Limpidchart API service
Server implements ChartAPI
service from lc-proto and Health
service from grpc.health.v1.
ChartAPI
service is available on 0.0.0.0:54010
and that can be configured via LC_API_GRPC_ADDRESS
environment variable.
Health
service is available on 0.0.0.0:54011
and that can be configured via LC_API_GRPC_HEALTH_CHECK_ADDRESS
environment variable.
REST API has its Swagger spec generated in ./api directory, and it's available on 0.0.0.0:54012
and that can be configured via LC_API_HTTP_ADDRESS
environment variable.
You can specify the needed compression algorithm in Accept-Encoding
header. Currently, only gzip and deflate are supported.
API will compress its response with the best compression using the specified algorithm.
Application needs a running instance of lc-renderer on dns:///localhost:54020
and that can be configured via LC_API_RENDERER_ADDRESS
environment variable.
Both of them can be run as containers from the following images:
ghcr.io/limpidchart/lc-api:latest
ghcr.io/limpidchart/lc-renderer:latest
Latest tag always points to the latest stable release (tagged with vX.Y.Z
version). If you need a dev version please use develop
tag.
You can also compile and run limpidchart applications without containers. Check Dockerfile
for the actual commands used for compilation.
Application is configured via environment variables. Names of all variables and their default values are:
LC_API_RENDERER_ADDRESS=dns:///localhost:54020
LC_API_RENDERER_CONN_TIMEOUT=5
LC_API_RENDERER_REQUEST_TIMEOUT=30
LC_API_GRPC_ADDRESS=0.0.0.0:54010
LC_API_GRPC_SHUTDOWN_TIMEOUT=5
LC_API_GRPC_HEALTH_CHECK_ADDRESS=0.0.0.0:54011
LC_API_HTTP_ADDRESS=0.0.0.0:54012
LC_API_HTTP_SHUTDOWN_TIMEOUT=5
LC_API_HTTP_READ_TIMEOUT=5
LC_API_HTTP_WRITE_TIMEOUT=10
LC_API_HTTP_IDLE_TIMEOUT=120
LC_METRICS_ADDRESS=0.0.0.0:54013
LC_METRICS_SHUTDOWN_TIMEOUT=5
LC_METRICS_READ_TIMEOUT=5
LC_METRICS_WRITE_TIMEOUT=10
LC_METRICS_IDLE_TIMEOUT=120
You can scrap Prometheus /metrics
endpoint on the LC_METRICS_ADDRESS
(0.0.0.0:54013
by default).
Currently there is only a request_duration_seconds
histogram with the default Prometheus buckets (.005, .01, .025, .05, .1, .25, .5, 1, 2.5, 5, 10
).
You can use PromQL to build some useful visualisations from it (queries based on Weave Works article):
sum(irate(request_duration_seconds_count{job="default/hello"}[1m])) by (status_code)
- instantaneous QPS of the service, by status code, aggregated across all replicas;sum(irate(request_duration_seconds_count{job="default/hello", status_code=~"5.."}[1m]))
- rate of requests returning 500s;sum(irate(request_duration_seconds_count{job="default/hello"}[1m])) by (instance)
- QPS per instance;sum(rate(request_duration_seconds_sum{job="default/hello",ws="false"}[5m])) / sum(rate(request_duration_seconds_count{job="default/hello",ws="false"}[5m]))
- 5-minute moving average latency of requests to the service;histogram_quantile(0.99, sum(rate(request_duration_seconds_bucket{job="default/hello",ws="false"}[5m])) by (le))
- 5-min moving 99th percentile request latency;
Every request is also logged to dev/stderr
, duration field contains value in seconds:
- gRPC example:
{"level":"info","time":"2021-08-15T12:41:28Z","protocol":"grpc","request_id":"26fab748-7e41-4901-882f-dbe6babb4a6f","ip":"192.168.0.1:55722","code":"OK","method":"CreateChart","duration":0.0091757}
- HTTP example:
{"level":"info","time":"2021-08-15T12:41:28Z","protocol":"http","request_id":"343177ef-078c-4396-a8ae-71a06f42de57","ip":"192.168.0.1","user_agent":"lc-acceptance-tests","referer":"","code":201,"method":"POST","path":"/v0/charts","resp_bytes_written":12863,"duration":0.0194194}