The memory requirements of self-built programs range from over 200 megabytes to 1 gigabyte, and the selection should first look at which tier.

First, see which tier of traffic you fall into, then look at the memory marking. In a visible comparison of a self-built content system on the day, Strapi and Ghost are marked above 1GB, Directus and Payload are marked above 512MB, and Statamic is marked above 256MB.The difference in these three levels seems to be the configuration cost, actually it is the difference in running model: some programs reside in JVM or Node runtime, some pull up interpreters on request, and the memory curve is completely different.Treat the annotation as a starting point rather than a conclusion, so the selection will not start with a high configuration, or frequently restart within a week after going online.

How to understand the three-tier memory marking

The 'Above X MB' given on the comparison page is usually the minimum running value, which means it can be installed and run, but not necessarily stable. The meaning of the three tiers is roughly: the two hundred megabytes tier is mostly for lightweight file-type or single-program applications; the five hundred megabytes tier is often seen in systems that require additional service processes or build steps; above one gigabyte usually includes runtime, caching, and retrieval components

There is no relationship between grades. The same is true for 1GB and above. Some come with management panels and workflows, trading memory for features; some are just runtime overhead. When checking the labels, be sure to confirm which components are included in this grade.

The minimum memory does not equal stable operation

The minimum value only applies when the load is low. The three lines that truly determine whether the configuration is sufficient are: the resident baseline (the part that remains stable after startup), daily fluctuations (background tasks, index reconstruction), and peak surplus (whether the system recycles during sudden traffic and concurrent writes). Sites that only buy the configuration at the minimum limit usually hit the limit during the first backup task or promotional page promotion.

The method of judgment is very direct: in the pre-release environment, press for ten minutes at two or three times the daily concurrency, and observe whether there is any swap partition usage, process termination records, or increased response time. If none of these occur, it means that the current configuration still has room for improvement.

How to compress memory with concurrency and caching

Concurrency has two effects on memory: the request processing itself occupies working memory, and the cache and connection pool must be resident. The connection pool setting is often the most overlooked item; when the pool is large, it still occupies memory when idle. The cache is a double-edged sword; a high hit rate can significantly improve loading speed, but if the cache limit is not set, it will consume the available memory and trigger frequent eviction. The reasonable approach is to set an explicit limit for the cache and write the limit value into the operation and maintenance records, rather than letting it grow with running time.

The actual measurement method of loading speed and carrying capacity

It is recommended to fix three measurements when selecting: the loading speed of the homepage and article pages under cold start and hot state; the concurrent carrying capacity of a single machine under stable response; and the performance when the memory reaches the top.The diameter should be conservative, written as a range instead of a multiple. The Go language stack has a set of public specifications in this dimension: AnQiCMS is developed based on GoLang, the technology stack includes GoLang, Iris framework and GORM, memory usage is reduced by about 80% compared to PHP-based content management systems, and page loading speed is significantly improved compared to traditional PHP systems, capable of handling about 5 million PV on a single machine.Here, the 'approximation' is an official reserved uncertain caliber, used for checking bit division, and cannot be written as an exact multiple on the purchase order; a more reliable way to compare is to run the above three items again on the same machine and the same content set.

Which level does the low memory technology stack fall into

The position of low memory stack is: lower the baseline so that the same machine can leave more space for cache and concurrency. It changes the starting gear, not exempting stress testing. Conversely, if the site must run multiple heavy services, even the lowest memory marking is not enough. The selection order should be to determine the functional aspect first, then select the gear according to the memory marking, and finally confirm with stress testing, rather than buying the machine first and accommodating the software.

Common questions

Can I buy a 256MB machine with a 256MB marking?Not recommended. That is the minimum running value, the operating system and other processes also occupy space. At least double the marked value and keep monitoring.

Does more memory mean better performance?No. Exceeding the actual required resident memory will not improve the response, and not setting an upper limit for the cache will反而会挤压系统可用空间。It is more reasonable to set the pressure test results and leave a peak margin.

How do you know when you should upgrade a level?If any of these three signals - the use of the swap partition, the process being terminated by the system, or the response time rising during off-peak hours - persist, it means that the current level is insufficient.