Files
Aleksei Sviridkin 55a98b8815 docs(apps): point seven app README preset tables at canonical docs
Address review feedback from coderabbitai across:
  - packages/apps/kubernetes/README.md
  - packages/apps/mariadb/README.md
  - packages/apps/nats/README.md
  - packages/apps/qdrant/README.md
  - packages/apps/redis/README.md
  - packages/apps/tcp-balancer/README.md
  - packages/apps/vpn/README.md

Each of these READMEs left an inline 7-row preset table listing only
the legacy flat names after the parameters block above already
defaulted to an instance-type value (e.g. `t1.nano`). cozyvalues-gen
only regenerates the `## Parameters` block, so the hand-written
section drifted.

Replace the inline tables with the same short paragraph already used
by postgres and kafka READMEs: name the five series, note that the
seven legacy names remain accepted as deprecated aliases, and link to
the canonical reference at docs/operations/resource-presets.md so the
full size matrix and legacy mapping live in exactly one place.

Signed-off-by: Aleksei Sviridkin <f@lex.la>
2026-05-12 03:08:52 +03:00
..

Managed Qdrant Service

Qdrant is a high-performance vector database and similarity search engine designed for AI and machine learning applications. It provides efficient storage and retrieval of high-dimensional vectors with advanced filtering capabilities, making it ideal for recommendation systems, semantic search, and RAG (Retrieval-Augmented Generation) applications.

Deployment Details

Service deploys Qdrant as a StatefulSet with automatic cluster mode when multiple replicas are configured.

Parameters

Common parameters

Name Description Type Value
replicas Number of Qdrant replicas. Cluster mode is automatically enabled when replicas > 1. int 1
resources Explicit CPU and memory configuration for each Qdrant replica. When omitted, the preset defined in resourcesPreset is applied. object {}
resources.cpu CPU available to each replica. quantity ""
resources.memory Memory (RAM) available to each replica. quantity ""
resourcesPreset Default sizing preset used when resources is omitted. string t1.small
size Persistent Volume Claim size available for vector data storage. quantity 10Gi
storageClass StorageClass used to store the data. string ""
external Enable external access from outside the cluster. bool false

Parameter examples and reference

resources and resourcesPreset

resources sets explicit CPU and memory configurations for each replica. When left empty, the preset defined in resourcesPreset is applied.

resources:
  cpu: 4000m
  memory: 4Gi

resourcesPreset sets named CPU and memory configurations for each replica. This setting is ignored if the corresponding resources value is set.

Presets follow a cloud-style <series>.<size> naming convention. Five series cover the full CPU-to-memory ratio range (t1 1:0.5, c1 1:1, s1 1:2, u1 1:4, m1 1:8) and each series ships eight sizes (nano through 4xlarge). The legacy flat names (nano, micro, small, medium, large, xlarge, 2xlarge) remain accepted as deprecated aliases of their 1:1 instance-type equivalents.

See docs/operations/resource-presets.md for the full size matrix and the legacy-to-instance-type mapping.