mirror of
https://github.com/bigchaindb/bigchaindb.git
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Feat/990/cleanup monitoring code (#1138)
* remove statsd dependencie * remove monitoring related code * removed statsd configuration * fixed tests * Removed monitoring docker compose file. Remove statsd settings from test fixture. Removed statsd related code from benchmarking tests * removed monitoring related documentation * remove unused import
This commit is contained in:
Rodolphe Marques
GitHub
parent
d14f06c9d0
commit
2fe9c47b63
@ -1,13 +1,11 @@
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import multiprocessing as mp
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import uuid
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import json
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import argparse
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import csv
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import time
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import logging
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import rethinkdb as r
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from os.path import expanduser
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from bigchaindb.common.transaction import Transaction
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from bigchaindb import Bigchain
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@ -48,15 +46,6 @@ def run_add_backlog(args):
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workers.start()
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def run_set_statsd_host(args):
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with open(expanduser('~') + '/.bigchaindb', 'r') as f:
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conf = json.load(f)
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conf['statsd']['host'] = args.statsd_host
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with open(expanduser('~') + '/.bigchaindb', 'w') as f:
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json.dump(conf, f)
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def run_gather_metrics(args):
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# setup a rethinkdb connection
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conn = r.connect(args.bigchaindb_host, 28015, 'bigchain')
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@ -126,12 +115,6 @@ def main():
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default='minimal',
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help='Payload size')
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# set statsd host
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statsd_parser = subparsers.add_parser('set-statsd-host',
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help='Set statsd host')
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statsd_parser.add_argument('statsd_host', metavar='statsd_host', default='localhost',
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help='Hostname of the statsd server')
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# metrics
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metrics_parser = subparsers.add_parser('gather-metrics',
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help='Gather metrics to a csv file')
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@ -149,4 +132,3 @@ def main():
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if __name__ == '__main__':
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main()
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8
benchmarking-tests/fabfile.py
vendored
8
benchmarking-tests/fabfile.py
vendored
@ -28,14 +28,6 @@ def put_benchmark_utils():
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put('benchmark_utils.py')
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@task
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@parallel
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def set_statsd_host(statsd_host='localhost'):
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run('python3 benchmark_utils.py set-statsd-host {}'.format(statsd_host))
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print('update configuration')
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run('bigchaindb show-config')
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@task
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@parallel
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def prepare_backlog(num_transactions=10000):
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@ -15,7 +15,6 @@ Then:
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```bash
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fab put_benchmark_utils
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fab set_statsd_host:<hostname of the statsd server>
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fab prepare_backlog:<num txs per node> # wait for process to finish
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fab start_bigchaindb
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```
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```
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@ -26,10 +26,6 @@ Entry point for the BigchainDB process, after initialization. All subprocesses
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Methods for managing the configuration, including loading configuration files, automatically generating the configuration, and keeping the configuration consistent across BigchainDB instances.
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### [`monitor.py`](./monitor.py)
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Code for monitoring speed of various processes in BigchainDB via `statsd` and Grafana. [See documentation.](https://docs.bigchaindb.com/projects/server/en/latest/clusters-feds/monitoring.html)
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## Folders
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### [`pipelines`](./pipelines)
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@ -41,11 +41,6 @@ config = {
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'private': None,
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},
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'keyring': [],
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'statsd': {
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'host': 'localhost',
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'port': 8125,
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'rate': 0.01,
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},
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'backlog_reassign_delay': 120
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}
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@ -105,12 +105,6 @@ def run_configure(args, skip_if_exists=False):
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input_on_stderr('Database {}? (default `{}`): '.format(key, val)) \
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or val
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for key in ('host', 'port', 'rate'):
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val = conf['statsd'][key]
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conf['statsd'][key] = \
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input_on_stderr('Statsd {}? (default `{}`): '.format(key, val)) \
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or val
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val = conf['backlog_reassign_delay']
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conf['backlog_reassign_delay'] = \
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input_on_stderr(('Stale transaction reassignment delay (in '
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@ -1,32 +0,0 @@
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from platform import node
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import statsd
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import bigchaindb
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from bigchaindb import config_utils
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class Monitor(statsd.StatsClient):
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"""Set up statsd monitoring."""
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def __init__(self, *args, **kwargs):
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"""Overrides statsd client, fixing prefix to messages and loading configuration
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Args:
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*args: arguments (identical to Statsclient)
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**kwargs: keyword arguments (identical to Statsclient)
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"""
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config_utils.autoconfigure()
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if not kwargs:
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kwargs = {}
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# set prefix, parameters from configuration file
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if 'prefix' not in kwargs:
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kwargs['prefix'] = '{hostname}.'.format(hostname=node())
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if 'host' not in kwargs:
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kwargs['host'] = bigchaindb.config['statsd']['host']
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if 'port' not in kwargs:
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kwargs['port'] = bigchaindb.config['statsd']['port']
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super().__init__(*args, **kwargs)
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@ -13,8 +13,6 @@ from bigchaindb import utils
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from bigchaindb import Bigchain
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from bigchaindb.web.routes import add_routes
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from bigchaindb.monitor import Monitor
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# TODO: Figure out if we do we need all this boilerplate.
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class StandaloneApplication(gunicorn.app.base.BaseApplication):
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@ -65,7 +63,6 @@ def create_app(*, debug=False, threads=4):
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app.debug = debug
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app.config['bigchain_pool'] = utils.pool(Bigchain, size=threads)
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app.config['monitor'] = Monitor()
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add_routes(app)
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@ -23,7 +23,6 @@ from bigchaindb.common.exceptions import (
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ValidationError,
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)
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import bigchaindb
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from bigchaindb.models import Transaction
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from bigchaindb.web.views.base import make_error
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from bigchaindb.web.views import parameters
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@ -72,7 +71,6 @@ class TransactionListApi(Resource):
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A ``dict`` containing the data about the transaction.
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"""
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pool = current_app.config['bigchain_pool']
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monitor = current_app.config['monitor']
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# `force` will try to format the body of the POST request even if the
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# `content-type` header is not set to `application/json`
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@ -109,8 +107,6 @@ class TransactionListApi(Resource):
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'Invalid transaction ({}): {}'.format(type(e).__name__, e)
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)
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else:
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rate = bigchaindb.config['statsd']['rate']
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with monitor.timer('write_transaction', rate=rate):
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bigchain.write_transaction(tx_obj)
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bigchain.write_transaction(tx_obj)
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return tx, 202
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@ -1,89 +0,0 @@
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# -*- coding: utf-8 -*-
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"""A Fabric fabfile with functionality to install Docker,
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install Docker Compose, and run a BigchainDB monitoring server
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(using the docker-compose-monitor.yml file)
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"""
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from __future__ import with_statement, unicode_literals
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from fabric.api import sudo, env
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from fabric.api import task
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from fabric.operations import put, run
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from ssh_key import ssh_key_path
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# Ignore known_hosts
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# http://docs.fabfile.org/en/1.10/usage/env.html#disable-known-hosts
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env.disable_known_hosts = True
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env.user = 'ubuntu'
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env.key_filename = ssh_key_path
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@task
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def install_docker_engine():
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"""Install Docker on an EC2 Ubuntu 14.04 instance
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Example:
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fab --fabfile=fabfile-monitor.py \
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--hosts=ec2-52-58-106-17.eu-central-1.compute.amazonaws.com \
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install_docker_engine
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"""
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# install prerequisites
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sudo('apt-get update')
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sudo('apt-get -y install apt-transport-https ca-certificates linux-image-extra-$(uname -r) apparmor')
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# install docker repositories
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sudo('apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 \
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--recv-keys 58118E89F3A912897C070ADBF76221572C52609D')
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sudo("echo 'deb https://apt.dockerproject.org/repo ubuntu-trusty main' | \
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sudo tee /etc/apt/sources.list.d/docker.list")
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# install docker engine
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sudo('apt-get update')
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sudo('apt-get -y install docker-engine')
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# add ubuntu user to the docker group
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sudo('usermod -aG docker ubuntu')
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@task
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def install_docker_compose():
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"""Install Docker Compose on an EC2 Ubuntu 14.04 instance
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Example:
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fab --fabfile=fabfile-monitor.py \
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--hosts=ec2-52-58-106-17.eu-central-1.compute.amazonaws.com \
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install_docker_compose
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"""
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sudo('curl -L https://github.com/docker/compose/releases/download/1.7.0/docker-compose-`uname \
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-s`-`uname -m` > /usr/local/bin/docker-compose')
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sudo('chmod +x /usr/local/bin/docker-compose')
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@task
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def install_docker():
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"""Install Docker and Docker Compose on an EC2 Ubuntu 14.04 instance
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Example:
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fab --fabfile=fabfile-monitor.py \
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--hosts=ec2-52-58-106-17.eu-central-1.compute.amazonaws.com \
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install_docker
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"""
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install_docker_engine()
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install_docker_compose()
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@task
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def run_monitor():
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"""Run BigchainDB monitor on an EC2 Ubuntu 14.04 instance
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Example:
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fab --fabfile=fabfile-monitor.py \
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--hosts=ec2-52-58-106-17.eu-central-1.compute.amazonaws.com \
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run_monitor
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"""
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# copy docker-compose-monitor to the ec2 instance
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put('../docker-compose-monitor.yml')
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run('INFLUXDB_DATA=/influxdb-data docker-compose -f docker-compose-monitor.yml up -d')
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@ -1,28 +0,0 @@
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version: '2'
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services:
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influxdb:
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image: tutum/influxdb
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ports:
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- "8083:8083"
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- "8086:8086"
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- "8090"
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- "8099"
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environment:
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PRE_CREATE_DB: "telegraf"
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volumes:
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- $INFLUXDB_DATA:/data
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grafana:
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image: bigchaindb/grafana-bigchaindb-docker
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tty: true
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ports:
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- "3000:3000"
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environment:
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INFLUXDB_HOST: "influxdb"
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statsd:
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image: bigchaindb/docker-telegraf-statsd
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ports:
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- "8125:8125/udp"
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environment:
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INFLUXDB_HOST: "influxdb"
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@ -44,11 +44,6 @@ Port 161 is the default SNMP port (usually UDP, sometimes TCP). SNMP is used, fo
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Port 443 is the default HTTPS port (TCP). You may need to open it up for outbound requests (and inbound responses) temporarily because some RethinkDB installation instructions use wget over HTTPS to get the RethinkDB GPG key. Package managers might also get some packages using HTTPS.
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## Port 8125
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If you set up a [cluster-monitoring server](../clusters-feds/monitoring.html), then StatsD will send UDP packets to Telegraf (on the monitoring server) via port 8125.
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## Port 8080
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Port 8080 is the default port used by RethinkDB for its adminstrative web (HTTP) interface (TCP). While you _can_, you shouldn't allow traffic arbitrary external sources. You can still use the RethinkDB web interface by binding it to localhost and then accessing it via a SOCKS proxy or reverse proxy; see "Binding the web interface port" on [the RethinkDB page about securing your cluster](https://rethinkdb.com/docs/security/).
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@ -76,8 +71,3 @@ Port 29015 is the default port for RethinkDB intracluster connections (TCP). It
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## Other Ports
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On Linux, you can use commands such as `netstat -tunlp` or `lsof -i` to get a sense of currently open/listening ports and connections, and the associated processes.
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## Cluster-Monitoring Server
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If you set up a [cluster-monitoring server](../clusters-feds/monitoring.html) (running Telegraf, InfluxDB & Grafana), Telegraf will listen on port 8125 for UDP packets from StatsD, and the Grafana web dashboard will use port 3000. (Those are the default ports.)
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@ -64,50 +64,6 @@ For a super lax, somewhat risky, anything-can-enter security group, add these ru
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If you want to set up a more secure security group, see the [Notes for Firewall Setup](../appendices/firewall-notes.html).
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## Deploy a BigchainDB Monitor
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This step is optional.
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One way to monitor a BigchainDB cluster is to use the monitoring setup described in the [Monitoring](monitoring.html) section of this documentation. If you want to do that, then you may want to deploy the monitoring server first, so you can tell your BigchainDB nodes where to send their monitoring data.
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You can deploy a monitoring server on AWS. To do that, go to the AWS EC2 Console and launch an instance:
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1. Choose an AMI: select Ubuntu Server 16.04 LTS.
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2. Choose an Instance Type: a t2.micro will suffice.
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3. Configure Instance Details: you can accept the defaults, but feel free to change them.
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4. Add Storage: A "Root" volume type should already be included. You _could_ store monitoring data there (e.g. in a folder named `/influxdb-data`) but we will attach another volume and store the monitoring data there instead. Select "Add New Volume" and an EBS volume type.
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5. Tag Instance: give your instance a memorable name.
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6. Configure Security Group: choose your bigchaindb security group.
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7. Review and launch your instance.
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When it asks, choose an existing key pair: the one you created earlier (named `bigchaindb`).
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Give your instance some time to launch and become able to accept SSH connections. You can see its current status in the AWS EC2 Console (in the "Instances" section). SSH into your instance using something like:
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```text
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cd deploy-cluster-aws
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ssh -i pem/bigchaindb.pem ubuntu@ec2-52-58-157-229.eu-central-1.compute.amazonaws.com
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```
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where `ec2-52-58-157-229.eu-central-1.compute.amazonaws.com` should be replaced by your new instance's EC2 hostname. (To get that, go to the AWS EC2 Console, select Instances, click on your newly-launched instance, and copy its "Public DNS" name.)
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Next, create a file system on the attached volume, make a directory named `/influxdb-data`, and set the attached volume's mount point to be `/influxdb-data`. For detailed instructions on how to do that, see the AWS documentation for [Making an Amazon EBS Volume Available for Use](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-using-volumes.html).
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Then install Docker and Docker Compose:
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```text
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# in a Python 2.5-2.7 virtual environment where fabric, boto3, etc. are installed
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fab --fabfile=fabfile-monitor.py --hosts=<EC2 hostname> install_docker
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```
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After Docker is installed, we can run the monitor with:
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```text
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fab --fabfile=fabfile-monitor.py --hosts=<EC2 hostname> run_monitor
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```
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For more information about monitoring (e.g. how to view the Grafana dashboard in your web browser), see the [Monitoring](monitoring.html) section of this documentation.
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To configure a BigchainDB node to send monitoring data to the monitoring server, change the statsd host in the configuration of the BigchainDB node. The section on [Configuring a BigchainDB Node](../server-reference/configuration.html) explains how you can do that. (For example, you can change the statsd host in `$HOME/.bigchaindb`.)
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## Deploy a BigchainDB Cluster
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### Step 1
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@ -7,5 +7,4 @@ Clusters & Federations
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set-up-a-federation
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backup
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aws-testing-cluster
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monitoring
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@ -1,40 +0,0 @@
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# Cluster Monitoring
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BigchainDB uses [StatsD](https://github.com/etsy/statsd) for cluster monitoring. We require some additional infrastructure to take full advantage of its functionality:
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* an agent to listen for metrics: [Telegraf](https://github.com/influxdata/telegraf),
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* a time-series database: [InfluxDB](https://www.influxdata.com/time-series-platform/influxdb/), and
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* a frontend to display analytics: [Grafana](http://grafana.org/).
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We put each of those inside its own Docker container. The whole system is illustrated below.
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For ease of use, we've created a Docker [_Compose file_](https://docs.docker.com/compose/compose-file/) (named `docker-compose-monitor.yml`) to define the monitoring system setup. To use it, just go to to the top `bigchaindb` directory and run:
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```text
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$ docker-compose -f docker-compose-monitor.yml build
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$ docker-compose -f docker-compose-monitor.yml up
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```
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It is also possible to mount a host directory as a data volume for InfluxDB
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by setting the `INFLUXDB_DATA` environment variable:
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```text
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$ INFLUXDB_DATA=/data docker-compose -f docker-compose-monitor.yml up
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```
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You can view the Grafana dashboard in your web browser at:
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[http://localhost:3000/dashboard/script/bigchaindb_dashboard.js](http://localhost:3000/dashboard/script/bigchaindb_dashboard.js)
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(You may want to replace `localhost` with another hostname in that URL, e.g. the hostname of a remote monitoring server.)
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The login and password are `admin` by default. If BigchainDB is running and processing transactions, you should see analytics—if not, [start BigchainDB](../dev-and-test/setup-run-node.html#run-bigchaindb) and load some test transactions:
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```text
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$ bigchaindb load
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```
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then refresh the page after a few seconds.
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||||
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If you're not interested in monitoring, don't worry: BigchainDB will function just fine without any monitoring setup.
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Feel free to modify the [custom Grafana dashboard](https://github.com/rhsimplex/grafana-bigchaindb-docker/blob/master/bigchaindb_dashboard.js) to your liking!
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@ -19,9 +19,6 @@ For convenience, here's a list of all the relevant environment variables (docume
|
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`BIGCHAINDB_SERVER_BIND`<br>
|
||||
`BIGCHAINDB_SERVER_WORKERS`<br>
|
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`BIGCHAINDB_SERVER_THREADS`<br>
|
||||
`BIGCHAINDB_STATSD_HOST`<br>
|
||||
`BIGCHAINDB_STATSD_PORT`<br>
|
||||
`BIGCHAINDB_STATSD_RATE`<br>
|
||||
`BIGCHAINDB_CONFIG_PATH`<br>
|
||||
`BIGCHAINDB_BACKLOG_REASSIGN_DELAY`<br>
|
||||
|
||||
@ -151,23 +148,6 @@ export BIGCHAINDB_SERVER_THREADS=5
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
## statsd.host, statsd.port & statsd.rate
|
||||
|
||||
These settings are used to configure where, and how often, [StatsD](https://github.com/etsy/statsd) should send data for [cluster monitoring](../clusters-feds/monitoring.html) purposes. `statsd.host` is the hostname of the monitoring server, where StatsD should send its data. `stats.port` is the port. `statsd.rate` is the fraction of transaction operations that should be sampled. It's a float between 0.0 and 1.0.
|
||||
|
||||
**Example using environment variables**
|
||||
```text
|
||||
export BIGCHAINDB_STATSD_HOST="http://monitor.monitors-r-us.io"
|
||||
export BIGCHAINDB_STATSD_PORT=8125
|
||||
export BIGCHAINDB_STATSD_RATE=0.01
|
||||
```
|
||||
|
||||
**Example config file snippet: the default**
|
||||
```js
|
||||
"statsd": {"host": "localhost", "port": 8125, "rate": 0.01}
|
||||
```
|
||||
|
||||
## backlog_reassign_delay
|
||||
|
||||
Specifies how long, in seconds, transactions can remain in the backlog before being reassigned. Long-waiting transactions must be reassigned because the assigned node may no longer be responsive. The default duration is 120 seconds.
|
||||
|
||||
@ -62,14 +62,6 @@ resource "aws_security_group" "node_sg1" {
|
||||
cidr_blocks = ["0.0.0.0/0"]
|
||||
}
|
||||
|
||||
# StatsD
|
||||
ingress {
|
||||
from_port = 8125
|
||||
to_port = 8125
|
||||
protocol = "udp"
|
||||
cidr_blocks = ["0.0.0.0/0"]
|
||||
}
|
||||
|
||||
# Future: Don't allow port 8080 for the RethinkDB web interface.
|
||||
# Use a SOCKS proxy or reverse proxy instead.
|
||||
|
||||
|
||||
1
setup.py
1
setup.py
@ -65,7 +65,6 @@ install_requires = [
|
||||
'pymongo~=3.4',
|
||||
'pysha3==1.0.0',
|
||||
'cryptoconditions>=0.5.0',
|
||||
'statsd>=3.2.1',
|
||||
'python-rapidjson>=0.0.8',
|
||||
'logstats>=0.2.1',
|
||||
'flask>=0.10.1',
|
||||
|
||||
@ -35,7 +35,6 @@ def mock_bigchaindb_backup_config(monkeypatch):
|
||||
config = {
|
||||
'keypair': {},
|
||||
'database': {'host': 'host', 'port': 12345, 'name': 'adbname'},
|
||||
'statsd': {'host': 'host', 'port': 12345, 'rate': 0.1},
|
||||
'backlog_reassign_delay': 5
|
||||
}
|
||||
monkeypatch.setattr('bigchaindb._config', config)
|
||||
|
||||
@ -167,11 +167,6 @@ def test_autoconfigure_read_both_from_file_and_env(monkeypatch, request):
|
||||
'private': None,
|
||||
},
|
||||
'keyring': KEYRING.split(':'),
|
||||
'statsd': {
|
||||
'host': 'localhost',
|
||||
'port': 8125,
|
||||
'rate': 0.01,
|
||||
},
|
||||
'backlog_reassign_delay': 5
|
||||
}
|
||||
|
||||
|
||||
@ -1,14 +0,0 @@
|
||||
from platform import node
|
||||
|
||||
|
||||
def test_monitor_class_init_defaults():
|
||||
import bigchaindb
|
||||
from bigchaindb.monitor import Monitor
|
||||
monitor = Monitor()
|
||||
assert monitor
|
||||
assert len(monitor._addr) == 2
|
||||
# TODO get value from config
|
||||
# assert monitor._addr[0] == bigchaindb.config['statsd']['host']
|
||||
assert monitor._addr[0] == '127.0.0.1'
|
||||
assert monitor._addr[1] == bigchaindb.config['statsd']['port']
|
||||
assert monitor._prefix == node() + '.'
|
||||
Loading…
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Reference in New Issue
Block a user