Platform243
Our Services

End-to-End Digital Transformation

We architect, build, and secure the systems that move your business forward. Four modernization disciplines, one standard — production-grade, or it does not ship.

01 / 04

Infrastructure Modernization

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The Problem

Legacy infrastructure taxes every release: slow deployments, brittle uptime, runaway cloud bills, and teams firefighting instead of shipping.

Our Approach

We modernize the foundation itself — re-platforming workloads to the cloud, hardening Kubernetes, and codifying everything as infrastructure so the reliable path becomes the default. SRE discipline turns uptime from a hope into a measured SLO.

Deliverables
  • Cloud migration & re-platforming roadmap
  • Kubernetes platform tuning & autoscaling
  • Infrastructure-as-code modules (Terraform)
  • CI/CD golden paths with policy-as-code gates
  • SRE practice — SLOs, error budgets, on-call
  • Observability & FinOps cost guardrails
Technology
AWSAzureGCPKubernetesTerraformArgoCDIstioPrometheusDatadog
02 / 04

Application Modernization

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The Problem

A monolith moves at the speed of its slowest team. One change risks the whole system, releases are rare and nerve-wracking, and scaling one feature means scaling everything.

Our Approach

We decompose the monolith deliberately — domain-driven microservices, event-driven choreography, and cloud-native delivery — so teams deploy independently and safely. Performance is engineered in from the design, not diagnosed after the incident.

Deliverables
  • Domain decomposition & microservices design
  • Cloud-native re-platforming (containers, 12-factor)
  • Event-driven architecture (Kafka / EventBridge)
  • API & contract design (REST / gRPC / GraphQL)
  • Performance & load engineering
  • Progressive delivery (blue-green, canary)
Technology
KubernetesDockerKafkagRPCGraphQLGoNode.jsRedisOpenTelemetry
03 / 04

Data & AI Modernization

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The Problem

Data sprawls across warehouses, spreadsheets, and shadow pipelines no one trusts. Reporting is late, governance is theoretical, and AI is impossible without a foundation.

Our Approach

We've built data platforms for institutions where accuracy isn't a preference — it's a regulatory requirement. We bring that discipline to lakehouse migration, warehousing, and governed analytics, treating data as a product so BI is trustworthy and AI is production-ready.

Deliverables
  • Big-data & warehouse migration to lakehouse
  • Delta Lake / Iceberg medallion architecture
  • Real-time streaming pipelines (Kafka / Flink)
  • Governed analytics — lineage, quality & cataloging
  • BI & self-serve semantic layer
  • AI/ML foundations — feature stores, RAG, MLOps
Technology
SnowflakeDatabricksDelta LakeApache IcebergKafkadbtBigQuerySparkPyTorchMLflowLangChainPower BI
04 / 04

Cloud Security

Explore Cloud
The Problem

Cloud misconfigurations are the new front door. Security bolted on at the end fails audits and breaches alike — and most teams cannot prove their controls, let alone defend them in real time.

Our Approach

We secure cloud environments by design and defend them in operation: continuous posture management, adversarial testing, and a monitored SOC with SIEM so threats are caught and contained — not discovered in the headlines.

Deliverables
  • Cloud security posture management (CSPM)
  • Zero-trust identity & network design
  • Penetration testing & red-team exercises
  • Managed SOC — 24/7 detection & response
  • SIEM & threat-monitoring pipeline
  • Compliance mapping (SOC 2 / ISO 27001 / OSFI)
Technology
WizPrisma CloudOktaHashiCorp VaultSnykCrowdStrikeSplunkAWS GuardDuty

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