Here’s a practical, no-drama outline for a migration guide devs will actually use to move a Solana dApp onto InfiniSVM. It assumes an SVM codebase and aims for “clone, tweak, ship” with clear checkpoints and gotchas.
TL;DR checklist
Keep programs as-is: SVM bytecode and accounts model are compatible.
Swap RPC and cluster endpoints to InfiniSVM devnet; re-run Anchor/CLI flows.
Audit sysvar/time/compute assumptions; low-latency finality shifts some timing heuristics.
Load test with bursty traffic; measure p95/p99 before optimizing.
Tune client batching and retry logic for RDMA-speed backends; avoid unnecessary round trips.
1) Prep: inventory what really runs your app
Catalog programs, IDLs, and on-chain addresses; note any CPI chains and custom sysvar usage. This is what must behave identically after the move.
Extract current throughput/latency baselines on Solana so “is it faster” has a real answer later. Aim for peak TPS and p95/p99 under your realistic mix.
2) Environment: point tooling at InfiniSVM
Tooling parity is the point: use Solana CLI, Anchor, and Solana Web3 in the same workflow, just targeting InfiniSVM devnet endpoints. That’s the “little to no code changes” promise.
Grab faucet, explorer, and docs from the InfiniSVM Devnet hub to wire CI and developer onboarding. Bake these URLs into .env and deployment scripts.
3) Deploy: recompile and push programs
Rebuild programs and deploy to InfiniSVM devnet with your usual Anchor/CLI steps; confirm program IDs and write them to a new environment file.
Migrate state: for simple demos, re-initialize. For real apps, write a one-time migrator that reads Solana state and replays inits on InfiniSVM with integrity checks.
4) Clients: swap RPC and tighten request patterns
Replace RPC URLs in web/mobile/backends; keep connection pools warm and use larger commitment-aware batches to ride the faster pipeline.
Cut extra round trips: prefetch accounts and simulate locally where possible; InfiniSVM’s fast finality rewards fewer, bigger calls.
5) Timing and fees: re-test all the “small” assumptions
Finality/confirmation: if logic assumed N slots ~ X seconds, re-measure; sub-second finality means retry budgets, UX spinners, and watchdogs can be tighter.
Compute and rent limits: confirm per-tx compute budgets, heap usage, and account size economics; devnet doc pages expose limits and faucets to iterate quickly.
6) Load tests: prove it under stress
Run burst tests with your real read/write mix. Capture throughput and p95/p99; don’t trust peak TPS screenshots—own your numbers.
Profile hotspots: if conflicts are high, refactor account layout to increase parallelism; SVM rewards clean read/write separation, and InfiniSVM exploits it harder.
7) Observability: wire dashboards before users arrive
Hook explorer links and logs into your ops dashboard; export program logs to a sink and track error codes, retries, and slow requests.
Define SLOs that match new reality (e.g., p99 < 200 ms for critical paths), then alert when they regress.
8) Network features: plan for swQoS and batching
If/when stake-weighted QoS is exposed to users/services, document how priority fees or stake alignment improves latency for market makers and bots. Align incentives, not just code.
Use larger atomic batches where safe. Hardware offload reduces scheduling jitter, so predictable big batches can outperform chatty micro-flows. Validate with tests.
9) Rollout plan: minimize pain
Phase 1: dual-run on Solana and InfiniSVM devnet; mirror traffic and compare outputs. Gate on parity and latency wins.
Phase 2: limited-production pilot with allowlist; watch error rates and liquidation/MEV-sensitive paths closely.
Phase 3: full cutover with rollback runbook and state sync scripts on standby.
10) Appendix templates and snippets
Env example: RPC_DEVNET, EXPLORER_URL, PROGRAM_IDS_JSON, FAUCET_URL; keep per-cluster configs tidy.
CI job: build → deploy to devnet → integration tests with seeded fixtures → perf tests → post results to Slack.
Runbook: “latency spike” checklist (RPC failover, reduce batch size, toggle simulation path, alert on conflict rate).
Practical extras a guide should include
A one-page “Differences that matter” table: confirmations, RPC nuances, any limit deltas, explorer quirks. Keep it brutal and specific.
A perf testing harness repo: k6 or Locust scripts that mimic your production flows, ready to share so other teams can replicate results.
Links hub: Devnet overview, docs home, faucet, explorer, sample apps, office-hours calendar. Ship with QR codes developers can scan during hack sessions.
Bottom line: sell developers on zero-friction migration, then prove the speed. If the guide gives copy-paste commands, realistic perf recipes, and rollback plans, teams will try InfiniSVM because the risk is low and the potential latency win is obvious.