Why Enterprises Fear Cloud Migrations
Legacy monolithic systems often carry decades of accumulated operational knowledge. Migrating these systems to modern AWS, Azure, or GCP cloud infrastructure creates anxiety around data loss, transactional inconsistencies, and catastrophic cutover outages.
Logics Limited approaches cloud migration not as an all-at-once event, but as a continuous, risk-mitigated phased progression backed by mathematical guarantees of data consistency.
The Strangler Fig Pattern and CDC Synchronization
Rather than shutting down legacy infrastructure for a weekend cutover, we employ the Strangler Fig architecture:
1. Change Data Capture (CDC): Using tools like Debezium and Apache Kafka, every transaction committed on the legacy database is streamed in real time to the cloud target cluster with sub-second replication latency.
2. Bi-Directional Synchronization: Before cutover, writes can be echoed back to the legacy system to allow instantaneous, zero-data-loss rollback if anomalies appear.
3. Microservice Extraction: High-value APIs and service boundaries are extracted into containerized Kubernetes pods that run alongside the legacy backend.
Multi-Cloud Governance and Cost Hardening
Migrating to the cloud without governance leads to cloud sprawl and unexpected monthly billing surges. Logics Limited provisions all cloud infrastructure through declarative Terraform and OpenTofu modules, embedding FinOps guardrails, auto-scaling thresholds, and idle-resource destruction policies.