Delivery Acceleration

Deliver 3x faster without sacrificing quality

Your releases take weeks instead of days? Manual testing, fragile deployments, repeated rollbacks. We industrialize your delivery pipeline so your teams ship fast, often, and confidently.

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The challenge

Why your delivery is slowing down your business

A slow and fragile delivery pipeline means revenue sitting in a Git branch. The symptoms are recognizable:

Bi-weekly or monthly releases — each delivery is a stressful event
Time-consuming manual testing: 2 to 5 days of acceptance before each production release
No automated quality gates — bugs make it to production regularly
Fragile deployments with manual interventions and unversioned scripts
No test automation: regressions detected by users, not by the pipeline
Frequent rollbacks: 1 in 4 deployments requires a rollback
Staging environments out of sync with production
Developers spending more time deploying than coding
Our methodology

End-to-end support, phase by phase

Each phase produces concrete deliverables. You maintain visibility and control at every step.

01 Delivery Diagnosis
02 CI/CD Architecture
03 Quality Gates & Automated Tests
04 Infrastructure as Code & Environments
05 Observability & Monitoring
06 Continuous Optimization & Training
01 1 to 2 weeks

Delivery Diagnosis

Analyze your current delivery pipeline, identify bottlenecks, assess team maturity and practices. We measure before we act.
Deliverables
  • Complete mapping of the existing CI/CD pipeline
  • Bottleneck identification (build, tests, review, deployment)
  • DORA metrics measurement (lead time, deploy frequency, MTTR, change failure rate)
  • Team DevOps maturity assessment
  • Testing practices audit (coverage, types, reliability)
  • Incident and rollback analysis over the last 6 months
  • Benchmark vs e-commerce industry standards
  • Diagnostic report with quick wins and prioritized action plan
02 2 to 3 weeks

CI/CD Architecture

Design the target pipeline: stages, quality gates, branching strategy, environment management. A delivery architecture built for speed and reliability.
Deliverables
  • Target CI/CD pipeline design (build, test, deploy, release)
  • Quality gate definition at each stage
  • Adapted branching strategy (trunk-based, GitFlow, feature flags)
  • Environment strategy (dev, staging, pre-prod, prod)
  • Tool selection and configuration (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
  • Versioning and release management policy
  • Secrets and sensitive configuration management
  • Architecture documentation and runbooks
03 3 to 4 weeks

Quality Gates & Automated Tests

Set up automated safety nets: unit tests, integration tests, end-to-end tests, code analysis. Every commit is automatically validated before reaching production.
Deliverables
  • Unit tests with target coverage > 80%
  • Integration tests on critical flows (checkout, payment, inventory)
  • Automated end-to-end tests (Playwright / Cypress) on key journeys
  • Code quality analysis (SonarQube, ESLint, PHPStan)
  • AI-assisted code review (bug detection, security, performance)
  • Automated performance tests in the pipeline (Lighthouse CI, k6)
  • Automated security tests (SAST, dependency scanning)
  • Real-time quality dashboard and automated reporting
04 2 to 4 weeks

Infrastructure as Code & Environments

Codify your infrastructure to make it reproducible, versionable, and auditable. On-demand ephemeral environments to test each feature in isolation.

-40%coûts cloud
Deliverables
  • Infrastructure as Code with Terraform or Pulumi
  • Ephemeral environments per pull request (preview environments)
  • Container orchestration (Docker, Kubernetes, ECS)
  • Production-like staging environment configuration
  • Deployment strategy (blue/green, canary, rolling)
  • Database management and automated migrations
  • Cloud cost optimization (right-sizing, autoscaling, spot instances)
  • Infrastructure documentation and disaster recovery plan
05 2 to 3 weeks

Observability & Monitoring

See what's happening in production in real time. Logs, metrics, traces, alerts — everything needed to detect problems before your users do.

S1S2S3S4S5
Deliverables
  • Complete observability stack (Datadog, Grafana, New Relic)
  • Centralized and structured logging (ELK, Loki)
  • Application and business metrics (latency, errors, throughput)
  • Distributed tracing on critical flows (OpenTelemetry)
  • Intelligent alerting with escalation and associated runbooks
  • Real-time operational and business dashboards
  • SLO/SLA definition and tracking (availability, performance, errors)
  • Post-mortem process and continuous improvement loop
06 Ongoing

Continuous Optimization & Training

Delivery improves continuously. Team coaching, process optimization, metrics tracking, and support on technical roadmap evolution.
Deliverables
  • DevOps coaching and pair programming with your teams
  • Monthly DORA metrics tracking and improvement
  • Continuous build and deployment time optimization
  • Release management and multi-team coordination
  • Technology watch and progressive adoption of new practices
  • Training on implemented tools and processes
  • Delivery retrospectives and improvement plans
  • Complete knowledge transfer and operational documentation
Business value

What you concretely gain

Expected results

Releases 3x faster

80% fewer bugs in production

Cost per release divided by 4

Releases 3x faster

From bi-weekly releases to multiple deployments per day. Your time-to-market becomes a competitive advantage, not a hindrance.

80% fewer bugs in production

Automatic quality gates, tests on every commit, AI code review — bugs are caught before reaching your users.

Cost per release divided by 4

Automation of manual tasks, elimination of human interventions on the pipeline, drastic reduction in time spent on deployment and rollback.

Optimized Developer Experience

Your developers code instead of deploying manually. Fast feedback, on-demand environments, modern tools — they stay motivated and productive.

Restored business agility

Launch a promotion in hours instead of weeks. Feature flags, progressive deployments, instant rollbacks — the business regains control of the pace.

Near-zero deployment risk

Blue/green deployments, canary releases, automatic rollback — every production release is secured. No more stressful Fridays.

Client references

They trusted us with this type of engagement

Kering — Boucheron

Multi-market CI/CD implementation (WW & APAC). Industrialized pipeline, automatic quality gates, multi-region deployments AWS/AliCloud, Kubernetes.

Truffaut

Magento + Mirakl delivery pipeline industrialization. CI/CD on AWS, automated tests, staging environments, monitoring and alerting.

VEJA

SFCC delivery migration. CI/CD pipeline implementation, automated testing strategy, quality gates, and team coaching on DevOps practices.

Frequently asked questions

Your questions, our answers

01 How long does it take to see the first results?
Quick wins arrive within the first 2 to 4 weeks: deployment automation, first quality gates, reduced build times. The full impact on DORA metrics is measured over 3 to 6 months, allowing time to stabilize the pipeline and train teams.
02 We don't have an internal DevOps team, is that a problem?
No. We start by setting up the foundations and coaching your existing developers. The goal is to make your team autonomous on the pipeline, not to create a dependency. We can also help you recruit and structure a DevOps/SRE team if the need is identified.
03 Is this compatible with our current tech stack?
Yes. Our approach is stack-agnostic: we work with your existing stack (PHP/Symfony, Node.js, Python, Java) and your current tools (GitHub, GitLab, Jenkins, AWS, GCP, Azure). We improve the existing setup before suggesting tool changes.
04 What is the required investment?
A delivery diagnosis costs between 5,000 and 15,000 euros depending on complexity. Full implementation represents 3 to 6 months of support. The ROI is measurable: cost per release drops by 60 to 75%, and developer time saved translates directly into product velocity.
05 How do you measure delivery improvement?
We use DORA metrics (Lead Time for Changes, Deployment Frequency, Mean Time to Recovery, Change Failure Rate) as our reference. These indicators are continuously tracked via shared dashboards. The goal is to reach the "Elite" level of the State of DevOps report.
06 We've already tried to automate our tests but it didn't stick, why would this be different?
Test automation failures often come from too broad a scope, flaky tests, and lack of maintenance. Our approach is progressive: we start with critical journeys (checkout, payment), use proven patterns (Page Object Model, test fixtures), and integrate test maintenance into the team's daily workflow.

Ready to accelerate your delivery?

Free 30-minute initial assessment. We analyze your current pipeline and identify quick wins — no commitment.

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