Cloud & DevOps

Ship Faster, Scale Infinitely

Oronts provides cloud and DevOps consulting services from Munich, Germany. We help businesses migrate to the cloud, set up Kubernetes clusters, build CI/CD pipelines, and implement infrastructure as code with Terraform and Pulumi. Our platform expertise spans Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). We deploy and manage container orchestration with Kubernetes (EKS, AKS, GKE), serverless computing with AWS Lambda, Azure Functions, and Cloud Run, and managed database services including RDS, Cosmos DB, and Cloud SQL. Our CI/CD pipeline architecture covers GitHub Actions, GitLab CI, Jenkins, and ArgoCD for GitOps-based continuous deployment. We implement full-stack observability with Prometheus, Grafana, Loki, Jaeger, and OpenTelemetry for metrics, logs, and distributed tracing. Security is built into every layer with least-privilege IAM policies, network segmentation, encrypted storage, container scanning with Trivy and Snyk, and SOC2/ISO 27001 compliance guidance. We also specialize in infrastructure cost optimization through right-sizing, reserved instances, spot instance strategies, and architecture redesigns that significantly reduce monthly hosting bills.

We build scalable infrastructure that's reliable, cost-efficient, and automated so your team can focus on shipping features, not managing servers.

terminal
$kubectl apply -f production.yaml|
deployment.apps/production configured
service/production-svc unchanged
✓ rollout status: 3/3 replicas ready
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Cloud Services

Everything you need to run production workloads at scale, from initial platform migration to ongoing infrastructure operations.

Active

Cloud Migration

Move workloads from on-premise or legacy hosting to AWS, Azure, or GCP with a structured migration plan and minimal disruption.

Active

Kubernetes & Containers

Container orchestration with Kubernetes, from cluster setup to production-grade operations.

Active

CI/CD Pipelines

Automated build, test, and deploy pipelines that ship code safely, multiple times per day.

Active

Monitoring & Observability

Full-stack observability with metrics, logs, traces, and alerting. Know before your users do.

Active

Infrastructure as Code

Terraform and Pulumi for reproducible, version-controlled infrastructure. No manual console changes.

Active

Cost Optimization

Right-sizing, reserved instances, spot strategies, and architecture changes that cut infrastructure bills.

Cloud Provider Expertise

We're cloud-agnostic. We recommend the provider that best fits your workload and compliance needs.

AWS

Amazon Web Services

ECS/EKS
Lambda
RDS
S3
CloudFront
SageMaker

The broadest service catalog. Best for complex architectures, machine learning, and global deployments.

Azure

Microsoft Azure

AKS
Functions
Cosmos DB
Blob Storage
Front Door
DevOps

Strong enterprise integration with Microsoft stack. Best for hybrid cloud and .NET workloads.

GCP

Google Cloud Platform

GKE
Cloud Run
BigQuery
Cloud SQL
Vertex AI
Cloud CDN

Leading data and AI capabilities. Best for data engineering, BigQuery analytics, and Kubernetes-native workloads.

CI/CD Pipeline Architecture

Automated pipelines that take code from commit to production safely and quickly.

Commit

Code pushed to Git triggers automated pipeline

GitHubGitLab

Build

Compile, lint, and create container images

DockerBuildkit

Test

Unit, integration, and E2E tests run in parallel

JestPlaywright

Security

SAST, dependency scanning, and container scanning

SnykTrivy

Deploy

Progressive rollout to staging, then production

ArgoCDHelm

Monitor

Post-deploy health checks and performance monitoring

GrafanaPrometheus

Monitoring & Observability

Complete visibility into your systems, from infrastructure metrics to application traces.

System Monitor
All Systems Operational
CPU
67%
Memory
4.2GB
Latency
23ms
Uptime
99.90%

Metrics

CPU, memory, request rates, error rates, and custom business metrics.

PrometheusGrafanaDatadog

Logs

Centralized log aggregation with structured logging and full-text search.

LokiELK StackCloudWatch

Traces

Distributed tracing across services to find bottlenecks and errors.

JaegerOpenTelemetryTempo

Infrastructure Stack

A layered approach to reliable, scalable cloud architecture.

Monitoring

Grafana / Prometheus

L4

Services

APIs / Microservices

L3

Containers

Docker / Kubernetes

L2

Infrastructure

AWS / Azure / GCP

L1

Infrastructure Impact

Measurable improvements from our cloud and DevOps projects.

45%

Average reduction in monthly infrastructure spend

*based on client infrastructure audits, 2024-2025

99.9%

Infrastructure uptime with automated failover

*production monitoring data

10x

Faster deployments with CI/CD automation

*compared to manual deployment workflows

75%

Less time spent on manual infrastructure tasks

*based on client project outcomes, 2024-2025

Our Open Source Plugins & Bundles

We develop and maintain open-source Vendure plugins and Pimcore bundles. Production-tested in real client projects.

Vendure Data Hub Plugin

Enterprise ETL & data integration plugin for Vendure. Visual pipeline builder, 9 extractors, 61 transform operators, 24 entity loaders, feed generators for Google Merchant & Amazon, and real-time monitoring.

VendureETLTypeScriptE-Commerce
View on GitHub

Pimcore Asset Pilot Bundle

Intelligent rule-based asset organization for Pimcore 12. Priority-based rule engine with Twig path templates, expression language conditions, async processing via Symfony Messenger, localized folder structures, audit logging, and unused asset detection.

PimcoreDAMPHPSymfony
View on GitHub

More plugins coming soon. We actively contribute to the commerce open-source ecosystem.

Frequently Asked Questions

The best provider depends on your workload characteristics, compliance requirements, and existing infrastructure. AWS has the broadest service catalog and is usually the default for complex architectures with many moving parts. Azure integrates well with Microsoft tools like Active Directory, Office 365, and .NET, so it is a natural fit if your organization already relies on the Microsoft ecosystem. GCP leads in data engineering and machine learning with BigQuery, Vertex AI, and managed Kubernetes (GKE). For most new projects, we recommend starting with a single provider to keep operational complexity low. Multi-cloud strategies make sense when you have specific compliance requirements (like data residency in regions only one provider covers) or when you want to avoid vendor lock-in for critical workloads. We analyze your specific situation, including traffic patterns, team skills, and budget constraints, and recommend the approach that balances cost, performance, and operational simplicity.
A typical cloud migration ranges from €20K to €150K depending on the number of services, data volume, and complexity of your existing infrastructure. A straightforward lift-and-shift of a few web services to managed cloud instances sits at the lower end. A full re-architecture involving containerization, database migration, CI/CD pipeline setup, and monitoring instrumentation across dozens of services falls at the higher end. Before committing to any budget, we run a detailed assessment that maps your current infrastructure, identifies dependencies, and estimates effort for each migration step. This assessment usually takes 1-2 weeks and produces a phased migration plan with clear cost estimates per phase. Monthly infrastructure costs after migration vary widely, but many clients see a 30-45% reduction in hosting spend compared to on-premise or legacy hosting, particularly when we implement auto-scaling and right-sizing from the start.
Yes, we offer managed cloud services that function as your dedicated DevOps team. This includes 24/7 infrastructure monitoring with automated alerting, incident response with defined SLAs, regular security patching, and quarterly optimization reviews. Our monitoring covers CPU, memory, disk, network, application errors, and custom business metrics through Grafana dashboards that your team can access anytime. When an alert triggers, our on-call engineer investigates and resolves the issue, then sends you a post-incident summary explaining what happened and what we did to prevent recurrence. We also run monthly cost optimization reviews where we analyze your cloud spending, identify underutilized resources, and recommend adjustments like reserved instances or right-sizing. For instance, one client reduced their monthly AWS bill by 40% just through reserved instance planning and removing unused resources we identified during our first review. You can scale this support up or down based on your needs.
Security is built into every layer of our cloud architecture, not added as an afterthought. We implement least-privilege IAM policies where every service and user gets only the permissions they actually need, reducing the blast radius if credentials are compromised. All data is encrypted at rest (AES-256) and in transit (TLS 1.3). Network segmentation isolates services in private subnets, with public access only through load balancers and WAFs. In the CI/CD pipeline, every build runs through dependency scanning (Snyk) and container image scanning (Trivy) before anything reaches production. We conduct quarterly security reviews and maintain audit logs that cannot be tampered with. For companies pursuing compliance certifications, we help prepare for SOC2 and ISO 27001 audits by implementing the required controls and documenting evidence. For instance, we set up centralized logging, access reviews, and change management processes that satisfy auditor requirements.
We start with an audit of your existing infrastructure to understand what is working well and where the gaps are. There is no need to tear everything down and start over. Most organizations have a mix of well-configured services and areas that need attention, such as missing monitoring, inconsistent deployment processes, or over-provisioned resources. We create a prioritized improvement plan and implement changes incrementally, starting with the highest-impact items. For instance, if your servers run fine but deployments are manual and error-prone, we set up CI/CD pipelines first while leaving the rest untouched. If your infrastructure runs on bare EC2 instances without auto-scaling, we can containerize services gradually, one at a time, without disrupting production. Each change is tested in a staging environment before applying it to production. This incremental approach reduces risk and lets you see measurable improvements within weeks rather than waiting months for a complete overhaul.
Yes, we build serverless applications using AWS Lambda, Azure Functions, and Google Cloud Run. Serverless is particularly well suited for workloads with variable traffic, because you pay only for actual execution time rather than keeping servers running 24/7. This makes it cost-effective for APIs with unpredictable request volumes, scheduled data processing jobs, and webhook handlers that fire occasionally. For instance, a document processing pipeline that runs once an hour costs pennies with Lambda compared to a dedicated server running continuously. We also use Cloud Run for containerized services that need the flexibility of Docker without the operational overhead of managing Kubernetes clusters. The trade-off with serverless is cold start latency and execution time limits, so it is not ideal for long-running processes or applications requiring persistent WebSocket connections. We help you identify which parts of your system benefit from serverless and which are better served by containers or traditional compute.

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Let's design a cloud architecture that scales with your business and fits your budget.