Built for Scale
Exacoola handles file transfers from hundreds of devices simultaneously.
If you need to transfer files between multiple devices, Exacoola should be the first option that comes to mind.
Hundreds of devices simultaneously generate thousands of transfer events, dramatically increasing complexity.
| Event classification | Event details | Example scenario | Purpose of processing |
|---|---|---|---|
| Device connection status | Online/Offline Detection | 15 out of 800 devices disconnected | Route reselection and transfer stability |
| Device connection delay | Delay Increase Detection | Response time for a specific device increased by 500ms | transfer detour and backoff handling |
| Storage space monitoring | Remaining Capacity Check | Remaining capacity below 3% | transfer interruption and replacement with other devices |
| Storage space spikes/decrease | Abnormal Capacity Changes | Sudden drop of 60GB per day | Data loss suspicion and notification |
| Transfer speed tracking | Average/Instantaneous Speed Monitoring | Specific section: 30MB/s → 3MB/s | Bottleneck detection |
| Transfer rate/progress | Transfer Rate and ETA Calculation | 220GB out of 500GB completed | Monitoring of large-scale transfer progress |
| Transfer failure detection | Failure/Timeout Detection | 2 out of 20 failed | Automatic retransfer |
| File integrity check | Hash Verification (MD5/SHA) | SHA256 mismatch | Recovery of damaged files |
| Chunk-based transfer errors | Chunk Retransfer Events | 80 out of 100,000 chunks missing | Partial retransfer |
| Network congestion detection | Packet Loss/Congestion | Loss rate spiked by 10% | QoS adjustment and path change |
| I/O performance monitoring | Disk Read/Write Speed | I/O wait increased by 40% | Scheduling adjustment |
| CPU/memory load | Resource Overload Detection | CPU usage continued at 98% | Work distribution |
| Policy-based control | Priority/Bandwidth Limits | Priority given to bulk backups | Resource optimization |
| Hub/waypoint selection | Automatic Relay Node Changes | Changed from Ubuntu → AWS S3 → CentOS | Securing optimal paths |
| Device group status | Group Status Summary | 8 out of 100 Hub2 devices failed | Group transfer control |
| Scheduled events | Scheduled Task Execution/Stop | Automatic collection at 3:00 AM | Non-disruptive operation |
| Security events | Authentication Failure/Token Expiration | 1 S3 authentication error | Automatic reauthentication |
| Device metadata changes | Device IP/Name Change Detection | Automatic change of device IP | Connection reconfiguration |
| Failure notifications/follow-up actions | Slack/Webhook transfer | Immediate notification of failure | Increased administrator response speed |
| Operation log recording | Automatic transfer/Error/Performance Log Storage | 3 million logs generated daily | Problem analysis and audit trail |
Exacoola processes thousands of these events in parallel in real time, ensuring congestion-free transfer.
Exacoola automatically analyzes device performance and available bandwidth to instantly configure the optimal path and number of simultaneous transfers.
| Server device types | Performance | Bandwidth | Target devices | Exacoola |
|---|---|---|---|---|
| AWS S3 | Managed | 10Gbps | 300 devices | 160-200 simultaneous transfers |
| MS Azure Blob | Managed | 10Gbps | 300 devices | 150-200 simultaneous transfers |
| Dell Object Storage | Managed | 10Gbps | 300 devices | 130-180 simultaneous transfers |
| Windows Server | 64 core | 1Gbps | 300 devices | 40-100 simultaneous transfers |
| RHEL Linux | 32 core | 10Gbps | 300 devices | 20-35 simultaneous transfers |
| Ubuntu Linux | 16 core | 1Gbps | 300 devices | 10-25 simultaneous transfers |
| CentOS Linux | 8 core | 1Gbps | 300 devices | 8-15 simultaneous transfers |
| Rocky Linux | 16 core | 1Gbps | 300 devices | 10-20 simultaneous transfers |
| Debian Linux | 8 core | 1Gbps | 300 devices | 8-15 simultaneous transfers |
| RHEL Linux Enterprise | 32 core | 1Gbps | 300 devices | 20-35 simultaneous transfers |
| macOS | 8 core | 1Gbps | 300 devices | 5-12 simultaneous transfers |
As a result, file distribution and collection to large-scale devices are completed with the fastest and most accuracy.
Even if conditions change during a transfer, Exacoola immediately readjusts priorities and transfer paths to maintain flow.
| Collection path | Example scenario | Exacoola | Result |
|---|---|---|---|
| 500 Ubuntu servers → Hub (20 Rocky servers) → AWS S3 | Five Hub Rocky hubs temporarily down | All transfers are automatically queued, with healthy nodes prioritized. | No dropouts, minimized delay |
| 300 Windows servers → 10 RHEL servers → 100 CentOS servers → Final S3 | RHEL hub CPU load at 100% | Transfer tasks are automatically reordered (from low capacity to high capacity). | Full file sequential resumption |
| 200 macOS servers → 30 Ubuntu servers → Debian central server | Network latency increased to 800ms | Transfers to devices with high latency are automatically suspended, with fast devices restarted first. | 30% reduction in total transfer time |
| 1,000 CentOS servers → 50 Fedora servers → AWS S3 | Three out of 15 Fedora hubs failed | Work on failed nodes is automatically distributed and queues are reordered. | 0 failed files |
| 400 Debian servers → 5 Rocky servers → RHEL servers | Hub storage exceeded 95% | Transfers to the affected devices are immediately paused, with spare devices reordered. | Maintained transfer stability |
| 800 Windows servers → 100 Ubuntu servers (Hub1) → 20 Ubuntu servers (Hub2) → AWS S3 | Hub1 network disconnected | All flows are automatically queued and rerouted to the Hub2 direct path. | Continued transfers without interruption |
| 120 macOS servers → AWS S3 → 2,000 CentOS servers | S3 API throttling occurred during large transfers | Queues are sorted until the API is restored, with each chunk retransferred. | 100% integrity |
| 900 RHEL servers → 40 Debian servers → Ubuntu final server | Seven out of 40 Debian hubs experienced I/O bottlenecks | Tasks on the affected node are moved to a lower priority, with the fastest node being resumed first. | Automatically optimized throughput |
| 300 Rocky servers → 10 Windows servers → AWS S3 | Three Windows hubs experienced memory shortages | Memory thresholds are automatically detected and queues are reordered. | Continued stable transfers |
| 600 Fedora servers → 20 CentOS servers → RHEL servers | RHEL server failed (rebooted) | All tasks are suspended until the server is restored, with automatic restart upon reconnection. | Retransfers without interruption |
All files are transferred completely, without any errors, and any file corruption or loss is automatically verified.
Exacoola's high-performance file transfer engine dramatically reduces the time and costs wasted by traditional methods.
| Industries | Cases | Exacoola |
|---|---|---|
| Government/Public Institutions | Automatically collect files from 1,000 regional offices to a central server. | Shortened collection time, 0% dropout rate, and reduced operating costs |
| Public Transportation | Automatically transfer status files from city bus stops to a central server. | Increased maintenance efficiency, real-time data reflection |
| Smart Factories | Automatically collect process data from 300 production devices. | Increased quality analysis speed, eliminating process delays |
| Medical Institutions (PACS) | Automatically collect CT/MRI/X-ray images from 1,200 hospitals. | Transfer time reduced from 24 hours to 1 hour, 0% video dropout rate, and improved treatment efficiency |
| Manufacturing (Process Control) | Automatically distribute process control files/patches to 500 devices. | Eliminated manpower, distribution time reduced from 6 hours to 30 minutes, and reduced process errors |
| Finance/ATMs | Security and settlement logs from 4,000 ATMs/unmanned counters. | Shortened security incident response time, reduced branch operating costs |
| Energy (Solar/Wind/ESS) | Automatically collect data from 2,500 power generation facilities. | Stable collection even on unstable networks, reducing maintenance costs |
| Broadcasting/Media | Automatically upload files to H.Q. from nationwide relay stations and branches. | Continuous transfer of 10TB video, improving transfer stability |
| Logistics/Distribution | Automatically collect RFID/scan data from 5,000 delivery points. | Improved delivery tracking accuracy, parallel processing of millions of files |
| Construction/Heavy Industry | Collect vibration and status logs from 2,000 remote heavy devices. | Stable transfer even on LTE and satellite networks, reducing maintenance costs |