Alerta vs Dropwizard Metrics

Overview

Dropwizard Metrics

Stacks29

Followers18

Votes0

GitHub Stars7.9K

Forks1.8K

Alerta

Stacks26

Followers32

Votes0

Dropwizard Metrics vs Alerta: What are the differences?

Developers describe Dropwizard Metrics 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. On the other hand, Alerta is detailed as "A tool used to consolidate and duplicate alerts from multiple sources for quick 'at-a-glance' visualisation". It combines a JSON API server for receiving, processing and rendering alerts with a simple, yet effective Alerta Web UI and command-line tool.

Dropwizard Metrics and Alerta can be categorized as "Monitoring" tools.

Dropwizard Metrics is an open source tool with 6.66K GitHub stars and 1.64K GitHub forks. Here's a link to Dropwizard Metrics's open source repository on GitHub.

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Detailed Comparison

Dropwizard Metrics	Alerta
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.	It combines a JSON API server for receiving, processing and rendering alerts with a simple, yet effective Alerta Web UI and command-line tool.
Full-stack visibility; application-level metrics	Supports SQL; Flexible alert format; De-duplication and simple correlation
Statistics
GitHub Stars 7.9K	GitHub Stars -
GitHub Forks 1.8K	GitHub Forks -
Stacks 29	Stacks 26
Followers 18	Followers 32
Votes 0	Votes 0
Integrations
Graphite Logback Log4j Jetty	Slack Prometheus New Relic PagerDuty Grafana Kibana InfluxDB Nagios Amazon CloudWatch Sensu

What are some alternatives to Dropwizard Metrics, Alerta?

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

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

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

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

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).