Cloud Engineering Services | Migration, Modernisation, Platform Engineering, FinOps

Cloud and platform partnerships

AWS
Microsoft Azure
Google Cloud
Snowflake
Databricks
Kubernetes

Cloud as a platform, not a project

Relentless innovation requires the cloud. In the cloud, adaptive enterprises gain the agility and flexibility necessary to thrive, paving the way for new business models, cutting-edge products, and faster time-to-market. As cloud becomes the default platform for nearly every digital use case, the conversation has shifted from "how do we move to the cloud" to "how do we use cloud the native way to enable innovation, as it was intended?"

The hard part is no longer getting to the cloud. It is making the cloud actually deliver. Cost discipline. Platform engineering that scales. Cloud-native architecture for the new generation of AI and data workloads. Security and compliance built in. Migration paths that do not break the business while they happen.

Innovative does cloud as a platform. We bring 29 years of enterprise IT services, deep production experience across AWS, Azure and GCP, and the reference of cloud modernisation at the scale carrier and tier-1 bank operations actually require. Including the re-architecture of AT&T's CDR collector framework from 90 legacy nodes to 20 Kubernetes-native nodes processing the same 6 billion records per day, with better record-capture accuracy than the original.

We work end-to-end across cloud strategy, migration, cloud-native engineering, platform engineering, DevOps, FinOps and the security and compliance that production cloud requires.

Our Cloud Engineering Services

Cloud Strategy and Advisory

Our cloud infrastructure advisory services guide your business in designing, implementing and optimising cloud environments. Cloud strategy, total-cost-of-ownership analysis, migration planning, vendor selection and the architectural decisions that define the next decade of your cloud spend.

What we cover: cloud portfolio assessment, build-versus-buy analysis, multi-cloud and hybrid cloud strategy, target operating model design, vendor selection and contract structuring, and the trade-offs you will live with for years after the decisions are made. Our advisory work is grounded in production engineering experience, not framework methodology, so the recommendations are executable and the trade-offs are honest.

Cloud Migration and Modernisation

Lift-and-shift, replatforming, refactoring and full cloud-native re-architecture. We have done large-scale cloud migrations across financial services, telecom and enterprise IT, and we know how to plan migrations that do not break the business while they run.

Our approach covers discovery and dependency mapping, wave planning aligned to business risk, migration tooling selection (CloudEndure, Carbonite, hyperscaler-native services, custom tooling), parallel-run validation, cutover planning, and the post-migration optimisation that turns a successful migration into a successful cloud deployment. We use AI-assisted tooling for the routine portions of legacy code analysis and refactoring, freeing engineering time for the parts that need human judgement.

Cloud-Native Application Engineering

Microservices architecture, container engineering, serverless design, API-first development and the cloud-native patterns modern applications need to scale and remain maintainable. Built across AWS, Azure and GCP.

Specific deliverables: microservices architecture and decomposition strategies for legacy monoliths, containerisation with Docker, orchestration on Kubernetes (EKS, AKS, GKE, or self-managed), serverless engineering on Lambda, Azure Functions and Cloud Functions, API design and management on the major API gateways, event-driven architecture with Kafka, EventBridge or Pub/Sub, and the integration patterns that connect cloud-native applications to enterprise systems already running.

Platform Engineering and Kubernetes

Internal developer platforms (IDPs), Kubernetes engineering, GitOps, infrastructure as code and the platform engineering that lets your application teams ship faster without owning the infrastructure.

The shift to platform engineering is one of the most consequential changes in enterprise IT in the past five years. Done well, it gives your application teams a paved road to production and centralises operational discipline (security, compliance, observability, cost) at the platform layer. Done badly, it creates an internal-platform team that becomes the new bottleneck. We have built and operated platform engineering organisations at scale, with the AT&T DCAE re-architecture as the reference engagement. We bring opinionated views on platform tooling (Backstage, ArgoCD, Crossplane, Terraform, Pulumi).

DevOps and SRE

CI/CD pipeline engineering, deployment automation, observability and monitoring, incident response and the SRE practices production systems need. Built around your existing tooling: GitHub Actions, GitLab CI, Jenkins, ArgoCD, Terraform, Pulumi and others.

Specific deliverables: CI/CD pipeline design and implementation, deployment automation including blue-green and canary patterns, infrastructure as code, observability stack engineering (Datadog, New Relic, Grafana, Prometheus, hyperscaler-native monitoring), incident response process and tooling, SLO and error budget design, and on-call operating models.

Cloud FinOps and Cost Optimisation

Cloud spend has become one of the largest IT line items at most enterprises. Our cloud FinOps expertise helps you ensure that every dollar spent on cloud delivers maximum value: tagging strategy and enforcement, cost allocation and chargeback, right-sizing analysis, reserved capacity and savings plan optimisation, and the engineering changes that produce durable cost reduction without sacrificing performance.

This work pays for itself faster than any other engagement we run. A typical FinOps engagement at enterprise scale identifies 20% to 40% in addressable cloud spend within the first 90 days, with the engineering work to capture it running over the following two to three quarters.

Cloud Security and Compliance

Our cloud security services protect your digital assets with security measures tailored for cloud environments. Robust protection against cyber threats, data breaches and unauthorised access, maintaining the integrity and confidentiality of your information.

Coverage includes security architecture for cloud-native and hybrid environments, identity and access management, encryption strategy and secrets management, network security including zero-trust patterns, container and Kubernetes security, and compliance alignment for SOC 2, HIPAA, PCI, GDPR and regulated-industry frameworks.

Intelligent Applications on Cloud

Intelligent applications leverage AI, ML and data analytics to deliver smarter, more responsive user experiences. They learn from data, adapt to user behaviour and preferences, and provide personalised, predictive and proactive functionality.

We help you integrate intelligent capabilities into your applications, whether through hyperscaler-native AI services (Azure Cognitive Services, AWS AI services, Google Cloud AI), foundation model integration, or custom ML models. The result is software that is smarter at launch and continues to get smarter as it learns from real-world usage.

AI Infrastructure on Cloud

AI workloads have become a major and growing component of cloud spend. We engineer AI infrastructure for cost, performance and operational reliability. Model serving, inference optimisation, GPU scheduling and the deployment patterns AI workloads specifically require.

Specific deliverables: model serving infrastructure on vLLM, TGI, hyperscaler-native serving (SageMaker, Vertex, Azure ML); GPU scheduling and capacity management on Kubernetes or hyperscaler-native; inference cost optimisation through caching, batching and quantisation; the AI observability layer (separate from standard application observability); and the data infrastructure connecting your AI systems to enterprise data sources.

Data Platform on Cloud

The data platform is often the largest single workload on cloud. We design and build cloud data platforms on Snowflake, Databricks, BigQuery, Redshift and equivalents.

See our Data Engineering page for full detail.

Featured Engagement

AT&T DCAE Re-Architecture

Re-architected AT&T's CDR collector framework from a 90-node legacy deployment to a 20-node Kubernetes-native platform processing the same 6 billion records per day. The new architecture caught records the original was silently dropping, reduced infrastructure footprint by more than 75%, and modernised the underlying network processing framework. The reference engagement that defines our cloud platform engineering capability, and the kind of work we are built to do.

How a cloud engagement works

Discovery and assessment. Current-state architecture, cloud readiness, cost analysis and the strategic options.
Strategy and architecture. Target architecture, migration roadmap, platform selection, governance framework.
Migration and engineering. Phased migration, cloud-native build, platform engineering, DevOps, security.
Optimisation. FinOps, performance tuning, security hardening, observability.
Run and evolve. Managed cloud operations, ongoing optimisation, expansion of cloud capabilities.

Industry-tailored cloud solutions

Financial services. Multi-tenant cloud platforms for regulated workloads, secure data architecture, AI infrastructure for production ML, and the compliance posture tier-1 banks require.
Telecom and media. Carrier-scale cloud-native platforms (Kubernetes, microservices), real-time data infrastructure, OTT and streaming engineering.
Retail and CPG. Composable commerce on cloud, peak-season scaling, real-time inventory and demand infrastructure.
Life sciences and healthcare. HIPAA and GxP-aligned cloud, validated data platforms, hyperscaler healthcare service integration (Azure Health Data Services, AWS HealthLake, Google Cloud Healthcare).

Why choose Innovative for Cloud Engineering

29 years of enterprise IT services
Production references at carrier and tier-1 bank scale
150+ engineers across Princeton, Hyderabad and Pune
Cloud and platform partnerships with AWS, Azure, GCP, Snowflake, Databricks
Hybrid onshore-offshore model with onshore architects in Princeton
WBENC-certified MWBE

Frequently Asked Questions

Are you cloud-vendor neutral?: Yes. We have deep production experience across AWS, Azure and GCP. We make platform recommendations based on your specific workload, your existing tooling, your team's skills and your cost profile.
Can you support multi-cloud and hybrid cloud strategies?: Yes. Multi-cloud is increasingly the default for enterprises that have grown through acquisition, and hybrid cloud is the reality for industries with on-prem and regulatory constraints. We engineer for both.
How quickly can FinOps work pay for itself?: A typical FinOps engagement at enterprise scale identifies 20% to 40% in addressable cloud spend within the first 90 days. The engineering work to capture it runs over the following two to three quarters.
Do you provide managed cloud operations?: Yes, on a hybrid onshore-offshore model. Available as a standalone service or as a continuation of an engineering engagement.
Can you work with our existing platform engineering team?: Yes. We work as embedded engineers, as a managed delivery squad, or as advisory support depending on what your team needs.

Cloud Engineering.