Log Cache
Log Cache persists data in memory from the Loggregator System.
Usage
This repository should be imported as:
import logcache "code.cloudfoundry.org/log-cache"
Source IDs
Log Cache indexes data by the source_id
field on the Loggregator Envelope.
Source IDs should be unique across applications, but not across instances.
Cloud Foundry
In Cloud Foundry terms, the source ID can represent an app guid (e.g. cf app <app-name> --guid
), an app name, and/or a component name (e.g. doppler
).
All results matching one of these three mechanisms and permitted by
authorization are returned.
APIs
Log Cache's API implements two sets of endpoints - read
and meta
are
source_id
oriented, whereas query
and query_range
are metric
oriented,
and fulfill the Prometheus API. Either API can be reached via mTLS-authenticated
gRPC or CF-token-authenticated HTTPS. An info endpoint is also provided for
service version discoverability.
Authentication / Authorization
When querying the API via HTTPS, each request must have the Authorization
header set with a UAA provided token.
The scopes doppler.firehose
and logs.admin
are authorized as admin
, and
return data for all relevant source IDs. This authorization is required to
retrieve component logs.
For more limited scopes, Cloud Controller is consulted to establish app
permissions.
When querying the API via gRPC, authorization for all app and component data
is granted.
GET /api/v1/info
Retrieve JSON representation of deployed Log Cache version.
Request
$ curl "https://<log-cache-addr>/api/v1/info"
Response Body
{
"version": "X.Y.Z"
}
GET /api/v1/read/<source-id>
Retrieve data by source-id
. Returns loggregator-domain envelopes
,
potentially containing logs and/or metrics.
Request
Query Parameters:
- start_time is a UNIX timestamp in nanoseconds. It defaults to the start of the
cache (e.g.
date +%s
). Start time is inclusive. [starttime..endtime)
- end_time is a UNIX timestamp in nanoseconds. It defaults to current time of the
cache (e.g.
date +%s
). End time is exclusive. [starttime..endtime)
- envelope_types is a filter for Envelope Type. The available filters are:
LOG
, COUNTER
, GAUGE
, TIMER
, and EVENT
. If set, then only those
types of envelopes will be emitted. This parameter may be specified multiple times
to include more types.
- limit is the maximum number of envelopes to request. The max limit size
is 1000 and defaults to 100.
$ curl "https://<log-cache-addr>/api/v1/read/<source-id>?start_time=<start-time>&end_time=<end-time>"
Response Body
{
"envelopes": {"batch": [...] }
}
Lists the available source IDs that Log Cache has persisted.
Response Body
{
"meta":{
"source-id-0":{"count":"100000","expired":"129452","oldestTimestamp":"1524071322998223702","newestTimestamp":"1524081739994226961"},
"source-id-1":{"count":"2114","oldestTimestamp":"1524057384976840476","newestTimestamp":"1524081729980342902"},
...
}
}
Response fields
- count contains the number of envelopes held in Log Cache
- expired, if present, is a count of envelopes that have been pruned
- oldestTimestamp and newestTimestamp are the oldest and newest
entries for the source, in nanoseconds since the Unix epoch.
Prometheus-Compatible Endpoints
Notes on PromQL
The ultimate goal of these endpoints is to create a fully-compliant,
Prometheus-compatible interface. This should allow tools such as Grafana to
work directly with Log Cache without any additional translation.
There are still a few metadata endpoints that are unsupported. These should
be coming to Log Cache in a future release.
A valid PromQL metric name consists of the character [a-Z][0-9] and underscore. Names can begin with [a-Z] or underscore. Names cannot begin with [0-9].
As a measure to work with existing metrics that do not comply with the above format a conversion process takes place when matching on metric names.
Any character that is not in the set of valid characters is converted to an underscore.
The metric is not changed in the cache.
e.g., to match on a metric name http.latency
use the name http_latency
as a search term.
GET /api/v1/query
Issues a PromQL instant query against Log Cache data. You can read more
detail in the Prometheus documentation here.
$ curl -G "https://<log-cache-addr>/api/v1/query" --data-urlencode 'query=metrics{source_id="source-id-1"}'
Response Body
{
"status": "success",
"data": {
"resultType": "vector",
"result": [
{ "metric": {...}, "value": [ <timestamp>, "<value>" ] },
...
]
}
}
GET /api/v1/query_range
Issues a PromQL range query against Log Cache data. You can read more detail
in the Prometheus documentation here.
$ curl -G "https://<log-cache-addr>/api/v1/query_range" \
--data-urlencode 'query=metrics{source_id="source-id-1"}' \
--data-urlencode 'start=1537290750' \
--data-urlencode 'end=1537290760' \
--data-urlencode 'step=1'
Response Body
{
"status": "success",
"data": {
"resultType": "matrix",
"result": [
{
"metric": {...},
"values": [
[ <timestamp>, "<value>" ],
...
]
},
...
]
}
}
Cloud Foundry CLI Plugin
Log Cache provides a plugin for the Cloud Foundry command
line tool, which makes interacting with the API simpler.