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  1. Stackups
  2. DevOps
  3. Application Performance Monitoring
  4. Node Js Application Monitoring
  5. Nodetime vs Sysdig

Nodetime vs Sysdig

OverviewDecisionsComparisonAlternatives

Overview

Nodetime
Nodetime
Stacks4
Followers8
Votes4
Sysdig
Sysdig
Stacks80
Followers150
Votes15
GitHub Stars8.1K
Forks748

Nodetime vs Sysdig: 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 Sysdig? Open source container monitoring for all Linux container technologies, including Docker, LXC, etc. Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top..

Nodetime belongs to "node.js Application Monitoring" category of the tech stack, while Sysdig can be primarily classified under "Monitoring Tools".

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, Sysdig provides the following key features:

  • Real-Time Dashboard
  • Historical Replay
  • Dynamic Topology

Sysdig is an open source tool with 5.7K GitHub stars and 530 GitHub forks. Here's a link to Sysdig's open source repository on GitHub.

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Advice on Nodetime, Sysdig

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

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

Detailed Comparison

Nodetime
Nodetime
Sysdig
Sysdig

Nodetime is an application performance management toolset in the cloud - an all-round solution for performance monitoring, optimization and troubleshooting.

Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top.

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
Real-Time Dashboard; Historical Replay; Dynamic Topology; Intelligent Alerting
Statistics
GitHub Stars
-
GitHub Stars
8.1K
GitHub Forks
-
GitHub Forks
748
Stacks
4
Stacks
80
Followers
8
Followers
150
Votes
4
Votes
15
Pros & Cons
Pros
  • 2
    Easy setup
  • 2
    Powerful
Pros
  • 5
    Monitoring
  • 5
    Powerful web app
  • 5
    Easy setup
Integrations
Red Hat OpenShift
Red Hat OpenShift
Docker
Docker

What are some alternatives to Nodetime, Sysdig?

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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