What stalls a domestic-computing migration is the surrounding systems. This post covers connecting an observability platform to DM8, meeting audit and compliance requirements, and a dual-run migration plan with common pitfalls.
When people talk about moving to domestic computing, they picture swapping x86 for ARM and Oracle for DM. What really drags out the schedule is everything around the edges: if logs, monitoring, and tracing — the invisible infrastructure — cannot follow, the new environment comes up blind. An observability platform carries the site's logs and traces, so how deeply it adapts decides whether the migration can actually finish. In practice we see two failure patterns: teams that cut over the business systems first and only then discover the observability layer has nowhere to store data, and teams that bolt on a half-adapted platform and live with broken traces for months. That gap is exactly where an observability platform earns its keep: it is the first thing a support engineer opens during an incident, so if it cannot run on the new stack, the migration isn't really complete.
DM8 supports several compatibility modes, and the choice determines how much code you change. For teams coming from MySQL, MySQL-compat mode is the smallest change: the SQL dialect, data types, and behavior are close enough that most queries run as-is. Observe speaks the MySQL protocol, so connecting to DM means touching a handful of things:
Config example:
database:
type: dm
host: 10.0.0.12
port: 5236
user: observe
password: "***"
mode: mysql-compatOne thing to verify early: DM's default transaction isolation and case sensitivity differ from MySQL in places, so run a full write-read-delete cycle against your own schema before rolling out to production.
Government and enterprise customers impose two kinds of compliance on an observability platform. First, operation auditing: login, query, export, and token rotation are all recorded and traceable to a person, which matters when a data-leak investigation needs to know exactly who queried what and when. Both requirements usually surface during acceptance testing, so wire them into your checklist early rather than retrofitting them after go-live. Second, data security:
Run the old and new stacks side by side for a while: point the new system at Observe, keep the old one as-is, and compare data for consistency. On the database side, use DM's DTS migration tool for schema and data first, then verify that reads, writes, search, and alerts all work, and only then switch traffic and retire the old stack.
Order matters. Migrate log ingestion first (stateless, low risk), then traces and metrics, then alert rules. Alert rules touch notification channels and on-call schedules, so they are the easiest thing to break during a cutover — verify them one by one last. Only when both systems agree on counts, latencies, and error rates for a full week should you consider the migration done.
Most of these bite during the first week of the cutover, so run each check early rather than discovering them at 2 a.m. during your first production incident.