Cloud Engineering

Modern organizations rely on cloud platforms to build scalable applications, accelerate innovation, improve operational efficiency, and support business growth.

At Adaptive Development, we help organizations design, build, deploy, integrate, and operate cloud-native solutions that are secure, scalable, and resilient.

Our experience spans application development, cloud architecture, platform operations, AI workloads, enterprise integrations, and long-term cloud platform support.

Technologies

Google Cloud PlatformFirebaseCloud FunctionsBigQueryVertex AIAWSCloud Monitoring

Capabilities

Cloud-Native Application Development

Applications designed for elasticity, managed services, and continuous delivery on cloud.

  • Serverless architectures
  • Event-driven systems
  • Managed cloud services
  • Scalable APIs
  • Distributed workflows
  • Cloud storage solutions

Cloud Architecture & Solution Design

Reference architectures, sizing, and platform choices aligned to reliability and cost.

  • Scalability
  • Reliability
  • Security
  • Performance
  • Operational visibility
  • Future growth

Application Modernization

Incremental migration from legacy stacks to cloud-native patterns without unnecessary risk.

  • Cloud migration initiatives
  • Platform modernization
  • Service decomposition
  • API enablement
  • Workflow automation
  • Integration modernization

Serverless Engineering

Event-driven and function-based workloads with operational simplicity at scale.

  • Event-driven architectures
  • Serverless APIs
  • Background processing
  • Scheduled workflows
  • Integration services
  • Cloud automation

Data & Analytics Platforms

Pipelines, warehouses, and analytics surfaces for operational and strategic insight.

  • Data pipelines
  • Reporting systems
  • Analytics platforms
  • Business intelligence solutions
  • Cloud data warehouses
  • Operational dashboards

Cloud Integrations

Connect cloud services, SaaS, and enterprise systems with reliable interfaces.

  • Enterprise systems
  • SaaS platforms
  • Third-party services
  • Data platforms
  • Communication systems
  • AI services

AI-Ready Cloud Platforms

Foundations for model serving, vector search, and governed AI adjacent to production data.

  • AI workflows
  • Machine learning services
  • Intelligent automation
  • Data processing pipelines
  • Multi-agent systems
  • Enterprise AI integrations

Cloud Monitoring & Observability

Unified visibility across compute, data, and integration layers in cloud estates.

  • Application monitoring
  • Error tracking
  • Alerting systems
  • Audit logging
  • Operational dashboards
  • Incident investigation workflows

Security & Governance

Identity, secrets, network controls, and compliance-oriented platform practices.

  • Access management
  • Identity and permissions
  • Security reviews
  • Audit support
  • Compliance considerations
  • Operational governance

Managed Cloud Operations

Day-two operations for environments our teams build or inherit from clients.

  • Platform monitoring
  • Dependency upgrades
  • Service maintenance
  • Incident management
  • Operational support
  • Environment management

Typical Cloud Engineering Use Cases

Common engagements from greenfield platforms to modernization and analytics programs.

  • Cloud-native application development
  • SaaS platforms
  • Enterprise application modernization
  • AI-enabled cloud solutions
  • Event-driven systems
  • API platforms
  • Data and analytics solutions
  • Mobile backend platforms
  • Integration hubs
  • Managed cloud operations

Cloud Technologies

Platforms and services we implement in production cloud programs.

  • Google Cloud Platform (GCP)
  • Firebase
  • Cloud Functions
  • Cloud Tasks
  • Cloud Storage
  • BigQuery
  • Vertex AI
  • AWS Services
  • Serverless Platforms
  • Cloud Monitoring & Logging

Our Approach

How we deliver outcomes with engineering discipline, transparency, and long-term ownership.

  • Scalability
  • Reliability
  • Security
  • Operational visibility
  • Cost efficiency
  • Long-term maintainability

At Adaptive Development, we help organizations build cloud platforms that support innovation, operational excellence, and sustainable growth.

Related insights

Engineering perspectives connected to this service area.

Article

What It Takes to Run IBM Sterling OMS on Google Kubernetes Engine

Adaptive Development translates a Kubernetes-proven IBM Sterling OMS 10.0.2607.1 reference to Google Kubernetes Engine—unified ingress, IBM MQ, session and JWT hardening, and GCP security.

Article

We Ran IBM Sterling OMS on Kubernetes to Cut Cost and Speed Delivery

Adaptive Development ran IBM Sterling OMS 10.0.2607.1 on Kubernetes to reduce shared-cluster cost and make OMS delivery more effective—before teams depend on OpenShift as a classroom.

Case Study

Cash on Delivery Across OMS, WMS, and TMS: What Breaks Without Orchestration

Cash on Delivery looks simple in the order capture screen—but payment is not collected until the driver hands over goods. Without orchestration across IBM Sterling OMS, warehouse fulfillment, transport management, and integration middleware, COD orders stall between shipped and paid.