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
..
2024-08-12 14:47:11 +02:00
2024-07-16 17:31:52 +02:00
2025-09-24 12:32:37 +02:00

Managed TCP Load Balancer Service

The Managed TCP Load Balancer Service simplifies the deployment and management of load balancers. It efficiently distributes incoming TCP traffic across multiple backend servers, ensuring high availability and optimal resource utilization.

Deployment Details

Managed TCP Load Balancer Service efficiently utilizes HAProxy for load balancing purposes. HAProxy is a well-established and reliable solution for distributing incoming TCP traffic across multiple backend servers, ensuring high availability and efficient resource utilization. This deployment choice guarantees the seamless and dependable operation of your load balancing infrastructure.

Parameters

Common parameters

Name Description Type Value
replicas Number of HAProxy replicas. int 2
resources Explicit CPU and memory configuration for each TCP Balancer 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.nano
external Enable external access from outside the cluster. bool false

Application-specific parameters

Name Description Type Value
httpAndHttps HTTP and HTTPS configuration. object {}
httpAndHttps.mode Mode for balancer. string tcp
httpAndHttps.targetPorts Target ports configuration. object {}
httpAndHttps.targetPorts.http HTTP port number. int 80
httpAndHttps.targetPorts.https HTTPS port number. int 443
httpAndHttps.endpoints Endpoint addresses list. []string []
whitelistHTTP Secure HTTP by whitelisting client networks (default: false). bool false
whitelist List of allowed client networks. []string []

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.