Assertible vs StatsD

Overview

StatsD

Stacks373

Followers293

Votes31

Assertible

Stacks10

Followers21

Votes0

StatsD vs Assertible: What are the differences?

What is StatsD? 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).

What is Assertible? Automated QA tools to test and monitor your web services across deployments and environments. Reduce bugs in web applications by using Assertible to create an automated QA pipeline that helps you catch failures & ship code faster.

StatsD and Assertible can be primarily classified as "Monitoring" tools.

Some of the features offered by StatsD are:

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.

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

Integrate with your favorite tools
Automate your QA like a pro
Run the same tests on all environments

StatsD is an open source tool with 14.3K 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	Assertible
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).	Reduce bugs in web applications by using Assertible to create an automated QA pipeline that helps you catch failures & ship code faster.
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services	Integrate with your favorite tools; Automate your QA like a pro; Run the same tests on all environments
Statistics
Stacks 373	Stacks 10
Followers 293	Followers 21
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	Python Postman Haskell

What are some alternatives to StatsD, Assertible?

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

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.

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Nagios

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

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

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

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Zabbix

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

Related Comparisons

Some of the features offered by StatsD are:

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.

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

Integrate with your favorite tools
Automate your QA like a pro
Run the same tests on all environments

StatsD is an open source tool with 14.3K GitHub stars and 1.84K GitHub forks. Here's a link to StatsD's open source repository on GitHub.

Assertible vs StatsD