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Technical Confidence for Your Real-Time, Distributed Systems
Work with engineers who understand the complexities of production Elixir/Erlang systems, and have a proven track record of scaling, optimizing, and modernizing distributed platforms for infrastructure-heavy enterprises.
Massive User Concurrency
Handle millions of concurrent connections with BEAM's lightweight processes, leveraging OTP patterns for supervisor trees, GenServers, and distributed process management.
Real-Time Responsiveness
Build sub-millisecond latency systems with Phoenix Channels, distributed Pub/Sub, and optimized message passing for instant data delivery at scale.
System Reliability
Implement "let it crash" philosophy with supervision strategies, circuit breakers, and self-healing architectures that guarantee 99.99%+ uptime.
Effortless Scaling
Design horizontally scalable clusters with distributed Erlang, load balancing strategies, and zero-downtime deployments using hot code reloading.
API & Microservices Stability
Event-driven architectures with Phoenix, gRPC, GraphQL, and message brokers for resilient, decoupled service communication.
High-Frequency Transactions
Process thousands of transactions per second with Ecto's connection pooling, PostgreSQL integration, and distributed transaction coordination.
Global Availability
Deploy geo-distributed clusters with libcluster, global process registries, and multi-region failover for continuous worldwide operations.
Complex Workflow Automation
Orchestrate multi-step business processes with Oban for background job processing, saga patterns, and distributed task coordination.
Real-Time Data Insights
Stream processing with GenStage, Flow, and Broadway for real-time analytics pipelines that transform high-volume event streams into actionable intelligence.
Built for Enterprise Teams Running Elixir/Erlang in Production
Fintech & Banking – High-throughput transaction engines, real-time fraud detection, and resilient settlement workflows.
Infrastructure & DevOps – Observability platforms, distributed logging, orchestration systems, and automation pipelines.
Telecom & Communications – Real-time messaging, VoIP, presence, and large-scale device coordination.
Gaming & Entertainment - Multiplayer backends, matchmaking, live events, chat systems, and state synchronization at scale.
Specialized Elixir/Erlang Services
Performance Optimization & Scaling
We identify and eliminate performance bottlenecks across your Elixir/Erlang systems by profiling with :observer, :fprof, Erlang tracing, and custom Telemetry. We optimize Ecto query patterns, tune memory usage, improve mailbox/message-passing efficiency, refine supervision hierarchies, and restructure data flows. For scaling, we design clustering strategies with libcluster, distributed registries, connection pooling, caching layers, and read replicas, followed by comprehensive load and stress testing to validate throughput under production-like workloads.
Legacy System Modernization
We transform legacy Elixir/Erlang codebases into maintainable and future-proof systems through systematic refactoring, improved type specs and documentation, and the removal of anti-patterns. Dependencies are upgraded to current Phoenix, Ecto, OTP, and BEAM ecosystem standards with full regression testing. We gradually extract monolithic modules into bounded contexts and microservices, introduce CI/CD pipelines, and incorporate observability through structured logging, Telemetry metrics, distributed tracing, and runtime monitoring—executed with zero downtime.
Team Augmentation & Training
We provide senior Elixir/Erlang engineers experienced in building and scaling distributed, fault-tolerant systems who integrate directly into your team. Engagement includes hands-on mentoring, deep code reviews focused on OTP behavior correctness and performance, architecture guidance for highly available systems, and tailored training covering supervision trees, message queue backpressure strategies, testing pipelines, release management, and distributed systems debugging in production.
Real-Time System Architecture
We design and implement real-time features using Phoenix Channels, Phoenix LiveView, and distributed Pub/Sub for large-scale bidirectional communication. This includes event routing across multi-node clusters, efficient Presence tracking for online users and device states, low-latency UI synchronization for collaborative features, and resilient handling of broadcast storms. Ideal for chat systems, live dashboards, streaming analytics, IoT device coordination, and any application requiring sub-second responsiveness.
Distributed Systems Engineering
We architect and implement fault-tolerant distributed systems leveraging Erlang’s built-in distributed runtime. This includes multi-node orchestration, node discovery, automatic healing, state replication using CRDTs or Mnesia, partition-tolerant routing and conflict resolution, consensus/leader election, distributed locks, and global coordination patterns. Designed for systems that must remain stable under network splits, node churn, and unpredictable load.
Data Pipeline & Stream Processing
We build high-throughput streaming data pipelines using GenStage, Flow, and Broadway to process and route millions of events per second. Architecture includes backpressure-aware ingestion, fault-isolated processing stages, concurrency-aware parallelization strategies, and automated retry/error handling. We integrate with Kafka, RabbitMQ, NATS, AWS SQS, or custom protocols and support real-time analytics via windowed aggregations, CEP patterns, and metric computation for operational and product-facing data systems.
"For over a decade, we've specialized in building and scaling distributed systems on the BEAM. From telecom platforms handling millions of concurrent connections to fintech systems processing billions in transactions, we've seen it all. Our mission is simple: help engineering teams maximize the potential of Elixir and Erlang to build systems that are truly fault-tolerant, massively scalable, and maintainable for the long term."
Why Partner With Us
Deep BEAM Expertise
10+ years of production experience with Elixir, Erlang/OTP, and the BEAM VM. We understand the runtime internals, scheduler behavior, and low-level optimizations that make the difference at scale.
Production-Proven Patterns
We've implemented OTP supervision trees, distributed consensus, circuit breakers, and fault-tolerance strategies in systems processing billions of transactions and serving millions of users.
Full-Stack Elixir Capability
From Phoenix web applications and GraphQL APIs to Nerves embedded systems and distributed job processing with Oban, we cover the entire Elixir ecosystem.
Performance-First Engineering
Every line of code is written with performance in mind. We profile, benchmark, and optimize for low latency, high throughput, and minimal resource consumption.
Zero-Downtime Deployments
Master hot code reloading, rolling deployments, blue-green strategies, and canary releases to keep your systems online during updates.
Security-First Approach
Built-in security practices including authentication, authorization, encryption, secure session management, and compliance with industry standards.
Words from our partners
Dan White
Co-Founder, Localvore
“
I appreciate Crafting Software because we wouldn’t be here if we’d gone through another round of not having the right team.
There would be no business and we wouldn’t get any investment opportunities if Crafting Software didn’t work out for Localvore — straight up, there would be no Localvore.
Ted Gay
Co-Founder, Athena
“
It’s easy to work with Crafting Software — they’re all very good people.
The team excels at project management. We’ve changed courses a few times, and the Crafting Software team has been willing to adjust to the number of resources we need. Overall, they’ve been a great partner who understands our vision.
Joshua Hall
VP of Product, Reva Technology
“
I’ve worked with plenty of teams over the last 20 years, and Crafting Software is top-notch.
They think about second- and third-order problems of how they can do their jobs better and how they can impact their customers effectively. That’s uncommon in my experience.
On top of that, they clearly take pride in their work.
Elixir/Erlang Engineering FAQ
How do you ensure our Elixir/Erlang system can handle increased load?
We start with comprehensive profiling and load testing to identify current bottlenecks. Then we implement a combination of vertical optimizations (query optimization, caching, process pooling) and horizontal scaling strategies (clustering, load balancing, distributed process management). We use tools like :observer, Telemetry, and custom benchmarks to validate performance improvements and ensure your system can handle 10x-100x current traffic.
Can you work with our existing team and codebase?
Absolutely. Most of our engagements involve augmenting existing teams. We conduct thorough code reviews, document current architecture, identify areas for improvement, and work collaboratively with your engineers. Our goal is knowledge transfer, your team should be more capable after working with us.
What's your approach to modernizing legacy Elixir/Erlang systems?
We take an incremental, zero-downtime approach. First, we establish comprehensive test coverage and monitoring. Then we gradually refactor components, upgrade dependencies, improve documentation, and extract microservices where appropriate. We prioritize high-impact areas first and ensure each change improves system reliability and maintainability.
How do you handle distributed system challenges like network partitions?
We implement battle-tested patterns for partition tolerance: distributed consensus algorithms (Raft, Paxos), CRDTs for eventual consistency, quorum-based operations, and automatic cluster healing. We design systems that continue operating during network splits and reconcile state automatically when connectivity is restored.
What industries do you have experience with?
Our core expertise spans telecom (real-time messaging, VoIP, IoT), fintech (payment processing, trading platforms, banking systems), and infrastructure (monitoring, DevOps tools, cloud platforms). However, the patterns we've mastered—high concurrency, fault tolerance, distributed systems—apply across any domain requiring reliable, real-time processing.
