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ELIXIR SYSTEM DESIGN EXPERTS
Building Scalable, Fault-Tolerant Systems for 12+ Years Specialized in betting platforms, blockchain solutions, and AI applications
Our Expertise
Architecture Planning
We design robust, scalable architectures capable of handling millions of requests per day without performance degradation. Our team leverages Elixir’s lightweight processes and the BEAM VM to distribute workloads efficiently across nodes, ensuring consistent response times even during peak traffic. From load balancing strategies to horizontal scaling and caching layers, we build systems that grow seamlessly with your user base.
Fault-Tolerant System
Using Elixir’s OTP (Open Telecom Platform) framework, we implement systems that recover automatically from failures. Our designs include process supervision trees, fault isolation, and restart strategies that keep critical services running smoothly even when individual components fail. This approach ensures maximum uptime, reliability, and resilience across your infrastructure — essential for mission-critical applications.
Distributed Systems
We architect and optimize distributed systems that communicate reliably and perform consistently across multiple nodes and environments. Leveraging tools like Phoenix PubSub, message queues, and clustering, we design systems that can synchronize data, handle concurrent events, and maintain high throughput with minimal latency. Our team also focuses on observability, ensuring every component is monitored and measurable for optimal performance.
Performance Monitoring
We integrate advanced monitoring and observability tools to give you full visibility into your system’s health and performance. Using Prometheus, Grafana, and OpenTelemetry, we instrument your Elixir applications to track metrics, logs, and traces in real time. This allows for proactive issue detection, data-driven scaling decisions, and continuous optimization — ensuring your system remains reliable and efficient under all conditions.
Microservice Architecture
We specialize in building modular, maintainable microservice architectures using Elixir and the Phoenix framework. Each service is designed to operate independently, communicate via APIs or message brokers, and scale autonomously based on workload. This approach enables faster development cycles, easier maintenance, and seamless integration with existing systems or third-party services — ideal for complex enterprise-grade applications.
Real-Time Application Architecture
Real-time systems are at the heart of modern digital experiences — from betting platforms to chat applications and live dashboards. With Phoenix Channels and WebSockets, we design architectures that deliver live data updates with sub-second latency. Our solutions are optimized for concurrency and scalability, ensuring users always get instant feedback and up-to-date information, no matter how large the active user base grows.
Kernel Polling in the BEAM VM (Erlang/Elixir) What is Kernel Polling? Kernel polling is a technique where the operating system provides a way for applications to efficiently monitor many I/O resources (like sockets or files) at once. Instead of the application repeatedly checking each resource (polling), the OS notifies the
A developer’s journey from “this should be easy” to enterprise-grade performance The Spark That Started Everything It all began when I published my previous blog post: “The Ultimate WebSocket Battle: Elixir vs Go Performance Showdown.” I had achieved what I thought were impressive results — around 16,000 concurrent connections on
Most performance comparisons are either unfair or unrealistic. We’ve all seen the “nuclear stress tests” that push systems to the brink, yielding little insight into real-world performance. This isn’t one of those. I wanted to find out, under a fair and realistic workload, which platform truly shines for high-concurrency WebSocket
