Platform & DevOps
Infrastructure-as-code, Kubernetes, GitOps, and full-stack observability for engineering teams that need to move fast without breaking things.
Infrastructure That Runs Itself
EulerHive designs and operates cloud infrastructure that is reproducible, observable, and self-healing. From Terraform modules and Kubernetes clusters to GitOps workflows and multi-cloud deployments, we build platforms that let your product team ship with confidence.
What We Deliver
Core engineering capabilities within Platform & DevOps, built to enterprise reliability standards.
Infrastructure as Code
Reproducible, version-controlled infrastructure with Terraform and Pulumi. Modular designs for AWS, GCP, and Azure with full state management and drift detection.
Kubernetes Cluster Management
Production Kubernetes clusters on EKS, GKE, or AKS. Namespace isolation, RBAC, autoscaling, pod disruption budgets, and cluster upgrade strategies.
GitOps Workflows
Declarative deployments with ArgoCD or Flux. Every environment change is a Git commit — auditable, reversible, and automated.
Observability Stacks
Full-stack observability with Grafana, Loki (logs), Tempo (traces), and Prometheus (metrics). Alerting, dashboards, and SLO tracking out of the box.
Multi-Cloud Deployments
Workload placement across AWS, GCP, and Azure based on cost, latency, and compliance requirements. Avoid vendor lock-in with portable infrastructure patterns.
Security & Compliance Alignment
Network policies, secrets management (Vault, AWS Secrets Manager), container scanning, and engineering practices designed to align infrastructure with SOC 2, ISO 27001, and GDPR controls.
Architectural Deep Dives & Tradeoffs
Core engineering decisions, technical tradeoffs, and production standards we apply across Platform & DevOps.
When Should a Startup Use Kubernetes (And When Should They Not?)
Kubernetes introduces significant operational overhead: ingress controllers, certificate managers, control-plane upgrades, node pool autoscaling, and networking meshes. We recommend startups begin with managed container runtimes. When your team scales and requires multi-cloud portability, namespace isolation, or complex service meshes, we design a seamless, zero-downtime migration path to EKS or GKE.
Terraform vs. Pulumi: Infrastructure as Code Strategy
We write modular, version-pinned Terraform modules with remote state locking (S3/DynamoDB or Terraform Cloud) to ensure environments are completely reproducible and free from configuration drift.
GitOps Architecture with ArgoCD & Flux
Changes merge via pull requests, triggering automated test pipelines and declarative synchronization into staging and production clusters with automated canary analysis.
Technologies We Use
Battle-tested frameworks, databases, and infrastructure tools powering Platform & DevOps.
Related Case Studies
See how our Platform & DevOps practice delivered production software for verified clients.
AmpsNow: High-Performance CleanTech Web Platform
Vercel and cloud infrastructure engineered for high availability and sub-second performance.
JunixHQ: AI-Powered B2B Sales Automation SaaS
Dedicated AWS infrastructure supporting asynchronous Python/FastAPI workloads and real-time SSE streaming.
Engineering Playbooks & Guides
First-hand engineering articles relevant to Platform & DevOps.
Common Questions
Answers to what engineering leads and founders typically ask before engaging.
How do you help companies migrate to cloud infrastructure?
We evaluate existing workloads, define target network topologies, write infrastructure as code, and execute low-risk cutovers with automated rollback plans.
Can you implement full observability for our existing systems?
Yes. We deploy Grafana, Prometheus, Loki, and OpenTelemetry tracing to give your engineering team real-time visibility into latency, errors, and resource saturation.
Do you offer ongoing platform and cluster maintenance?
Yes. Our platform pods handle cluster upgrades, security vulnerability patching, cost optimization reviews, and incident response.
Other Practice Areas
One integrated engineering team across four software disciplines.
Product Engineering
Full-stack web and mobile development for startups building their first product and enterprises modernising legacy systems.
AI & Intelligent Systems
End-to-end ML pipeline development, LLM integration, and intelligent automation for businesses ready to move beyond demos.
Data Engineering
Streaming and batch pipeline design, data warehouse modelling, and real-time analytics for teams that need reliable, observable data infrastructure.
