Systems Built for Millions of Operations
Event-driven architectures, streaming pipelines, and backends where latency and throughput actually matter. Not overengineering — right engineering.
We design and build distributed systems that handle real-world scale. From sub-millisecond response times to processing millions of events per second, our engineers specialize in the architectures that don't break under pressure.
Book a CallWhen your systems can't keep up
Your monolith is a bottleneck
Every deploy is a risk. One slow query takes down the entire application. Your team spends more time firefighting than building features. Scaling means throwing money at bigger servers, but the ceiling is approaching fast.
You're losing users to latency
Your API response times are climbing. Database queries that were fast at 10k users are crawling at 500k. Every 100ms of added latency costs you conversions, and your team doesn't know where to start optimizing.
Real-time features feel impossible
Your product needs live updates, streaming data, or event processing, but your architecture was designed for request-response. Bolting on WebSockets to a REST monolith is creating more problems than it solves.
You can't find engineers who've built at scale
Your job postings sit open for months. The engineers who've actually operated systems at 10M+ requests per minute aren't on the market — or they're priced out of your budget. You need that expertise without the permanent headcount.
What we build
We don't just write fast code. We design systems that stay fast as they grow.
Event-Driven Architecture
Kafka, RabbitMQ, and custom event buses designed for your domain. Event sourcing, CQRS patterns, and saga orchestration that keep services decoupled and data consistent at scale.
Streaming Data Pipelines
Real-time data processing using Kafka Streams, Flink, or custom Go services. From ingesting millions of events per second to transforming and routing them with sub-second latency.
Microservices & Distributed Systems
Service decomposition that makes sense for your scale and team. gRPC communication, service mesh, circuit breakers, and distributed tracing that keeps your system observable and resilient.
Performance Optimization
Deep profiling and optimization of existing systems. Database query tuning, caching strategies (Redis, Memcached), connection pooling, and algorithmic improvements that deliver 10x–100x speedups.
Real-Time Communication
WebSocket infrastructure, Server-Sent Events, and real-time sync systems. Presence indicators, live collaboration features, and notification systems that scale to millions of concurrent connections.
Load Testing & Chaos Engineering
We don't hope systems work at scale — we prove it. Custom load testing suites, failure injection, and resilience validation before your traffic spikes, not after.
Our high-load stack
Languages
Messaging
Databases
Caching
Communication
Observability
How we approach high-load engineering
Architecture Assessment
We profile your current system under realistic load. We identify bottlenecks, single points of failure, and architectural constraints. You get a prioritized roadmap, not a rewrite proposal.
Design & Prove
Architecture design with load models and capacity planning. We prototype critical paths and validate with load testing before committing to implementation.
Incremental Migration
We don't do big-bang rewrites. We decompose strategically, migrate incrementally, and validate each phase under production-like conditions. Zero-downtime transitions.
Operate & Optimize
Monitoring dashboards, alerting, runbooks, and on-call support. We help your team own the system with proper observability and operational tooling.
Why Pletava
Engineers who've operated at scale
Our team has built and operated systems handling 10M+ requests per minute, 1M+ concurrent WebSocket connections, and petabyte-scale data pipelines. We know what breaks and how to prevent it.
Right-sized architecture
We don't push microservices on a 3-person team or a monolith on a 50-person org. Architecture serves your team size, growth trajectory, and business constraints.
Incremental, not revolutionary
We migrate systems without stopping feature development. Your business keeps moving while the architecture evolves underneath.
Frequently Asked Questions
Can't find what you're looking for? Book a call and we'll answer everything.
Book a CallDo we need to rewrite everything from scratch?
Almost never. We specialize in incremental migrations — strangling the monolith piece by piece while your product keeps shipping. Full rewrites are risky and usually unnecessary.
What scale have your engineers worked at?
Our engineers have built systems for fintech platforms processing 500k+ transactions/day, real-time gaming backends with 1M+ concurrent users, and IoT platforms ingesting billions of events daily.
How do you handle the transition to a distributed system?
We use the strangler fig pattern: new services are built alongside the existing system, traffic is gradually shifted, and old components are retired only when the new ones are proven in production.
What if we don't know our actual performance requirements?
That's common and fine. We start with load testing your current system to establish baselines, then model expected growth to determine realistic targets. No guessing — data-driven capacity planning.
Your system needs to handle what's coming next.
Talk to engineers who've built for millions of users.
Thrilled to meet you!
Let's talk possibilities