{"id":31258,"date":"2026-09-17T16:37:03","date_gmt":"2026-09-17T09:37:03","guid":{"rendered":"https:\/\/renovacloud.com\/?p=31258"},"modified":"2026-09-17T16:54:18","modified_gmt":"2026-09-17T09:54:18","slug":"what-is-amazon-aurora","status":"publish","type":"post","link":"https:\/\/renovacloud.com\/en\/what-is-amazon-aurora\/","title":{"rendered":"What is Amazon Aurora? Architecture, Pricing, and When to Choose It Over RDS"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Amazon Aurora is a relational database engine that AWS built for its own infrastructure, compatible with MySQL and PostgreSQL, and delivered through the same managed service that runs Amazon RDS. Most teams meet it at a specific moment. The RDS instance that has been fine for two years starts to strain under peak traffic, and someone in the room asks whether Aurora is the fix.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sometimes it is. Sometimes it adds roughly 20% to the compute line and buys performance the workload never touches. This guide covers how Aurora works underneath, what the bill is actually made of, and the conditions that make it the better choice than standard RDS.<\/span><\/p>\n<h2><b>What Is Amazon Aurora?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Aurora is a managed relational database engine, and compatibility here happens at the wire protocol level, meaning Aurora speaks the same language over the network that MySQL and PostgreSQL speak.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your application connects with the drivers it already uses, the small libraries that let code talk to a database, such as mysql-connector or JDBC on the MySQL side and psycopg or anything built on libpq on the PostgreSQL side. The SQL dialect stays the same as well, so existing queries run unchanged.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31263\" src=\"http:\/\/renovacloud.com\/wp-content\/uploads\/2026\/09\/image2.png\" alt=\"Engineers reviewing a managed database dashboard in a modern office.\u00a0\" width=\"1024\" height=\"765\" \/><\/p>\n<p><span style=\"font-weight: 400;\">What AWS replaced is the storage engine, the layer that decides how data is written to and read from disk, and that swap is where Aurora parts ways with a database server you would run yourself.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">People usually discuss Aurora as a single product, but it is two engine families with different feature sets. The gap between them can decide which one you pick.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Aurora MySQL<\/b><span style=\"font-weight: 400;\"> gives you Backtrack, which rewinds a cluster to an earlier moment inside a configured window without a restore. Handy after someone runs an UPDATE without a WHERE clause.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Aurora PostgreSQL<\/b><span style=\"font-weight: 400;\"> gives you pgvector for embedding search, which is why so much AI work lands there rather than on a separate vector database. The team at CORTO runs 7.6 billion vectors on Aurora PostgreSQL with pgvector, so the ceiling is a long way up.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Performance claims apply to both. AWS quotes up to five times the throughput of community MySQL and three times community PostgreSQL. Read-heavy workloads come closest to those numbers, since every write still passes through one instance.<\/span><\/p>\n<h2><b>How the Aurora Architecture Works<\/b><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31267\" src=\"http:\/\/renovacloud.com\/wp-content\/uploads\/2026\/09\/image3.png\" alt=\"\" width=\"900\" height=\"675\" \/><\/p>\n<p><span style=\"font-weight: 400;\">The architecture is where Aurora earns or loses its price premium, so it pays to understand it before you compare invoices.<\/span><\/p>\n<h3><b>Compute and Storage Are Separate<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A standard RDS instance writes to an EBS volume attached to that instance. Engine and disk are tied together, and replication copies full data blocks from the primary to each replica over the network.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Aurora splits the two. The database engine runs on compute instances, while storage runs as an independent distributed fleet spread across Availability Zones. The writer sends redo log records to that storage fleet instead of shipping full pages, which cuts the volume of data crossing the network on every commit.<\/span><\/p>\n<h3><b>Six Copies Across Three Availability Zones<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Aurora keeps six copies of your data across three Availability Zones. Writes acknowledge on a quorum rather than waiting for every copy, and the<\/span><a href=\"https:\/\/docs.aws.amazon.com\/AmazonRDS\/latest\/AuroraUserGuide\/Aurora.Overview.StorageReliability.html\" rel=\"noopener\"> <span style=\"font-weight: 400;\">storage layer<\/span><\/a><span style=\"font-weight: 400;\"> repairs damaged segments in the background by rebuilding them from the surviving copies.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Storage grows in 10GB increments as your data grows, with no downtime and no manual resize. You pay for what you consume rather than what you provisioned, which removes the familiar RDS habit of over-allocating disk in case of a spike.<\/span><\/p>\n<h3><b>Replicas Read From the Same Volume<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Adding a read replica in standard RDS means copying the entire database to a new EBS volume, which can take hours on a large dataset. In Aurora, every instance in the cluster points at the same shared volume, so a new reader comes online in minutes with almost nothing to copy.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The practical effect shows up in lag. AWS documents that Aurora replica lag is usually well under 100 milliseconds after the primary writes an update, varying with the rate of database change. Standard RDS read replicas use asynchronous log shipping and typically sit seconds behind.<\/span><\/p>\n<h3><b>Failover Behavior<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Because storage already spans three zones, a writer failure does not require moving data anywhere. Aurora promotes the highest-priority reader instead, and instance failover usually completes in under 30 seconds. Losing an entire Availability Zone removes the writer and some readers at worst, and the reader endpoint stops routing to the failed zone automatically.<\/span><\/p>\n<h3><b>Fast Cloning and Backtrack<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Two features fall out of the storage design and save hours of day-to-day work. Fast cloning creates a copy-on-write clone of a cluster in minutes regardless of size, which gives QA and analytics teams a full production-shaped dataset without waiting on a restore. Backtrack rewinds an Aurora MySQL cluster to a point inside a window you configure, so an accidental <\/span><span style=\"font-weight: 400;\">DELETE<\/span><span style=\"font-weight: 400;\"> becomes a few minutes of rollback rather than a snapshot restore into a new cluster.<\/span><\/p>\n<h2><b>Five Ways to Deploy <\/b><b>Aurora<\/b><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31261\" src=\"http:\/\/renovacloud.com\/wp-content\/uploads\/2026\/09\/image6.png\" alt=\"\" width=\"1024\" height=\"765\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Aurora is no longer a single product with one shape. Five configurations exist as of 2026, and picking the wrong one is a common source of both overspending and unnecessary operational work.<\/span><\/p>\n<h3><b>Provisioned Instances<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">You choose an instance class, pay by the hour, and size for peak. Graviton-based classes such as db.r7g are roughly 20% cheaper than their Intel equivalents with comparable performance, so they are the sensible default. Provisioned instances qualify for Reserved Instances, which cut up to 45% over one year and up to 66% over three.<\/span><\/p>\n<h3><b>Aurora Serverless v2<\/b><\/h3>\n<p><a href=\"https:\/\/aws.amazon.com\/rds\/aurora\/serverless\/\" rel=\"noopener\"><span style=\"font-weight: 400;\">Aurora Serverless v2<\/span><\/a><span style=\"font-weight: 400;\"> scales capacity in 0.5 increments of an Aurora Capacity Unit, where one ACU is roughly 2 GiB of memory with matching CPU and network. Billing runs per second. Setting minimum capacity to 0 lets an idle cluster pause entirely, which drops a development database to storage charges alone.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The trade-off worth planning around: Serverless v2 has no Reserved Instance equivalent. For a workload running near peak most of the time, a reserved provisioned writer usually costs less.<\/span><\/p>\n<h3><b>Aurora Global Database<\/b><\/h3>\n<p><a href=\"https:\/\/docs.aws.amazon.com\/AmazonRDS\/latest\/AuroraUserGuide\/aurora-global-database.html\" rel=\"noopener\"><span style=\"font-weight: 400;\">Aurora Global Database<\/span><\/a><span style=\"font-weight: 400;\"> replicates a cluster across AWS Regions with typical cross-Region lag under one second. AWS positions it for an effective RPO of 1 second and an RTO of under 1 minute after a Regional failure. For a Vietnamese business serving customers in Singapore, Japan, or Australia, this is the standard pattern for regional read latency plus disaster recovery in one configuration.<\/span><\/p>\n<h3><b>Aurora PostgreSQL Limitless Database<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Limitless Database distributes a single logical PostgreSQL database across multiple Aurora Serverless instances behind one endpoint, handling distributed query planning and transactions for you. It targets workloads that have outgrown what a single writer can absorb.<\/span><a href=\"https:\/\/docs.aws.amazon.com\/AmazonRDS\/latest\/AuroraPostgreSQLReleaseNotes\/limitless-updates.html\" rel=\"noopener\"> <span style=\"font-weight: 400;\">Engine updates ship regularly<\/span><\/a><span style=\"font-weight: 400;\">, with 2026 releases adding foreign key support improvements, batch DML with RETURNING, and faster single-shard reads.<\/span><\/p>\n<h3><b>Aurora DSQL<\/b><\/h3>\n<p><a href=\"https:\/\/aws.amazon.com\/rds\/aurora\/dsql\/\" rel=\"noopener\"><span style=\"font-weight: 400;\">Aurora DSQL<\/span><\/a><span style=\"font-weight: 400;\"> is a separate product rather than a configuration of Aurora. It is a serverless distributed SQL database with an active-active architecture, designed for 99.99% availability in a single Region and 99.999% across multiple Regions. Billing uses Distributed Processing Units instead of ACUs. Availability expanded through 2026, and<\/span><a href=\"https:\/\/aws.amazon.com\/about-aws\/whats-new\/2026\/05\/amazon-aurora-dsql-five-additional-aws-regions\/\" rel=\"noopener\"> <span style=\"font-weight: 400;\">Singapore, Mumbai, and Hong Kong came online in May 2026<\/span><\/a><span style=\"font-weight: 400;\">, which matters for teams in Southeast Asia that need low-latency writes close to home.<\/span><\/p>\n<p><b><i>&gt;&gt;&gt; Read more:<\/i><\/b><a href=\"https:\/\/renovacloud.com\/en\/speed-up-application-modernization-with-aws-cloud-consulting\/\"> <i><span style=\"font-weight: 400;\">Speed Up Application Modernization with AWS Cloud Consulting<\/span><\/i><\/a><\/p>\n<h2><b>Amazon Aurora Pricing and the Six Things It Charges For\u00a0<\/b><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-31269\" src=\"http:\/\/renovacloud.com\/wp-content\/uploads\/2026\/09\/image5-1024x768.jpg\" alt=\"\" width=\"1020\" height=\"765\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Most teams budget for two line items and get surprised by the other four. The usual culprit is I\/O. Figures below use US East for consistency, and<\/span><a href=\"https:\/\/aws.amazon.com\/rds\/aurora\/pricing\" rel=\"noopener\"> <span style=\"font-weight: 400;\">the AWS pricing page<\/span><\/a><span style=\"font-weight: 400;\"> has current rates for Singapore and every other Region.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">What Aurora actually bills you for:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Compute, either per instance-hour or per ACU-hour<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Storage, per GB-month of the cluster volume<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">I\/O requests, on the Aurora Standard configuration only<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Backup storage above the size of your cluster volume<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Backtrack change records on Aurora MySQL, at $0.012 per million<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data transfer, plus RDS Extended Support if you sit on an end-of-life engine version<\/span><\/li>\n<\/ul>\n<h3><b>Compute<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Provisioned instances bill per instance-hour, at roughly 20% above the equivalent RDS engine instance. Reserved Instances cut that meaningfully on one-year and three-year commitments. Serverless v2 bills per ACU-hour with no reserved equivalent, so a cluster running near peak most of the day is often cheaper on provisioned instances with a reservation.<\/span><\/p>\n<h3><b>Storage<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Aurora Standard storage costs $0.10 per GB-month, billed on consumption rather than allocation. Storage charges continue even when a Serverless v2 cluster sits paused at 0 ACUs, so a dormant 50GB development database still costs about $5 a month.<\/span><\/p>\n<h3><b>I\/O Requests<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Under Aurora Standard, read and write I\/O bills separately at $0.20 per million requests. This is the line item that catches OLTP workloads. A busy production database generating a billion I\/Os a month adds $200 in I\/O charges on top of compute, and for transaction-heavy applications I\/O is often the largest single item on the invoice.<\/span><\/p>\n<h3><b>Aurora Standard vs Aurora I\/O-Optimized<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">I\/O-Optimized removes per-request I\/O charges and raises the storage and compute rates instead. The break-even is easy to calculate before you switch.<\/span><\/p>\n<table style=\"height: 330px;\" width=\"1280\">\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: center;\"><b>Component<\/b><\/p>\n<\/td>\n<td style=\"text-align: center;\"><b>Aurora Standard<\/b><\/td>\n<td>\n<p style=\"text-align: center;\"><b>Aurora I\/O-Optimized<\/b><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Storage<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.10 per GB-month<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.225 per GB-month<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">I\/O requests<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.20 per million<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Included, no separate charge<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Instance rate<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Baseline<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Around 30% higher<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Serverless v2<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.12 per ACU-hour<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$0.156 per ACU-hour<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Suits<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Read-light and steady workloads<\/span><\/td>\n<td><span style=\"font-weight: 400;\">I\/O-heavy OLTP and unpredictable spikes<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><b>The rule most practitioners use:<\/b><span style=\"font-weight: 400;\"> check RDS:StorageIOUsage in Cost Explorer, and if I\/O exceeds 25% of your total Aurora spend, I\/O-Optimized will usually come out ahead and gives you a predictable monthly figure.<\/span><\/p>\n<h3><b>Backups, Snapshots, and the Smaller Charges<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Backup storage equal to 100% of your cluster storage is free per Region, and anything beyond that bills separately. A handful of other charges accumulate quietly:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enhanced Monitoring at one-second granularity, billed through CloudWatch Logs ingestion<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">RDS Proxy, billed per vCPU of the database instances it fronts<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Cross-AZ and cross-Region data transfer<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Snapshot exports for zero-ETL integrations with Amazon Redshift, charged on full snapshot size<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Global Database storage, paid in every Region you replicate into<\/span><\/li>\n<\/ul>\n<p><b><i>&gt;&gt;&gt; Read more:<\/i><\/b><a href=\"https:\/\/renovacloud.com\/en\/aws-cost-optimization-best-practices\/\"> <i><span style=\"font-weight: 400;\">AWS Cost Optimization Best Practices in a Secure Environment<\/span><\/i><\/a><\/p>\n<h2><b>Amazon Aurora vs Amazon RDS<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Both services are fully managed, both handle patching and backups, and both run MySQL and PostgreSQL. The differences that matter sit in the table below.<\/span><\/p>\n<table style=\"height: 668px;\" width=\"1280\">\n<tbody>\n<tr>\n<td>\n<p style=\"text-align: center;\"><b>Dimension<\/b><\/p>\n<\/td>\n<td style=\"text-align: center;\"><b>Amazon Aurora<\/b><\/td>\n<td>\n<p style=\"text-align: center;\"><b>Amazon RDS (MySQL, PostgreSQL)<\/b><\/p>\n<\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Storage model<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Distributed cluster volume, six copies across three AZs<\/span><\/td>\n<td><span style=\"font-weight: 400;\">EBS volume attached per instance<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Storage scaling<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Automatic in 10GB steps up to 128TB<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Provisioned, with optional autoscaling<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Read replicas<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Up to 15, sharing one volume<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Up to 5, each with its own copy<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Replica lag<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Usually under 100ms<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Typically seconds<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Replica creation<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Minutes, no data copy<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Hours on large datasets<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Failover<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Usually under 30 seconds<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Around 60 to 120 seconds on Multi-AZ<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Serverless option<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Serverless v2, scales to 0 ACUs<\/span><\/td>\n<td><span style=\"font-weight: 400;\">None<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Multi-Region<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Global Database with sub-second replication<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Cross-Region read replicas, higher lag<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Engines<\/span><\/td>\n<td><span style=\"font-weight: 400;\">MySQL and PostgreSQL compatible only<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Also MariaDB, Oracle, SQL Server, Db2<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Compute price<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Around 20% above equivalent RDS<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Baseline<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">I\/O billing<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Per request on Standard<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Included in gp3 storage rate<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">That last row decides more migrations than performance does. RDS with gp3 storage folds I\/O into a flat rate, so scan-heavy analytical workloads frequently run cheaper on RDS even though Aurora is the faster engine.<\/span><\/p>\n<p><b><i>&gt;&gt;&gt; Read more:<\/i><\/b><a href=\"https:\/\/renovacloud.com\/en\/aws-database-migration-service-dms-guide\/\"> <i><span style=\"font-weight: 400;\">AWS Database Migration Service (DMS) Guide<\/span><\/i><\/a><\/p>\n<h3><b>When Aurora Earns Its Premium\u00a0<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Your read traffic outgrows a single instance and you need more than five replicas<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Failover time is measured against an SLA, and 60 to 120 seconds is too long<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You need multi-Region reads or a cross-Region recovery position with a low RPO<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Traffic is spiky enough that Serverless v2 beats a provisioned instance sized for peak<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Storage growth is unpredictable and you want to stop managing volume sizes<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You are consolidating dev and test databases that sit idle overnight and can pause at 0 ACUs<\/span><\/li>\n<\/ul>\n<h3><b>When Standard RDS Is the Smarter Buy\u00a0<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The workload is scan-heavy and I\/O volume is high relative to data size<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">You run Oracle, SQL Server, MariaDB, or Db2 and are not migrating engines<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A single instance with one standby comfortably handles peak load<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The database is small, steady, and already covered by a Reserved Instance<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Your team wants the simplest possible operational model and no new failure modes to learn<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The honest summary is that Aurora rewards workloads with heavy concurrency, unpredictable growth, or an availability target someone signed up to. A 40GB database serving a few hundred queries per second rarely gets its 20% premium back.<\/span><\/p>\n<h2><b>How to Move an Existing RDS Database to Aurora<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Two paths cover almost every situation. For a greenfield cluster, restore an RDS snapshot into a new Aurora cluster and cut over in a planned window. For a live production database where downtime is expensive, create an Aurora read replica of the RDS instance, let it catch up, then promote it.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The sequence we use looks like this:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Audit extensions, parameters, and stored procedures against Aurora support before touching anything<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Create the Aurora read replica and watch replication lag until it flattens near zero<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Point your test suite at the replica endpoint in read-only mode and let it run<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Pause writes, confirm lag has hit zero, then promote the replica<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Move the application onto the Aurora writer and reader endpoints<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Watch I\/O metrics for a fortnight before choosing between Standard and I\/O-Optimized<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Write downtime on the promotion path usually runs 30 to 90 seconds, about the same as a Multi-AZ failover. Put connection retry logic in the application first. The cutover will drop live sessions, and it is much calmer to discover that in staging.<\/span><\/p>\n<p><b><i>&gt;&gt;&gt; Read more:<\/i><\/b><a href=\"https:\/\/renovacloud.com\/en\/how-to-migrate-a-database-in-aws\/\"> <i><span style=\"font-weight: 400;\">How to Migrate a Database in AWS?<\/span><\/i><\/a><\/p>\n<h2><b>Work With Renova Cloud on Your Database Layer<\/b><\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-31259\" src=\"http:\/\/renovacloud.com\/wp-content\/uploads\/2026\/09\/image1.png\" alt=\"\" width=\"1024\" height=\"765\" \/><\/p>\n<p><span style=\"font-weight: 400;\">We are Renova Cloud, an AWS Premier Tier Services Partner based in Vietnam, with AWS Migration and Modernization Consulting Competency and Amazon RDS Service Delivery designation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Our engineers plan and run database migrations for financial services, retail, manufacturing, and ride-hailing companies across Vietnam and Southeast Asia, including moves from self-managed PostgreSQL and commercial engines onto Aurora and RDS.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you are weighing Aurora against RDS, we will look at your actual CloudWatch metrics, model both options against your I\/O profile and traffic pattern, and tell you plainly which one your workload should sit on.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">We also run free AWS Well-Architected Reviews for existing environments, which typically take about four hours.<\/span><\/p>\n<p><a href=\"https:\/\/renovacloud.com\/en\/contact\/\"><b>Talk to our team about your database workload<\/b><\/a><span style=\"font-weight: 400;\"> and we will come back with a costed recommendation, not a sales deck.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Amazon Aurora is a relational database engine that AWS built for its own infrastructure, compatible with MySQL and PostgreSQL, and delivered through the same managed service that runs Amazon RDS. Most teams meet it at a specific moment. The RDS instance that has been fine for two years starts to strain under peak traffic, and [&#8230;]\n","protected":false},"author":18,"featured_media":31265,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[951],"tags":[],"class_list":["post-31258","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aws-service"],"_links":{"self":[{"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/posts\/31258","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/users\/18"}],"replies":[{"embeddable":true,"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/comments?post=31258"}],"version-history":[{"count":2,"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/posts\/31258\/revisions"}],"predecessor-version":[{"id":31272,"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/posts\/31258\/revisions\/31272"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/media\/31265"}],"wp:attachment":[{"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/media?parent=31258"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/categories?post=31258"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/renovacloud.com\/en\/wp-json\/wp\/v2\/tags?post=31258"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}