• Stars
    star
    2,979
  • Rank 15,109 (Top 0.3 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created over 6 years ago
  • Updated about 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

FlameScope is a visualization tool for exploring different time ranges as Flame Graphs.

FlameScope

FlameScope

Gitter TravisCI NetflixOSS Lifecycle License

FlameScope is a visualization tool for exploring different time ranges as Flame Graphs, allowing quick analysis of performance issues such as perturbations, variance, single-threaded execution, and more.

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.

Disclaimer

FlameScope is in early stages of development and under constant change, so bugs and issues are expected. We count on your support to find and report them!

Installation / Instructions

The quickest way to get started is to run the pre-built client bundle:

$ git clone https://github.com/Netflix/flamescope
$ cd flamescope
$ pip install -r requirements.txt
$ python run.py

(Note python3 is assumed, python2 may work)

Then browse to http://127.0.0.1:5000/, and you can begin exploring profiles from the examples directory. You can add new profiles to that directory, collected using Linux perf. Here are instructions for a generic CPU profile at 49 Hertz for 120 seconds:

$ sudo perf record -F 49 -a -g -- sleep 120
$ sudo perf script --header > stacks.myproductionapp.2018-03-30_01
$ gzip stacks.myproductionapp.2018-03-30_01	# optional

If you are profiling C++ code, you may want to pipe stacks through c++filt to get readable frames.

There are extra steps to fetch stacks correctly for some runtimes, depending on the runtime. For example, we've previously published Java steps in Java in Flames: java needs to be running with the -XX:+PreserveFramePointer option, and perf-map-agent must be run immediately after the perf record to dump a JIT symbol table in /tmp.

FlameScope can visualize any Linux perf script output that includes stack traces, including page faults, context switches, and other events. See the References section below for documentation.

FlameScope is composed of two main components, the Python backend, and a React client interface. A pre-built client bundle is distributed with the backend, so the quickest way to get started is to install the Python requirements and start the application, as described earlier.

Although not necessary, we strongly suggest using virtualenv to isolate your Python environment.

By default, FlameScope will load a list of files from the examples directory, which includes a two profile examples.

Configuration Options

FlameScope configuration file can be found in app/config.py.

DEBUG = True # run the web server in debug mode
PROFILE_DIR = 'examples' # path where flamescope will look for profiles
HOST = '127.0.0.1' # web server host
PORT = 5000 # web server port
JSONIFY_PRETTYPRINT_REGULAR = False # pretty print api json responses

Building Client from Source

In order to build the client application from source, the following command line tools must be installed:

Once those tools are available, you will be able to install the project dependencies and generate a build.

$ npm install
$ npm run webpack

The npm run webpack command will generate a new build under app/public. This directory is exposed by the Python web server.

Webpack can also watch and recompile files whenever they change. To build and start the watch task, run the following command:

$ npm run webpack-watch

Building a Docker Image

FlameScope provides a Dockerfile to build a Docker image:

$ cd flamescope
$ docker build -t flamescope .

The container expects the profiles to be bind-mounted into /profiles and listens on port 5000. To view profiles from /tmp/profiles, start the container with the following command:

$ docker run --rm -it -v /tmp/profiles:/profiles:ro -p 5000:5000 flamescope

Then access FlameScope on http://127.0.0.1:5000

References

More Repositories

1

Hystrix

Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.
Java
23,594
star
2

chaosmonkey

Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Go
14,410
star
3

zuul

Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.
Java
12,993
star
4

conductor

Conductor is a microservices orchestration engine.
Java
12,842
star
5

eureka

AWS Service registry for resilient mid-tier load balancing and failover.
Java
11,991
star
6

falcor

A JavaScript library for efficient data fetching
JavaScript
10,338
star
7

pollyjs

Record, Replay, and Stub HTTP Interactions.
JavaScript
10,184
star
8

metaflow

🚀 Build and manage real-life ML, AI, and data science projects with ease!
Python
8,012
star
9

SimianArmy

Tools for keeping your cloud operating in top form. Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Java
7,955
star
10

fast_jsonapi

No Longer Maintained - A lightning fast JSON:API serializer for Ruby Objects.
Ruby
5,078
star
11

dispatch

All of the ad-hoc things you're doing to manage incidents today, done for you, and much more!
Python
4,548
star
12

vmaf

Perceptual video quality assessment based on multi-method fusion.
Python
4,470
star
13

ribbon

Ribbon is a Inter Process Communication (remote procedure calls) library with built in software load balancers. The primary usage model involves REST calls with various serialization scheme support.
Java
4,468
star
14

security_monkey

Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs for assets and their changes over time.
Python
4,347
star
15

dynomite

A generic dynamo implementation for different k-v storage engines
C
4,104
star
16

vizceral

WebGL visualization for displaying animated traffic graphs
JavaScript
4,047
star
17

vector

Vector is an on-host performance monitoring framework which exposes hand picked high resolution metrics to every engineer’s browser.
JavaScript
3,588
star
18

atlas

In-memory dimensional time series database.
Scala
3,331
star
19

concurrency-limits

Java
3,216
star
20

consoleme

A Central Control Plane for AWS Permissions and Access
Python
3,114
star
21

dgs-framework

GraphQL for Java with Spring Boot made easy.
Kotlin
3,044
star
22

bless

Repository for BLESS, an SSH Certificate Authority that runs as a AWS Lambda function
Python
2,722
star
23

archaius

Library for configuration management API
Java
2,435
star
24

asgard

[Asgard is deprecated at Netflix. We use Spinnaker ( www.spinnaker.io ).] Web interface for application deployments and cloud management in Amazon Web Services (AWS). Binary download: http://github.com/Netflix/asgard/releases
Groovy
2,235
star
25

curator

ZooKeeper client wrapper and rich ZooKeeper framework
Java
2,138
star
26

EVCache

A distributed in-memory data store for the cloud
Java
2,001
star
27

titus

1,995
star
28

lemur

Repository for the Lemur Certificate Manager
Python
1,651
star
29

bpftop

bpftop provides a dynamic real-time view of running eBPF programs. It displays the average runtime, events per second, and estimated total CPU % for each program.
Rust
1,647
star
30

genie

Distributed Big Data Orchestration Service
Java
1,635
star
31

metacat

Java
1,555
star
32

netflix.github.com

HTML
1,419
star
33

servo

Netflix Application Monitoring Library
Java
1,408
star
34

mantis

A platform that makes it easy for developers to build realtime, cost-effective, operations-focused applications
Java
1,406
star
35

vectorflow

D
1,287
star
36

hubcommander

A Slack bot for GitHub organization management -- and other things too
Python
1,262
star
37

rend

A memcached proxy that manages data chunking and L1 / L2 caches
Go
1,174
star
38

hollow

Hollow is a java library and toolset for disseminating in-memory datasets from a single producer to many consumers for high performance read-only access.
Java
1,148
star
39

repokid

AWS Least Privilege for Distributed, High-Velocity Deployment
Python
1,104
star
40

astyanax

Cassandra Java Client
Java
1,034
star
41

Priam

Co-Process for backup/recovery, Token Management, and Centralized Configuration management for Cassandra.
Java
1,024
star
42

aminator

A tool for creating EBS AMIs. This tool currently works for CentOS/RedHat Linux images and is intended to run on an EC2 instance.
Python
938
star
43

Turbine

SSE Stream Aggregator
Java
831
star
44

governator

Governator is a library of extensions and utilities that enhance Google Guice to provide: classpath scanning and automatic binding, lifecycle management, configuration to field mapping, field validation and parallelized object warmup.
Java
821
star
45

Fido

C#
816
star
46

suro

Netflix's distributed Data Pipeline
Java
783
star
47

spectator

Client library for collecting metrics.
Java
743
star
48

security-bulletins

Security Bulletins that relate to Netflix Open Source
734
star
49

Fenzo

Extensible Scheduler for Mesos Frameworks
Java
703
star
50

msl

Message Security Layer
C++
687
star
51

unleash

Professionally publish your JavaScript modules in one keystroke
JavaScript
590
star
52

denominator

Portably control DNS clouds using java or bash
Java
573
star
53

blitz4j

Logging framework for fast asynchronous logging
Java
559
star
54

edda

AWS API Read Cache
Scala
554
star
55

PigPen

Map-Reduce for Clojure
Clojure
551
star
56

netflix-graph

Compact in-memory representation of directed graph data
Java
548
star
57

go-env

a golang library to manage environment variables
Go
542
star
58

karyon

The nucleus or the base container for Applications and Services built using the NetflixOSS ecosystem
Java
495
star
59

Prana

A sidecar for your NetflixOSS based services.
Java
492
star
60

iceberg

Iceberg is a table format for large, slow-moving tabular data
Java
465
star
61

Lipstick

Pig Visualization framework
JavaScript
464
star
62

Surus

Java
453
star
63

aws-autoscaling

Tools and Documentation about using Auto Scaling
Shell
429
star
64

go-expect

an expect-like golang library to automate control of terminal or console based programs.
Go
422
star
65

nf-data-explorer

The Data Explorer gives you fast, safe access to data stored in Cassandra, Dynomite, and Redis.
TypeScript
420
star
66

Workflowable

Ruby
370
star
67

osstracker

Github organization OSS metrics collector and metrics dashboard
Scala
365
star
68

vizceral-example

Example Vizceral app
JavaScript
363
star
69

ndbench

Netflix Data Store Benchmark
HTML
360
star
70

Raigad

Co-Process for backup/recovery, Auto Deployments and Centralized Configuration management for ElasticSearch
Java
346
star
71

recipes-rss

RSS Reader Recipes that uses several of the Netflix OSS components
Java
339
star
72

aegisthus

A Bulk Data Pipeline out of Cassandra
Java
323
star
73

weep

The ConsoleMe CLI utility
Go
322
star
74

metaflow-ui

🎨 UI for monitoring your Metaflow executions!
TypeScript
318
star
75

titus-control-plane

Titus is the Netflix Container Management Platform that manages containers and provides integrations to the infrastructure ecosystem.
Java
316
star
76

dyno-queues

Dyno Queues is a recipe that provides task queues utilizing Dynomite.
Java
264
star
77

image_compression_comparison

Image Compression Comparison Framework
Python
258
star
78

falcor-express-demo

Demonstration Falcor end point for a Netflix-style Application using express
HTML
246
star
79

gradle-template

Java
244
star
80

ember-nf-graph

Composable graphing component library for EmberJS.
JavaScript
241
star
81

falcor-router-demo

A demonstration of how to build a Router for a Netflix-like application
JavaScript
236
star
82

titus-executor

Titus Executor is the container runtime/executor implementation for Titus
Go
233
star
83

photon

Photon is a Java implementation of the Interoperable Master Format (IMF) standard. IMF is a SMPTE standard whose core constraints are defined in the specification st2067-2:2013
Java
233
star
84

dial-reference

C
228
star
85

s3mper

s3mper - Consistent Listing for S3
Java
218
star
86

ReactiveLab

Experiments and prototypes with reactive application design.
Java
208
star
87

inviso

JavaScript
205
star
88

NfWebCrypto

Web Cryptography API Polyfill
C++
205
star
89

staash

A language-agnostic as well as storage-agnostic web interface for storing data into persistent storage systems, the metadata layer abstracts a lot of storage details and the pattern automation APIs take care of automating common data access patterns.
Java
204
star
90

zeno

Netflix's In-Memory Data Propagation Framework
Java
200
star
91

brutal

A multi-network asynchronous chat bot framework using twisted
Python
200
star
92

vizceral-react

JavaScript
199
star
93

dispatch-docker

Shell
193
star
94

metaflow-service

🚀 Metadata tracking and UI service for Metaflow!
Python
187
star
95

pytheas

Web Resources and UI Framework
JavaScript
187
star
96

dyno

Java client for Dynomite
Java
184
star
97

hal-9001

Hal-9001 is a Go library that offers a number of facilities for creating a bot and its plugins.
Go
178
star
98

Nicobar

Java
171
star
99

lemur-docker

Docker files for the Lemur certificate orchestration tool
Python
170
star
100

yetch

Yet-another-fetch polyfill library. Supports AbortController/AbortSignal
JavaScript
168
star