MultiCloud Classroom notes 18/Sep/2025

AWS RDS

  • Relational Database Service is a offering for the following databases
    • SQL Server
    • Oracle
    • mysql
    • Postgres
    • Aurora
  • RDS databases are part of your vpc and it requires atleast two zones to be selected via DB Subnet Group.
  • RDS will have a security group
    Preview
  • RDS supports
    • single database
    • Multi AZ Database
    • Cluster
      Preview
  • RDS Support Read Replication which can be use for querying. But here the data inserted in primary will be asynchronously updated.
  • RDS supports storage autoscaling minsize is 20GB

 

 

AWS RDS

  • Relational Database Service supports:

    • SQL Server
    • Oracle
    • MySQL
    • PostgreSQL
    • Aurora
  • Runs inside VPC and requires at least two AZs via a DB Subnet Group.

  • Secured with Security Groups.

  • Supports deployment types:

    • Single DB
    • Multi-AZ Database
    • Cluster
  • Supports Read Replicas (async replication, good for queries).

  • Storage Autoscaling: min size 20 GB.

  • Instance Types:

Family / Type Description / Use-Case
Burstable / General-Purpose (T class) Low baseline CPU with burst credits; dev/test workloads. (db.t3, db.t4g)
General Purpose (M class) Balanced CPU & memory; versatile for production. (db.m5, db.m6g)
Memory-Optimized (R, X classes) High RAM per CPU; large in-memory, caching, analytics. (db.r5, db.r6g, db.x1e)
Compute-Optimized (C class) High CPU per RAM; compute-heavy workloads. (db.c5)
Storage / I/O Optimized Optimized for high throughput I/O workloads.
Legacy / Previous Gen Older types (db.t2, db.m4, db.r4); less efficient, being phased out.

Aurora

Feature / Guarantee Aurora (MySQL-compatible) Aurora (PostgreSQL-compatible) General Aurora Guarantees
Throughput Up to faster than MySQL. Up to faster than PostgreSQL. Benchmarks on same hardware.
Read Replicas ≤ 15 replicas; very low lag. ≤ 15 replicas; low-latency reads. Replica lag usually in single-digit ms.
Query Acceleration Parallel Query for faster analytics. Optimized Reads (NVMe, tiered cache) → up to faster for I/O-heavy queries. Features for large dataset performance.
Storage Auto-scaling Auto-expands up to 128 TiB. Same. Decoupled, fault-tolerant, auto-healing, multi-AZ.
Availability / Durability 6 copies across 3 AZs, auto failover. Same. SLA ~99.99%, Global DB for DR.
Compatibility MySQL 5.6, 5.7, 8.0 (region-dependent). Some features unique to MySQL edition. PostgreSQL-compatible with varying extensions. Minimal migration effort.
Read/Write Scaling Many read replicas; single writer; strong read scaling. Writes boosted by Aurora’s log-structured storage. Similar, with concurrency improvements; write scaling gains less than MySQL’s. Serverless & compute autoscaling options.
Latency “Single-digit ms” replica lag; write/read speed-ups over stock MySQL. Same, plus up to read latency improvement in optimized cases. Performance depends on workload & instance type.
SLA / Uptime 99.99% uptime SLA for clusters. Same SLA; higher availability possible with multi-region setups. Requires Multi-AZ + replicas for SLA compliance.
Fault Tolerance / Replication 6-way replication across 3 AZs; auto repair; fast failover. Same. Cross-region replication with Global Database for DR and global low-latency reads.
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By continuous learner

devops & cloud enthusiastic learner

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