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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.
Why external databases are yesterday’s problem when you have Mnesia and ETS We’ve all been there. You’re building a real-time app and suddenly you’re drowning in database decisions: While you’re busy setting up Docker containers, configuring connection pools, and debugging network timeouts, Elixir developers are already shipping features. Here’s why.
If you come from the worlds of Python, Ruby, or Node, you likely have a distinct muscle memory when starting a new project. You spin up the app server, you set up the database, and — almost automatically — you spin up a Redis instance. It’s the default answer to
When building distributed, real-time applications, choosing the right tools for communication and scaling is crucial. Elixir, with its powerful concurrency model and libraries like libcluster and Phoenix PubSub, excels at handling thousands of concurrent connections and distributed messaging. In contrast, Node.js, while capable, faces challenges in scaling real-time features across
I’m a big fan of Ecto. For years, it has been the backbone of how I build Elixir applications — managing schemas, changesets, validations, and database interactions. It gives me hands-on control, which I really enjoy. But lately, I’ve been hearing a lot of hype about the Ash Framework. Curious
A battle-tested developer’s controversial take on why JavaScript’s darling can’t compete with Elixir’s rising star The JavaScript community won’t like this, but it’s time someone said it: Phoenix LiveView has made Express.js obsolete for serious web applications. I’ll be honest — I used to be one of those developers who
I recently saw a blog talking about the distributed counters and what it would take to make it in java, I was like let’s see what it would take to make the same in the Elixir ❤ and Go 🙂 Distributed systems are inherently complex, but Elixir’s actor model and
How the Wrong Tech Stack Killed India’s Biggest Crypto Exchange (And How Elixir Could Have Saved It)
Before the RBI ban crippled them, a series of catastrophic system failures had already sealed their fate. Here’s the technical post-mortem every fintech founder needs to read. In December 2017, Koinex was on top of the world. India’s largest cryptocurrency exchange was processing $265 million in trading volume monthly, onboarding
Part-2 of the invoice generation series in Elixir, Go vs Rust, When invoices settlement goes wrong So lets build the invoice settlement system and see if todays’ tech stack will be able to solve the 10 years old problems we faced. The Challenges We Must Solve 1. State Management 2.
This is the part-1 of the invoice settlement system. Read it here This story is the direct comparison of the system design comparison between Elixir & Go, we will build the same system in both of the languages and see which provides what benefit. Why This Story Matters Ten years