SlideShare a Scribd company logo
Performance Optimization 101
Louis-Philippe Gauthier
Team leader @ AdGear Trader
Exercise
HTTP API server
API

GET /date - returns today’s date
GET /time - returns the unix time in seconds
HTTP API server
TODO

•

accepting connections

•

parsing http requests

•

routing

•

building responses
HTTP API server
accepting connections
HTTP API server
accepting connections
HTTP API server
accepting connections

•

gen_tcp:controlling_process/2 is slow

•

spawn worker with ListenSocket

•

worker accepts and ack’s listener
HTTP API server
accepting connections
HTTP API server
accepting connections
HTTP API server
accepting connections
HTTP API server
accepting connections

•

use proc_lib instead of gen_server

•

socket options:
•

binary

•

{backlog, 4196}

•

{raw, 6, 9, <<30:32/native>>}
HTTP API server
parsing request
HTTP API server
parsing request
HTTP API server
parsing request

•

binary matching is very powerful!

•

working with binaries is more memory efficient
•

binaries over 64 bytes are shared (not copied)

•

faster than the built-in http parser (BIF) when
running on many cores and using hipe

•

keep state in a record
•

O(1) lookups
HTTP API server
routing
HTTP API server
routing

pattern matching is awesome!!
HTTP API server
building response
HTTP API server
building response
HTTP API server
building response
HTTP API server
building response

•

ETS is your friend!

•

cache time date in ETS public table
•

{read_concurrency, true}

•

if you store a binary over 64 bytes, it won’t get
copied!

•

have a gen_server update the cache
•

every second for the time

•

every day for the date
HTTP API server
building response

•

do not try to rewrite everything

•

use community projects and contribute back!

•

often your application will spend most of its time
talking to external services

•

premature optimization is usually bad
Gotchas
slow functions / modules

•

erlang:now/0 vs os:timestamp/0

•

proplists:get_value() vs lists:keyfind()

•

timer:send_after() vs erlang:send_after()

•

gen_udp:send() vs erlang:port_command()

•

avoid erlang:controlling_process() if you can

•

avoid base64, string, unicode modules
Tools
Profiling
info

•

useful to find slow code paths

•

fprof
•
•

output is really hard to understand

•
•

uses erlang:trace/3

erlgrind to read in kcachegrind

eflame
•

also uses erlang:trace/3

•

nice graphical output
Eflame
info

•

flamechart.pl (from Joyent)

•

makes it visually easy to find slow function calls
Eflame
how to
Eflame
info
Micro benchmarks
info

•

start with profiling

•

useful for experimentation and to validate
hypothesis

•

small benchmarking library called timing
•

uses the excellent bear (statistics) library
Micro benchmarks
how to
Micro benchmarks
info

# parallel processes

erlang:now/0

os:timestamp/0

1

0.99

0.87

10

22.87

2.54

100

168.23

16.99

1000

664.46

51.98
Hipe
info

•

native, {hipe, [o3]}

•

doesn’t mix with NIFs
•

•

on_load

switching between non-native and native code is
expensive
•

different call stacks

•

might overload the code_server (bug?)

•

—enable-native-libs

•

hipe_bifs (sshhh)
Hipe
how to
NIFs
info

•

function that is implemented in C instead of Erlang

•

can be dangerous…
•
•

OOM (memory leak)

•
•

crash VM (segfault)
must return < 500 us (to be safe…)

ideally should yield and use enif_consume_timeslice
•

•

what is a reduction?

dirty schedulers (R17)
•

finally!
Process Tuning
info

•

tune min_heap_size on spawn

•

fullsweep_after if you have memory issues
•

•

force gc

+hms (set default min_heap_size)
Process Tuning
info
Monitoring
info

•

statsderl for application metrics

•

vmstats for VM metrics

•

system_stats for OS metrics

•

erlang:system_monitor/2

•

entop for live system exploration
Statsderl
info

•

statsd client

•

very cheap to call (async)

•

offers 3 kinds of metrics:
•

counters - for counting (e.g QPS)

•

gauges - for absolute values (e.g. system memory)

•

timers - similar to gauges but with extra statistics
Statsderl
how to
VM Stats
info

•

process count

•

messages in queues

•

run queue length

•

memory (total, proc_used, atom_used, binary, ETS)

•

scheduler utilization (per scheduler)

•

garbage collection (count, words reclaimed)

•

reductions

•

IO bytes (in/out)
VM Stats
info
System Stats
info

•

load1, load5, load15

•

cpu percent
•

can be misleading because of spinning
schedulers

•

virtual memory size

•

resident memory size
•

very useful to track those OOM crashes
!
System Stats
info
System Monitor
info

•

monitoring for:
•
•

busy_dist_port

•

long_gc

•

long_schedule

•
•

busy_port

large_heap

riak_sysmon + lager / statsderl handler
System Monitor
how to
Dashboard
info
Entop
info

•

top(1)-like tool for the Erlang VM

•

can be used remotely

•

gives per process:
•
•

reductions

•

message queue length

•

!

pid / name

heap size
Entop
info
VM Tuning
info

•

+K true (kernel polling)

•

+sct db (scheduler bind)

•

+scl false (disable load distribution)

•

+sfwi 500 (force sheduler wakeup NIFs)

•

+spp true (port parallelism)

•

+zdbbl (distribution buffer busy limit)

•

test with production load (synthetic benchmarks
can be misleading)
Cset
info

•

tool to help create cpusets

•

reduces non voluntary
context-switches

•

reserve first two CPUs for
interrupts and background
jobs

•

reserve rest of CPUs for the
Erlang VM

•

linux only
Cpuset
how to
Lock counter
info
Other tools
info

•

system limits
•
•

•

ulimit -n
sysctl

dtrace / systemtap
•

application + OS tracing
Links
info
•

https://github.com/proger/eflame

•

https://github.com/lpgauth/timing

•

https://github.com/lpgauth/statsderl

•

https://github.com/ferd/vmstats

•

https://github.com/lpgauth/system-stats

•

https://github.com/mazenharake/entop

•

https://github.com/ratelle/cpuset
Thank you!
github: lpgauth!
irc: lpgauth (@erlounge)!
twitter: lpgauth

More Related Content

What's hot

Troubleshooting common oslo.messaging and RabbitMQ issues
Troubleshooting common oslo.messaging and RabbitMQ issuesTroubleshooting common oslo.messaging and RabbitMQ issues
Troubleshooting common oslo.messaging and RabbitMQ issues
Michael Klishin
 
(WEB401) Optimizing Your Web Server on AWS | AWS re:Invent 2014
(WEB401) Optimizing Your Web Server on AWS | AWS re:Invent 2014(WEB401) Optimizing Your Web Server on AWS | AWS re:Invent 2014
(WEB401) Optimizing Your Web Server on AWS | AWS re:Invent 2014
Amazon Web Services
 
Continuous Go Profiling & Observability
Continuous Go Profiling & ObservabilityContinuous Go Profiling & Observability
Continuous Go Profiling & Observability
ScyllaDB
 
Unikraft: Fast, Specialized Unikernels the Easy Way
Unikraft: Fast, Specialized Unikernels the Easy WayUnikraft: Fast, Specialized Unikernels the Easy Way
Unikraft: Fast, Specialized Unikernels the Easy Way
ScyllaDB
 
Doing QoS Before Ceph Cluster QoS is available - David Byte, Alex Lau
Doing QoS Before Ceph Cluster QoS is available - David Byte, Alex LauDoing QoS Before Ceph Cluster QoS is available - David Byte, Alex Lau
Doing QoS Before Ceph Cluster QoS is available - David Byte, Alex Lau
Ceph Community
 
Automatic Operation Bot for Ceph - You Ji
Automatic Operation Bot for Ceph - You JiAutomatic Operation Bot for Ceph - You Ji
Automatic Operation Bot for Ceph - You Ji
Ceph Community
 
Data Structures for High Resolution, Real-time Telemetry at Scale
Data Structures for High Resolution, Real-time Telemetry at ScaleData Structures for High Resolution, Real-time Telemetry at Scale
Data Structures for High Resolution, Real-time Telemetry at Scale
ScyllaDB
 
Keeping Latency Low and Throughput High with Application-level Priority Manag...
Keeping Latency Low and Throughput High with Application-level Priority Manag...Keeping Latency Low and Throughput High with Application-level Priority Manag...
Keeping Latency Low and Throughput High with Application-level Priority Manag...
ScyllaDB
 
Global deduplication for Ceph - Myoungwon Oh
Global deduplication for Ceph - Myoungwon OhGlobal deduplication for Ceph - Myoungwon Oh
Global deduplication for Ceph - Myoungwon Oh
Ceph Community
 
Rust Is Safe. But Is It Fast?
Rust Is Safe. But Is It Fast?Rust Is Safe. But Is It Fast?
Rust Is Safe. But Is It Fast?
ScyllaDB
 
Crimson: Ceph for the Age of NVMe and Persistent Memory
Crimson: Ceph for the Age of NVMe and Persistent MemoryCrimson: Ceph for the Age of NVMe and Persistent Memory
Crimson: Ceph for the Age of NVMe and Persistent Memory
ScyllaDB
 
Scylla Summit 2018: Rebuilding the Ceph Distributed Storage Solution with Sea...
Scylla Summit 2018: Rebuilding the Ceph Distributed Storage Solution with Sea...Scylla Summit 2018: Rebuilding the Ceph Distributed Storage Solution with Sea...
Scylla Summit 2018: Rebuilding the Ceph Distributed Storage Solution with Sea...
ScyllaDB
 
Performance
PerformancePerformance
Performance
Christophe Marchal
 
How to tune Kafka® for production
How to tune Kafka® for productionHow to tune Kafka® for production
How to tune Kafka® for production
confluent
 
Tips on High Performance Server Programming
Tips on High Performance Server ProgrammingTips on High Performance Server Programming
Tips on High Performance Server Programming
Joshua Zhu
 
Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...
Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...
Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...
confluent
 
Peter Zaitsev "18 ways to fix MySQL bottlenecks"
Peter Zaitsev "18 ways to fix MySQL bottlenecks"Peter Zaitsev "18 ways to fix MySQL bottlenecks"
Peter Zaitsev "18 ways to fix MySQL bottlenecks"
Fwdays
 
[POSS 2019] OVirt and Ceph: Perfect Combination.?
[POSS 2019] OVirt and  Ceph: Perfect Combination.?[POSS 2019] OVirt and  Ceph: Perfect Combination.?
[POSS 2019] OVirt and Ceph: Perfect Combination.?
Worteks
 
Object Compaction in Cloud for High Yield
Object Compaction in Cloud for High YieldObject Compaction in Cloud for High Yield
Object Compaction in Cloud for High Yield
ScyllaDB
 
Porting and Optimization of Numerical Libraries for ARM SVE
Porting and Optimization of Numerical Libraries for ARM SVEPorting and Optimization of Numerical Libraries for ARM SVE
Porting and Optimization of Numerical Libraries for ARM SVE
Linaro
 

What's hot (20)

Troubleshooting common oslo.messaging and RabbitMQ issues
Troubleshooting common oslo.messaging and RabbitMQ issuesTroubleshooting common oslo.messaging and RabbitMQ issues
Troubleshooting common oslo.messaging and RabbitMQ issues
 
(WEB401) Optimizing Your Web Server on AWS | AWS re:Invent 2014
(WEB401) Optimizing Your Web Server on AWS | AWS re:Invent 2014(WEB401) Optimizing Your Web Server on AWS | AWS re:Invent 2014
(WEB401) Optimizing Your Web Server on AWS | AWS re:Invent 2014
 
Continuous Go Profiling & Observability
Continuous Go Profiling & ObservabilityContinuous Go Profiling & Observability
Continuous Go Profiling & Observability
 
Unikraft: Fast, Specialized Unikernels the Easy Way
Unikraft: Fast, Specialized Unikernels the Easy WayUnikraft: Fast, Specialized Unikernels the Easy Way
Unikraft: Fast, Specialized Unikernels the Easy Way
 
Doing QoS Before Ceph Cluster QoS is available - David Byte, Alex Lau
Doing QoS Before Ceph Cluster QoS is available - David Byte, Alex LauDoing QoS Before Ceph Cluster QoS is available - David Byte, Alex Lau
Doing QoS Before Ceph Cluster QoS is available - David Byte, Alex Lau
 
Automatic Operation Bot for Ceph - You Ji
Automatic Operation Bot for Ceph - You JiAutomatic Operation Bot for Ceph - You Ji
Automatic Operation Bot for Ceph - You Ji
 
Data Structures for High Resolution, Real-time Telemetry at Scale
Data Structures for High Resolution, Real-time Telemetry at ScaleData Structures for High Resolution, Real-time Telemetry at Scale
Data Structures for High Resolution, Real-time Telemetry at Scale
 
Keeping Latency Low and Throughput High with Application-level Priority Manag...
Keeping Latency Low and Throughput High with Application-level Priority Manag...Keeping Latency Low and Throughput High with Application-level Priority Manag...
Keeping Latency Low and Throughput High with Application-level Priority Manag...
 
Global deduplication for Ceph - Myoungwon Oh
Global deduplication for Ceph - Myoungwon OhGlobal deduplication for Ceph - Myoungwon Oh
Global deduplication for Ceph - Myoungwon Oh
 
Rust Is Safe. But Is It Fast?
Rust Is Safe. But Is It Fast?Rust Is Safe. But Is It Fast?
Rust Is Safe. But Is It Fast?
 
Crimson: Ceph for the Age of NVMe and Persistent Memory
Crimson: Ceph for the Age of NVMe and Persistent MemoryCrimson: Ceph for the Age of NVMe and Persistent Memory
Crimson: Ceph for the Age of NVMe and Persistent Memory
 
Scylla Summit 2018: Rebuilding the Ceph Distributed Storage Solution with Sea...
Scylla Summit 2018: Rebuilding the Ceph Distributed Storage Solution with Sea...Scylla Summit 2018: Rebuilding the Ceph Distributed Storage Solution with Sea...
Scylla Summit 2018: Rebuilding the Ceph Distributed Storage Solution with Sea...
 
Performance
PerformancePerformance
Performance
 
How to tune Kafka® for production
How to tune Kafka® for productionHow to tune Kafka® for production
How to tune Kafka® for production
 
Tips on High Performance Server Programming
Tips on High Performance Server ProgrammingTips on High Performance Server Programming
Tips on High Performance Server Programming
 
Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...
Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...
Kafka Summit SF 2017 - One Day, One Data Hub, 100 Billion Messages: Kafka at ...
 
Peter Zaitsev "18 ways to fix MySQL bottlenecks"
Peter Zaitsev "18 ways to fix MySQL bottlenecks"Peter Zaitsev "18 ways to fix MySQL bottlenecks"
Peter Zaitsev "18 ways to fix MySQL bottlenecks"
 
[POSS 2019] OVirt and Ceph: Perfect Combination.?
[POSS 2019] OVirt and  Ceph: Perfect Combination.?[POSS 2019] OVirt and  Ceph: Perfect Combination.?
[POSS 2019] OVirt and Ceph: Perfect Combination.?
 
Object Compaction in Cloud for High Yield
Object Compaction in Cloud for High YieldObject Compaction in Cloud for High Yield
Object Compaction in Cloud for High Yield
 
Porting and Optimization of Numerical Libraries for ARM SVE
Porting and Optimization of Numerical Libraries for ARM SVEPorting and Optimization of Numerical Libraries for ARM SVE
Porting and Optimization of Numerical Libraries for ARM SVE
 

Viewers also liked

High Performance Erlang - Pitfalls and Solutions
High Performance Erlang - Pitfalls and SolutionsHigh Performance Erlang - Pitfalls and Solutions
High Performance Erlang - Pitfalls and Solutions
Yinghai Lu
 
Building Sexy Real-Time Analytics Systems - Erlang Factory NYC / Toronto 2013
Building Sexy Real-Time Analytics Systems - Erlang Factory NYC / Toronto 2013Building Sexy Real-Time Analytics Systems - Erlang Factory NYC / Toronto 2013
Building Sexy Real-Time Analytics Systems - Erlang Factory NYC / Toronto 2013
lpgauth
 
Debugging Complex Systems - Erlang Factory SF 2015
Debugging Complex Systems - Erlang Factory SF 2015Debugging Complex Systems - Erlang Factory SF 2015
Debugging Complex Systems - Erlang Factory SF 2015
lpgauth
 
Scaling LoL Chat to 70M Players
Scaling LoL Chat to 70M PlayersScaling LoL Chat to 70M Players
Scaling LoL Chat to 70M Players
Michał Ptaszek
 
Comparing Cpp And Erlang For Motorola Telecoms Software
Comparing Cpp And Erlang For Motorola Telecoms SoftwareComparing Cpp And Erlang For Motorola Telecoms Software
Comparing Cpp And Erlang For Motorola Telecoms Softwarel xf
 
Craig Kerstiens - Scalable Uniques in Postgres @ Postgres Open
Craig Kerstiens - Scalable Uniques in Postgres @ Postgres OpenCraig Kerstiens - Scalable Uniques in Postgres @ Postgres Open
Craig Kerstiens - Scalable Uniques in Postgres @ Postgres OpenPostgresOpen
 
Ari xivo astricon_2016
Ari xivo astricon_2016Ari xivo astricon_2016
Ari xivo astricon_2016
Sylvain Boily
 
xPad - Building Simple Tablet OS with Gtk/WebKit
xPad - Building Simple Tablet OS with Gtk/WebKitxPad - Building Simple Tablet OS with Gtk/WebKit
xPad - Building Simple Tablet OS with Gtk/WebKit
Ping-Hsun Chen
 
WEIGHT MANAGEMENT Do it yourself Motivation and Tips
WEIGHT MANAGEMENT Do it yourself Motivation and TipsWEIGHT MANAGEMENT Do it yourself Motivation and Tips
WEIGHT MANAGEMENT Do it yourself Motivation and Tips
Ryan Fernando
 
webSocket通信を知らないiOSエンジニアが知っておいて損はしない(経験談的な)軽い話
webSocket通信を知らないiOSエンジニアが知っておいて損はしない(経験談的な)軽い話webSocket通信を知らないiOSエンジニアが知っておいて損はしない(経験談的な)軽い話
webSocket通信を知らないiOSエンジニアが知っておいて損はしない(経験談的な)軽い話
Yuhei Miyazato
 
Useful PostgreSQL Extensions
Useful PostgreSQL ExtensionsUseful PostgreSQL Extensions
Useful PostgreSQL Extensions
EDB
 
AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
Amazon Web Services
 
Architectures for High Availability - QConSF
Architectures for High Availability - QConSFArchitectures for High Availability - QConSF
Architectures for High Availability - QConSF
Adrian Cockcroft
 
Erlang containers
Erlang containersErlang containers
Erlang containers
Sargun Dhillon
 
Fabric, Cuisine and Watchdog for server administration in Python
Fabric, Cuisine and Watchdog for server administration in PythonFabric, Cuisine and Watchdog for server administration in Python
Fabric, Cuisine and Watchdog for server administration in Python
FFunction inc
 
KazooCon 2014 - Kazoo Scalability
KazooCon 2014 - Kazoo ScalabilityKazooCon 2014 - Kazoo Scalability
KazooCon 2014 - Kazoo Scalability2600Hz
 
Introduction to Kafka Streams
Introduction to Kafka StreamsIntroduction to Kafka Streams
Introduction to Kafka Streams
Guozhang Wang
 
Staying Afloat with Buoy: A High-Performance HTTP Client
Staying Afloat with Buoy: A High-Performance HTTP ClientStaying Afloat with Buoy: A High-Performance HTTP Client
Staying Afloat with Buoy: A High-Performance HTTP Client
lpgauth
 
Astricon 2010: Scaling Asterisk installations
Astricon 2010: Scaling Asterisk installationsAstricon 2010: Scaling Asterisk installations
Astricon 2010: Scaling Asterisk installations
Olle E Johansson
 
User-tailored Inter-Widget Communication Extending the Shared Data Interface ...
User-tailored Inter-Widget Communication Extending the Shared Data Interface ...User-tailored Inter-Widget Communication Extending the Shared Data Interface ...
User-tailored Inter-Widget Communication Extending the Shared Data Interface ...
Hendrik Drachsler
 

Viewers also liked (20)

High Performance Erlang - Pitfalls and Solutions
High Performance Erlang - Pitfalls and SolutionsHigh Performance Erlang - Pitfalls and Solutions
High Performance Erlang - Pitfalls and Solutions
 
Building Sexy Real-Time Analytics Systems - Erlang Factory NYC / Toronto 2013
Building Sexy Real-Time Analytics Systems - Erlang Factory NYC / Toronto 2013Building Sexy Real-Time Analytics Systems - Erlang Factory NYC / Toronto 2013
Building Sexy Real-Time Analytics Systems - Erlang Factory NYC / Toronto 2013
 
Debugging Complex Systems - Erlang Factory SF 2015
Debugging Complex Systems - Erlang Factory SF 2015Debugging Complex Systems - Erlang Factory SF 2015
Debugging Complex Systems - Erlang Factory SF 2015
 
Scaling LoL Chat to 70M Players
Scaling LoL Chat to 70M PlayersScaling LoL Chat to 70M Players
Scaling LoL Chat to 70M Players
 
Comparing Cpp And Erlang For Motorola Telecoms Software
Comparing Cpp And Erlang For Motorola Telecoms SoftwareComparing Cpp And Erlang For Motorola Telecoms Software
Comparing Cpp And Erlang For Motorola Telecoms Software
 
Craig Kerstiens - Scalable Uniques in Postgres @ Postgres Open
Craig Kerstiens - Scalable Uniques in Postgres @ Postgres OpenCraig Kerstiens - Scalable Uniques in Postgres @ Postgres Open
Craig Kerstiens - Scalable Uniques in Postgres @ Postgres Open
 
Ari xivo astricon_2016
Ari xivo astricon_2016Ari xivo astricon_2016
Ari xivo astricon_2016
 
xPad - Building Simple Tablet OS with Gtk/WebKit
xPad - Building Simple Tablet OS with Gtk/WebKitxPad - Building Simple Tablet OS with Gtk/WebKit
xPad - Building Simple Tablet OS with Gtk/WebKit
 
WEIGHT MANAGEMENT Do it yourself Motivation and Tips
WEIGHT MANAGEMENT Do it yourself Motivation and TipsWEIGHT MANAGEMENT Do it yourself Motivation and Tips
WEIGHT MANAGEMENT Do it yourself Motivation and Tips
 
webSocket通信を知らないiOSエンジニアが知っておいて損はしない(経験談的な)軽い話
webSocket通信を知らないiOSエンジニアが知っておいて損はしない(経験談的な)軽い話webSocket通信を知らないiOSエンジニアが知っておいて損はしない(経験談的な)軽い話
webSocket通信を知らないiOSエンジニアが知っておいて損はしない(経験談的な)軽い話
 
Useful PostgreSQL Extensions
Useful PostgreSQL ExtensionsUseful PostgreSQL Extensions
Useful PostgreSQL Extensions
 
AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
AWS as a Data Platform for Cloud and On-Premises Workloads | AWS Public Secto...
 
Architectures for High Availability - QConSF
Architectures for High Availability - QConSFArchitectures for High Availability - QConSF
Architectures for High Availability - QConSF
 
Erlang containers
Erlang containersErlang containers
Erlang containers
 
Fabric, Cuisine and Watchdog for server administration in Python
Fabric, Cuisine and Watchdog for server administration in PythonFabric, Cuisine and Watchdog for server administration in Python
Fabric, Cuisine and Watchdog for server administration in Python
 
KazooCon 2014 - Kazoo Scalability
KazooCon 2014 - Kazoo ScalabilityKazooCon 2014 - Kazoo Scalability
KazooCon 2014 - Kazoo Scalability
 
Introduction to Kafka Streams
Introduction to Kafka StreamsIntroduction to Kafka Streams
Introduction to Kafka Streams
 
Staying Afloat with Buoy: A High-Performance HTTP Client
Staying Afloat with Buoy: A High-Performance HTTP ClientStaying Afloat with Buoy: A High-Performance HTTP Client
Staying Afloat with Buoy: A High-Performance HTTP Client
 
Astricon 2010: Scaling Asterisk installations
Astricon 2010: Scaling Asterisk installationsAstricon 2010: Scaling Asterisk installations
Astricon 2010: Scaling Asterisk installations
 
User-tailored Inter-Widget Communication Extending the Shared Data Interface ...
User-tailored Inter-Widget Communication Extending the Shared Data Interface ...User-tailored Inter-Widget Communication Extending the Shared Data Interface ...
User-tailored Inter-Widget Communication Extending the Shared Data Interface ...
 

Similar to Performance optimization 101 - Erlang Factory SF 2014

Infrastructure, Hiphop for PHP, deploy @ Hyves
Infrastructure, Hiphop for PHP, deploy @ HyvesInfrastructure, Hiphop for PHP, deploy @ Hyves
Infrastructure, Hiphop for PHP, deploy @ Hyves
Marco Londero
 
Practical IoT Exploitation (DEFCON23 IoTVillage) - Lyon Yang
Practical IoT Exploitation (DEFCON23 IoTVillage) - Lyon YangPractical IoT Exploitation (DEFCON23 IoTVillage) - Lyon Yang
Practical IoT Exploitation (DEFCON23 IoTVillage) - Lyon Yang
Lyon Yang
 
Does the SPL still have any relevance in the Brave New World of PHP7?
Does the SPL still have any relevance in the Brave New World of PHP7?Does the SPL still have any relevance in the Brave New World of PHP7?
Does the SPL still have any relevance in the Brave New World of PHP7?
Mark Baker
 
Does the SPL still have any relevance in the Brave New World of PHP7?
Does the SPL still have any relevance in the Brave New World of PHP7?Does the SPL still have any relevance in the Brave New World of PHP7?
Does the SPL still have any relevance in the Brave New World of PHP7?
Mark Baker
 
Criteo meetup - S.R.E Tech Talk
Criteo meetup - S.R.E Tech TalkCriteo meetup - S.R.E Tech Talk
Criteo meetup - S.R.E Tech Talk
Pierre Mavro
 
Large-scale Web Apps @ Pinterest
Large-scale Web Apps @ PinterestLarge-scale Web Apps @ Pinterest
Large-scale Web Apps @ Pinterest
HBaseCon
 
HBase Low Latency, StrataNYC 2014
HBase Low Latency, StrataNYC 2014HBase Low Latency, StrataNYC 2014
HBase Low Latency, StrataNYC 2014
Nick Dimiduk
 
HBase: Where Online Meets Low Latency
HBase: Where Online Meets Low LatencyHBase: Where Online Meets Low Latency
HBase: Where Online Meets Low Latency
HBaseCon
 
Ingesting hdfs intosolrusingsparktrimmed
Ingesting hdfs intosolrusingsparktrimmedIngesting hdfs intosolrusingsparktrimmed
Ingesting hdfs intosolrusingsparktrimmed
whoschek
 
Apache HBase Low Latency
Apache HBase Low LatencyApache HBase Low Latency
Apache HBase Low Latency
Nick Dimiduk
 
Portable PHP
Portable PHPPortable PHP
Portable PHP
weltling
 
Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...
SignalFx
 
Scaling tappsi
Scaling tappsiScaling tappsi
Scaling tappsi
Óscar Andrés López
 
Northeast PHP - High Performance PHP
Northeast PHP - High Performance PHPNortheast PHP - High Performance PHP
Northeast PHP - High Performance PHP
Jonathan Klein
 
ExpressionEngine - Simple Steps to Performance and Security (EECI 2014)
ExpressionEngine - Simple Steps to Performance and Security (EECI 2014)ExpressionEngine - Simple Steps to Performance and Security (EECI 2014)
ExpressionEngine - Simple Steps to Performance and Security (EECI 2014)Nexcess.net LLC
 
Induction training-cache
Induction training-cacheInduction training-cache
Induction training-cache
faliamm
 
Php internal architecture
Php internal architecturePhp internal architecture
Php internal architecture
Elizabeth Smith
 
Ruby and Distributed Storage Systems
Ruby and Distributed Storage SystemsRuby and Distributed Storage Systems
Ruby and Distributed Storage Systems
SATOSHI TAGOMORI
 

Similar to Performance optimization 101 - Erlang Factory SF 2014 (20)

Infrastructure, Hiphop for PHP, deploy @ Hyves
Infrastructure, Hiphop for PHP, deploy @ HyvesInfrastructure, Hiphop for PHP, deploy @ Hyves
Infrastructure, Hiphop for PHP, deploy @ Hyves
 
HBase Low Latency
HBase Low LatencyHBase Low Latency
HBase Low Latency
 
Practical IoT Exploitation (DEFCON23 IoTVillage) - Lyon Yang
Practical IoT Exploitation (DEFCON23 IoTVillage) - Lyon YangPractical IoT Exploitation (DEFCON23 IoTVillage) - Lyon Yang
Practical IoT Exploitation (DEFCON23 IoTVillage) - Lyon Yang
 
Does the SPL still have any relevance in the Brave New World of PHP7?
Does the SPL still have any relevance in the Brave New World of PHP7?Does the SPL still have any relevance in the Brave New World of PHP7?
Does the SPL still have any relevance in the Brave New World of PHP7?
 
Does the SPL still have any relevance in the Brave New World of PHP7?
Does the SPL still have any relevance in the Brave New World of PHP7?Does the SPL still have any relevance in the Brave New World of PHP7?
Does the SPL still have any relevance in the Brave New World of PHP7?
 
Criteo meetup - S.R.E Tech Talk
Criteo meetup - S.R.E Tech TalkCriteo meetup - S.R.E Tech Talk
Criteo meetup - S.R.E Tech Talk
 
Large-scale Web Apps @ Pinterest
Large-scale Web Apps @ PinterestLarge-scale Web Apps @ Pinterest
Large-scale Web Apps @ Pinterest
 
HBase Low Latency, StrataNYC 2014
HBase Low Latency, StrataNYC 2014HBase Low Latency, StrataNYC 2014
HBase Low Latency, StrataNYC 2014
 
HBase: Where Online Meets Low Latency
HBase: Where Online Meets Low LatencyHBase: Where Online Meets Low Latency
HBase: Where Online Meets Low Latency
 
Ingesting hdfs intosolrusingsparktrimmed
Ingesting hdfs intosolrusingsparktrimmedIngesting hdfs intosolrusingsparktrimmed
Ingesting hdfs intosolrusingsparktrimmed
 
Apache HBase Low Latency
Apache HBase Low LatencyApache HBase Low Latency
Apache HBase Low Latency
 
Portable PHP
Portable PHPPortable PHP
Portable PHP
 
Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...
 
Scaling tappsi
Scaling tappsiScaling tappsi
Scaling tappsi
 
Northeast PHP - High Performance PHP
Northeast PHP - High Performance PHPNortheast PHP - High Performance PHP
Northeast PHP - High Performance PHP
 
ExpressionEngine - Simple Steps to Performance and Security (EECI 2014)
ExpressionEngine - Simple Steps to Performance and Security (EECI 2014)ExpressionEngine - Simple Steps to Performance and Security (EECI 2014)
ExpressionEngine - Simple Steps to Performance and Security (EECI 2014)
 
Induction training-cache
Induction training-cacheInduction training-cache
Induction training-cache
 
Php internal architecture
Php internal architecturePhp internal architecture
Php internal architecture
 
Ruby and Distributed Storage Systems
Ruby and Distributed Storage SystemsRuby and Distributed Storage Systems
Ruby and Distributed Storage Systems
 
Top ten-list
Top ten-listTop ten-list
Top ten-list
 

Recently uploaded

Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
DianaGray10
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Jeffrey Haguewood
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Ramesh Iyer
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
Product School
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
Thijs Feryn
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
Safe Software
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
91mobiles
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Inflectra
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
BookNet Canada
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
Product School
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
Dorra BARTAGUIZ
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
Alison B. Lowndes
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
Elena Simperl
 

Recently uploaded (20)

Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 
UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3UiPath Test Automation using UiPath Test Suite series, part 3
UiPath Test Automation using UiPath Test Suite series, part 3
 
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...
 
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
 
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...
 
Accelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish CachingAccelerate your Kubernetes clusters with Varnish Caching
Accelerate your Kubernetes clusters with Varnish Caching
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with ParametersEssentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
 
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdfFIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf
 
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdfSmart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
 
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualitySoftware Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...Transcript: Selling digital books in 2024: Insights from industry leaders - T...
Transcript: Selling digital books in 2024: Insights from industry leaders - T...
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...
 
Elevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object CalisthenicsElevating Tactical DDD Patterns Through Object Calisthenics
Elevating Tactical DDD Patterns Through Object Calisthenics
 
Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........Bits & Pixels using AI for Good.........
Bits & Pixels using AI for Good.........
 
When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...When stars align: studies in data quality, knowledge graphs, and machine lear...
When stars align: studies in data quality, knowledge graphs, and machine lear...
 

Performance optimization 101 - Erlang Factory SF 2014