Logiciel helps enterprises design, build and operate event-driven data architecture that connects applications, platforms, analytics systems and AI workflows through real-time events. From streaming pipelines and event processing to cloud cost optimization services, cloud cost management, monitoring, governance and managed operations, we build data systems that are responsive, reliable and cost-aware.

Book an Intro Call Common Questions

5 steps

Our event-driven architecture framework

3 models

Event architecture engagement models

Why Logiciel

Why Event-Driven Data Architecture Matters for Modern Enterprises.

Why Logiciel · 01

Batch workflows delay operational decisions.

Why Logiciel · 02

Applications produce events that are not captured or reused effectively.

Why Logiciel · 03

Data pipelines become tightly coupled and hard to scale.

Why Logiciel · 04

Real-time analytics requires faster ingestion and processing patterns.

Why Logiciel · 05

Cloud cost management becomes harder as streaming workloads grow.

Why Logiciel · 06

Teams lack cloud cost monitoring across event-driven infrastructure.

Why Logiciel · 07

AI and automation systems need fresh signals, not stale datasets.

What you get

What You Get When You Work With Logiciel on Event-Driven Data Architecture.

We build event-driven systems that improve speed, reliability and cloud efficiency.

A clear event-driven data architecture roadmap tied

to business priorities

Event models, topics, schemas and data flows

designed for scale

Real-time pipelines

that connect applications, APIs, databases and cloud platforms

Cloud optimization practices

built into streaming and event-processing workloads

Cloud cost management solutions

for storage, compute, messaging and processing layers

Governance, observability and access controls

across event flows

A practical event-driven operating model your teams can maintain after launch

What we build

Event-Driven Data Architecture Solutions Built for Enterprise Workloads.

Event-Driven Data Architecture Design

Architecture for events, producers, consumers, topics, queues, schemas, event buses and downstream data products.

Real-Time Event Streaming

Streaming pipelines for transactions, product activity, operational signals, system events, customer behaviour and IoT data.

Cloud Cost Optimization Services

Cloud cost optimization services for event-driven systems, including compute sizing, storage lifecycle, stream retention and workload efficiency.

Cloud Cost Management

Cloud cost management practices that track event processing cost, pipeline usage, workload growth and service-level spend.

Cloud Optimization Services

Cloud optimization services for serverless functions, containers, managed streaming services, queues, data platforms and analytics workloads.

Event Observability and Cloud Cost Monitoring

Monitoring for throughput, lag, failures, retries, schema changes, cloud cost trends and downstream data impact.

Managed Event-Driven Data Operations

Ongoing monitoring, incident response, cloud cost reduction, performance tuning, governance reviews and continuous improvement.

Engagement

Engagement Models Designed for Event-Driven Data Architecture Delivery.

Dedicated Event-Driven Data Engineering Squad

A standing team of data engineers, cloud architects, platform specialists and DevOps experts embedded into your event architecture roadmap.

Engagement

Event Architecture Advisory and Staff Augmentation

Senior event-driven architecture consultants and cloud optimization engineers who strengthen your internal platform, data or engineering teams.

Engagement

Outcome-Based Event-Driven Architecture Delivery

Fixed-scope engagements with defined event architecture outcomes, cost targets and delivery milestones agreed up front.

Engagement

Under the hood

Event-Driven Data Architecture Services We Deliver.

Event-Driven Architecture Diagnostic and Roadmap

What it meansDetailed assessment of applications, data flows, event sources, streaming platforms, cloud cost drivers and business priorities.

Event Modelling and Schema Design

What it meansEvent taxonomy, schema governance, producer-consumer contracts, compatibility rules, topic design and event lifecycle planning.

Streaming Pipeline and Event Processing Engineering

What it meansReal-time ingestion, stream processing, filtering, enrichment, routing, aggregation, retries and dead-letter queue workflows.

Cloud Cost Management and Optimization

What it meansCloud cost management and optimization for event-driven workloads, messaging services, compute, storage, data platforms and observability tools.

Google Cloud Cost Management and Multi-Cloud Optimization

What it meansGoogle Cloud cost management, AWS and Azure cost visibility, workload review, usage reporting and cost-aware architecture recommendations.

Event Observability and Reliability Engineering

What it meansDashboards for throughput, latency, lag, failures, schema changes, retries, cost, quality and downstream dependency health.

Managed Event-Driven Data Operations

What it meansOngoing platform monitoring, incident response, cost review, performance tuning, governance updates and continuous improvement.

Insights

Event-Driven Data Architecture Insights & Frameworks.

Patterns from our data and cloud engineering teams that help enterprises build responsive data systems without losing cost control.

Enterprise Event Architecture Operating Model

How we structure event ownership, schema governance, cloud cost management, reliability reviews and continuous improvement across teams.

↳ Insights

Event-Driven Cloud Cost Optimization Framework

A practical approach to ranking event workloads by business criticality, latency needs, throughput, cost growth and downstream dependency.

↳ Insights

How we work

Our Event-Driven Data Architecture Framework.

Event Architecture Diagnostic and Baseline

We assess event sources, current pipelines, cloud platforms, streaming tools, cost patterns, governance controls and business priorities.

Event Flow and Cost Driver Mapping

We map how events are produced, processed, consumed and stored, then identify latency, reliability and cloud cost optimization opportunities.

Event Platform and Pipeline Engineering

We build event models, streaming pipelines, schemas, processing workflows, cloud infrastructure and secure delivery patterns.

Reliability, Governance and Cloud Optimization

We harden the architecture with monitoring, alerts, schema controls, cost dashboards, access policies, runbooks and recovery workflows.

Event-Driven Operating Model

We hand over a repeatable event-driven data practice, including ownership, KPIs, governance reviews, cloud cost reviews and improvement cadences.

Selected work

Tailored engineering for your industry.

Zeme · Real Estate Cut development costs 50% and launched 3× faster with dedicated dev teams.

Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · Construction Scaled to 7-figure ARR with AI-augmented software teams.

Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate 56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Resources

Insights for tech leaders.

Framework · PDF

Bad Data Costs $12.9m A Year. Reverse ETL Syncs It Into The CRM.

Whitepaper · PDF

The Agentic AI Architecture Blueprint

Whitepaper · PDF

AI-Native Product Architecture Blueprint

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles

CEO, Leap

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev

Founder & CEO, Zeme

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli

Co-Founder, JobProgress

Questions

Frequently asked questions.

What does Event-Driven Data Architecture include?

Event-Driven Data Architecture includes event modelling, streaming pipelines, event processing, schema governance, producer-consumer contracts, observability, cloud cost management, cloud optimization services and managed data operations.

Why do enterprises need event-driven data architecture?

Enterprises need event-driven data architecture when batch pipelines are too slow for operational decisions, real-time analytics, automation, customer experience or AI workflows that depend on fresh business signals.

How does cloud cost optimization support event-driven systems?

Cloud cost optimization helps control spend across streaming services, storage, compute, messaging, observability and downstream analytics workloads. It prevents real-time architecture from becoming expensive as event volume grows.

Can Logiciel support Google Cloud cost management?

Yes. Logiciel supports Google Cloud cost management along with AWS and Azure cost visibility, workload review, usage reporting, cost dashboards and cloud cost optimization solutions for event-driven systems.

What are common cloud cost management solutions for event-driven workloads?

Common cloud cost management solutions include workload right-sizing, retention tuning, autoscaling, storage lifecycle policies, stream partition optimization, serverless cost review, monitoring dashboards and cost allocation by team or product.

How long does Event-Driven Data Architecture typically take?

Most engagements produce a diagnostic, roadmap and initial event-driven foundation within 4-8 weeks, while larger enterprise implementations run across phased delivery waves over several months.

Who owns the deliverables from an Event-Driven Data Architecture engagement?

You retain ownership of all event models, schemas, pipelines, integrations, dashboards, cloud cost reports, governance assets, runbooks and implementation materials.

Do you support ongoing event-driven data operations after launch?

Yes. We run managed operations with monitoring, incident response, cloud cost monitoring, reliability reviews, performance tuning, governance updates and continuous improvement.

Let's build

Accelerate Event-Driven Data Architecture.

Ready to turn Event-Driven Data Architecture into a real-time foundation for analytics, automation and AI? Partner with Logiciel to build event-driven systems that move fast, stay reliable and keep cloud costs under control.

Start an event architecture assessment

Event-Driven Data Architecture.

See Logiciel in action.

Why Event-Driven Data Architecture Matters for Modern Enterprises.

Batch workflows delay operational decisions.

Applications produce events that are not captured or reused effectively.

Data pipelines become tightly coupled and hard to scale.

Real-time analytics requires faster ingestion and processing patterns.

Cloud cost management becomes harder as streaming workloads grow.

Teams lack cloud cost monitoring across event-driven infrastructure.

AI and automation systems need fresh signals, not stale datasets.

What You Get When You Work With Logiciel on Event-Driven Data Architecture.

A clear event-driven data architecture roadmap tied

Event models, topics, schemas and data flows

Real-time pipelines

Cloud optimization practices

Cloud cost management solutions

Governance, observability and access controls

A practical event-driven operating model your teams can maintain after launch

Event-Driven Data Architecture Solutions Built for Enterprise Workloads.

Event-Driven Data Architecture Design

Real-Time Event Streaming

Cloud Cost Optimization Services

Cloud Cost Management

Cloud Optimization Services

Event Observability and Cloud Cost Monitoring

Managed Event-Driven Data Operations

Engagement Models Designed for Event-Driven Data Architecture Delivery.

Dedicated Event-Driven Data Engineering Squad

Event Architecture Advisory and Staff Augmentation

Outcome-Based Event-Driven Architecture Delivery

Event-Driven Data Architecture Services We Deliver.

Event-Driven Architecture Diagnostic and Roadmap

Event Modelling and Schema Design

Streaming Pipeline and Event Processing Engineering

Cloud Cost Management and Optimization

Google Cloud Cost Management and Multi-Cloud Optimization

Event Observability and Reliability Engineering

Managed Event-Driven Data Operations

Event-Driven Data Architecture Insights & Frameworks.

Enterprise Event Architecture Operating Model

Event-Driven Cloud Cost Optimization Framework

Our Event-Driven Data Architecture Framework.

Event Architecture Diagnostic and Baseline

Event Flow and Cost Driver Mapping

Event Platform and Pipeline Engineering

Reliability, Governance and Cloud Optimization

Event-Driven Operating Model

Tailored engineering for your industry.

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Scaled to 7-figure ARR with AI-augmented software teams.

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

Insights for tech leaders.

Bad Data Costs $12.9m A Year. Reverse ETL Syncs It Into The CRM.

The Agentic AI Architecture Blueprint

AI-Native Product Architecture Blueprint

What our clients say.

Frequently asked questions.

Accelerate Event-Driven Data Architecture.