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Data migration building blocks

A data migration toolkit for bulk operations and custom flows.

ATvega is focused on reusable components for large-scale data movement. The work centers on specialized clients for storage access, database operations, and orchestration so migration tasks can be assembled around specific business needs.

What ATvega offers

A set of focused components for bulk object & file operations, database actions, and coordinated flow orchestration.

Design approach

Components are built to be combined into custom migration workflows rather than forcing every project into a single fixed pattern.

Products and components

Focused building blocks for migration and data movement.

The current component set is organized around practical capabilities for bulk operations, storage access, database work, and flow control.

Category: Migration Workflows

Use the product set for one-time or phased migrations across object, file, and database systems with orchestration and reporting.

Category: Real-time and Continuous Sync

Use the same components for recurring or near real-time sync flows such as S3-to-Blob, including change detection, retries, and operational monitoring.

ATDellCASClient

Handles large/bulk operations like download, upload, delete, and related actions on Dell Centera or ECS using the CAS protocol with remarkable performance.

ATS3Client

Handles large/bulk operations like read, download, upload, delete, reports, and related actions on any S3-compatible system such as Dell ECS, NetApp StorageGrid, NetApp ONTAP, AWS S3, and similar platforms with remarkable performance.

ATDBClient

Handles large/bulk query, insert, update, and related operations on known database systems with remarkable performance.

ATGenFileClient

Handles large/bulk operations like read, download, upload, delete, reports, and related actions over general NFS and SMB protocols with remarkable performance.

ATAzureBlobClient

Handles large/bulk operations like read, download, upload, delete, reports, and related actions on Azure Blob storage.

ATflow

Master/controller that orchestrates data flows using different components for end-to-end migration workflows.

Many more coming

The component set continues to expand with more protocols, storage targets, and workflow capabilities.

Solutions

Custom flow support for migration and sync scenarios.

We use these components to build focused data flows for both migration and continuous sync workloads, based on specific business logic and operational requirements.

Solution Pattern 1

Dell ECS CAS bucket to Azure Blob objects migration with database updates.

Dell ECS CAS to Azure Blob migration with database updates
  • Get the meta-data and the Clip-ID from a source database.
  • Download the objects from Dell CAS storage.
  • Upload the data to Azure Blob storage.
  • Update the database with the resulting status or reference details.

Solution Pattern 2

S3-compatible source to Azure Blob migration

S3-compatible source to Azure Blob migration
  • Pull content from S3-compatible systems such as Dell ECS or AWS S3.
  • Apply bulk transfer and reporting logic.
  • Publish the transferred data to Azure Blob storage.
  • Track progress and completion through the workflow controller.

Solution Pattern 3

S3-to-S3 migration.

S3-to-S3 migration flow
  • Copy large data sets between S3-compatible systems.
  • Apply bulk transfer, reporting, and metadata handling.
  • Support multi-source and multi-destination migration scenarios.
  • Track transfer progress and completion through the orchestration flow.

Solution Pattern 4

Blob-to-S3 migration.

Blob-to-S3 migration flow
  • Move data from Azure Blob storage to S3-compatible storage.
  • Support large-scale object movement with reporting and validation.
  • Fit into broader workflows that combine object storage and database updates.
  • Reuse the same orchestration model for additional storage targets.

Solution Pattern 5

Continuous bi-directional sync between Blob & S3

Continuous bi-directional sync between Blob and S3
  • Run scheduled or continuous sync from S3-compatible source buckets to Azure Blob containers.
  • Detect and process new or changed objects during each cycle.
  • Support reporting, retries, and integrity-oriented transfer checks.
  • Reuse ATFlow orchestration for long-running sync operations along with bulk migrations.

Solution Pattern 6

Many more migrations and sync patterns are possible.

Any-to-any migration and sync solution
  • Additional combinations can be assembled for file-to-object, object-to-file, and any-to-any migration needs.
  • The same toolset can run one-time migrations and ongoing sync jobs depending on the workload.
  • Each flow can be tailored to transfer volume, sync frequency, and reporting requirements.
  • The orchestration model can be reused across different storage and database environments.

About

ATvega is building practical migration tooling around reusable components.

The focus is on dependable building blocks for bulk operations, storage access, database work, and orchestration rather than a single fixed product path for every migration.

Contact

Let’s discuss the migration need you are working on.

If you want to talk through a specific storage target, database workflow, or custom data movement scenario, get in touch and we can discuss how the components may fit. Reach us at

Support

Support is aligned to the component and workflow you are using.

We can help with implementation questions, operational planning, and how the individual components fit into a larger migration flow. Reach us at

Docs

No documentation available at this time, which means we will take care of the end-to-end migration process for you!