Backend Event Streaming Service Development

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in API Development, RabbitMQ, Backend Development, Agile Development, Software Architecture As a preferred freelancer in the top 1%, I have done 400+ projects here on freelancer.com, I have 4.9 ratings out of 5 on average, which showcases my quality of work and timely delivery. Key Highlights: - Free Hosting Support on the Cloud or any desired platform. - Free 3 months of post-delivery support to ensure that our client doesn’t face any challenges after the launch of the project. - Free Dedicated tester on projects to ensure quality delivery, so clients don’t need to act as a tester. - 10+ Years experience UI/UX team to ensure intuitive UI. Portfolio: https://www.freelancer.com/u/Microlent Please open the chat and send me a message, so we can have a more detailed discussion about the project to give you the project timeline and cost. Thank you for considering my services. I look forward to engaging in a productive conversation and understanding how I can be of assistance in bringing your project to life. Regards Rajesh Rolen

@AwaisChaudhry

I can design and deliver the backend event streaming service around reliable producer and consumer flows, ordered delivery, consumer groups, backpressure handling, and idempotent processing. The architecture will keep broker responsibilities clear while exposing a clean internal API for publishing and subscribing to topics. I’ll establish the topic/queue model, delivery guarantees, retry and acknowledgement behavior, then add monitoring hooks for queue depth and consumer lag. The implementation will be structured for a focused one-week delivery, with milestone demonstrations covering the working service, interfaces, documentation, and operational checks. Agile Development practices will keep progress visible and make each milestone technically verifiable, while API Development and Software Architecture decisions remain documented for future extension. Which broker and deployment environment should the service target, and must ordering be guaranteed globally or per topic partition/consumer group? I’ll also ensure the handover includes source code, configuration guidance, and clear notes on ordering, failure recovery, and idempotency. Muhammad Awais

@adeelpirzada

Hi, I am Adeel. I built Boostifai, a multi-tenant SaaS where background workers process high-volume events across tenants with strict ordering and delivery guarantees, so designing reliable pub/sub with backpressure handling is familiar ground. For this I would use RabbitMQ with durable queues and consumer groups, idempotent handlers keyed on message id, and expose a thin internal API for publish and subscribe operations. Monitoring hooks for queue depth and consumer lag would sit alongside from day one rather than bolted on later. Given the one week window, would you want Kafka considered as an alternative, or is RabbitMQ already the fixed choice?

@ZohaibRoy

⭐⭐⭐⭐⭐ Build Real-Time Event Streaming & Message Queue Service ❇️ Hi My Friend, I hope you're doing well. I reviewed your project requirements and see you're looking for a backend engineer to create a real-time event streaming service. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for backend development. I will design a robust system that manages high-volume events, ensuring reliable queuing and delivery. ➡️ Why Me? I can easily build your real-time event streaming service as I have 5 years of experience in backend development, including expertise in Kafka, RabbitMQ, and event-driven architecture. My skills in designing APIs and handling backpressure ensure a smooth functioning of the service. I also have a strong grip on monitoring tools and best practices for system performance. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Kafka ✅ RabbitMQ ✅ Event-Driven Architecture ✅ API Design ✅ Backend Development ✅ Message Queuing ✅ System Monitoring ✅ Data Processing ✅ Idempotent Consumers ✅ Consumer Groups ✅ Documentation ✅ Problem Solving Waiting for your response! Best Regards, Zohaib

@gotucat

Hi, I reviewed the project and understand the main requirement: building a reliable backend event streaming service for high-volume events, ordered delivery, backpressure, and consumer groups. I can create the producer and consumer interfaces with a suitable message broker, applying Cloud Computing and Microservices principles for resilient event-driven routing. I’ll document the topic and queue structure, delivery guarantees, idempotent consumer behavior, and internal APIs through clear Technical Writing, while adding monitoring hooks for queue depth and consumer lag. I’ll keep the implementation clean, responsive, and straightforward to manage within the fixed delivery window, with focused progress against each milestone. Let’s discuss here now.

@vladang

Guaranteed ordering and consumer groups pull against each other, since order only holds inside one partition or queue. So I'd start by pinning down the ordering unit with you (per user, per account, per entity ID), because that sets the partition key and caps how many consumers can run in parallel. Then the publish/subscribe API on top of Kafka or RabbitMQ, with idempotent consumers keyed on a dedupe ID so a redelivery after a crash doesn't double-process. For backpressure I'd use prefetch limits and slow the producers down rather than drop events, and expose queue depth, consumer lag and ack rates as metrics you can scrape. Four years of my work at MacKenzie & MacKenzie has been Python data pipelines and warehousing, which is the same delivery-guarantee problem. First milestone can be one topic running end to end, producer through a consumer group with ordering and the monitoring hooks, in 3 days, well inside your 6 October date. Do you already run a broker in production, or is that choice still open?

@sufyanasmat38

Hello, I have strong experience with backend systems, RabbitMQ, Kafka, microservices, REST APIs, event driven architecture, and reliable message processing. I can build the streaming service with producer and consumer interfaces, consumer groups, ordering, backpressure handling, idempotent processing, and monitoring for queue depth and consumer lag. I can deliver the documented backend within the one week window and work cleanly against your fixed milestone structure. I can start immediately and would be happy to discuss the broker and deployment environment.

@intelliresponse

Hello, I have experience building backend systems using event-driven architecture, message queues, and distributed services. I can develop a reliable real-time event streaming service using technologies such as Kafka, RabbitMQ, or a custom lightweight messaging layer depending on your scalability requirements. My approach will include designing producer and consumer interfaces, implementing topic-based routing, ensuring ordered delivery, handling backpressure, and adding idempotency mechanisms to prevent duplicate processing. I will also provide monitoring hooks for queue depth, consumer lag, and service health. The final delivery will include clean, documented source code, API documentation, topic/queue structure explanation, and setup instructions. I will focus on creating a maintainable solution that can be extended for future producers and consumers. I understand the one-week delivery requirement and milestone structure. I can start immediately, provide regular progress updates, and work toward delivering a fully tested backend service within the agreed timeline.

@Engumer480

Hi sir , the critical detail is preserving event order when consumers slow down, fail or retry not just during normal operation. I’d build around explicit ordering keys, bounded buffering and idempotent processing, with recovery tests and consumer-lag monitoring included. For the one-week scope, I’d prioritize producer/consumer APIs, documented delivery guarantees and a reproducible deployment. Do you need ordering across an entire topic or only within each customer/entity, and what peak event rate should the service handle?

@denisSolution

Hi, I'm Denis, a backend developer specializing in distributed messaging systems and event-driven architectures. I understand you're building a reliable, high-throughput event streaming service that handles multiple producers and consumers with guaranteed ordering and delivery semantics. I've built similar systems where the core challenge is ensuring messages arrive in order, handle backpressure without dropping data, and provide visibility into queue performance. Monitoring queue depth and consumer lag is critical—you need early warning before bottlenecks become problems. My approach: Start with an architecture review to confirm topic structure and consumer group design. Then implement core producer and consumer interfaces, add idempotency handling to prevent duplicates, and wire up backpressure mechanisms for graceful degradation under load. Testing throughout ensures ordering and delivery guarantees hold. Finally, I'll add monitoring endpoints and documentation for maintainability. The key technical challenge is designing consumer group logic correctly. Consumer groups must reliably track offsets, rebalance when consumers join or leave, and guarantee no message is processed twice or skipped. This is where most systems fail without careful upfront planning. I'm comfortable with the one-week deadline, fixed-price structure, and the October 6th material deadline. I can start immediately. Let's discuss the details. Thanks, Denis.

@installerpoint

Good Day! I have carefully analyzed your project and can build the backend event-streaming service using Kafka/RabbitMQ, clean pub/sub APIs, consumer groups, ordered delivery, backpressure handling, idempotent processing, and monitoring for queue depth and consumer lag. I can deliver a production-ready, well-documented service within the required one-week window, with clean source code, testing, and clear milestone-based progress. I am eager to contribute my expertise and deliver top-notch results for your project. Let's discuss the project further in chat or let's have a quick call! Best regards, M Adeel.

@Hrolgar

Are you set on Kafka for this, or would RabbitMQ's exchange routing actually suit the consumer group side better? That decision shapes the whole first milestone, so I'd rather settle it before writing anything. My instinct is RabbitMQ for this scope. A one week window with guaranteed ordering and backpressure is doable with topic exchanges, per-consumer prefetch limits and manual ack/nack, without needing a schema registry or a Zookeeper/KRaft setup on top. I'd prove the topology first rather than build blind. Milestone one is a real exchange and queue layout with a producer and a working consumer group actually moving messages, so the ordering guarantee is visible before you commit to the rest. From there I'd add the delivery guarantees and dead-lettering, then backpressure and scaling, then the monitoring hooks for queue depth and consumer lag through the management API or a Prometheus exporter, whichever suits your stack. M1: RabbitMQ topology demo, exchange/queue layout with producer + working consumer group, £319, 2 days. M2: Guaranteed delivery and ordering, ack/nack handling, dead-letter and retry logic, £350, 2 days. M3: Backpressure handling and consumer group scaling under load, £350, 2 days. M4: Monitoring hooks for queue depth and consumer lag, load test, handover docs, £256, 1 day. Send me the repo, or a blank one if this is greenfield, and I'll have a tighter number back to you tomorrow.

@Tanmoy236

Hi There! I specialize in backend event streaming and distributed systems, with 9+ years of experience, 450+ completed projects, Top 1% verified freelancer. I can build a reliable high-volume messaging service with clear producer/consumer interfaces, ordering, consumer groups, backpressure handling, and idempotent processing. I’ll design the broker/topic structure, implement the publishing/subscribing API, and add monitoring hooks for queue depth and consumer lag, with documentation covering the delivery guarantees. I can work within your fixed deadline while keeping the architecture practical and testable. Would you prefer Kafka or RabbitMQ for the core broker, or should I recommend the better fit based on your expected event volume and deployment environment?

@AZTURK1

Hi there, I can see you need a real-time event streaming service handling high-volume ingestion from multiple producers with guaranteed delivery ordering and backpressure management. This is exactly the kind of distributed systems work I've been doing for years — I recently built a RabbitMQ-based event pipeline for a fintech client handling 50k+ messages/minute with consumer groups and dead-letter queues. What I'll do: ✅ Set up Kafka or RabbitMQ with topic/partition design, idempotent producer clients, and consumer groups with offset management for guaranteed ordering ✅ Build a clean internal REST/gRPC pub/sub API for publishing events and subscribing to topics, with backpressure handling and retry logic built in ✅ Document the full topic/queue architecture and delivery guarantees, plus add monitoring hooks for queue depth and consumer lag metrics ✅ Backup first, test every component in isolation before integration, and deliver a fully functional system within your deadline Skills: ✅ Kafka / RabbitMQ — clusters, topic design, consumer groups, dead-letter queues ✅ Event-driven architecture — idempotent consumers, exactly-once delivery, saga patterns ✅ Distributed systems — backpressure, retry queues, circuit breakers, observability ✅ Internal APIs — REST/gRPC pub/sub interfaces ✅ Microsoft® Certified: MCSA | MCSE | MCT ✅ 300+ projects delivered, 280+ five-star reviews I have 7+ years experience with distributed messaging infrastructure and can start right away.

@efanntyo

Hi there, I am excited about the opportunity to work on your Backend Event Streaming Service Development project. With extensive experience in building distributed systems and a strong proficiency in RabbitMQ and Kafka, I am well-prepared to deliver a robust solution tailored to your needs. My background in event-driven architecture and designing internal pub/sub APIs will ensure that the service not only meets but exceeds your expectations. I understand the importance of handling high-volume events and ensuring reliable message delivery. My approach will focus on creating a scalable architecture that gracefully manages backpressure and supports consumer groups. I will implement a clean internal API for seamless topic subscription and publishing, ensuring your system's efficiency and reliability. Throughout the project, I will maintain clear and open communication, providing regular updates on progress to ensure alignment with your vision. My commitment is to deliver a fully functional, well-documented service by the specified deadline, complete with monitoring hooks for queue management. Looking forward to the possibility of collaborating with you and bringing this project to fruition. Best Regards,

@mayr81

Got it, this is a pure backend/messaging-infrastructure build: high-volume producers → reliable queueing → ordered delivery to downstream consumers, with backpressure and consumer groups. I’ll implement an event streaming service (Kafka or comparable broker) with idempotent consumption, clear topic/queue design, and a resilient internal pub/sub API for publishing and subscribing. To keep the one-week window realistic, I’ll start with a minimal but complete skeleton: ingestion path, routing to topic(s), consumer-group strategy, and delivery/ordering guarantees. Then I’ll layer in backpressure handling and monitoring hooks (queue depth + consumer lag). You’ll get documented interfaces, delivery-guarantee design notes, and source code structured for maintainability, no UI, no fluff. Milestones will map to tangible working increments so the final deliverable hits “full working order” by the deadline, because time is the essence, not a suggestion.

@AndrewJSMAN

I've built Kafka-based event streaming systems before, so this is right in my wheelhouse. I'll set up a scalable producer/consumer service with RabbitMQ, configure topic partitioning for ordering guarantees, and implement backpressure handling via flow control. The API will use AMQP for publishing/subscribing, with consumer groups managed via exclusive queues. Monitoring will track queue depth and lag via Prometheus metrics. I'll deliver a containerized deployment with Docker and Helm charts for easy scaling. I can start immediately. Thanks, Andrii.

@flapjakc

Hi, Mateo here from Toronto, I can build the backend event streaming service around a reliable event-driven architecture using Kafka or RabbitMQ, depending on the exact throughput and ordering requirements. The service would provide clean producer/consumer interfaces, topic and queue management, consumer groups, ordering guarantees, retry/error handling, and idempotent consumers to prevent duplicate processing. I’ll also design backpressure handling so high-volume producers do not overwhelm downstream consumers. For monitoring, I can expose the key operational metrics needed to track queue depth, consumer lag, processing failures, throughput, and service health. I’ll keep the implementation focused and production-oriented, with clear separation between the messaging layer and business logic so it can be extended later without major architectural changes. The three milestones can cover architecture/setup, core streaming implementation, and final testing/documentation. I’ll provide the source code, documented delivery guarantees, API/interface documentation, and setup instructions. Before implementation, I’d confirm the expected event volume, ordering scope, persistence requirements, and whether Kafka or RabbitMQ is preferred. That will determine the most appropriate design. Rate: £990 fixed Deadline: 8 days

@tyronet2

You need a reliable backend messaging service that can ingest high volume events, preserve delivery ordering, handle backpressure, and expose clean producer and consumer APIs. I have direct experience with event driven backend systems and messaging infrastructure using Python, Node.js, RabbitMQ, Kafka, WebSockets, and AWS services. At Marin Software, I worked on real time pipelines with serverless Python and AWS Lambda, while my production stack also includes RabbitMQ and Kafka for asynchronous processing. I can design the service around consumer groups, idempotent consumers, delivery guarantees, queue monitoring, and failure handling so the behavior is predictable under load. I would also document the topic structure, API contracts, retry strategy, and operational requirements clearly for handoff. One concern is the strict one week window combined with the money back clause, so I would want to confirm the exact broker and expected event volume before accepting. Can you confirm the expected throughput and preferred broker?