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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Dropwizard Metrics vs Sensu

Dropwizard Metrics vs Sensu

OverviewComparisonAlternatives

Overview

Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386
Dropwizard Metrics
Dropwizard Metrics
Stacks29
Followers18
Votes0
GitHub Stars7.9K
Forks1.8K

Dropwizard Metrics vs Sensu: What are the differences?

What is Dropwizard Metrics? Capturing JVM- and application-level metrics. It is a Java library which gives you insight into what your code does in production. It provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. It provides you with full-stack visibility.

What is Sensu? Open source monitoring framework. A monitoring framework that aims to be simple, malleable, and scalable. Essentially, Sensu takes the results of “check” scripts run across many systems, and if certain conditions are met; passes their information to one or more “handlers”. Checks are used, for example, to determine if a service like Apache is up or down.

Dropwizard Metrics and Sensu belong to "Monitoring Tools" category of the tech stack.

Dropwizard Metrics and Sensu are both open source tools. Dropwizard Metrics with 6.64K GitHub stars and 1.64K forks on GitHub appears to be more popular than Sensu with 2.96K GitHub stars and 388 GitHub forks.

According to the StackShare community, Sensu has a broader approval, being mentioned in 47 company stacks & 88 developers stacks; compared to Dropwizard Metrics, which is listed in 4 company stacks and 3 developer stacks.

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Detailed Comparison

Sensu
Sensu
Dropwizard Metrics
Dropwizard Metrics

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

It is a Java library which gives you insight into what your code does in production. It provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. It provides you with full-stack visibility.

Health checks & custom metrics; alerts & incident management; real-time inventory; auto-remediation & custom workflows; container monitoring; Kubernetes monitoring; telemetry & service health checking; multi-cloud monitoring
Full-stack visibility; application-level metrics
Statistics
GitHub Stars
2.9K
GitHub Stars
7.9K
GitHub Forks
386
GitHub Forks
1.8K
Stacks
201
Stacks
29
Followers
251
Followers
18
Votes
56
Votes
0
Pros & Cons
Pros
  • 13
    Support for almost anything
  • 11
    Easy setup
  • 9
    Message routing
  • 7
    Devs can code their own checks
  • 5
    Ease of use
Cons
  • 1
    Plugins
  • 1
    Written in Go
No community feedback yet
Integrations
ServiceNow.com
ServiceNow.com
Prometheus
Prometheus
InfluxDB
InfluxDB
Grafana
Grafana
PagerDuty
PagerDuty
Graphite
Graphite
Logback
Logback
Log4j
Log4j
Jetty
Jetty

What are some alternatives to Sensu, Dropwizard Metrics?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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