Keep your data automatically synchronised across multiple clouds providers.
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One-time migration is just the beginning of your cloud data mobility journey. Different teams and applications often work in different clouds and ongoing synchronisation is essential to maintain multiple copies of your data across multiple cloud storage providers.
Flexify.IO brings initial bulk migration and continuing synchronisation together as part of your data mobility strategy. Object stored to one cloud storage are automatically synchronised to all others.
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AI workloads need data to keep GPUs busy. When your datasets live in one cloud and GPU capacity is available in another, waiting for data can delay training and leave expensive compute idle. Transferring large datasets between clouds can also incur significant egress charges from some providers.
Flexify.IO sync pipelines keep new and updated objects flowing to storage in the cloud where your GPUs run. Combine an initial dataset transfer with ongoing synchronisation to keep fresh training data close to your AI workloads.
Cloud migration often involves a period of running on the existing storage while preparing to switch applications to the new cloud. During this time, new objects arrive and existing objects change.
Flexify.IO sync pipelines continue carrying those changes to another cloud. Scheduled synchronisation keeps copies current at regular intervals, while notification-based synchronisation brings updates across in near real time on supported sources. When you're ready, you can commit to the switch with confidence that your destination is up to date.
Flexify.IO automatically starts an incremental migration at scheduled intervals, transferring new and updated objects instead of copying the entire dataset again. Choose a cadence that suits your business needs and spend less time restarting copy jobs or maintaining scripts.
On selected sources, Flexify.IO subscribes to S3 notifications about object changes and transfers new or updated objects almost immediately, without waiting for the next scheduled check. Deliver fresh data sooner to your teams, applications and downstream workloads.
Start synchronisation manually in the Flexify.IO web console whenever you need an update. Run an on-demand transfer without waiting for the next scheduled check.
Scale out with multiple transfer engines and parallel streams to increase throughput. Move large datasets faster and keep ongoing synchronisation flowing as your data volume grows.
Compare source and destination object lists to identify new and updated objects more efficiently. Find incremental changes without manually comparing datasets, and transfer only the objects that need synchronising.
Monitor synchronisation status and transfer progress in the Flexify.IO web console. Keep track of ongoing transfers and spot issues that need attention.
Trigger synchronisation through the Flexify.IO API from your applications and workflows. Integrate data transfers into existing processes so updates run when your systems need them.
