Infrastructure & OS
Auto-scaling, spot fleets, container migration, serverless where it fits. OS refresh from legacy Windows and Linux to modern, supported versions.
EKSECSLambdaAuto-scaling
Modernization
Beyond lift-and-shift.
Beyond the go-live.
Applications, data and databases — refactored for cloud, not just moved to it.
What we do
Most estates hit the cloud lifted-and-shifted — the fastest way in, and the right first step. Modernization is what turns that landing into actual cloud advantage.
Phoenix modernizes four layers: infrastructure and OS, applications, data platforms and databases. We identify what earns its keep as-is and what should be re-shaped — and we sequence the work so the business feels the benefit at each step, not just at the end.
Inside the practice
What's in scope.
Application modernization
Refactor to cloud-native architectures — microservices, event-driven patterns, managed integration. Not for its own sake; for the specific outcomes the business asked for.
MicroservicesEventBridgeStep Functions
Data modernization
Data lakes and lakehouses on AWS — Redshift, S3, Lake Formation, Glue. SAP data sources integrated where the estate needs them.
RedshiftS3GlueLake Formation
Database modernization
Oracle to Aurora PostgreSQL, SQL Server to Aurora MySQL, self-managed to managed. Migration + refactor combined where the licensing model demands it.
AuroraPostgreSQLDMSSCT
How Phoenix delivers
The approach.
01
Baseline
What's actually running and what it costs — usage patterns, dependencies, licensing, support obligations.
02
Prioritize
Modernization backlog scored by business value, effort and blast radius. Sequenced with the customer.
03
Deliver
Iterative delivery — smallest safe unit of value first, feedback loop tight, results reported.
What you get
Named deliverables.
Every engagement lands specific artefacts — not slides.
Modernization baseline and prioritized backlog.
Reference architecture for target patterns.
Delivery of prioritized items — measured against baseline.
Runbooks and training for the modernized landscape.
Customer stories
Customers on this journey.
Real Phoenix engagements — measured outcomes at MEA scale.
Manufacturing (Plumbing)·Egypt · Germany
EGIC Group
Plumbing market-leader upgrades SAP to RISE on AWS in a month.
80% Uptime improvement100% Hardware cost reduction
Real Estate·Egypt · MENA
Arab Developers Holding
Real-estate group refactors SAP to HANA — with GenAI on top.
90% Backup time reduction11×9s Data durability (S3)
More cloud services
The wider cloud practice.
FAQ
Frequently asked
Should we modernize during migration or after?
Both patterns work. 'Migrate then modernize' de-risks the move and unlocks cloud-native investment on a stable base; 'modernize on migration' makes sense when the target-state architecture is well-defined and the workload is a strong fit for containers or serverless. The decision is workload-by-workload.
Containers or serverless — how do you decide?
Serverless (Lambda, Step Functions, API Gateway) where workloads are event-driven, spikey or genuinely stateless. Containers (ECS or EKS) where you need long-running processes, close control over the runtime, or portability across environments. Real workloads often mix both under the same landing zone.
What about the database layer?
Database modernization is a first-class track — moving classic RDBMS onto managed services (Amazon RDS, Aurora), refactoring toward purpose-built engines (DynamoDB for key/value, Amazon Timestream for time series, OpenSearch for search), and archiving cold data to Amazon S3 tiered storage.
Do you re-platform SAP workloads?
SAP's own modernization path is the S/4HANA conversion (Brownfield) or Greenfield rebuild — Phoenix delivers both. Cloud-native modernization of SAP-adjacent workloads (custom Java, .NET, batch, integrations) sits within this practice.
How is business risk managed during modernization?
Strangler-fig migrations wherever possible — new components run alongside legacy under traffic split, until confidence is established. Well-Architected reviews at defined checkpoints, and rollback plans held for every deployment window.
Talk to us
The earliest conversations
are usually the most useful.
Whether you're scoping an SAP move to cloud, restarting a stalled programme, or just trying to figure out where data and AI fit — start with a conversation.