Nodetime vs Prometheus

Overview

Nodetime

Stacks4

Followers8

Votes4

Prometheus

Stacks4.8K

Followers3.8K

Votes239

GitHub Stars61.1K

Forks9.9K

Nodetime vs Prometheus: What are the differences?

What is Nodetime? Performance Profiler and Monitor for Node.js Applications. Nodetime is an application performance management toolset in the cloud - an all-round solution for performance monitoring, optimization and troubleshooting.

What is Prometheus? An open-source service monitoring system and time series database, developed by SoundCloud. 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.

Nodetime and Prometheus are primarily classified as "node.js Application Monitoring" and "Monitoring" tools respectively.

Some of the features offered by Nodetime are:

Transaction Tracing- gives you visibility of what's happening inside your application by showing requests and operations, e.g. API calls, with a lot of information, including response time, CPU time, operations such as database calls, http client requests, file system and other API calls which happened at the same time
Sample Filtering- If there are too many requests or operations handled by the application, Nodetime will send only the slowest samples of requests and their operations to the profiler web console
Custom Tracing- Nodetime samples requests and some Socket.io communication out of the box. For other types of applications or a specific operation tracing need it provides simple API functions and extension mechanisms

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

a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionality
no dependency on distributed storage

Prometheus is an open source tool with 25K GitHub stars and 3.55K GitHub forks. Here's a link to Prometheus's open source repository on GitHub.

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Advice on Nodetime, Prometheus

Raja Subramaniam

Aug 27, 2019

Needs adviceon

Prometheus

Kubernetes

Sysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k

Comments

Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceon

Grafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

Must be able to get custom data from AS400,
Able to display automation test results,
System monitoring / Nginx API,
Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k

Comments

Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k

Comments

Detailed Comparison

Nodetime	Prometheus
Nodetime is an application performance management toolset in the cloud - an all-round solution for performance monitoring, optimization and troubleshooting.	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.
Transaction Tracing- gives you visibility of what's happening inside your application by showing requests and operations, e.g. API calls, with a lot of information, including response time, CPU time, operations such as database calls, http client requests, file system and other API calls which happened at the same time;Sample Filtering- If there are too many requests or operations handled by the application, Nodetime will send only the slowest samples of requests and their operations to the profiler web console;Custom Tracing- Nodetime samples requests and some Socket.io communication out of the box. For other types of applications or a specific operation tracing need it provides simple API functions and extension mechanisms;Metrics- OS Load average and free memory, Node's RSS and Heap size as well as average response / CPU times, error rates and counts for HTTP client / server requests and supported API calls and libraries, e.g. Socket.io, File System, Redis, MongoDB, MySQL, PostgreSQL, Memcached and Cassandra;Historical Metrics- Historical metrics are not shown for particular process, but are presented in an averaged process view;Custom Metrics- Using metric API call, custom metrics can be sent to the Nodetime server and presented in the same way as the automatic metrics.;Database Monitoring- Monitor Redis and MongoDB databases used by your applications without any extra setup;CPU Profiling- As a logical next step after detecting high CPU utilization, Nodetime makes it incredibly easy to use V8's built-in sampling CPU profiler to analyze hot spots and locate inefficient functions;Memory Profiling- Nodetime's memory profiling feature uses V8's built-in heap profiler, which allows to take heap snapshots;Alerts- users can create alerts for many internal metrics of the application;Team Features- Applications can be shared between accounts	Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars -	GitHub Stars 61.1K
GitHub Forks -	GitHub Forks 9.9K
Stacks 4	Stacks 4.8K
Followers 8	Followers 3.8K
Votes 4	Votes 239
Pros & Cons
Pros 2 Powerful 2 Easy setup	Pros 47 Powerful easy to use monitoring 38 Flexible query language 32 Dimensional data model 27 Alerts 23 Active and responsive community Cons 12 Just for metrics 6 Needs monitoring to access metrics endpoints 6 Bad UI 4 Not easy to configure and use 3 Supports only active agents
Integrations
Red Hat OpenShift	Grafana

What are some alternatives to Nodetime, Prometheus?

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.

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).

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

Some of the features offered by Nodetime are:

Transaction Tracing- gives you visibility of what's happening inside your application by showing requests and operations, e.g. API calls, with a lot of information, including response time, CPU time, operations such as database calls, http client requests, file system and other API calls which happened at the same time
Sample Filtering- If there are too many requests or operations handled by the application, Nodetime will send only the slowest samples of requests and their operations to the profiler web console
Custom Tracing- Nodetime samples requests and some Socket.io communication out of the box. For other types of applications or a specific operation tracing need it provides simple API functions and extension mechanisms

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

a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
a flexible query language to leverage this dimensionality
no dependency on distributed storage

Prometheus is an open source tool with 25K GitHub stars and 3.55K GitHub forks. Here's a link to Prometheus's open source repository on GitHub.

Nodetime vs Prometheus