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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Grafana vs Netflix FlameScope

Grafana vs Netflix FlameScope

OverviewDecisionsComparisonAlternatives

Overview

Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K
Netflix FlameScope
Netflix FlameScope
Stacks6
Followers16
Votes0
GitHub Stars3.1K
Forks176

Grafana vs Netflix FlameScope: What are the differences?

Introduction

In this analysis, we will compare Grafana and Netflix FlameScope based on their key differences. Grafana is a popular open-source platform for monitoring and visualization of time-series data, while Netflix FlameScope is a performance visualization tool developed by Netflix. Both tools are widely used in the software industry and offer unique features and functionalities.

  1. Integration: Grafana is a highly extensible platform that supports integration with a wide range of data sources, including popular monitoring systems like Prometheus, InfluxDB, and Graphite. On the other hand, Netflix FlameScope is a standalone tool that primarily focuses on visualizing CPU flame graphs and does not integrate directly with monitoring systems. It requires data to be exported and processed separately before being visualized in FlameScope.

  2. Visual Representations: Grafana offers a comprehensive set of visualization options, including graphs, charts, tables, and maps. It allows users to build rich, interactive dashboards with a variety of panels and widgets. In contrast, Netflix FlameScope specializes in CPU flame graphs, which are a highly detailed visualization of CPU performance profiles. Flame graphs are specifically designed for analyzing and understanding CPU utilization, making FlameScope an excellent tool for performance profiling.

  3. Scope of Monitoring: Grafana provides a broader scope of monitoring capabilities compared to FlameScope. With Grafana, users can monitor various aspects of their infrastructure, including server metrics, network performance, application logs, and even business metrics. On the other hand, FlameScope is designed specifically for analyzing CPU performance, making it more suitable for fine-grained performance tuning and optimization.

  4. Community Support: Grafana has a large and active community of users and developers, contributing to a vast ecosystem of plugins, extensions, and community-driven resources. The community support for Grafana is extensive, providing users with a wealth of knowledge, tutorials, and troubleshooting help. On the other hand, FlameScope, being a specialized tool developed by Netflix, may have a smaller community, limiting the available resources and support compared to Grafana.

  5. Ease of Use: Grafana offers a user-friendly interface that makes it relatively easy for users to create and configure dashboards, panels, and queries. It provides a drag-and-drop functionality for panel creation and offers a wide range of configurable options. In comparison, Netflix FlameScope has a simpler interface focused on CPU flame graphs, which can be more complex to interpret. Users need to have a thorough understanding of CPU profiling and flame graphs to effectively leverage the capabilities of FlameScope.

  6. Commercial Support: Grafana offers both open-source and enterprise editions. The enterprise edition provides additional features, enhanced security, and dedicated support from the Grafana Labs team. On the other hand, FlameScope does not have a commercial version and is primarily supported through community-driven efforts. Commercial support for FlameScope may be limited or not available at all.

In summary, Grafana and Netflix FlameScope differ in terms of integration capabilities, visual representations, scope of monitoring, community support, ease of use, and commercial support. Grafana excels in providing a comprehensive monitoring and visualization platform with extensive community support, while FlameScope specializes in CPU flame graph visualizations for performance profiling.

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Advice on Grafana, Netflix FlameScope

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

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

Detailed Comparison

Grafana
Grafana
Netflix FlameScope
Netflix FlameScope

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.

FlameScope begins by displaying the input data as an interactive subsecond-offset heat map. This shows patterns in the data. You can then select a time range to highlight on different patterns, and a flame graph will be generated just for that time range.

Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
-
Statistics
GitHub Stars
70.7K
GitHub Stars
3.1K
GitHub Forks
13.1K
GitHub Forks
176
Stacks
18.4K
Stacks
6
Followers
14.6K
Followers
16
Votes
415
Votes
0
Pros & Cons
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
No community feedback yet
Integrations
Graphite
Graphite
InfluxDB
InfluxDB
No integrations available

What are some alternatives to Grafana, Netflix FlameScope?

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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