Cloud Migration Service

We analyze your current cloud infrastructure to identify every service, dependency, data store, and integration point. Each component is classified as lift-and-shift, refactor-required, or keep-in-cloud based on technical requirements and cost analysis. Some services - like managed ML inference or global CDN - may stay in the cloud while compute-heavy workloads move to dedicated hardware.

The migration plan includes a detailed timeline, risk assessment, rollback procedures, and cost projection. You see the expected monthly savings before committing. We also identify hidden cloud costs - data transfer fees, NAT gateway charges, CloudWatch costs - that make the savings case even stronger.

Databases are the hardest part of any migration. We use replication-based migration strategies that keep your source and destination databases in sync during the transition. Applications cut over to the new database with seconds of downtime - often during a maintenance window your users never notice.

For object storage, we replicate data incrementally using background sync jobs. Terabytes of data transfer over days or weeks while your application continues serving from the original location. The final cutover switches the storage endpoint after verifying data integrity checksums on every object.

Applications tightly coupled to cloud-specific services need refactoring before migration. We replace AWS SQS with RabbitMQ, DynamoDB with PostgreSQL or MongoDB, Lambda functions with containerized workers, and S3-specific APIs with S3-compatible object storage. Each replacement is tested for functional parity and performance equivalence.

We containerize applications that run on EC2 instances or Elastic Beanstalk, giving you the portability benefits of Docker without the lock-in of a specific cloud provider. The containerized application runs identically on AnubizHost, on your laptop, or on any other infrastructure - true portability.

After migration, we optimize your new infrastructure for dedicated hardware characteristics. Cloud applications are often architected around ephemeral, underpowered instances. On dedicated servers with predictable performance, we tune database buffer pools, increase connection pools, leverage local NVMe storage for caching, and remove unnecessary redundancy layers that only existed to compensate for noisy-neighbor effects.

We provide a 90-day post-migration support period covering performance tuning, bug fixing, and architecture adjustments. Monthly cost comparison reports show your actual savings versus cloud spending. Most clients see the full ROI of migration within three to four months.