Sovereignty migration is more than swapping hardware. A practical checklist for moving from x86 ELK to a domestic ARM observability platform, covering data migration, database adaptation and dual-run cutover.
Many teams assume a domestic-computing migration means installing software on domestic servers. In practice three things actually hold people up: how to move historical data, whether the new domestic database is compatible, and how to avoid losing data while the old and new systems run in parallel. This article breaks the work down by those three.
Log and trace data is large, so a full bulk copy is unrealistic. Handle it in layers:
Before migrating, take inventory: daily log volume, peak QPS and which fields must be kept. These numbers determine the migration window and resource budget. During replay, import in chronological order to avoid out-of-order writes that break query indexes; split large files and replay them concurrently, while watching write pressure on the target database so you do not crush it.
Observe speaks the MySQL protocol and can connect to:
Adaptation checklist:
| Check | Notes |
| --- | --- |
| Connection protocol | Confirm MySQL protocol or a compatibility layer |
| Indexes and partitioning | Partition time-series data by day and verify partition pruning works |
| Transaction isolation | Isolation level and locking under high-concurrency writes |
| Backup and recovery | Run the physical backup/restore scripts of the domestic database once |
SQL dialect testing need not be elaborate: take the few dozen queries the platform runs most — log search, aggregation, pagination, time-range filters — and run each against the domestic database. Pay special attention to function differences (date and string functions) and whether LIMIT pagination behaves the same.
Do not cut over all at once. Instead:
The biggest risk in dual-run is the two systems disagreeing. Pick a few fixed troubleshooting scenarios — search by trace id, search by keyword, aggregate over a time range — and run the same queries on both sides every day. Compare result counts and key fields; if they diverge, isolate whether it is ingestion, parsing or indexing before cutting more traffic over.
Re-verify capacity on the ARM platform with real load, not on paper. Domestic ARM servers differ from x86 in per-core throughput and memory bandwidth, so the same workload may need more nodes. Replay a slice of genuine production traffic rather than a synthetic benchmark, and measure ingestion throughput, query latency and disk I/O against your x86 baseline. If a single ARM node falls short, scale out before migration instead of discovering the gap during peak hours. Run the comparison at peak and off-peak; many teams find the ARM cluster needs one extra node at peak and none off-peak, and autoscaling the ingestion tier closes that gap without overprovisioning.
The finish line of a sovereignty migration is not that it runs — it is that it runs as well as before, or better.