Azure Monitor vs StatsD

Overview

StatsD

Stacks373

Followers293

Votes31

Azure Monitor

Stacks60

Followers184

Votes0

Azure Monitor vs StatsD: What are the differences?

Developers describe Azure Monitor as "Full observability into your applications, infrastructure, and network". It provides sophisticated tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud and on-premises resources and applications. On the other hand, StatsD is detailed as "Simple daemon for easy stats aggregation". StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Azure Monitor and StatsD belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Azure Monitor are:

Store and analyze operational telemetry
advanced analytic engine
interactive query language,

On the other hand, StatsD provides the following key features:

buckets: Each stat is in its own "bucket". They are not predefined anywhere. Buckets can be named anything that will translate to Graphite (periods make folders, etc)
values: Each stat will have a value. How it is interpreted depends on modifiers. In general values should be integer.
flush: After the flush interval timeout (defined by config.flushInterval, default 10 seconds), stats are aggregated and sent to an upstream backend service.

StatsD is an open source tool with 14.2K GitHub stars and 1.84K GitHub forks. Here's a link to StatsD's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

StatsD	Azure Monitor
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).	It provides sophisticated tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud and on-premises resources and applications.
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services	Store and analyze all your operational telemetry in a centralized, fully managed, scalable data store that’s optimized for performance and cost; Test your hypotheses and reveal hidden patterns using the advanced analytic engine, interactive query language, and built-in machine learning constructs; Integrate with popular DevOps, issue management, IT service management, and security information and event management tools
Statistics
Stacks 373	Stacks 60
Followers 293	Followers 184
Votes 31	Votes 0
Pros & Cons
Pros 9 Open source 7 Single responsibility 5 Efficient wire format 3 Loads of integrations 3 Handles aggregation Cons 1 No authentication; cannot be used over Internet	No community feedback yet
Integrations
Node.js Docker Graphite	Jira Azure DevOps PagerDuty BindPlane

What are some alternatives to StatsD, Azure Monitor?

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.

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

Some of the features offered by Azure Monitor are:

Store and analyze operational telemetry
advanced analytic engine
interactive query language,

On the other hand, StatsD provides the following key features:

buckets: Each stat is in its own "bucket". They are not predefined anywhere. Buckets can be named anything that will translate to Graphite (periods make folders, etc)
values: Each stat will have a value. How it is interpreted depends on modifiers. In general values should be integer.
flush: After the flush interval timeout (defined by config.flushInterval, default 10 seconds), stats are aggregated and sent to an upstream backend service.

StatsD is an open source tool with 14.2K GitHub stars and 1.84K GitHub forks. Here's a link to StatsD's open source repository on GitHub.

Azure Monitor vs StatsD