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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. 411 vs Dropwizard Metrics

411 vs Dropwizard Metrics

OverviewComparisonAlternatives

Overview

Dropwizard Metrics
Dropwizard Metrics
Stacks29
Followers18
Votes0
GitHub Stars7.9K
Forks1.8K
411
411
Stacks10
Followers23
Votes0
GitHub Stars971
Forks110

411 vs Dropwizard Metrics: What are the differences?

Developers describe 411 as "An Alert Management Web Application, by Etsy". Configure Searches to periodically run against a variety of data sources. You can define a custom pipeline of Filters to manipulate any generated Alerts and forward them to multiple Targets. Review and manage Alerts through the web interface. You can apply Renderers to alerts to enrich them with additional metadata. On the other hand, Dropwizard Metrics is detailed as "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.

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

411 and Dropwizard Metrics are both open source tools. Dropwizard Metrics with 6.64K GitHub stars and 1.64K forks on GitHub appears to be more popular than 411 with 869 GitHub stars and 97 GitHub forks.

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Detailed Comparison

Dropwizard Metrics
Dropwizard Metrics
411
411

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.

Configure Searches to periodically run against a variety of data sources. You can define a custom pipeline of Filters to manipulate any generated Alerts and forward them to multiple Targets. Review and manage Alerts through the web interface. You can apply Renderers to alerts to enrich them with additional metadata.

Full-stack visibility; application-level metrics
-
Statistics
GitHub Stars
7.9K
GitHub Stars
971
GitHub Forks
1.8K
GitHub Forks
110
Stacks
29
Stacks
10
Followers
18
Followers
23
Votes
0
Votes
0
Integrations
Graphite
Graphite
Logback
Logback
Log4j
Log4j
Jetty
Jetty
Elasticsearch
Elasticsearch
Graphite
Graphite

What are some alternatives to Dropwizard Metrics, 411?

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.

Sensu

Sensu

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.

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).

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