Netflix FlameScope vs OpenTelemetry

Overview

Netflix FlameScope

Stacks6

Followers16

Votes0

GitHub Stars3.1K

Forks176

OpenTelemetry

Stacks204

Followers148

Votes4

Netflix FlameScope vs OpenTelemetry: What are the differences?

Focus Area: Netflix FlameScope primarily focuses on providing visualization tools for performance profiling, while OpenTelemetry is a set of APIs, libraries, agents, and instrumentation to enable observability in applications.
Data Collection: FlameScope collects data by ingesting profiler outputs from various sources, including Linux perf, DTrace, and eBPF, whereas OpenTelemetry collects data through instrumentation libraries added directly to the codebase of applications.
scalability: FlameScope is more suitable for visualizing and analyzing small to medium-sized datasets due to its limited scalability, whereas OpenTelemetry is designed to handle large-scale distributed environments with ease.
Community Support: OpenTelemetry has a large and active community supporting its development and integration across various platforms and languages, while FlameScope, being a project within Netflix, may have limited community support and resources.
Flexibility: OpenTelemetry offers flexibility in terms of vendor-agnostic telemetry collection, allowing users to switch between different backends and services seamlessly, while FlameScope is more specialized in its use case and not as flexible in terms of integration with various monitoring and observability tools.
Real-time Monitoring: OpenTelemetry provides real-time monitoring capabilities, allowing users to observe and analyze performance metrics instantaneously, while FlameScope may not be as suitable for real-time monitoring due to its focus on historical performance data analysis.

In Summary, Netflix FlameScope and OpenTelemetry differ in their focus areas, data collection methods, scalability, community support, flexibility, and real-time monitoring capabilities.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Netflix FlameScope	OpenTelemetry
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.	It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.
Statistics
GitHub Stars 3.1K	GitHub Stars -
GitHub Forks 176	GitHub Forks -
Stacks 6	Stacks 204
Followers 16	Followers 148
Votes 0	Votes 4
Pros & Cons
No community feedback yet	Pros 4 OSS

What are some alternatives to Netflix FlameScope, OpenTelemetry?

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.

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).

Related Comparisons

Netflix FlameScope vs OpenTelemetry: What are the differences?

Focus Area: Netflix FlameScope primarily focuses on providing visualization tools for performance profiling, while OpenTelemetry is a set of APIs, libraries, agents, and instrumentation to enable observability in applications.
Data Collection: FlameScope collects data by ingesting profiler outputs from various sources, including Linux perf, DTrace, and eBPF, whereas OpenTelemetry collects data through instrumentation libraries added directly to the codebase of applications.
scalability: FlameScope is more suitable for visualizing and analyzing small to medium-sized datasets due to its limited scalability, whereas OpenTelemetry is designed to handle large-scale distributed environments with ease.
Community Support: OpenTelemetry has a large and active community supporting its development and integration across various platforms and languages, while FlameScope, being a project within Netflix, may have limited community support and resources.
Flexibility: OpenTelemetry offers flexibility in terms of vendor-agnostic telemetry collection, allowing users to switch between different backends and services seamlessly, while FlameScope is more specialized in its use case and not as flexible in terms of integration with various monitoring and observability tools.
Real-time Monitoring: OpenTelemetry provides real-time monitoring capabilities, allowing users to observe and analyze performance metrics instantaneously, while FlameScope may not be as suitable for real-time monitoring due to its focus on historical performance data analysis.

In Summary, Netflix FlameScope and OpenTelemetry differ in their focus areas, data collection methods, scalability, community support, flexibility, and real-time monitoring capabilities.

Netflix FlameScope vs OpenTelemetry

Overview