Question 1

What does RDS MySQL consulting include?

Accepted Answer

RDS-specific architecture: Multi-AZ deployment design (Single-AZ vs Multi-AZ DB Instance vs Multi-AZ DB Cluster), read replica topology, parameter group + option group tuning, Blue/Green Deployments for zero-downtime upgrades, RDS Proxy connection pooling, backup + snapshot strategy, and the RDS-MySQL-vs-Aurora-MySQL-vs-self-managed economics. Written advisory deliverables.

Question 2

RDS MySQL vs Aurora MySQL — which fits?

Accepted Answer

RDS MySQL wins for: cost-sensitive workloads (RDS is meaningfully cheaper at smaller scale), exact MySQL community-edition compatibility (RDS runs unmodified MySQL), workloads where Aurora's cluster-storage benefits don't justify the premium. Aurora MySQL wins for: read-heavy workloads (up to 15 read replicas), multi-region active-active, fast failover, or large-scale read workloads where Aurora's cluster storage outperforms. See Aurora vs RDS.

Question 3

Multi-AZ DB Instance vs Multi-AZ DB Cluster — what's the difference?

Accepted Answer

Multi-AZ DB Instance: traditional RDS Multi-AZ — one primary in AZ-A, one standby in AZ-B, sync replication, automatic failover. Multi-AZ DB Cluster (newer): one writer + two readers across 3 AZs, semi-sync replication to readers, faster failover (~35 seconds), readers can serve queries (unlike the standby in Instance mode). Cluster mode is the better default for new deployments; Instance mode is fine for budget-constrained workloads where reader-as-active isn't a requirement.

Question 4

Blue/Green Deployments — when to use them?

Accepted Answer

Blue/Green creates a synchronised green environment that you can promote to production with one click. Use it for: MySQL minor/major version upgrades (5.7 → 8.0), parameter group changes that require restart, schema migrations that take time, or any change you want to validate before cutover. The green environment costs the same as the blue (you're paying for two clusters during validation), but the cutover safety + rollback capability is worth it for production-critical changes.

Question 5

Parameter group tuning — what matters?

Accepted Answer

Critical RDS MySQL parameters: innodb_buffer_pool_size (default is 75% of RAM — usually correct, but verify), max_connections (RDS defaults are conservative), innodb_log_file_size (defaults are too small for write-heavy workloads), wait_timeout, query_cache_type (disabled in MySQL 8). RDS limits some parameters to safe ranges. We audit the workload and parameter group together — defaults are reasonable for general cases but rarely optimal for production-scale specifics.

Question 6

RDS Proxy — when does it pay off?

Accepted Answer

RDS Proxy multiplexes application connections — particularly valuable when: (a) you run on Lambda or other serverless compute where connection churn is high, (b) your application opens many short-lived connections, (c) you've hit RDS max_connections limits and the workload doesn't justify a bigger instance. RDS Proxy adds per-request latency (single-digit ms) so it's not free; for steady-state long-lived connections, application-side pooling (HikariCP, mysql2 pool) is usually better.

Question 7

RDS MySQL → Aurora MySQL migration — what's the path?

Accepted Answer

Cleanest path: AWS DMS for near-zero-downtime via logical replication, or RDS' in-place 'migrate to Aurora' (snapshot-based, simpler but more downtime). Schema is identical; application changes are usually just endpoint updates. The decision is whether Aurora's premium pays off for your workload — we model it first, then design the cutover with replication-lag gates.

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RDS MySQL services

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