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 provides cloud engineering services, Kubernetes consulting, and DevOps consulting services to help engineering teams deploy scalable, reliable infrastructure. From version-controlled Terraform modules to GitOps workflows and multi-cloud modernization on AWS, GCP, and Azure, we build platforms that run with automated resilience.
What We Deliver
Core engineering capabilities within Platform & DevOps, built to enterprise reliability standards.
Infrastructure as Code (IaC) Services
Reproducible, version-controlled cloud infrastructure with Terraform and Pulumi. Modular blueprints for AWS, GCP, and Azure with remote state locking and drift detection.
Kubernetes Consulting & Cluster Management
Production Kubernetes consulting services across EKS, GKE, and AKS. Namespace isolation, RBAC, pod autoscaling (HPA/KEDA), and zero-downtime cluster upgrades.
GitOps Workflows & Automated Deployments
Declarative GitOps deployments with ArgoCD or Flux. Every environment change is committed to Git, enabling instant rollbacks, audit trails, and automated canary releases.
Cloud Migration & Application Modernization
End-to-end cloud migration and modernization services. Lift-and-shift, re-platforming, and strangler-fig modernizations migrating legacy workloads to AWS or GCP with zero downtime.
Cloud Monitoring & Full-Stack Observability
Comprehensive observability with Grafana, Loki (logs), Tempo (traces), and Prometheus (metrics). Real-time alerting, service level objectives (SLO) tracking, and dashboarding out of the box.
Enterprise Security & Compliance Alignment
Network isolation policies, secrets management (HashiCorp Vault, AWS Secrets Manager), container vulnerability scanning, and infrastructure aligned with SOC 2 and ISO 27001 standards.
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.
Cloud Migration Architecture & Low-Risk Cutover Strategies
Big-bang cutovers carry extreme operational risk. We design strangler-fig migration paths where non-critical read traffic cuts over first, followed by incremental write routing, validating latency, integrity, and cost before legacy systems are decommissioned.
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 legacy software to cloud infrastructure?
We evaluate existing workloads, define target network topologies, write infrastructure as code, establish dual-write replication, and execute low-risk cutovers with automated rollback plans.
When should an engineering team adopt Kubernetes vs managed container runtimes?
Early-stage products should start on managed container runtimes (AWS ECS, Google Cloud Run) to minimize ops overhead. Adopt Kubernetes when managing distributed microservices, multi-region deployments, or complex ingress topologies.
Can you implement full cloud monitoring and observability for our existing systems?
Yes. We deploy Grafana, Prometheus, Loki, and OpenTelemetry tracing to give your engineering team real-time visibility into latency, error rates, and resource saturation.
Do you offer ongoing platform and Kubernetes 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.
