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Cloud & Platform Engineering

Reliable platforms at scale — cloud migration, Kubernetes, serverless, FinOps, and operable infrastructure across cloud and on-prem environments.

Talk to our Cloud team View case studies

Who this CoE is for

Infrastructure modernization teams

Moving legacy workloads to cloud or modernizing existing cloud posture for scale and reliability.

Teams migrating across clouds

Rehosting, replatforming, or refactoring workloads across or within cloud environments.

Internal developer platform teams

Building self-service platforms that enable engineering teams to ship safely and frequently.

Enterprises managing cloud cost

Needing FinOps discipline, observability, and operational rigor alongside engineering delivery.

What this CoE helps you achieve

Faster deployments

Automated pipelines, quality gates, and rollback strategies that make releasing safe and repeatable.

SLO-backed reliability

Platforms with measurable uptime, observability, and incident readiness built in from the start.

Lower cloud spend

Architecture and operational patterns that reduce waste without slowing delivery teams.

Repeatable environments

Dev, test, and production parity through infrastructure-as-code and environment lifecycle automation.

What this CoE focuses on

Designing, migrating, and operating modern cloud and hybrid platforms — with reliability and operability engineered from day one.

Unreliable deployments and inconsistent environments

Cloud migrations without a clear reliability or security posture

Operational blind spots: limited observability, weak incident readiness

Runaway cloud spend from architecture and operational inefficiencies

Scaling constraints for high-throughput data and AI workloads

Infrastructure governance, access control, and compliance gaps

Why it matters

Platforms fail when reliability and operability are not engineered intentionally.

Application & Services

Workloads, containers, serverless

Platform — Kubernetes & CI/CD

Orchestration, pipelines, environments

Infrastructure — Cloud / On-Prem

Compute, networking, storage

Observability & Governance

Monitoring, cost, compliance

Reliability

How do you design for failures, recover quickly, and meet SLOs?

Security

How do you manage access, secrets, and compliance at scale?

Speed

How do you enable teams to ship safely and frequently?

Cost

How do you control cloud spend without slowing down delivery?

BeeHyv builds platforms as long-lived systems — with automation, observability, and operational readiness built in from day one.

Engineering Frameworks

Four frameworks applied across every cloud engagement.

Platform & Infrastructure Automation

IaC, CI/CD, self-service provisioning with guardrails.

Capabilities

Assets

IaC standards and reusable modules
Environment lifecycle automation
CI/CD templates, quality gates, rollback
Self-service with security guardrails
Release engineering patterns
Pipeline DSL libraries
Multi-cloud provisioning templates

Cloud Migration & Modernization

Assessment-driven migrations with coexistence strategies.

Capabilities

Assets

Phased modernization roadmaps
Rehost/replatform/refactor playbooks
Cutover and rollback strategies
Post-migration stabilization
Network/identity/security baselines
Performance optimization guides
Migration assessment templates

FinOps & Cost Optimization

Unit economics, rightsizing, and continuous cost control.

Capabilities

Assets

Cost baselining by service/environment
Unit economics (cost per user, API call)
Rightsizing and savings plans
Budget guardrails and anomaly detection
FinOps dashboards
Continuous optimization playbooks
Cost allocation models

How we deliver

Typical squad composition

Platform Engineers

Infrastructure, Kubernetes, CI/CD, IaC

Cloud Architects

Architecture, migration planning, FinOps

Security Engineers

Access control, secrets management, compliance

SRE/DevOps

Observability, SLOs, incident response

Delivery Approach

1

Assess

2

Automate

3

Harden

4

Optimize

5

Transfer

Technology Stack

Representative work

Case Studies

7-Years run

Multi-Cloud CI/CD Platform

Built CI/CD pipelines in Jenkins across AWS, Azure, GCP, OCI.

  • 7-Years partnership
  • Acquired by Cisco
  • Accelerated release cycles

114M consults

National Telemedicine Infrastructure

Scalable Azure infrastructure for 114M+ telemedicine consultations.

  • National scale
  • Near real-time processing
  • Azure Synapse + Power BI

114M consults

Zero downtime

Payment Platform Migration

Legacy Struts → React SPA with BFF layer.

  • PCI-DSS compliant
  • Rollback-safe deployments
  • Self-serve reduced eng intervention

Ready to build?

Ship AI that works
at production scale.

From prototype to production. From platform to population scale.

Talk to our team See case studies