Teams Afraid of Deploying
Engineering teams where every production deployment feels risky, leading to infrequent releases and large, dangerous batch changes.
Stop Risking Production.
Deploy with Confidence.
Canary, blue-green, feature flags, automated rollbacks — release fast with near-zero risk.
Trusted across Europe
Industries we serve.
Engineering teams in regulated, mission-critical industries — every engagement audited, documented, and production-graded.
Banking & Payments
FinTech
PCI-DSS compliant payments and core banking infrastructure — sub-100ms p99 latency, end-to-end audit trail, and tokenization at the edge.
PCI-DSS · ISO 27001
Patient Data
Healthcare
HIPAA-aware patient data pipelines
HIPAA · SOC2
5G & Networks
Telecom
5G core network observability at scale
NFV · ETSI MANO
Retail & Marketplaces
E-Commerce
99.99% uptime during peak traffic events
PCI-DSS · GDPR
Sovereign & Public
Government
Sovereign cloud with full audit trails
eIDAS · FIPS 140-2
Fleet & IoT
Logistics
Real-time fleet tracking & IoT ingestion
MQTT · OPC-UA
Zero DowntimeRelease Strategy
Canary/Blue-GreenDeployment Patterns
Feature FlagsDecoupled Releases
Auto RollbackSLO-Driven Safety
What we deliver
Our progressive delivery services
End-to-end release engineering for safe, data-driven deployments
Shift 1% of traffic to new versions first, automatically promoting or rolling back based on real error rates — cutting deployment incidents by 95%.
↓ 95% deploy incidents · < 30s rollbackMaintain parallel production environments for instant cutover and zero-downtime deployments. One click to switch, one click to revert.
0 downtime releases · < 5s cutoverDecouple deployment from release with LaunchDarkly, Flagsmith, or open-source flag systems — ship code daily and enable features when ready.
10x release frequency · 0 feature riskRoute traffic by cohort and measure business metrics in real time. Data-driven feature decisions replace gut feelings and committee approvals.
↑ 15-25% conversion lift · Real-time metricsSLO-driven rollback triggers automatically revert deployments when error budgets are breached — no human intervention, no pager fatigue.
< 30s detection · 0 manual rollbacksAutomated analysis of latency, error rate, and business KPIs promotes or rejects releases — replacing approval meetings with production data.
100% data-driven · ↓ 80% release meetingsFree assessment
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Our engineers review your current setup and deliver a prioritized roadmap — no strings attached.
Who we help
Teams ready to scale
The three profiles where this engagement usually pays back fastest.
Companies with Deployment Freezes
Organizations that impose long deployment freezes around business-critical periods because they lack confidence in their release process.
Orgs Wanting Data-Driven Releases
Engineering organizations that want to replace gut-feeling releases with automated, metrics-driven deployment decisions.
Progressive Delivery
Canary Deployments for a Streaming Platform
01 / 02
A streaming platform needed to eliminate deployment-caused incidents and reduce their painful 4-hour rollback process.
Tech stack
FlaggerIstioPrometheusKubernetes
All-or-nothing deployments causing 2-3 production incidents per month with a 4-hour average rollback time impacting millions of users.
Implemented canary deployments with Flagger and Istio service mesh, with automated rollback triggered by Prometheus error rate metrics.
Zero deployment-caused incidents over 6 months, rollback time reduced from 4 hours to 30 seconds with fully automated detection.
Outcomes & method
Progressive Delivery for fearless releases
Progressive delivery replaces risky big-bang releases with controlled, metrics-driven rollouts. Every deployment is validated against real production signals before reaching your full user base, giving your team the confidence to ship faster.
Business outcomes
- 01
Zero-downtime releases
Canary and blue-green strategies ensure users never experience outages during deployments.
- 02
Reduced blast radius
Progressive rollouts limit the impact of defects to a small percentage of traffic before full promotion.
- 03
Data-driven decisions
Metrics-based promotion replaces gut feeling with automated analysis of real production signals.
How we implement
- 01
Assess & design
We evaluate your deployment pipeline, define release strategies, and design progressive delivery workflows.
- 02
Implement & instrument
We set up canary/blue-green infrastructure, feature flags, and metrics collection for automated analysis.
- 03
Automate & refine
We configure automated rollbacks, promotion gates, and iterate on thresholds based on production data.
Engagement model
How we work
From first call to production — a proven 4-step engagement model that keeps the conversation transparent and the velocity honest.
- 01
Discovery
We audit your current stack, identify gaps, and align on business goals.
- 02
Assessment
A detailed roadmap with priorities, effort estimates, and quick wins.
- 03
Delivery
Our engineers embed with your team and execute sprint by sprint.
- 04
Support
Ongoing monitoring, optimization, and knowledge transfer to your team.
Related disciplines
Related services
Adjacent practices that pair well with this one — most engagements blend two or three.
Common questions
Frequently asked questions
Practical answers about scope, timelines, and how engagements with our Progressive Delivery team usually look.
Canary deployments gradually shift a small percentage of traffic (e.g., 1%, 5%, 25%) to the new version while monitoring metrics. Blue-green maintains two identical environments and switches all traffic at once. Canary is better for risk-sensitive workloads; blue-green is simpler and provides instant rollback. We often recommend a combination based on your service criticality.
A typical implementation takes 4-8 weeks. The first 2 weeks cover assessment and strategy design. Weeks 3-5 involve deploying canary/blue-green infrastructure and metrics collection. The final phase configures automated rollbacks and tunes promotion thresholds based on real traffic data.
A 2-hour deep dive into your current deployment pipeline, release cadence, and incident patterns. You receive a written report with recommended release strategies, tooling options, implementation plan, and expected impact on deployment frequency and failure rates.
Not necessarily. While Istio or Linkerd provide fine-grained traffic splitting, tools like Argo Rollouts work with standard Kubernetes ingress controllers and cloud load balancers. We select the lightest-weight approach that meets your traffic management needs.
Yes. Progressive delivery operates at the deployment layer, so it integrates with any CI pipeline — Jenkins, GitHub Actions, GitLab CI, or ArgoCD. We plug into your existing build and test workflows and add the progressive rollout layer on top.
Talk to engineering
Let's talk about your Progressive Delivery strategy
Whether you're starting from scratch or scaling what you have, our engineers are ready to help.