralized dispute resolution.ConclusionThis blockchain-based freelancer payment system empowers both freelancers and clients to interact directly, ensuring trustless, fair, and transparent transactions. With no platform fees, instant payouts, decentralized dispute resolution, and an on-chain reputation system, this solution is poised to redefine global freelance work, promoting fairness and reducing reliance on centralized platforms.Ready to build your own decentralized freelance platform?Get in touch with our blockchain experts to develop a secure, smart contract-powered payment system tailored to your needs. Contact us today.

Category: Blockchain Development & Web3 Solutions

Ankit Mishra

30 Apr 2025

Integrating zk-SNARKs for Private Transactions In blockchain app development, privacy and security are critical concerns. Although blockchain's transparency offers many benefits, it also exposes sensitive information like transaction details and user identities. Zero-knowledge proofs (ZKPs), specifically zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge), offer a way to prove knowledge of a secret without revealing the secret itself.This blog explains the concept of zk-SNARKs using a simple JavaScript example and outlines how they can be integrated into blockchain systems for private transactions.Disclaimer:This example simplifies zk-SNARKs for illustration. Real-world zk-SNARKs require advanced cryptographic tools like Circom and SnarkJS, which are used in production systems.What Are Zero-Knowledge Proofs?A zero-knowledge proof (ZKP) is a cryptographic method allowing one party (the prover) to convince another party (the verifier) that they know a specific piece of information, without revealing that information. In blockchain, this enables private transactions, where the validity of a transaction can be verified without exposing details like the sender, receiver, or amount.For example, Alice can prove she knows a secret (say, a private key) to Bob, without revealing the actual key. This concept can be used in private transactions, where only the legitimacy of the transaction is proven, not the sensitive details.You may also like | Build a Secure Smart Contract Using zk-SNARKs in SoliditySimplified Example of zk-SNARKsTo grasp the concept, let's walk through a simplified zk-SNARKs-like scenario using hashes. While real zk-SNARKs involve complex cryptographic protocols, this example shows the core idea of zero-knowledge proofs.Step 1: Alice Generates a ProofAlice has a secret (e.g., a private key), and she needs to prove that she knows it without revealing the secret. She hashes it using SHA-256.const crypto = require('crypto'); // Alice's secret (e.g., private key) const aliceSecret = crypto.randomBytes(32).toString('hex'); // Proof generates for Alice by hashing the secret function generateProof(secret) { const hash = crypto.createHash('sha256').update(secret).digest('hex'); return hash; } const aliceProof = generateProof(aliceSecret);Step 2: Bob Verifies the ProofBob wants to verify that Alice knows the secret, but he doesn't want to know the secret itself. Alice shares the proof (the hash) with Bob. Bob then hashes his claimed secret (which, in this case, is Alice's secret for demonstration) and compares the hash to Alice's proof.// Bob's claimed secret (for demo purposes, assume Bob knows it) const bobsClaimedSecretHash = aliceSecret; // Bob verifies the proof function verifyProof(proof, claimedSecretHash) { const generatedHash = generateProof(claimedSecretHash); return generatedHash === proof; } const isProofValid = verifyProof(aliceProof, bobsClaimedSecretHash); if (isProofValid) { console.log("Proof is valid! Bob knows Alice knows the secret (without knowing the secret itself)."); } else { console.log("Proof is invalid."); }You might be interested in | How to Deploy a Smart Contract to Polygon zkEVM TestnetStep 3: Verifying a Wrong ClaimIf Bob makes an incorrect guess, the proof validation will fail. This illustrates that zk-SNARKs are secure against false claims.// Bob guesses wrongly const bobsWrongClaim = crypto.randomBytes(32).toString('hex'); // A wrong guess const isProofValidWrong = verifyProof(aliceProof, bobsWrongClaim); if (!isProofValidWrong) { console.log("Proof is NOT valid with wrong guess."); }Key TakeawaysZero-Knowledge Proofs (ZKPs) allow you to prove knowledge of a secret without revealing the secret itself.zk-SNARKs use more advanced cryptography, like elliptic curve cryptography, and can be used to validate private transactions in blockchain systems.The simplified example shows how zk-SNARKs prove that Alice knows a secret without revealing the secret. In real-world scenarios, this can be applied to ensure privacy while verifying blockchain transactions.Also, Read | How ZK-Rollups are Streamlining Crypto Banking in 2024How zk-SNARKs Can Be Used for Private Blockchain TransactionsStep 1: Define Transaction Logic in CircomIn a blockchain, the transaction logic needs to be represented as a Circom circuit. This defines the conditions of a valid transaction, such as verifying the sender's balance and ensuring that the recipient address is valid.Step 2: Compile the Circuit Using SnarkJSThe Circom circuit is compiled using SnarkJS, a library that creates the necessary proving and verification keys for zk-SNARKs. The proving key is used to generate the proof, while the verification key is used by the blockchain to verify the proof.Step 3: Generate and Verify ProofsAfter compiling the circuit, proofs can be generated and submitted alongside transactions. The proof confirms that a transaction is valid (e.g., the sender has enough funds) without revealing sensitive details. The verification key is used to validate the proof on-chain.Step 4: Real-World Blockchain IntegrationIn real-world applications, zk-SNARKs enable private transactions on blockchain platforms like Ethereum or zkSync. Users can submit transactions with proof but without exposing private information, like the transaction amount or involved addresses. The proof is verified by the blockchain, ensuring that only valid transactions are processed.Also, Explore | Diverse Use Cases and Applications ZK ProofsTools for zk-SNARKsCircom: A language used to define zk-SNARK circuits, representing complex transaction logic in a secure, privacy-preserving way.SnarkJS: A JavaScript library for compiling Circom circuits and generating zk-SNARK proofs.zkSync, Aztec Protocol: Blockchain platforms that support zk-SNARKs for private transactions.ConclusionIn this guide, we introduced the concept of zk-SNARKs and demonstrated their application in private transactions. While we used a simplified example with hashing, real-world zk-SNARKs use advanced cryptographic protocols to create and verify proofs that ensure transaction privacy.To integrate zk-SNARKs into blockchain systems, you'll need to define your transaction logic using Circom, compile it with SnarkJS, and then use the resulting proofs to verify transactions on-chain. While challenging, zk-SNARKs provide an exciting opportunity to create more secure and private blockchain applications.For those interested in learning more, diving deeper into Circom and SnarkJS will help you understand how zk-SNARKs can be practically applied to real-world blockchain systems. If you are interested in exploring the applications of zk-proofs and want to leverage it to build your project, connect with our skilled blockchain developers to get started.

Category: Blockchain Development & Web3 Solutions

Ankit Mishra

06 Feb 2025

How to Deploy a Distributed Validator Node for Ethereum 2.0 Deploying a distributed validator node for Ethereum 2.0 (Eth2) is a rewarding yet technically involved process. Eth2 uses the Proof-of-Stake (PoS) consensus mechanism, which relies on validators rather than miners. Distributed validator technology (DVT) allows multiple individuals or entities to run a validator node collaboratively, which enhances security, resilience, and decentralization. Here's a step-by-step guide to deploying a distributed validator node. For more about Ethereum or other blockchains for project development, explore our blockchain app development services.Why Use a Distributed Validator Node?In a traditional Eth2 setup, a validator is managed by a single entity, which introduces risks such as downtime or potential security breaches. By distributing responsibilities across multiple operators, DVT aims to create a more robust system. If one operator fails or is attacked, the network can still perform validations through other operators in the group, reducing the chances of penalties and maintaining higher uptime.PrerequisitesTo deploy a distributed validator, you need:1. Basic Understanding of Ethereum 2.0: Familiarity with staking, validation, and Eth2 consensus mechanisms.2. Hardware Requirements: A server setup with sufficient computing power, RAM, and storage.3. Networking Knowledge: Understanding of IP addresses, firewall configurations, and networking basics.4. Staking ETH: To activate a validator, you'll need to deposit 32 ETH. This amount is mandatory for staking in Eth2.5. Multi-Signature Wallet: A multi-signature (multi-sig) wallet, which is crucial for managing keys across different operators in a distributed setup.Also, Explore | Creating a Token Vesting Contract on Solana BlockchainStep 1: Select Distributed Validator Technology (DVT) SoftwareTo start, choose a DVT solution that meets your needs. Some popular ones include:- Obol Network: A project focused on making validator nodes safer and more robust by distributing them across different entities.- SSV Network: Short for Shared Secret Validator, SSV is an infrastructure protocol for DVT that splits validator keys across multiple operators.These solutions implement a cryptographic method that allows the validator key to be securely split and stored across several nodes. This prevents a single point of failure and improves fault tolerance.Step 2: Prepare the InfrastructureEach node operator in the distributed validator network needs to set up their hardware. Typical requirements include:- Processor: At least 4 CPUs (recommended 8).- RAM: 16 GB minimum.- Storage: SSD storage of at least 1 TB to handle the growing Ethereum blockchain data.- Network: A stable internet connection with a dedicated IP address is essential. Set up firewalls to protect your node from unauthorized access.Each participant in the distributed validator should have their server ready to deploy the DVT software, which will handle the responsibilities of validating transactions collectively.You may also like | Integrate Raydium Swap Functionality on a Solana ProgramStep 3: Configure Your Validator Keys with Multi-Signature SecurityIn a DVT setup, validator keys are divided using a cryptographic process that ensures no single operator has complete control over the validator. Multi-signature technology ensures that:- Each operator holds a “key share” rather than a full private key.- The validator operates only if a minimum number of key shares sign off on a transaction, ensuring redundancy.Using SSV, for example, the validator's private key is split into multiple parts (key shares), and each operator holds one share. The network uses a threshold signing scheme where, for example, at least three of five key shares are required to sign off on a transaction.Step 4: Set Up Ethereum 2.0 Client and DVT SoftwareNext, install Ethereum 2.0 client software (like Prysm, Lighthouse, or Teku) on each operator's server. Each client will run the Beacon node software, which connects to the Ethereum network.Then, install and configure the chosen DVT software (e.g., Obol or SSV). These systems will require you to:- Set up each node's communication and API endpoints.- Define the number of required signatures for a transaction to be valid (often called the “quorum”).- Connect your DVT system to your Ethereum client software to begin interacting with the Eth2 blockchain.Each operator will also need to provide their part of the private key (key share) into the DVT configuration. Be sure to follow security best practices to prevent unauthorized access to these key shares.Also, Read | How to Build a Solana Sniper BotStep 5: Fund the Validator and Initialize StakingOnce your distributed validator setup is configured and ready, it's time to fund your validator with 32 ETH. This step is irreversible, as the Ethereum deposited in the contract will remain staked for an extended period. You can initiate the staking process using the official Eth2 launchpad (https://launchpad.ethereum.org/).The launchpad will guide you through:- Generating a validator key.- Depositing 32 ETH into the official staking contract.- Activating your validator on the Eth2 network.Once your validator is active, it will start proposing and validating blocks as a part of the distributed validator setup.Step 6: Monitor and Maintain the Validator NodeDistributed validator nodes require continuous monitoring and maintenance:- Uptime Monitoring: Ensure each node's uptime is stable to avoid penalties from inactivity.- Performance Tracking: Use tools to monitor your node's performance, including the number of blocks proposed and validated.- Security Updates: Regularly update both the Ethereum client and DVT software to the latest versions to protect against security vulnerabilities.Some DVT networks, like SSV, offer built-in monitoring solutions. Alternatively, third-party services can help with detailed analytics and alerts to keep your distributed validator in optimal condition.Also, Check | How to Deploy a Smart Contract to Polygon zkEVM TestnetConclusionIn conclusion, deploying a Distributed Validator Node for Ethereum 2.0 not only contributes to the network's decentralization and security but also offers an opportunity for participants to earn rewards for their efforts. By following the outlined steps and best practices, you can effectively set up your node and play a vital role in the Ethereum ecosystem's transition to a more scalable and sustainable proof-of-stake model. Embrace this chance to be part of a transformative shift in blockchain technology and help shape the future of decentralized finance. For more about smart contract or Ethereum blockchain development for DeFi, dApps, and more, connect with our Solidity developers to get started.

Category: Blockchain Development & Web3 Solutions

Ankit Mishra

30 Oct 2024

How to Build a Solana Sniper Bot How to Build a Solana Sniper Bot (Complete Guide with Code)Introduction to Solana Sniper BotsSolana is widely used for building decentralized applications due to its high transaction throughput, low fees, and fast finality. These features make it a suitable platform for real-time, automation-driven tools like Solana sniper bots, crypto sniper bots, and Solana dex bots.A Solana sniper bot is designed to monitor the blockchain and automatically execute token purchases the moment liquidity is added to a decentralized exchange (DEX). This is especially valuable during new token launches or other time-sensitive events, where timing can significantly impact outcomes.This guide provides a step-by-step walkthrough for building a Solana token sniping tool, with a focus on Raydium's CLMM (Concentrated Liquidity Market Maker) pools. It covers key setup steps, core logic, and best practices for handling transactions efficiently and securely.Understanding the BasicsWhat is a sniper bot on Solana?A sniper bot on Solana is a tool that automatically buys tokens as soon as they become available on a decentralized exchange (DEX), such as Raydium, PumpFun, Jupiter, or Orca.To build a robust sniper bot, you need to understand Solana's ecosystem, including its RPC (Remote Procedure Call) API, smart contracts (also known as programs), and key technical components such as transactions and signatures.Key Variants of Solana trading bots.Solana sniper bot code: Custom-built scripts that developers can run using Node.js and Solana Web3 libraries.Pumpfun sniper bot: Specifically designed to snipe tokens the moment they go live on Pumpfun.Raydium sniper bot: Targets liquidity events on Raydium's AMM or CLMM pools.Solana liquidity sniper: Monitors all liquidity events across the chain, not tied to a specific platform.Solana memecoin bot: Optimized for fast-entry trades on low-cap meme tokens.Solana trading bot: Broader than sniping, it handles full buy/sell logic, often including stop-loss and take-profit setups.Why Use Sniper Bots on SolanaIf you've ever tried to manually buy a newly launched token on Solana, you know how fast things move by the time you've clicked "confirm", the price may have already pumped or the liquidity is gone. Sniper bots solve that.They monitor the blockchain in real time and execute a trade the instant liquidity is added to a token. No hesitation. No manual steps. This gives you a massive edge in early-stage opportunities like token launches, meme coin listings, or NFT-associated tokens.Solana is especially suited for sniper bots because of its high throughput, sub-second finality, and near-zero transaction fees. You can scan logs, catch pool creation events, and trigger swaps within milliseconds without breaking the bank.Whether you're a solo trader, bot developer, or automating a crypto strategy, sniper bots give you precision timing in a market where seconds mean everything.Common Use CasesToken LaunchesSay a new meme coin drops on PumpFun. Within seconds of liquidity being added, prices can jump 2x or more. A sniper bot lets you detect the pool creation and buy before the masses.Early-Stage SpeculationSome traders monitor wallets of known devs or influencers. If a known wallet creates a pool, the bot buys immediately, before the token appears on aggregators like Birdeye or Dexscreener.Community Alpha PlaysYou're in a private alpha group. Someone posts a contract address. Your bot is hooked to Telegram or Discord and instantly buys based on that input.Low Liquidity MonitoringSometimes devs quietly add small liquidity to test their token. A bot can watch for this pattern like pools created with just 0.5 SOL and get in before announcements go live.Re-entry on RelaunchesIf a token rug pulls and relaunches, some bots monitor the same dev wallet or reuse of token metadata. They auto-buy the "second chance" version before hype catches upRisks & Legal ConsiderationsSniper bots give you speed, but they come with serious technical and legal risks.Rug Pulls & HoneypotsMany tokens launched on Solana DEXs are scams. Some prevent selling after buying (honeypots). Others drain liquidity right after launch. Without proper filters, your bot becomes easy prey.False PositivesBots can misfire on low-liquidity or bait pools. If your logic isn't strict,checking metadata, LP amount, token supply - you'll waste funds or get stuck in illiquid tokens.Front-RunningCompeting bots are monitoring the same logs. Your transaction might get front-run or stuck in a failed block. You need good RPCs, retries, and priority fee strategies.Wallet Drain RisksStoring private keys in.env files on a VPS without protection? That's asking for trouble. A single server compromise can drain your wallet.Legal Grey AreasDepending on your country, automated trading, especially around token launches might fall into regulatory gray zones. Some jurisdictions treat this as front-running or market manipulation.Treat your sniper bot as a serious software considering all the legal aspects.PrerequisitesBefore starting, make sure you have the following in place:Development Environment: Install Node.js, npm, and the Solana CLI.Solana Wallet: Create a wallet using Phantom, Sollet, or any compatible wallet.RPC Endpoint: Get access to a Solana RPC endpoint to communicate with the blockchain.Basic Knowledge of JavaScript: The bot will be written in JavaScript, so some familiarity is needed.You may also like |How to Build a Grid Trading Bot | A Step-by-Step GuideStep 1: Setting Up the ProjectStart by creating a new Node.js project:mkdir solana-sniper-bot cd solana-sniper-bot npm init -yThen, install the necessary packages:npm i @raydium-io/raydium-sdk-v2 @solana/web3.js axios bn.js bs58Step 2: Setting Up Environment VariablesCreate a.env file in the project root to store sensitive information, such as your private key and RPC endpoint:PRIVATE_KEY=your_private_key_here SOL_RPC=https://api.mainnet-beta.solana.comStep 3: Create the CLMM Pool ListenerThis script listens to the Raydium CLMM program logs and detects when a new pool is created.// index.js import { Raydium, PoolUtils, TxVersion, } from '@raydium-io/raydium-sdk-v2' import { Connection, PublicKey, Keypair, } from '@solana/web3.js' import bs58 from 'bs58' import BN from 'bn.js' import 'dotenv/config' // === CONFIG === const RPC_URL = process.env.SOL_RPC const secretKey = bs58.decode(process.env.PRIVATE_KEY) const wallet = Keypair.fromSecretKey(secretKey) const connection = new Connection(RPC_URL, { commitment: 'confirmed' }) const SOL_MINT = 'So11111111111111111111111111111111111111112' const CLMM_PROGRAM_ID = 'CAMMCzo5YL8w4VFF8KVHrK22GGUsp5VTaW7grrKgrWqK' const BUY_AMOUNT_SOL = 0.01 const SLIPPAGE = 0.03Also, Read |Understanding the Impact of AI Crypto Trading BotsStep 4: Create the Buy Function (Auto Swap)async function buyWithClmm(poolId, tokenMint) { const raydium = await Raydium.load({ connection, owner: wallet }) const Pooldata = await raydium.clmm.getPoolInfoFromRpc(poolId) const poolInfo = Pooldata.poolInfo const poolKeys = Pooldata.poolKeys const clmmPoolInfo = Pooldata.computePoolInfo const tickCache = Pooldata.tickData const baseIn = tokenMint === poolInfo.mintA.address const inputAmount = new BN(Math.floor(BUY_AMOUNT_SOL * 1e9)) const { minAmountOut, remainingAccounts } = PoolUtils.computeAmountOutFormat({ poolInfo: clmmPoolInfo, tickArrayCache: tickCache[poolId], amountIn: inputAmount, tokenOut: poolInfo[baseIn ? 'mintB' : 'mintA'], slippage: SLIPPAGE, epochInfo: await raydium.fetchEpochInfo(), }) const { execute, transaction } = await raydium.clmm.swap({ poolInfo, poolKeys, inputMint: poolInfo[baseIn ? 'mintA' : 'mintB'].address, amountIn: inputAmount, amountOutMin: minAmountOut.amount.raw, observationId: clmmPoolInfo.observationId, ownerInfo: { useSOLBalance: true }, remainingAccounts, txVersion: TxVersion.V0, }) console.log('ðŸ“ Transaction prepared. Executing swap...', transaction) const { txId } = await execute() console.log(`âœ… Swap executed: https://explorer.solana.com/tx/${txId}`) }Step 5: Listen for New Pools and Trigger Swaplet isProcessing = false; async function listenForNewPools() { console.log('ðŸš€ Listening for new Raydium CLMM pools...') connection.onLogs( new PublicKey(CLMM_PROGRAM_ID), async (logInfo) => { if (isProcessing) return isProcessing = true try { const { signature, logs } = logInfo if (!logs.some(log => log.includes('CreatePool'))) { isProcessing = false return } const tx = await connection.getParsedTransaction(signature, { maxSupportedTransactionVersion: 0, }) if (!tx) { isProcessing = false return } for (const ix of tx.transaction.message.instructions) { if ( ix.programId?.toBase58?.() === CLMM_PROGRAM_ID && ix.accounts?.length >= 5 ) { const accounts = ix.accounts.map((a) => a.toBase58()) const tokenA = accounts[3] const tokenB = accounts[4] const poolId = accounts[0] let targetMint = null if (tokenA === SOL_MINT) targetMint = tokenB else if (tokenB === SOL_MINT) targetMint = tokenA else { console.log('âŒ Skipping non-SOL pair') continue } console.log('ðŸ†• New CLMM pool found! Token:', targetMint) await buyWithClmm(poolId, targetMint) break } } } catch (err) { console.warn('âš ï¸ Error:', err.message) } isProcessing = false }, 'confirmed' ) } listenForNewPools()For further reference, explore theRaydium SDK V2 Demo.Step 6: Testing the BotBefore deploying your bot on the mainnet, it's crucial to test it thoroughly on Solana's devnet. Modify your.env file to use the devnet RPC endpoint:SOL_RPC=https://api.devnet.solana.comAlso, Explore |How To Create My Scalping Bot Using Node.jsStep 7: Deployment and SecurityOnce the bot is ready, deploy it to a secure server:Use a VPS to ensure the bot runs continuously with minimal downtime.Secure Your Private Key: Always use environment variables or a secure vault service to store sensitive information.Real-World OptimizationsOnce your sniper bot is functional, it's not ready yet. Real-world trading on Solana is messy. You're racing against other bots, navigating scam tokens, and reacting to volatile conditions. This section covers the essential optimizations to make your bot safer, smarter, and more reliable.Filtering Bad Tokens (Pre-Buy Checks)Minimum Liquidity ThresholdAvoid pools with low initial liquidity. Rugs often launch with under 1 SOL to bait bots. Set a minimum liquidity requirement before proceeding with any buy logic.if (poolLiquidityInSol < 1) return;Token Metadata ValidationCheck that the token has a valid symbol, name, and decimal count. Tokens with missing or weird metadata are red flags.if (!tokenMeta.symbol || tokenMeta.symbol.length > 10) return;Token BlacklistMaintain a list of known scam tokens or deployers and skip them instantly.if (BLACKLIST.includes(targetMint)) return;Optional: Simulate Swap or Check RouteUsesimulateTransaction() to preview the swap or query a route via Jupiter. If it fails or no route exists, don't buy.Delay-Based Decision MakingIntroduce a short delay (e.g., 2–5 seconds) after pool creation. This gives time to detect sketchy behavior like immediate liquidity removal or fake metadata updates.Using Multiple RPCs (Failover Strategy)RPC List ConfigurationSet up a list of RPC endpoints (e.g., Helius, Triton, QuickNode). Load them from.env or config file.const RPCS = [RPC1, RPC2, RPC3];Retry and Fallback MechanismIf one RPC fails, retry with another. Rotate through the list to maintain uptime and reduce failure points.for (const rpc of RPCS) { try { const conn = new Connection(rpc); // test or send tx break; } catch (err) { continue; } }Logging and MonitoringEvent LoggingLog what matters: detected pools, attempted buys, successful swaps, token details.console.log(`[POOL] ${poolId} | Token: ${tokenMint}`);Error TrackingUsetry/catch around every major async operation and log failures with stack traces.console.error(`[ERROR] ${err.message}`);Optional IntegrationUse tools like:PM2 to auto-restart the bot on crashWinston for structured loggingCloud services like Logtail or Datadog for remote log collectionOptional: Sell Logic and Exit StrategyTake-Profit ThresholdSet a target percentage (e.g., 2x from entry) and auto-sell when the token reaches that price.if (currentPrice >= buyPrice * 2) { await sell(); }Stop-Loss SetupProtect your downside. If price drops below a defined floor, exit.if (currentPrice <= buyPrice * 0.7) { await sell(); }Time-Based ExitsIf the price doesn't move after a certain duration (e.g., 3 minutes), exit anyway to avoid being stuck.Future ExtensionsRe-entry after dipsMulti-wallet rotation for stealthDiscord/Telegram alert triggersToken sell simulation before actual sellThese optimizations turn your bot from a proof-of-concept into something stable and reliable in real conditions. You don't need them all on day one—but without them, you're flying blind.Troubleshooting & Common ErrorsBuilding a sniper bot is one part logic, one part infrastructure. Once you go live, unexpected failures are common. Here's what usually goes wrong—and how to fix it without guessing:Bot doesn't detect new poolsIf the bot isn't picking up events, double-check you're subscribed to the correct program ID (e.g. Raydium CLMM). Also verify you're using theconfirmed orfinalized commitment level—notprocessed, which can miss orphans.Transaction isn't sent or gets stuckThis typically means your RPC is rate-limited or too slow. Use a premium provider (Helius, Triton, QuickNode) and avoid free shared endpoints. Also, wrap yoursendTransaction logic with retry and timeout handling.Buy transaction fails or revertsMost often caused by too-tight slippage, incorrect token metadata, or race conditions where the pool state changes before execution. Validate slippage settings and simulate trades with mock inputs before going live.Private key or wallet errorsIf the script throws on wallet load, your key may be malformed or improperly encoded. Ensure it's base58 and single-line (no[] or extra JSON formatting). Load it usingbs58.decode() and test it with a small transfer.Bought tokens but can't sellThis is likely a honeypot. To avoid it, always validate:Token has a valid symbol and nameSufficient liquidity (avoid pools under 1 SOL)No known blacklist flags or scam patternsThe bot crashes randomlyUsetry/catch blocks around all async calls—especially in listeners. Log every error. Run the bot with a process manager like PM2 or Docker health checks so it auto-restarts on failures.Logs show “CreatePool” but no buy happensCheck if yourisProcessing flag is stuck or the transaction failed silently. Add more detailed logging per step, and track execution time for each transaction to find where it stalls.Official Solana & Raydium DocsSolana Developer Docs – Core concepts, transaction structure, RPC methods, and program architecture.Solana Cookbook – Developer-friendly guides for common Solana tasks.Raydium SDK v2 – Reference for CLMM pool interaction, swap logic, and liquidity provisioning.ConclusionBuilding a sniper bot on Solana requires a solid grasp of how the blockchain works, especially its transaction model, smart contract architecture (programs), and RPC interactions. This guide walked through each step: from setting up the environment, listening to liquidity events, executing token swaps, and handling real-time conditions.Before moving to mainnet, it's essential to thoroughly test your bot on devnet. This helps catch logic errors, slippage issues, or RPC failures without risking real assets. Always secure your wallet keys and credentials using proper secret management practices.With proper filtering, real-time logging, and infrastructure improvements, this bot can become a reliable component in automated crypto trading workflows. Whether you're experimenting, building trading tools, or exploring automation at scale, Solana provides the speed and flexibility needed to execute on-chain trades with minimal delay.

Category: Blockchain Development & Web3 Solutions

Ankit Mishra

23 Aug 2024

How to Build a Crypto Portfolio Tracker In the rapidly evolving world of cryptocurrencies, keeping track of your investments can be challenging. A crypto portfolio tracker makes a difference in how you oversee your resources, track execution, and make educated choices. This guide will walk you through building a crypto portfolio tracker from scratch, enabling you to stay on top of your investments with ease. If you are looking for more services related to crypto, visit our crypto development services.Why Build a Crypto Portfolio Tracker?With hundreds of cryptocurrencies available, each with fluctuating values, a portfolio tracker offers several benefits:- Centralized Management: Monitor all your assets in one place.- Performance Tracking: Analyze your investment performance over time.- Informed Decisions: Access data to make better investment choices.- Customization: Tailor the tracker to meet your specific needs.You may also like | How to Create a Simple Crypto Clicker GameStep 1: Plan Your TrackerBefore diving into the code, outline what features you want in your tracker. Common features include:- Portfolio Overview: Display total value, individual asset values, and their percentage of the total portfolio- Transaction History: Record buy, sell, and transfer transactions- Price Alerts: Notify users when asset prices reach certain thresholds- Performance Metrics: Show gains/losses over various time framesStep 2: Choose Your Tech StackSelect a tech stack that suits your needs. Typical Stack for a Web-Based Tracker:- Frontend: React.js for a responsive user interface- Backend: Node.js with Express for handling API requests- Database: MongoDB for storing user data and transaction history- APIs: CoinGecko API for real-time cryptocurrency dataAlso, Explore | Exploring Leverage Trading with CryptocurrenciesStep 3: Set Up the BackendStart by setting up your backend with Node.js and Express. Install the necessary packages:npm init -y npm install express mongoose axiosCreate an `index.js` file to configure your server:const express = require('express'); const mongoose = require('mongoose'); const axios = require('axios'); const app = express(); app.use(express.json()); mongoose.connect('mongodb://localhost:27017/crypto-portfolio', { useNewUrlParser: true, useUnifiedTopology: true, }); const portfolioSchema = new mongoose.Schema({ userId: String, assets: Array, transactions: Array, }); const Portfolio = mongoose.model('Portfolio', portfolioSchema); app.get('/portfolio/:userId', async (req, res) => { const portfolio = await Portfolio.findOne({ userId: req.params.userId }); res.json(portfolio); }); app.listen(3000, () => console.log('Server running on port 3000'));Also, Check | Create Your Own Cryptocurrency with JavaScriptStep 4: Integrate Cryptocurrency DataFetch real-time cryptocurrency data using the CoinGecko API. Create a function to get the latest prices:const getPrices = async (coins) => { const response = await axios.get(`https://api.coingecko.com/api/v3/simple/price?ids=${coins.join(',')}&vs_currencies=usd`); return response.data; };Step 5: Build the FrontendSet up your React front end. Install React and create a new project:npx create-react-app crypto-portfolio-tracker cd crypto-portfolio-tracker npm startCreate a component to display the portfolio:import React, { useEffect, useState } from 'react'; import axios from 'axios'; const Portfolio = ({ userId }) => { const [portfolio, setPortfolio] = useState(null); useEffect(() => { const fetchPortfolio = async () => { const response = await axios.get(`http://localhost:3000/portfolio/${userId}`); setPortfolio(response.data); }; fetchPortfolio(); }, [userId]); if (!portfolio) return Loading...; return ( Portfolio Overview {portfolio.assets.map((asset) => ( {asset.name}: ${asset.value} ))} ); }; export default Portfolio;Also, Discover | How to Create a Web3 Crypto WalletStep 6: Add Transactions and Performance MetricsExtend your backend and front end to handle transactions and calculate performance metrics. Update the schema to include transactions:const transactionSchema = new mongoose.Schema({ userId: String, type: String, coin: String, amount: Number, date: Date, }); const Transaction = mongoose.model('Transaction', transactionSchema);Create endpoints to add transactions and calculate performance:app.post('/transaction', async (req, res) => { const transaction = new Transaction(req.body); await transaction.save(); res.status(201).send(transaction); }); app.get('/performance/:userId', async (req, res) => { const transactions = await Transaction.find({ userId: req.params.userId }); const performance = calculatePerformance(transactions); res.json(performance); }); const calculatePerformance = (transactions) => { // Implement your logic to calculate performance metrics };Step 7: Test and DeployThoroughly test your application to guarantee all highlights work as anticipated. Once satisfied, deploy your tracker using services like Heroku or Vercel.You may also like | An Overview of Crypto Sniper BotsConclusionBuilding a crypto portfolio tracker empowers you to efficiently manage and optimize your cryptocurrency investments. By following this guide, you've learned how to gather real-time data, implement essential features, and create a user-friendly interface for tracking your assets. Whether you're an individual investor or a financial advisor, a well-designed portfolio tracker helps you stay informed and make better investment decisions. As the crypto market continues to evolve, your tracker will be an invaluable tool in navigating the dynamic landscape, ensuring you stay ahead of the curve and maximize your returns. If you are looking to build an advanced crypto portfolio tracker, consider connecting with our crypto developers.

Category: Blockchain Development & Web3 Solutions

Ankit Mishra

16 Jul 2024

How to Build a Real-Time Wallet Tracker Building a crypto wallet tracker is a crucial step for anyone looking to stay on top of their digital asset portfolio. A crypto wallet tracker enables users to monitor the value, transactions, and overall performance of their cryptocurrencies in real-time, all from a single, easy-to-use platform. Whether you're a developer aiming to create a new tool or a crypto enthusiast wanting to manage your portfolio more effectively, understanding the key steps and technologies involved in building a crypto wallet tracker will set you on the right path. In this guide, we'll explore the essential features, development process, and best practices for creating a powerful and user-friendly crypto wallet tracker using crypto wallet development. Before diving into the technical details, let's explore the benefits of a real-time wallet tracker.Instant Updates: You can check your spending and financial health instantly and on the go.Better Budgeting: Real-time expenditure monitoring can easily be done against the spending plan.Fraud Detection: Originate methods to identify such transactions, and act accordingly instantly.Convenience: Have full account access to your financial information from the palm of your hand via your Android phone, iPhone, tablet, or PC.Getting Started: Planning Your Wallet TrackerDefine Your GoalsWhen using your wallet tracker, what is its purpose, or what do you wish to accomplish? Common features include:Transaction trackingBalance updatesBudget managementLow balance warnings or notifications of suspicious activityRead Also | How to Sign Ledger using Solana Wallet AdapterChoose Your Technology StackHere's a suggested tech stack:Frontend: React. js or Vue. js to designing an interface that can react to changes in size and shape.Backend: Node. js with Express. This function is used for the handling of API requests using js.Database: MongoDB to handle data related to customers and transactions.Real-Time Updates: Socket. io for continuous communication between the frontend and the backend usually through the use of messages.Design Your Data ModelIn this worksheet, the data structure or schema you will have to define is not defined clearly. For a wallet tracker, you'll need at least:For a wallet tracker, you'll need at least:Users: Subscribing details, User credentialsAccounts: One has to differentiate between a wallet or bank account of the victim or a non-victim.Transactions: Specific information about each transaction, especially the monetary value, the date when the transaction took place, and where the transaction occurred when it is.Budgets: User-defined budgets for different categories Whether for business or personal use, it is common that individuals need to create a budget plan for different categories.Building the Real-Time Wallet TrackerStep 1: Setting Up the Backend1. Initialize the Node.js Projectsudo mkdir wallet-tracker cd wallet-tracker npm init -y2. Install Dependenciesnpm install express mongoose socket.io body-parser3. Create the Server const express = require('express'); const mongoose = require('mongoose'); const http = require('http'); const socketIo = require('socket.io'); const bodyParser = require('body-parser'); const app = express(); const server = http.createServer(app); const io = socketIo(server); mongoose.connect('mongodb://localhost:8080/walletTracker', { useNewUrlParser: true, useUnifiedTopology: true }); app.use(bodyParser.json()); // Define your schemas and routes here server.listen(3000, () => { console.log('Server is running on port 3000'); }); io.on('connection', (socket) => { console.log('New client connected'); socket.on('disconnect', () => { console.log('Client disconnected'); }); });Step 2: Setting Up the Database ModelsCreate models for Users, Accounts, Transactions, and Budgets.const mongoose = require('mongoose'); const userSchema = new mongoose.Schema({ username: String, password: String, email: String, }); const accountSchema = new mongoose.Schema({ userId: mongoose.Schema.Types.ObjectId, name: String, balance: Number, }); const transactionSchema = new mongoose.Schema({ accountId: mongoose.Schema.Types.ObjectId, amount: Number, date: Date, category: String, description: String, }); const budgetSchema = new mongoose.Schema({ userId: mongoose.Schema.Types.ObjectId, category: String, limit: Number, spent: Number, }); const User = mongoose.model('User', userSchema); const Account = mongoose.model('Account', accountSchema); const Transaction = mongoose.model('Transaction', transactionSchema); const Budget = mongoose.model('Budget', budgetSchema); module.exports = { User, Account, Transaction, Budget }; Step 3: Implementing Real-Time UpdatesIntegrate Socket.io for real-time updates.io.on('connection', (socket) => { console.log('New client connected'); socket.on('newTransaction', async (data) => { const transaction = new Transaction(data); await transaction.save(); const account = await Account.findById(data.accountId); account.balance += data.amount; await account.save(); io.emit('updateBalance', { accountId: data.accountId, newBalance: account.balance }); }); socket.on('disconnect', () => { console.log('Client disconnected'); }); });Step 4: Building the Frontend1. Create a React Appnpx create-react-app wallet-tracker-frontend cd wallet-tracker-frontend2. Install Socket.io Clientnpm install socket.io-client3. Connect to the Backendimport React, { useEffect, useState } from 'react'; import socketIOClient from 'socket.io-client'; const ENDPOINT = "http://localhost:3000"; const socket = socketIOClient(ENDPOINT); function WalletTracker() { const [balance, setBalance] = useState(0); useEffect(() => { socket.on('updateBalance', (data) => { if (data.accountId === YOUR_ACCOUNT_ID) { setBalance(data.newBalance); } }); return () => socket.disconnect(); }, []); return ( <div> <h1>Wallet Tracker</h1> <p>Current Balance: ${balance}</p> </div> ); } export default WalletTracker;Step 5: Testing and Deployment1. Test Your ApplicationWhen developing a website, ensure that each implemented feature is working as provided and debug any issues that may be noted.2. Deploy Your ApplicationThe backend should be deployed by using services such as Heroku while the frontend deploys by the usage of Netlify.Read Also | Create a Basic Smart Wallet Using the ERC4337 StandardConclusionIn order to make a wallet tracker, one needs to ensure that there is a server side to handle data and update the database in real-time or near real-time to provide the updated data to the client side, which will be refreshed in near real-time to display the data to the users. When done following the guidelines in this guide, one can develop a tool that efficiently manages personal finances. A real-time wallet tracker, simple for use or complex as a sample of your coding abilities, is a very functional tool for a wide variety of purposes. Contact our blockchain developers for expert services in crypto wallet development.

Category: Blockchain Development & Web3 Solutions

Ankit Mishra

29 May 2024

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Ankit Mishra

26 Sep 2023

Since 2017, we have been utilizing our extensive expertise in blockchain technology to help businesses, both large and small, maximize their efficiency.

Ankit Mishra

12 Aug 2023

Automation and Efficiency in Real-Estate Settlement via Smart Contracts The settlement or closing process in traditional real estate is a dynamic operation involving a great deal of time, energy, and attention. The land transfer process stayed the same for decades. However, smart contracts Development with Blockchain for real-estate offers real change and an efficient alternative to the settlement process. Real Estate Settlement The closing of real estate is the transition of a real-estate title from a seller to a buyer according to the selling contract. In the process, the buyer gets the property title and the seller gets the money. There are, however, various settlement prerequisites and expenses that make it more complicated than purchasing something at a supermarket. The sales contract itself accounts for both requirements and costs. Many real estate closings use an escrow agent's services, which acts as a third party that both the buyer and the seller must trust. An escrow manages the activities between a buyer and a seller through an agreement of sale and purchase. However, in typical contexts, this trust is always constrained and can be compromised. The cost of closing the mortgage varies from 3 percent to 6 percent. Real Estate Settlement | What are the Challenges Trustless automation with protection has tremendous potential to offer benefits like increased production, improved resource efficiency, and enhanced product and service offering. Most sectors have already reaped the benefits of automation, from e-commerce to electronics manufacturing. Yet the real estate industry has been an exception. Besides, a process of purchasing property is based on three factors, including paperwork (document signing), transfer of payment, and transfer of ownership. Too many parties currently have to be involved in the property closing process and each of these parties uses their software. Also, escrow companies help to build trust between traditional real estate transactions, but with a price. Also, they remain vulnerable to human actions (such as error and greed). To simplify real-estate settlement without using an escrow, one single place is required where a buyer, a seller, agents, and a title company can meet. Therefore, in a transaction, it needs a buyer and a seller to create and guarantee trust. Also, read | Blockchain Smart Contracts in Real Estate: A Long-Awaited Breakthrough Can Smart Contracts substitute Escrow from Real-Estate Settlement Smart blockchain contracts have emerged as a challenge to the Escrow agencies' life. These are documents that are stored on the blockchain and translated into computer code. Smart contracts immediately execute a contract upon fulfillment of pre-defined terms, without having a middleman, leading to a quick settlement and closing. Once all parties sign the agreement digitally when carrying out their duties, a smart contract immediately releases the deed to the buyer and the money to the seller. Therefore, the escrow fees are practically removed. It is not just a philosophical theory, though. The cycle of substituting Escrow businesses for smart contracts is well underway. The automation of acquisitions of property by settlement procedures is a fact backed by successful cases. How it works - An Imaginary Scenario On the blockchain, we'll record and execute a real estate purchase. For example, Bob buys an apartment in his American home in Manchester, England, while he lives overseas. The property payment may be completed with Ethereum's Ether ( ETH) and payable to a smart contract. Bob signs a purchasing agreement, sends ETH to a particular address and awaits the seller to submit the final signed document with a notary. Then, the smart contract executes the rest of the transaction by giving the respective parties both the ETH and the deed. All this while blockchain records all aspects of the contract permanently. In the future, if any of the contracting parties make a claim, the data on the blockchain would be publicly available which can be used as proper evidence. There was no escrow used for the transaction in this case. Surely, finding a seller to agree to accept payment in crypto and process the transaction through a smart contract program can be very challenging. Nonetheless, this hypothetical use case shows to some degree that smart contracts are entirely capable of handling the intermediary position that Escrow companies undertake. Also, read | Applications of Smart Contracts in Today's Businesses Can Smart Contracts go Mainstream Although using cryptocurrency has occurred to this use case of property transactions, there are more secure alternatives that might attract more traditional real estate agencies. The primary issue with executing any cryptocurrency transaction is the volatility issue. Since Bitcoin, Ethereum, and other top coins can easily change 15 percent in a single day, many are uncomfortable taking chances on big transactions like real estate purchases. Smart contracts using fiat money are entirely feasible and gain popularity due (at least for now) to the relative stability of fiat. What’s next Envision a society in which real estate can be purchased digitally instantly, conveniently, and securely. Through replacing tedious and repetitive labor with computer protocols, real estate practitioners will free up their resources to take on more specialized job opportunities. Automation is no longer impossible in the real estate transaction phase. It is a working concept in which companies like Oodles are working and constantly improving. We understand the technology's potential and therefore, create settlement protocols that are backed by smart contracts that can eventually achieve broad acceptance.

Ankit Mishra

21 Jul 2023

Ankit Mishra (Backend-Sr. Associate Consultant L2 - Development)

Ankit Mishra
(Sr. Associate Consultant L2 - Development)

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Ankit Mishra (Backend-Sr. Associate Consultant L2 - Development)

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Ankit Mishra
(Sr. Associate Consultant L2 - Development)