Teams with Unpredictable Traffic
Applications that experience dramatic traffic spikes and need infrastructure that scales to zero when idle and up instantly under load.
Stop Paying for Idle.
Go Serverless.
End-to-end serverless on Lambda, Cloud Functions, and beyond — zero ops, automatic scale.
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 Idle Cost
Auto-Scale
<100ms
Event-Driven
What we deliver
Our serverless services
End-to-end serverless architecture for event-driven cloud applications
Eliminate server management and cut compute costs by up to 80%. We build production-grade Lambda functions with layers, custom runtimes, and optimized cold start performance.
↓ 80% compute cost · <100ms cold startIntegrate seamlessly with your Microsoft ecosystem while scaling to zero. We implement durable functions, bindings, and enterprise integration patterns on the Azure serverless platform.
0 idle cost · ↑ 99.99% availabilityReact to events across your Google Cloud ecosystem in milliseconds. We build event-driven Cloud Functions with Pub/Sub, Cloud Storage triggers, and Firebase integration.
↓ 70% latency · ↑ 10x throughputExpose secure, high-performance APIs without managing any infrastructure. We design serverless APIs with authentication, throttling, caching, and custom domain management.
↓ 50% API latency · 0 servers managedBuild resilient workflows that never lose a message, even under peak load. We implement event sourcing, message queues, and choreography patterns for fault-tolerant serverless systems.
0 messages lost · ↑ 20x peak capacityStop overpaying for provisioned concurrency and oversized memory. We right-size functions, tune concurrency, and model pay-per-use costs to eliminate waste across your serverless estate.
↓ 60% serverless spend · ↑ 3x efficiencyFree assessment
Get a free Serverless assessment
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 Paying for Idle Compute
Organizations running always-on servers at low utilization, overpaying for compute resources they rarely use at full capacity.
Developers Wanting Zero-Ops
Engineering teams that want to focus entirely on business logic and ship features without managing servers or infrastructure.
Serverless
Serverless Image Processing Pipeline
01 / 02
A media company processing millions of images monthly needed to eliminate expensive always-on infrastructure and scale dynamically.
Tech stack
AWS LambdaS3SQSDynamoDB
10 million images per month processed on an always-on EC2 fleet costing $15K/month with significant idle capacity.
Built a fully serverless pipeline with Lambda functions triggered by S3 upload events, queued through SQS for reliable processing.
Monthly cost dropped from $15K to $2K, zero operational overhead, and the pipeline auto-scales to handle any volume.
Outcomes & method
Serverless for zero-ops cloud
Serverless eliminates infrastructure management, reduces costs to near-zero at idle, and scales automatically with demand. We architect FaaS solutions that let your team ship faster while paying only for what you use.
Business outcomes
- 01
Zero idle cost
Pay only for actual compute time — no servers running when there is no traffic, dramatically reducing infrastructure spend.
- 02
Infinite scalability
Functions scale automatically from zero to thousands of concurrent executions without any capacity planning.
- 03
Faster time to market
Focus on business logic instead of infrastructure management, shipping features in days instead of weeks.
How we implement
- 01
Assess & architect
We evaluate your workloads for serverless fit, design event-driven architectures, and define cost models.
- 02
Build & deploy
We develop functions, configure triggers, and deploy with infrastructure as code and automated pipelines.
- 03
Optimize & monitor
We implement observability, tune cold starts, optimize costs, and establish operational runbooks.
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 Serverless team usually look.
No. Serverless is ideal for event-driven, bursty, and unpredictable workloads. Long-running processes, GPU-intensive tasks, or workloads with sustained high throughput may be better served by containers or VMs. We identify the best fit during our free assessment.
We use a combination of techniques: provisioned concurrency for latency-sensitive endpoints, optimized package sizes, language-specific runtime tuning, and architectural patterns like warm-up triggers. Most functions achieve sub-100ms cold starts.
A 2-hour deep dive into your current infrastructure, traffic patterns, and cost structure. You receive a written report with serverless architecture recommendations, estimated cost savings, migration roadmap, and a prioritized list of workloads to migrate first.
Yes. We use an incremental approach — starting with the highest-ROI workloads like background jobs, file processing, and API endpoints. We migrate piece by piece so your system stays live throughout the transition.
Typical savings range from 60-90% for workloads with variable or bursty traffic. Always-on workloads at high utilization may see smaller savings. We model costs during assessment so you see projected savings before committing.
Talk to engineering
Let's talk about your Serverless strategy
Whether you're starting from scratch or scaling what you have, our engineers are ready to help.