Google Cloud Account Purchase: What is the difference between GCP Cloud SQL and self-built MySQL?
In recent years, when choosing an architecture or migrating to the cloud, there is a problem that is almost unavoidable:
Is it to directly use GCP Cloud SQL of Google Cloud or to build a MySQL on the Compute Engine (GCE) virtual machine?
Many people feel intuitively: "It's much cheaper to build your own virtual machine, and the premium for GCP hosting services is too high." But is this really the case? As a person who has been stepping on the pit in the production environment for many years, I will not talk to you today about the false empty concepts in those official documents.
We directly incarnate "smart accounting"
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The three core dimensions of automatic backup, high availability (HA) and comprehensive operation and maintenance costs are purely calculated. After reading this, you will have the answer in your heart.
1. automatic backup: seemingly free "self-built", behind all hidden costs
The backup of the database is the "antihypertensive drug" for research and development and operation ". In this matter, the implementation logic and cost of the two are completely different.
1. Self-built MySQL: It seems to save money, but in fact it is "startling step by step"
In a virtual machine, backup is not a sentence
mysqldump
It can be solved perfectly:
R & D and testing costs: You need to write your own Shell scripts and set up scheduled backups of Cron tasks. In order not to affect online performance, you have to study whether to do physical backup (Percona XtraBackup) or logical backup.
Storage and transfer costs: The backup file cannot be placed on the local disk (in case the machine is completely hung up), you must transfer it to the GCP Object Storage (GCS) object store through a script. During this period, internal network bandwidth traffic charges and GCS storage charges are incurred.
The most expensive cost (recovery test): a successful backup does not mean a successful recovery. You have to manually test the integrity of the backup files on a regular basis. All that is consumed here is the man-hours of highly paid engineers.
2. GCP Cloud SQL: Pay for peace of mind
In Cloud SQL, backup becomes a "tick" on the graphical interface ":
Fully automatic operation and maintenance-free: After opening, GCP will automatically help you make snapshot backup in a fixed window every day. By default, it will be retained for 7 days and automatically expired and deleted.
Does not affect performance: Because it is based on the snapshot of the storage layer, it will hardly cause table lock or performance jitter to your online business.
Binary log (Point-in-Time Recovery): Supports recovery to any second in the past seven days. This kind of "regret medicine" requires a very high technical threshold if it is self-built.
💡Ledger 1 (backup dimension): self-built: saves service premium, but deducts 2-4 hours per month for engineers to write scripts, maintain backup servers, and handle backup failure alarms. Cloud SQL: Pay a little more dedicated backup storage fee every month, in exchange for 0 manual intervention and second-level recovery at any point in time.
2. High Availability (HA): Self-built "Ultimate Nightmare"
High availability is the longest and deepest gap between the two. The production environment is most afraid of receiving an outage call at 3 a.m.
1. High availability of self-built MySQL: a life of nine deaths
To implement true master-slave architecture (Master-Slave) and automatic failover (Failover) on virtual machines, you typically need:
Buy at least two (or even three) virtual machines.
Configure MySQL asynchronous/semi-synchronous replication to resolve data consistency issues.
Introduce third-party tools (such as Orchestrator, MHA, or Keepalived + VIP) for heartbeat detection and failover.
The core pain point: When the main library suddenly goes down, how to ensure that the data is not lost at the moment of switching (RPO = 0)? How does the application automatically identify the new main library IP?
This set of combination punches down, without a senior DBA (database administrator) in charge, their own HA probability will "roll over" at a critical moment ".
2. High availability of GCP Cloud SQL: one-click open
In Cloud SQL, high availability is simplified to a single radio box:
“High Availability (Regional)"
.
Its underlying logic is very hardcore:
GCP starts a primary instance and a secondary instance in two zones of the same region.
When data is written, the underlying regional persistent disk (Regional Persistent Disk) is used for synchronous replication. This means that as long as the main library returns and writes successfully, the backup library must have this data.
In the event of an earthquake or power failure in the primary availability zone, Cloud SQL will automatically switch to the standby availability zone within 60 seconds, the IP address of the instance remains completely unchanged, and your application does not even need to restart, just configure the reconnection mechanism.
💡Ledger II (high availability dimension): self-built HA cost:$2 \times virtual machine cost + debugging time for a large number of complex architectures +100 reliable switching logic $cannot be guaranteed. Cloud SQL HA cost: Double the price directly on the basis of the stand-alone version (because the background actually runs two sets of resources). Conclusion: If your business allows several hours of downtime, it is the cheapest to build a single machine. If your business is suspended for 5 minutes and you have to deduct money, Cloud SQL's double price is definitely much more cost-effective than your self-built HA.
3. Ultimate Accounting: A Comparison of Real Gold and Silver
In order to give you an intuitive feeling, we use specific figures to calculate an account.
Suppose we need a medium-sized database:
4 core/16GB memory, 200GB SSD hard disk, located in Hong Kong region.
(The following prices are estimates, based on GCP real-time Pri
ce Calculator shall prevail).
Scenario A: Self-Build (GCE Virtual Machine)
Compute resources: One e2-standard-4 virtual machine, approximately $100/month.
Storage resources: 200GB local SSD hard drive, about $34/month.
Single machine hard cost: ~$134/month.
(If you want to make high availability, the cost directly doubles to ~$268/month).
Scenario B: Managed (GCP Cloud SQL for MySQL)
Single-machine version (Development): Same configuration (4 vCPU, 16GB, 200GB SSD), approximately $180/month.
High Availability Edition (Production): Because it is cross-availability zone dual-use storage, about $330/month.
⚖The final comprehensive comparison table.
Properties/Dimensions
Self-built MySQL (on GCE)
GCP Cloud SQL
Basic hardware cost
💰Lower (pure VM price)
🏷️ Higher (including software management premium)
Fully automatic backup
🛠You need to write your own scripts, manage storage, and test recovery.
⚡One-click start, support any point in time recovery
High Availability (HA)
🤯Extremely complex, requires knowledge of Master-Slave, Orchestrator, etc.
🛡One-click check, automatic switching across available zones in seconds, IP unchanged
Version upgrade and patch
⏳Need to stop and upgrade manually to handle dependency conflicts
📅Set the maintenance window and the system will automatically upgrade silently.
Maximum invisible cost
Expensive manual O & M man-hours (most valuable asset)
Predictable bill amount
4. summary: how do you choose?
After this account, the conclusion is actually very clear, mainly depends on your company.
Scale
and
Hand
.
Select [GCP Cloud SQL] decisively when the following conditions are met]:
The team does not have a full-time DBA: it is all back-end research and development or general operation and maintenance, and everyone does not want to get up in the middle of the night to repair the database.
The business is in an upswing/production environment: the stability of the business and the mental burden of R & D are significantly more important than the 10. and hundreds of dollars saved each month. Save your energy to write core business code and earn far more than this server price difference.
If the following conditions are met, you can consider [self-built MySQL]]:
Budget cards are extremely hard, but labor is very cheap: for example, start-up teams, individuals or pure test environments, it doesn't matter if something goes wrong and goes offline for a few hours.
There are ultra-large-scale customization requirements: you need to modify MySQL's kernel source code, or you need to use some ultra-cold plug-ins and special storage engines that Cloud SQL does not support.
A word of advice that is not rough:
Hosting services are not sold to you "servers", they are sold to you **" anxiety-free sleep "and" expensive professional DBA hours "**
. In the face of the production environment, spending money on time is always the highest winning business.
