chaos-exporter VS statsd_exporter

Compare chaos-exporter vs statsd_exporter and see what are their differences.

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chaos-exporter statsd_exporter
1 3
32 895
- 0.9%
4.6 7.7
7 days ago 14 days ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

chaos-exporter

Posts with mentions or reviews of chaos-exporter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-03.
  • Observability Considerations in Chaos: The Metrics Story
    3 projects | dev.to | 3 Mar 2021
    Chaos interleaved dashboards (i.e., instrumented app dashboards/panels with prom functions on chaos metrics in order to indicate the period of chaos injection/experiment execution) is something that has been in practice and, like mentioned previously, used the event router. While this did help, it was by no means a perfect solution - as upstream implementations of the event-router didn’t have the desired event filtering capabilities (leading to more space on the TSDB) and events are relatively ephemeral entities that disappear from the etcd after a specified period of time. As a result, the chaos exporter was improved to generate more meaningful metrics to indicate the state & results of the chaos experiments - the source being a richer (schema-wise) ChaosResult CR.

statsd_exporter

Posts with mentions or reviews of statsd_exporter. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-08.
  • Help: UDP proxy/relay to multiple destinations
    2 projects | /r/sysadmin | 8 Aug 2022
    It's part of the statsd_exporter.
  • Ask HN: Prometheus vs. StatsD / Telegraf
    5 projects | news.ycombinator.com | 11 Apr 2021
  • Statsd + Prometheus on Grafana Cloud
    1 project | dev.to | 21 Mar 2021
    package metrics import ( "fmt" "strings" "time" "github.com/alexcesaro/statsd" ) // Hybrid metrics type Hybrid struct { Statsd StatsdConfig Client *statsd.Client AttachLabels bool } // StatsdConfig ... type StatsdConfig struct { Host string Prefix string } // Init ... func (m *Hybrid) Init() error { // Set up the statsd client client, err := statsd.New( statsd.Address(m.Statsd.Host), statsd.Prefix(m.Statsd.Prefix), statsd.FlushPeriod(time.Second*1), ) if err != nil { return fmt.Errorf("Hybrid: Could not connect to %s: %s", m.Statsd.Host, err.Error()) } m.Client = client return nil } // Format key with labels func (m *Hybrid) formatKeyWithLabels(key string, labels map[string]string) string { // Do we want to attach labels? if m.AttachLabels == false { return key } // Use librato-style tags // metrim.name#tagName=val,tag2Name=val2:0|c // https://github.com/prometheus/statsd_exporter#tagging-extensions if len(key) == 0 { return key } formattedLabels := []string{} for labelKey, labelVal := range labels { formattedLabels = append(formattedLabels, fmt.Sprintf("%s=%s", labelKey, labelVal)) } joinedFormattedLabels := strings.TrimSpace(strings.Join(formattedLabels, ",")) if joinedFormattedLabels != "" { key = fmt.Sprintf("%s#%s", key, joinedFormattedLabels) } return strings.Trim(key, "#") } // Increment ... func (m *Hybrid) Increment(key string, labels map[string]string) { m.IncrementBy(key, 1, labels) } // IncrementBy ... func (m *Hybrid) IncrementBy(key string, by int, labels map[string]string) { updatedKey := m.formatKeyWithLabels(key, labels) if m.Client != nil { m.Client.Count(updatedKey, by) } } // Gauge ... func (m *Hybrid) Gauge(key string, value int, labels map[string]string) { updatedKey := m.formatKeyWithLabels(key, labels) if m.Client != nil { m.Client.Gauge(updatedKey, value) } }

What are some alternatives?

When comparing chaos-exporter and statsd_exporter you can also consider the following projects:

litmus - Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q

pushgateway - Push acceptor for ephemeral and batch jobs.

django-prometheus - Export Django monitoring metrics for Prometheus.io

windows_exporter - Prometheus exporter for Windows machines

process-exporter - Prometheus exporter that mines /proc to report on selected processes

haproxy_exporter - Simple server that scrapes HAProxy stats and exports them via HTTP for Prometheus consumption

script_exporter - Prometheus exporter to execute scripts and collect metrics from the output or the exit status.

client_python - Prometheus instrumentation library for Python applications

prometheus - The Prometheus monitoring system and time series database.

samplicator - Send copies of (UDP) datagrams to multiple receivers, with optional sampling and spoofing

cronner - cron job runner; statsd metrics with optional DogStatsd event emissions

datadog-go - go dogstatsd client library for datadog