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Engineering that delivers lasting value

Make engineering compound, not cost.

We help you pay back tech debt and implement the processes to achieve your goals for the long term.

Engineered with care and passion.

How we think

Less effort, more throughput

A small set of changes drives most of the gain in any system. Our work is finding them, shipping them, and giving your team the method to find the next ones on their own.

  • 01

    Root-cause first

    We find the binding constraint — the slow query, the synchronous handoff, the missing index — instead of optimizing what's loud.

  • 02

    Designed to compound

    Documented decisions, repeatable practices, code your team understands. Each engagement keeps paying after it ends.

  • 03

    Maximum return per effort

    We measure success in outcome per engineering hour. The highest-leverage change is often a smaller one — fewer services, less code, simpler operations.

What we do

Three places we go deep

Code that runs hot. Architecture that has to evolve. The engineering practice that holds it together.

01 · Code

Code Quality & Performance

Hands-on work in your codebase to cut latency, lower cloud spend, and make changes safer to ship.

What we do

  • Profile and optimize critical execution paths
  • Modernize legacy systems for better performance and maintainability
  • Implement meaningful testing strategies that reduce risk
  • Add production observability to validate improvements

Outcomes we measure

  • System latency and response times
  • Resource utilization and cloud costs
  • Deployment frequency and reliability
  • Code maintainability and modularity

Measurable impact

  • 10× faster

    API response time

    ML microservice: 5s → <500ms via data structure redesign.

  • −80% runtime

    ETL pipeline

    Profiled and rewrote hot paths; 2h → 20min with major resource reductions.

  • 4× throughput

    Database performance

    MySQL event store: −70% memory, −20% CPU, −45% failure rate via query optimization.

  • −50% resources

    Rust proxy

    Custom binary protocol reduced CPU −20%, memory −50% at scale.

02 · Architecture

Architecture for scale & change

Independent review, migration plans, and the first slice shipped — so the next ones are repeatable.

What we do

  • Independent architecture review and risk assessment
  • Migration planning and execution
  • Architecture decision records for team alignment
  • Hands-on implementation of the migration

Outcomes we measure

  • Deployment frequency and lead time
  • System reliability and scalability
  • Team onboarding efficiency
  • Architecture risk reduction

Measurable impact

  • 4 microservices

    Monolith → DDD

    Refactored Python monolith into hexagonal microservices; replaced Flask with FastAPI + Pydantic.

  • 3× faster delivery

    Deploy frequency

    E-commerce ingestion refactored: 10× throughput, 10× lower resource usage, −60% lead time.

03 · Engineering Practice

The engineering practice

Metrics, reviews, and incident practice that keep paying off after we leave.

What we do

  • Engineering metrics and dashboards your team actually uses
  • Effective code review and CI workflows that reduce friction
  • Knowledge sharing through mentoring, design reviews, and ADR practice
  • Incident response and postmortem processes that teams actually follow

Outcomes we measure

  • Deployment frequency and lead time
  • Incident response and recovery time
  • Code review efficiency
  • Team onboarding speed
  • Operational reliability

Measurable impact

  • 92% coverage

    Test reliability

    From 12% to 92% across services; added AI model benchmarks for fast iteration.

  • Full observability

    Distributed tracing

    OpenTelemetry + Tempo + Prometheus/Grafana + Loki; measurable reliability improvements.

  • TDD adoption

    Team mentoring

    Coaching engineers on TDD and refactoring for more reliable implementations.

  • Reproducible builds

    Nix environments

    Standardized local dev, CI, and production deployments with Nix.

Our approach

Find. Fix. Compound.

A predictable three-step methodology that delivers consistent results, from quick wins to long-term transformations.

  1. 01

    Find

    We start with measurement — identifying bottlenecks, waste, and risk through data-driven analysis.

  2. 02

    Fix

    We implement changes directly in your codebase alongside your team, ensuring knowledge transfer and ownership.

  3. 03

    Compound

    We leave behind improved practices, documentation, and tools that continue to deliver value after our engagement.

We go deep on

  • Python
  • Rust
  • Postgres
  • MySQL
  • FastAPI
  • Tokio
  • OpenTelemetry
  • AWS
  • Kubernetes

Book a 30-min intro call

Tell us what's slowing you down.

Pick any slot — no obligation. Or write to hello@elerem.com.