# google/seesaw

Seesaw v2 is a Linux Virtual Server (LVS) based load balancing platform.

Repository: https://github.com/google/seesaw
Canonical: https://ross.abutalabs.com/products/seesaw
Language: Go
License: Apache-2.0
License Family: permissive
Last push: 2026-07-11T10:05:23+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 92, release rhythm 35, longevity 100
- inputs: {"age_days": 3925, "days_push": 53, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5676, forks 506 (observed 2026-08-28T04:09:27.754601+00:00)

## What it is
Seesaw v2 is a Linux Virtual Server (LVS) based load balancing platform written in Go. It supports advanced features like anycast, Direct Server Return (DSR), multiple VLANs, and centralized configuration across HA node pairs.

## Use cases
- load balance traffic across backend servers on the same network
- set up an LVS-based load balancer with high availability
- implement anycast or Direct Server Return load balancing
- manage load balancer VIPs across multiple VLANs
- run a self-hosted alternative to cloud load balancers
- centralize configuration for a pair of load balancing nodes

## When to avoid
- you need layer 7 (HTTP) load balancing with rich routing rules
- you want a simple drop-in proxy without dedicated hardware or node pairs
- you need a managed cloud load balancer with minimal operations

## Facets
- artifact type: service
- maturity: maintenance
- function: networking, proxy, monitoring
- domain: networking, infrastructure-as-code, self-hosted, microservices
- platform: go, self-hosted
- tags: load-balancer, lvs, anycast, dsr, high-availability, vip, healthcheck, linux

## Member repositories
- google/seesaw (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:27.754601+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:54:16.483190+00:00, confidence not recorded.
  - readme: https://github.com/google/seesaw (fetched 2026-08-28T04:09:27.754601+00:00, sha 8b5d8d2e3d93)
- Data as of 2026-08-30T08:39:29.467469+00:00.