SaaS Companies Scaling Products
Engineering teams building cloud native SaaS platforms that need to scale reliably from thousands to millions of users.
Stop Shipping Quarterly.
Build Cloud Native.
Microservices, containers, and Kubernetes-native workloads — engineered for scale and rapid iteration.
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
Why Cloud Native with Privum
Built to scale.
Six numbers that explain why teams pick us when their stack has to grow with them — without breaking on the way up.
40+
Cloud Native Builds
From greenfield MVPs to enterprise platforms. We deliver — not just diagram.
99.99%
Uptime SLA
SLOs we honor on every workload we ship — backed by autoscaling and runbooks.
10x
Deploy Frequency
Independent services release without coordination. Daily — not quarterly.
70%
Faster Lead Time
From feature spec to production. Pipelines, scanning, and rollouts automated.
12-Factor
Methodology
Configuration, processes, ports, and dependencies done right from day one.
EU
Porto-Based Engineers
GDPR-compliant by default. WET timezone overlaps EU and US East. Bilingual.
What we ship
Architectures we deliver.
Six battle-tested topologies. We adapt to your stack — not the other way around.
Shared infra, isolated tenants, automated provisioning. We architect tenant isolation at the namespace, schema, or row level — and ship the onboarding pipelines that scale you to thousands of customers without re-architecting.
↓ 80% per-tenant cost · 100x onboarding speedAsync messaging with Kafka, NATS, or RabbitMQ. Decoupled services, resilient workflows, and eventual consistency patterns that survive traffic spikes — saga, choreography, and event sourcing where they fit.
0 messages lost · ↑ 5x throughputGlobal edge gateways with regional failover. Active-active deployments, DNS-based traffic steering, and cross-region replication tuned for latency targets — your users see milliseconds, not continents.
<50ms p99 globally · 0 single-region riskArgo CD or Flux pulling state from Git as the source of truth. Audit, rollback, and parity by default. PR-driven changes, drift detection, progressive rollouts — and the runbooks to make it boring.
↑ 20 deploys/day · ↓ 5min rollbackLinkerd or Istio for traffic policy, mTLS, and observability — without changing application code. Canary releases, retry budgets, and a single source of truth for east-west traffic across the cluster.
100% mTLS coverage · ↓ 60% inter-service latencyCloud cores extended to edge POPs and on-prem nodes. Sync state to cloud, run workloads close to data — k3s, KubeEdge, or AWS Outposts depending on where your workloads need to land.
↓ 70% data transit cost · ↑ 10x edge nodesFree 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.
Enterprises Modernizing Legacy Apps
Organizations moving from monolithic legacy systems to cloud native architectures without disrupting ongoing operations.
Startups Building MVP to Production
Early-stage teams that need production-grade cloud native architecture from day one to avoid costly rewrites later.
Cloud Native, In Practice
What we've learned.
Patterns and playbooks pulled from production — the things that actually work.
Strangler Fig in Practice
How to extract services from a monolith with zero downtime — the patterns we use on every modernization.
Read more
Saga vs. 2PC
Choosing data consistency patterns for microservices when distributed transactions are off the table.
Read more
HPA Tuning Cookbook
Horizontal Pod Autoscaler patterns that hold up under real traffic spikes — and what breaks at scale.
Read more
Cloud Native
Event-Driven Payments Platform
01 / 02
A high-volume payments company needed to move beyond its monolithic architecture to handle explosive transaction growth.
Tech stack
KafkaKubernetesGoPostgreSQL
Monolithic payment system handling 50K transactions/day was hitting scalability limits with increasing latency and frequent downtime.
Designed and built an event-driven microservices architecture with Kafka as the backbone, deployed on Kubernetes with automated scaling.
500K transactions/day capacity, 99.99% uptime, and 3x faster feature delivery with independent service deployments.
Outcomes & method
Cloud native for modern product teams
Cloud native engineering unlocks faster delivery, better scalability, and operational resilience. We build Kubernetes-native platforms that empower teams to ship independently and scale effortlessly.
Business outcomes
- 01
Ship features faster
Independent services and automated pipelines let teams deploy multiple times per day without coordination overhead.
- 02
Scale on demand
Kubernetes-native workloads scale horizontally to meet traffic spikes and scale down to save costs.
- 03
Resilient by design
12-factor principles and event-driven patterns ensure your applications recover gracefully from failures.
How we implement
- 01
Discover & design
We map your business domains, define service boundaries, and design a cloud native architecture that fits your team.
- 02
Build & containerize
We develop microservices, containerize workloads, and deploy to Kubernetes with automated CI/CD pipelines.
- 03
Operate & evolve
We implement observability, autoscaling, and GitOps workflows so your platform improves continuously.
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 Cloud Native Development team usually look.
A production-ready MVP typically takes 8-12 weeks. We start with a 2-week discovery phase to map domains and define service boundaries, then build iteratively with working software delivered every sprint. Complex platforms with multiple services may take 4-6 months.
Yes. We use the strangler fig pattern to incrementally extract services from your existing application. This means zero downtime and no big-bang rewrites — your system stays live while we modernize it piece by piece.
A 2-hour deep dive into your current architecture, deployment process, and scaling challenges. You receive a written report with recommended architecture, service boundaries, technology choices, estimated timeline, and a prioritized roadmap.
Not always, but Kubernetes is the industry standard for orchestrating containerized microservices at scale. For simpler workloads, serverless or managed container services may be a better fit — we recommend the right platform during assessment.
We implement event-driven patterns like event sourcing and the saga pattern to maintain consistency across service boundaries without distributed transactions. Each service owns its data, and we use message brokers like Kafka for reliable inter-service communication.
Talk to engineering
Let's talk about your Cloud Native Development strategy
Whether you're starting from scratch or scaling what you have, our engineers are ready to help.