Safe Haskell | None |
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This module provides remote monitoring of a running process over HTTP. It can be used to run an HTTP server that provides both a web-based user interface and a machine-readable API (e.g. JSON.) The former can be used by a human to get an overview of what the program is doing and the latter can be used by automated monitoring tools.
Typical usage is to start the monitoring server at program startup
main = do forkServer "localhost" 8000 ...
and then periodically check the stats using a web browser or a command line tool (e.g. curl)
$ curl -H "Accept: application/json" http://localhost:8000/
Required configuration
To use this module you must first enable GC statistics collection in the run-time system. To enable GC statistics collection, either run your program with
+RTS -T
or compile it with
-with-rtsopts=-T
The runtime overhead of -T
is very small so it's safe to always
leave it enabled.
Security considerations
Be aware that if the server started by forkServer
is not bound to
"localhost" (or equivalent) anyone on the network can access the
monitoring server. Either make sure the network is secure or bind
the server to "localhost".
REST API
To use the machine-readable REST API, send an HTTP GET request to
the host and port passed to forkServer
. The following resources
(i.e. URLs) are available:
- /
- JSON object containing all counters, gauges and labels.
Counters, gauges, and labels are stored as nested objects under the
counters
,gauges
, andlabels
attributes, respectively. Content types: "text/html" (default), "application/json" - /combined
- Flattened JSON object containing all counters, gauges, and labels. Content types: "application/json"
- /counters
- JSON object containing all counters. Content types: "application/json"
- /counters/<counter name>
- Value of a single counter, as a string. The name should be UTF-8 encoded. Content types: "text/plain"
- /gauges
- JSON object containing all gauges. Content types: "application/json"
- /gauges/<gauge name>
- Value of a single gauge, as a string. The name should be UTF-8 encoded. Content types: "text/plain"
- /labels
- JSON object containing all labels. Content types: "application/json"
- /labels/<label name>
- Value of a single label, as a string. The name should be UTF-8 encoded. Content types: "text/plain"
Counters, gauges and labels are stored as attributes of the
returned JSON objects, one attribute per counter, gauge or label.
In addition to user-defined counters, gauges, and labels, the below
built-in counters and gauges are also returned. Furthermore, the
top-level JSON object of any resource contains the
server_timestamp_millis
attribute, which indicates the server
time, in milliseconds, when the sample was taken.
Built-in counters:
bytes_allocated
- Total number of bytes allocated
num_gcs
- Number of garbage collections performed
num_bytes_usage_samples
- Number of byte usage samples taken
cumulative_bytes_used
- Sum of all byte usage samples, can be
used with
numByteUsageSamples
to calculate averages with arbitrary weighting (if you are sampling this record multiple times). bytes_copied
- Number of bytes copied during GC
mutator_cpu_seconds
- CPU time spent running mutator threads. This does not include any profiling overhead or initialization.
mutator_wall_seconds
- Wall clock time spent running mutator threads. This does not include initialization.
gc_cpu_seconds
- CPU time spent running GC
gc_wall_seconds
- Wall clock time spent running GC
cpu_seconds
- Total CPU time elapsed since program start
wall_seconds
- Total wall clock time elapsed since start
Built-in gauges:
max_bytes_used
- Maximum number of live bytes seen so far
current_bytes_used
- Current number of live bytes
current_bytes_slop
- Current number of bytes lost to slop
max_bytes_slop
- Maximum number of bytes lost to slop at any one time so far
peak_megabytes_allocated
- Maximum number of megabytes allocated
par_tot_bytes_copied
- Number of bytes copied during GC, minus
space held by mutable lists held by the capabilities. Can be used
with
parMaxBytesCopied
to determine how well parallel GC utilized all cores. par_avg_bytes_copied
- Deprecated alias for
par_tot_bytes_copied
. par_max_bytes_copied
- Sum of number of bytes copied each GC by
the most active GC thread each GC. The ratio of
par_tot_bytes_copied
divided bypar_max_bytes_copied
approaches 1 for a maximally sequential run and approaches the number of threads (set by the RTS flag-N
) for a maximally parallel run.
The monitoring server
A handle that can be used to control the monitoring server.
Created by forkServer
.
serverThreadId :: Server -> ThreadIdSource
The thread ID of the server. You can kill the server by killing this thread (i.e. by throwing it an asynchronous exception.)
:: ByteString | Host to listen on (e.g. "localhost") |
-> Int | Port to listen on (e.g. 8000) |
-> IO Server |
Start an HTTP server in a new thread. The server replies to GET requests to the given host and port. The host argument can be either a numeric network address (dotted quad for IPv4, colon-separated hex for IPv6) or a hostname (e.g. "localhost".) The client can control the Content-Type used in responses by setting the Accept header. At the moment three content types are available: "application/json", "text/html", and "text/plain".
User-defined counters, gauges, and labels
The monitoring server can store and serve user-defined, integer-valued counters and gauges, and string-valued labels. A counter is a monotonically increasing value (e.g. TCP connections established since program start.) A gauge is a variable value (e.g. the current number of concurrent connections.) A label is a free-form string value (e.g. exporting the command line arguments or host name.) Each counter, gauge, and label is associated with a name, which is used when it is displayed in the UI or returned in a JSON object.
Even though it's technically possible to have a counter and a gauge with the same name, associated with the same server, it's not recommended as it might make it harder for clients to distinguish the two.
To create and use a counter, simply call getCounter
to create it
and then call e.g. inc
or
add
to modify its value. Example:
main = do handle <- forkServer "localhost" 8000 counter <- getCounter "iterations" handle let loop n = do inc counter loop loop
To create a gauge, use getGauge
instead of getCounter
and then
call e.g. set
or
modify
. Similar for labels.
Return the counter associated with the given name and server.
Multiple calls to getCounter
with the same arguments will return
the same counter. The first time getCounter
is called for a
given name and server, a new, zero-initialized counter will be
returned.