★ ★ ★ ★ ★ 4.9 Client Rated
TRUSTED BY THE WORLD’S MOST ICONIC COMPANIES.
★ ★ ★ ★ ★ 4.9 Client Rated
We design robust and scalable Kafka architectures tailored to your business needs. Our engineers ensure that your Kafka clusters are optimized for high throughput, fault tolerance, and low latency. Whether you're building a new system or modernizing an existing one, we help you set the foundation for efficient real-time data processing.
Transform and analyze your data on the fly using Kafka Streams or ksqlDB. We build stream processing pipelines that allow your business to extract real-time insights and automate actions at scale. Ideal for fraud detection, personalization engines, and live analytics.
We specialize in integrating Kafka with your existing systems, whether they’re legacy applications or cutting-edge microservices. Using Kafka Connect and custom connectors, we ensure seamless communication across databases, APIs, CRMs, ERPs, and more.
Already using Kafka but not getting the performance you expected? We conduct in-depth audits and fine-tune your Kafka setup for better throughput, lower latency, and greater resource efficiency. Our optimization strategies are backed by real-world experience and best practices.
Protect your data in motion. We implement end-to-end security across your Kafka environment, including encryption, authentication, and access control. We also help ensure compliance with GDPR, HIPAA, and other regulations.
Empower your internal teams with in-depth Kafka training. We offer hands-on workshops, documentation, and mentorship tailored to your environment and use cases. Our goal is to make your teams self-sufficient and confident in managing Kafka solutions.
Build scalable, decoupled systems using Kafka as the backbone of your event-driven architecture. We help you shift from monoliths to microservices using event sourcing, command-query responsibility segregation (CQRS), and asynchronous communication models.
Coca-Cola needed a predictive tool to anticipate customer churn and manage the risk of abandonment. The goal was to implement an early warning system to identify risk factors and proactively reduce churn rates, optimizing retention costs and maximizing customer lifetime value.
YellowPepper partnered with Coderio to bolster its development team across various projects associated with its FinTech solutions. This collaboration aimed to leverage our expertise and elite resources to enhance the efficiency and effectiveness of the YellowPepper team in evolving and developing their digital payments and transfer products.
Coca-Cola sought an intelligent customer segmentation system that could identify and analyze behavioral patterns across different market segments. The solution had to automatically adapt to new data, allowing for optimized marketing strategies and improved return on investment.
Coca-Cola faced the challenge of accelerating and optimizing the creation of marketing promotions for its various products and campaigns. Coca-Cola was looking for a solution to improve efficiency, reduce design and copywriting time, and ensure consistency in brand voice. Additionally, the company sought a flexible, customizable platform that would allow the creation of high-quality content while maintaining consistency across campaigns.
APM Terminals faced the challenge of automating the control of entries and exits at their port terminals. The existing process, which involved manual management of drivers, vehicles, and containers, was costly and prone to inefficiencies, delays, and errors.
Coca-Cola required an advanced solution to accurately forecast the demand for its products, enabling them to optimize inventory and efficiently plan resources. The main need was to implement a predictive system that could analyze complex patterns, seasonality, and trends to improve their supply chain and operations.
Openpay needed a substantial upgrade to its payment processing capabilities, particularly focusing on mobile applications. The aim was to integrate advanced technologies for secure credit card transactions and to enhance core business functionalities. The project demanded extensive technical expertise to support mobile payment initiatives and refine essential system processes.
Burger King approached us to enhance the performance of their back-end processes, seeking a team of specialists to address their specific tech needs.
We are eager to learn about your business objectives, understand your tech requirements, and specific Kafka needs.
We can assemble your team of experienced, timezone aligned, expert Kafka developers within 7 days.
Our Kafka developers can quickly onboard, integrate with your team, and add value from the first moment.
Apache Kafka is an open-source distributed event streaming platform designed to handle real-time data at scale. Unlike traditional message brokers or data processing tools, Kafka excels at publishing, storing, and subscribing to streams of records in a highly fault-tolerant, low-latency manner. It allows organizations to decouple systems, process data in motion, and build resilient, event-driven applications across cloud and on-premise environments.
What sets Kafka apart is its ability to handle massive volumes of data in real time, persist messages for later replay, and power mission-critical applications like fraud detection, recommendation engines, and real-time analytics. Whether you’re building microservices, modernizing your data infrastructure, or integrating diverse systems, Kafka offers the flexibility, scalability, and performance to meet enterprise demands.
Apache Kafka is the go-to solution for organizations that need to process and integrate data in real time across distributed systems. It offers unmatched performance with high throughput and low latency, allowing you to handle millions of messages per second without bottlenecks. Kafka’s architecture simplifies development by decoupling producers and consumers, making it easier to build scalable, event-driven applications.
With built-in fault tolerance, horizontal scalability, and support for long-term data retention, Kafka accelerates innovation while reducing operational complexity—making it an essential technology for modern digital platforms.
Apache Kafka enables continuous ingestion and streaming of data across systems with near-zero latency. This real-time capability helps businesses respond instantly to events, detect anomalies, and deliver faster insights—giving your organization a powerful competitive edge.
Kafka empowers you to adopt an event-driven architecture, unlocking automation, reactivity, and better system modularity. This design paradigm reduces system coupling and improves responsiveness across complex enterprise applications.
Kafka’s distributed architecture is built to scale horizontally, handling millions of events per second without compromising throughput or reliability. As your data volume grows, Kafka grows with you—ensuring stable performance under any load.
With built-in replication and data durability, Kafka is designed for resilience. Even if a broker or node fails, Kafka ensures that no data is lost and your systems remain operational—minimizing downtime and increasing business continuity.
Kafka acts as a central hub for integrating diverse systems—databases, APIs, cloud services, and analytics tools. With a broad ecosystem of connectors and APIs, it enables smooth and consistent communication between microservices, legacy systems, and new platforms.
Kafka decouples producers and consumers, allowing engineering teams to build independent services that scale and evolve at their own pace. This boosts development velocity, simplifies debugging, and supports modern DevOps workflows.
Kafka is a powerful foundation for real-time analytics platforms. It enables continuous data ingestion and processing from multiple sources—applications, IoT devices, logs, and databases—allowing businesses to act on insights instantly. Whether it’s detecting anomalies, tracking KPIs, or visualizing operational metrics, Kafka ensures you’re never working with stale data.
Modern applications thrive on modularity and speed. Kafka enables microservices to communicate asynchronously via real-time events, decoupling services and reducing interdependencies. This results in more scalable, resilient systems that are easier to maintain, evolve, and deploy—key benefits for fast-moving product teams.
Kafka is ideal for building modern, flexible data pipelines. It acts as the central nervous system, seamlessly connecting systems like databases, cloud storage, SaaS tools, and analytics platforms. With Kafka, organizations can move away from legacy ETL models and toward scalable, real-time data integration.
Kafka enables continuous monitoring of transactions and user activity to detect and respond to threats in real time. By integrating Kafka with machine learning models or rule engines, companies can flag anomalies, block suspicious activity, and enhance their overall security posture—all without delays.
Capture and process user interactions as they happen to deliver personalized recommendations, dynamic pricing, and contextual messaging. Kafka helps retailers, media companies, and digital platforms provide engaging, tailored experiences that drive loyalty and increase revenue.
For industries leveraging connected devices—like manufacturing, automotive, and logistics—Kafka provides a scalable platform to stream, store, and analyze data from the edge in real time. It supports use cases such as predictive maintenance, asset tracking, and remote monitoring with minimal latency and high reliability.
Leverage these tools to analyze and transform data in motion, enriching Kafka pipelines with real-time business intelligence.
Simplify integration between Kafka and external systems—databases, cloud storage, and SaaS apps—with these powerful connector solutions.
Accelerate Kafka deployment, monitoring, and scaling with platforms built for the cloud-native ecosystem.
Enable the seamless flow of Kafka data into storage and analytics platforms for long-term analysis and reporting.
While RabbitMQ is a reliable message broker for point-to-point and request-response messaging, Kafka is purpose-built for high-volume, publish-subscribe systems. Kafka offers superior throughput, long-term message storage, and stream replay capabilities—ideal for building event-driven microservices and scalable data architectures. RabbitMQ is suited for short-lived messages, while Kafka is optimized for long-term, real-time data pipelines.
Legacy message queues like ActiveMQ or IBM MQ are designed for reliable delivery in transactional environments but lack the scalability and performance Kafka provides. Kafka’s log-based architecture enables distributed storage and horizontal scaling, making it far more efficient for handling streaming data and integrating with modern cloud-native ecosystems.
Batch processing tools like Apache NiFi or Talend move data in scheduled intervals, often introducing latency between data generation and action. Kafka eliminates this delay by enabling continuous data streaming. With Kafka, businesses can process, analyze, and react to data in real time—making it a core component for modern analytics and responsive systems.
We build high-performance software engineering teams better than everyone else.
Coderio specializes in Kafka technology, delivering scalable and secure solutions for businesses of all sizes. Our skilled Kafka developers have extensive experience in building modern applications, integrating complex systems, and migrating legacy platforms. We stay up to date with the latest Kafka advancements to ensure your project is a success.
We have a dedicated team of Kafka developers with deep expertise in creating custom, scalable applications across a range of industries. Our team is experienced in both backend and frontend development, enabling us to build solutions that are not only functional but also visually appealing and user-friendly.
No matter what you want to build with Kafka, our tailored services provide the expertise to elevate your projects. We customize our approach to meet your needs, ensuring better collaboration and a higher-quality final product.
Our engineering practices were forged in the highest standards of our many Fortune 500 clients.
We can assemble your Kafka development team within 7 days from the 10k pre-vetted engineers in our community. Our experienced, on-demand, ready talent will significantly accelerate your time to value.
We are big enough to solve your problems but small enough to really care for your success.
Our Guilds and Chapters ensure a shared knowledge base and systemic cross-pollination of ideas amongst all our engineers. Beyond their specific expertise, the knowledge and experience of the whole engineering team is always available to any individual developer.
We believe in transparency and close collaboration with our clients. From the initial planning stages through development and deployment, we keep you informed at every step. Your feedback is always welcome, and we ensure that the final product meets your specific business needs.
Beyond the specific software developers working on your project, our COO, CTO, Subject Matter Expert, and the Service Delivery Manager will also actively participate in adding expertise, oversight, ingenuity, and value.
Accelerate your software development with our on-demand nearshore engineering teams.