RCS Messaging API & Microservice Integration for Enterprise Communication Platform

@sasaprogramer21

Designing high-throughput messaging systems and CPaaS-style APIs with strong reliability guarantees is something I’ve implemented before. Systems operating at 1K+ TPS require careful queue architecture, stateless API design, and idempotent message processing to ensure zero message loss. I’ve built backend platforms with scalable REST APIs, webhook delivery pipelines, and distributed queue workers where latency, throughput, and observability are critical. Handling burst loads and maintaining consistent delivery reporting requires a well-structured message lifecycle and resilient retry strategy. My approach would be to extend your existing service with a stateless API layer capable of horizontal scaling, backed by a durable queue system using Dragonfly for high-performance message dispatch. Worker services will process campaigns asynchronously, ensuring enqueue latency stays under target thresholds while maintaining delivery guarantees. Webhook processing will handle DLRs and inbound messages with idempotent event processing to avoid duplication. The architecture will also include integration connectors for CRM platforms like MoEngage, Webengage, and CleverTap, designed as modular adapters so additional integrations can be added easily. Monitoring will include TPS metrics, queue lag, worker throughput, and failure alerts, with structured logging and dashboards to track performance and reliability.

@nadeeshancooray

With over six years of experience in software architecture, I possess the necessary skills to tackle your complex RCS Messaging API and Microservices Integration project. Proficient in backend API development, I am adept at designing robust database schema setups that ensure seamless integration capabilities, scalability and repeatability. Previously, I have dealt with building stateless APIs and deploying queue workers to scale independently, mitigating database read/write contention - all in line with your mentioned horizontal scaling expectations. On the frontend, my familiarity with various CMS systems will provide a smooth path for integrating existing services like MoEngage, Webengage, CleverTap and future ones efficiently. Additionally, as a skilled React developer I can effectively manage the public API endpoints for sending campaigns, managing templates, fetching reports and implement webhook support as per your needs. Monitoring the application is equally important to me thus TPS tracking,Queue lag - I have tracked it all.

@nicolasalexandro

Hey — saw your post about the RCS Messaging API and microservice integration for your enterprise CPaaS platform. With the TPS, SLAs, and zero message loss requirement, the real pain point here is making the queue + worker architecture truly stateless and scalable without database contention under burst loads. Quick question before I suggest an approach: Have you already picked the tech stack for the microservice (language/framework + Dragonfly client), or is that still open? I’ve designed and implemented high-TPS messaging and webhook pipelines before, with strict SLAs, idempotent retries, and independent worker scaling on top of Redis/Redis-compatible queues. If you share your existing service repo link and any current architecture diagram, I can review it and tell you how I’d extend it cleanly without breaking your current platform.

@Shrutibimpl

Hello, I have a few queries regarding the enterprise CPaaS extension. 1) Is the existing main service built on a specific framework like Node.js or Python? 2) Do you have an existing monitoring stack like Prometheus or Grafana for the dashboard metrics? 3) Are there specific security certifications or compliance standards I need to follow for the database schema? I will develop the CPaaS extension by building scalable API endpoints and a robust webhook system to handle high-volume message traffic. I will implement a high-speed in-memory queue, specifically using Dragonfly as requested, to manage the burst loads of up to 3000 TPS without any data loss. The integration layer will be designed to connect seamlessly with MoEngage, CleverTap, and other specified CRMs using modular adapters for easy expansion. I will ensure the architecture is stateless for independent horizontal scaling of workers and the API. My implementation will include idempotent retry logic to guarantee reliability and a monitoring setup to track real-time metrics like queue lag and throughput. I will push the completed code directly to your GitHub repository and provide the necessary scaling and recovery guides. Thanks, Bharat

@SmartCodeDev

Hello client, I can architect and develop your **enterprise-grade CPaaS extension**, including backend API endpoints, webhooks, database schema, and queue/messaging infrastructure. The system will integrate seamlessly with your existing service and be built for high performance, reliability, and scalability. All components will be optimized for low latency, high throughput, and zero message loss, with full observability, monitoring, and security mechanisms in place. I will also provide clear documentation, including architecture diagrams, deployment guidance, and operational runbooks, delivered via the designated GitHub repository. Looking forward your response. Thank you.

@KTECH2411

You need an enterprise-grade backend extension that can handle high-throughput campaign APIs, durable queue processing, webhook workflows, and seamless CRM integrations without disrupting the existing platform. I can build a stateless, horizontally scalable architecture with idempotent retries, Dragonfly-backed queuing, webhook/API performance tuning, and clear observability/security layers so it meets your TPS, SLA, and zero-loss expectations. I’ve worked on backend systems involving REST APIs, queue-driven microservices, database design, and production-grade scaling with clean GitHub-based delivery and documentation. I’m ready to review the SOW, work directly in your repo, and start implementing immediately.

@Lincolnwhiz

Having built high-performing web applications and platforms for a range of clients in different industries, I understand the importance of system reliability and security. My experience with building and scaling stateless APIs with independent queue workers is aligned with your requirement for horizontal scalability. Additionally, my knowledge in database management will allow me to create an effective solution for mitigating any potential read/write contention. I believe my approach of identifying and understanding your business goals before starting the development process aligns strongly with your requirements. My commitment to clean, scalable code not only delivers reliable solutions but also ensures that the system remains flexible for future updates or integrations. With me on board, you can trust in a long-term strategy rather than quick fixes. Let's work together to build a powerful RCS Messaging API & Microservice Integration for your enterprise communication platform!

@MuhammadAsad108

✔ I deliver 100% work — 99.9% is not for me. ✔ Workflow Diagram Requirements Analysis ⟶⟶ Database Schema & Queue Architecture ⟶⟶ API & Webhook Development ⟶⟶ Integration Layer Implementation ⟶⟶ Queue Worker & Messaging Pipeline Setup ⟶⟶ Monitoring, Security & Observability ⟶⟶ Documentation & Final Delivery Key Highlights ✔ Enterprise-grade CPaaS backend — scalable API and webhook service designed to handle 500–1,000 TPS steady load, with bursts up to 3,000 TPS gracefully. ✔ Public API endpoints — manage campaigns, templates, and reporting with fast, reliable responses. ✔ Webhook support — delivery receipts (DLRs), incoming messages, and user replies processed reliably. ✔ Integration layer — pre-built connectors for MoEngage, WebEngage, CleverTap, and easy addition of future CRM integrations. ✔ Queue & messaging system — Dragonfly queue configured with <200 ms enqueue latency, <1 sec worker dispatch, and idempotent retries to ensure zero message loss. ✔ Horizontal scalability — stateless APIs, independently scalable queue workers, and strategies to mitigate database contention. ✔ Monitoring & observability — logging, alerts, TPS tracking, queue lag monitoring, API response times, and failure rate dashboards.. ✔ Documentation — comprehensive architecture diagrams, API usage guides, deployment runbooks, and configuration instructions. Best Regards, Asad Backend & Cloud Architect | High-Performance APIs | CPaaS & Microservices Specialist

@larasatik4

Hi, I’ve read your project description and I’d be happy to help build this extension for your platform. I have experience developing scalable backend systems, APIs, webhook services, and queue-based messaging platforms, so working with high request volumes and reliable delivery pipelines is something I’m comfortable with. I can develop the public APIs for campaigns, templates, and reports, along with webhook support for delivery receipts and incoming messages. I’ll design the backend and database to support high performance and horizontal scaling, and configure the Dragonfly queue with worker scaling to handle normal loads and burst traffic without message loss. I can also implement integrations for platforms like MoEngage, WebEngage, and CleverTap, while keeping the system flexible for future integrations. I’m comfortable working directly with your GitHub repository and building this as an extension so it integrates smoothly with your existing service. I will also provide clear documentation for the architecture, API usage, deployment, monitoring, and security setup. Happy to discuss the details further. Thanks!

@enocki8

Hello, Your CPaaS extension requires high throughput, reliability, and a scalable microservice architecture, and I would be excited to help design and implement this system. I’m a backend engineer experienced in high-performance API development, distributed systems, and messaging pipelines. I have built scalable services using Node.js, Python, and Go, with stateless API architectures that can scale horizontally across cloud environments such as Amazon Web Services and Google Cloud. For your requirements, I would design a microservice-based CPaaS layer that includes: • High-throughput REST APIs capable of sustaining 1,000+ requests/sec with burst tolerance through durable queueing. • Reliable messaging using DragonflyDB for queue management and worker pipelines. • Stateless API nodes with independent worker scaling to maintain dispatch latency under SLA limits. • Idempotent retry mechanisms and persistence checks to ensure zero message loss. • Webhooks for delivery receipts and inbound messages with sub-2-second callback processing. I will also provide complete documentation, including architecture diagrams, integration guidelines for CRMs like MoEngage and CleverTap, monitoring dashboards, security configuration, and a deployment runbook. I’m comfortable working directly with your GitHub repository and delivering in structured milestones. I’d be glad to discuss the architecture and start immediately. Best regards, Enoch

@mdsajidurr4

Hi, I can do your job. I checked your document. Let's discuss in details. I have over 13 years of experience in software development and i can do your job better.

@workwithsubarna

Hi, let’s get this job done. I have gone through your pdf and i think, i can complete this. Subarna S

@amaank66

Your requirement for a high-throughput CPaaS extension service is clear, and I can architect and implement a scalable backend API layer with queue-driven processing, webhook support, and enterprise-grade reliability that integrates cleanly with your existing platform. The system will be designed with stateless API services (Node.js or Go) behind a scalable gateway, ensuring horizontal scaling for 500–1,000 requests/sec with burst handling up to 3,000 TPS. Message processing will run through a Dragonfly/Redis-based durable queue with worker pools, ensuring enqueue latency under 200ms and dispatch latency below 1 second under steady load. I will implement public APIs for campaign sending, template management, and reporting, along with webhooks for delivery receipts (DLRs) and incoming messages. The architecture will include idempotent retry logic, queue durability verification, and graceful failure recovery to guarantee zero message loss. The integration layer will support MoEngage, WebEngage, CleverTap, and future CRM connectors using a modular adapter structure. Monitoring will include TPS tracking, queue lag metrics, worker throughput, API latency monitoring, and failure alerts, integrated with centralized logging and dashboards. Best regards, Amaan Khan L. (CUBEMOONS PVT.)

@Cmonosoft

Hi there, I can develop the required API layer, webhook system, and database architecture as an extension to your existing platform while maintaining clean integration with the current GitHub repository workflow. The backend will include public API endpoints for campaign sending, template management, and reporting, along with webhook support for delivery receipts and incoming user replies. The system will be designed to sustain 500 to 1,000 requests per second under normal load and handle burst traffic up to 3,000 TPS using a reliable queue based pipeline with Dragonfly. Stateless API services will allow horizontal scaling, while independently scalable workers will process queued campaigns efficiently. Idempotent retry logic and durable queue persistence will ensure zero message loss and reliable delivery handling. Integration connectors will be developed for MoEngage, WebEngage, CleverTap, and designed in a modular way so additional CRM integrations can be added easily later. Let's chat and discuss more! Best regards. Saurabh

@TungC86

Hello, Your requirements align with building a high-throughput CPaaS messaging service, and I have experience designing scalable API systems with queue-based architectures and webhook pipelines. I can develop this as a modular extension to your existing platform, ensuring seamless integration while supporting enterprise performance requirements. Implementation approach: • Build stateless REST APIs for campaigns, templates, and reporting • Implement webhooks for delivery receipts (DLR) and incoming messages with idempotent retry logic • Design a Dragonfly/Redis queue pipeline capable of sustaining 500–1000 TPS and handling 3000 TPS bursts with reliable queuing • Ensure enqueue latency <200ms and worker dispatch <1s under steady load • Develop connector architecture for MoEngage, WebEngage, CleverTap, allowing additional integrations later • Implement monitoring for TPS, queue lag, worker throughput, API latency, and failure alerts The system will support stateless API scaling, independent worker scaling, durable queue processing, and zero message loss guarantees. Deliverables include architecture diagram, API documentation, deployment runbook, queue configuration guide, monitoring setup, and security configuration. All work will be committed to your GitHub repository as requested. Best regards, Tung C.

@Hemantt841

Hello, I see you need a robust RCS Messaging API and microservice integration designed for an enterprise CPaaS platform with high throughput and scalability. Your focus on seamless extension to an existing service and strict performance SLAs really stood out to me. You require backend API development with public endpoints for campaigns, templates, and reports, plus webhook support for delivery receipts and incoming messages. The system must sustain 500–1,000 TPS normally, burst up to 3,000 TPS, and include connectors for CRMs like MoEngage and CleverTap. Additionally, the solution demands careful queue processing, horizontal scaling, and zero message loss with idempotent retries. I have developed similar microservices integrating RESTful APIs with queue systems, ensuring stateless horizontal scaling and zero-loss message delivery. For one project, I built a messaging backend with webhook support, rate limiting, and monitoring dashboards, meeting sub-second latency and handling thousands of TPS. I also designed database schemas optimized for write contention and implemented secure API authentication. I can deliver the fully documented microservice, including architecture diagrams and deployment runbooks, within 4 weeks. Let’s discuss how to align this with your GitHub workflow and integration needs.

@hrasel2003

Hello, I can develop the high-performance backend API and queue-based messaging system for your CPaaS platform extension. I have experience designing scalable microservice architectures with high-throughput APIs, webhook handling, and queue processing. Approach • Backend: Node.js (Fastify/Express) or Go for high TPS performance • Queue: Dragonfly / Redis-based queue with durable persistence and retry logic • Database: PostgreSQL with optimized indexing and read/write separation • Architecture: Stateless APIs + horizontally scalable workers to handle 1k+ TPS with burst up to 3k TPS Features • Public APIs for campaigns, templates, and reporting • Webhooks for DLRs and inbound messages • CRM connectors (MoEngage, WebEngage, CleverTap) with extendable integration layer • Queue durability, idempotent retries, and zero message loss strategy • Monitoring dashboards for TPS, queue lag, worker throughput, and failures I will also provide architecture diagrams, API documentation, deployment guide, and monitoring setup and push all code to your GitHub repository. Best regards, Rasel Hossen

@rishus110

Hello, I’m Rishu Singh, a Full-Stack Developer with 6+ years of experience building fast, modern websites and mobile apps. I help businesses improve their websites by making them faster, more attractive, and user-friendly. Skills: HTML, CSS, JavaScript, React, Vue, PHP (Laravel), Node.js, Python, MySQL, MongoDB. Why work with me? • Clean and scalable code • Fast communication • On-time delivery • Long-term support If you’d like, I can review your website and share a few quick suggestions to improve performance and design.

@bilal0356

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Cloud Computing, Software Architecture, Backend Development, Documentation, RESTful API, Security, Database Design, API Development, Microservices, Performance Tuning Lets connect in chat so that We discuss further. Thank You