SlideShare a Scribd company logo
gluent.com 1
Modern	Linux	Performance	Tools
Tanel	Poder
a	long	time	computer	performance	geek
gluent.com 2
Intro:	About	me
• Tanel	Põder
• Oracle	Database	Performance	geek	(18+	years)
• Exadata	Performance	geek
• Linux	Performance	geek
• Hadoop	Performance	geek
• CEO	&	co-founder:
Expert	Oracle	Exadata	
book
(2nd edition	is	out	now!)
Instant	
promotion
gluent.com 3
Gluent
Oracle
Teradata
NoSQL
Big	Data	
Sources
MSSQL
App	
X
App	
Y
App	
Z
Gluent	as	a	data	
virtualization	layer
Open	Data	
Formats!
Session:	
Extending	Oracle	
Data	Warehouses	
with	Hadoop
Wednesday	10am
Executive	Room	6
(small	room!)
gluent.com 4
Topics
• Not	much	about	basic	stuff	like	vmstat/iostat
• Also	nothing	about	SystemTap (or	Dtrace)
• Practical	stuff	that	you	can	(relatively)	safely	run	in	production
• Measuring	/	tracing	processes
• Measuring	IO
• Measuring	Memory
• Measuring	CPU
gluent.com 5
Measuring	Process	Activity	- 1
• Strace
• man strace
• strace -p <PID>
• https://fritshoogland.files.wordpress.com/2013/03/profiling_of_oracl
e_using_function_calls.pdf
• SysDig
• sysdig fd.name contains tnsnames
• sysdig -p "%evt.arg.name" proc.name=cat and
evt.type=open
• csysdig
• http://www.sysdig.org/wiki/sysdig-examples/
gluent.com 6
Measuring	Process	Activity	- 2
• /proc	filesystem
• Proc	filesystem	in	Linux	is	like	V$/X$	views	in	Oracle
• man proc
• https://www.kernel.org/doc/Documentation/filesystems/proc.txt
• http://blog.tanelpoder.com/2013/02/21/peeking-into-linux-kernel-
land-using-proc-filesystem-for-quickndirty-troubleshooting/
• psnapper (early	prototype!)
• ./psnapper <seconds> <pid>
• ./psnapper 5 1234
• http://blog.tanelpoder.com/files/scripts/tools/unix/psnapper
gluent.com 7
Measuring	IO
• iostat	in	RHEL	7
• /proc/<PID>/io
• iotop (or	htop,	atop)	
• blktrace /	blkparse (if	we	have	time)
• blktrace -d /dev/sda -o - | blkparse -i -
gluent.com 8
Measuring	Memory
• pmap -x	<PID>
• http://tech.e2sn.com/oracle/performance/unix-performance-
tools/process-memory-matrix (Solaris	example	but	roughly	the	same)
• cat	/proc/PID/smaps
• grep MMUPageSize: /proc/`pgrep dbw0`/smaps |
sort | uniq –c
• https://www.kernel.org/doc/Documentation/filesystems/proc.txt
• Smem
• sudo smem –u
• https://www.selenic.com/smem/
gluent.com 9
Measuring	CPU
• perf	top
• https://fritshoogland.wordpress.com/2012/07/10/the-linux-perf-
utility-with-el-6/
• perf	record	–g	&&	perf	report
• http://www.brendangregg.com/perf.html
• http://externaltable.blogspot.jp/2014/05/flame-graphs-for-
oracle.html
• perf	stat
• http://blog.tanelpoder.com/2015/08/09/ram-is-the-new-disk-and-
how-to-measure-its-performance-part-1/
gluent.com 10
Linux	performance	references
• Brendan	Gregg:
• http://www.brendangregg.com/linuxperf.html
• Luca	Canali’s articles:
• https://db-blog.web.cern.ch/blog/luca-canali/2015-12-extended-
stack-profiling-ideas-tools-and-comments
• Frits	Hoogland:
• https://fritshoogland.wordpress.com/
gluent.com 11
Thanks!
http://blog.tanelpoder.com
tanel@tanelpoder.com
@tanelpoder
We	are	hiring	developers	&	data	engineers!!!
http://gluent.com

More Related Content

What's hot

Moving Data Between Exadata and Hadoop
Moving Data Between Exadata and HadoopMoving Data Between Exadata and Hadoop
Moving Data Between Exadata and HadoopEnkitec
 
Hadoop databases for oracle DBAs
Hadoop databases for oracle DBAsHadoop databases for oracle DBAs
Hadoop databases for oracle DBAs
Maxym Kharchenko
 
Tuning Solr and its Pipeline for Logs: Presented by Rafał Kuć & Radu Gheorghe...
Tuning Solr and its Pipeline for Logs: Presented by Rafał Kuć & Radu Gheorghe...Tuning Solr and its Pipeline for Logs: Presented by Rafał Kuć & Radu Gheorghe...
Tuning Solr and its Pipeline for Logs: Presented by Rafał Kuć & Radu Gheorghe...
Lucidworks
 
Inside sql server in memory oltp sql sat nyc 2017
Inside sql server in memory oltp sql sat nyc 2017Inside sql server in memory oltp sql sat nyc 2017
Inside sql server in memory oltp sql sat nyc 2017
Bob Ward
 
Advanced Oracle Troubleshooting
Advanced Oracle TroubleshootingAdvanced Oracle Troubleshooting
Advanced Oracle Troubleshooting
Hector Martinez
 
Big Data and PostgreSQL
Big Data and PostgreSQLBig Data and PostgreSQL
Big Data and PostgreSQL
PGConf APAC
 
PostgreSQL WAL for DBAs
PostgreSQL WAL for DBAs PostgreSQL WAL for DBAs
PostgreSQL WAL for DBAs
PGConf APAC
 
Presto anatomy
Presto anatomyPresto anatomy
Presto anatomy
Dongmin Yu
 
PostgreSQL Enterprise Class Features and Capabilities
PostgreSQL Enterprise Class Features and CapabilitiesPostgreSQL Enterprise Class Features and Capabilities
PostgreSQL Enterprise Class Features and Capabilities
PGConf APAC
 
SQL Server In-Memory OLTP: What Every SQL Professional Should Know
SQL Server In-Memory OLTP: What Every SQL Professional Should KnowSQL Server In-Memory OLTP: What Every SQL Professional Should Know
SQL Server In-Memory OLTP: What Every SQL Professional Should Know
Bob Ward
 
Habits of Effective Sqoop Users
Habits of Effective Sqoop UsersHabits of Effective Sqoop Users
Habits of Effective Sqoop Users
Kathleen Ting
 
January 2015 HUG: Apache Flink: Fast and reliable large-scale data processing
January 2015 HUG: Apache Flink:  Fast and reliable large-scale data processingJanuary 2015 HUG: Apache Flink:  Fast and reliable large-scale data processing
January 2015 HUG: Apache Flink: Fast and reliable large-scale data processing
Yahoo Developer Network
 
Empowering developers to deploy their own data stores
Empowering developers to deploy their own data storesEmpowering developers to deploy their own data stores
Empowering developers to deploy their own data stores
Tomas Doran
 
Proving out flash storage array performance using swingbench and slob
Proving out flash storage array performance using swingbench and slobProving out flash storage array performance using swingbench and slob
Proving out flash storage array performance using swingbench and slob
Kapil Goyal
 
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Top 5 Mistakes to Avoid When Writing Apache Spark ApplicationsTop 5 Mistakes to Avoid When Writing Apache Spark Applications
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Cloudera, Inc.
 
Accelerating Shuffle: A Tailor-Made RDMA Solution for Apache Spark with Yuval...
Accelerating Shuffle: A Tailor-Made RDMA Solution for Apache Spark with Yuval...Accelerating Shuffle: A Tailor-Made RDMA Solution for Apache Spark with Yuval...
Accelerating Shuffle: A Tailor-Made RDMA Solution for Apache Spark with Yuval...
Spark Summit
 
Loading 350M documents into a large Solr cluster: Presented by Dion Olsthoorn...
Loading 350M documents into a large Solr cluster: Presented by Dion Olsthoorn...Loading 350M documents into a large Solr cluster: Presented by Dion Olsthoorn...
Loading 350M documents into a large Solr cluster: Presented by Dion Olsthoorn...
Lucidworks
 
ELK Ruminating on Logs (Zendcon 2016)
ELK Ruminating on Logs (Zendcon 2016)ELK Ruminating on Logs (Zendcon 2016)
ELK Ruminating on Logs (Zendcon 2016)
Mathew Beane
 
Lessons PostgreSQL learned from commercial databases, and didn’t
Lessons PostgreSQL learned from commercial databases, and didn’tLessons PostgreSQL learned from commercial databases, and didn’t
Lessons PostgreSQL learned from commercial databases, and didn’t
PGConf APAC
 
Big data 101 for beginners devoxxpl
Big data 101 for beginners devoxxplBig data 101 for beginners devoxxpl
Big data 101 for beginners devoxxpl
Duyhai Doan
 

What's hot (20)

Moving Data Between Exadata and Hadoop
Moving Data Between Exadata and HadoopMoving Data Between Exadata and Hadoop
Moving Data Between Exadata and Hadoop
 
Hadoop databases for oracle DBAs
Hadoop databases for oracle DBAsHadoop databases for oracle DBAs
Hadoop databases for oracle DBAs
 
Tuning Solr and its Pipeline for Logs: Presented by Rafał Kuć & Radu Gheorghe...
Tuning Solr and its Pipeline for Logs: Presented by Rafał Kuć & Radu Gheorghe...Tuning Solr and its Pipeline for Logs: Presented by Rafał Kuć & Radu Gheorghe...
Tuning Solr and its Pipeline for Logs: Presented by Rafał Kuć & Radu Gheorghe...
 
Inside sql server in memory oltp sql sat nyc 2017
Inside sql server in memory oltp sql sat nyc 2017Inside sql server in memory oltp sql sat nyc 2017
Inside sql server in memory oltp sql sat nyc 2017
 
Advanced Oracle Troubleshooting
Advanced Oracle TroubleshootingAdvanced Oracle Troubleshooting
Advanced Oracle Troubleshooting
 
Big Data and PostgreSQL
Big Data and PostgreSQLBig Data and PostgreSQL
Big Data and PostgreSQL
 
PostgreSQL WAL for DBAs
PostgreSQL WAL for DBAs PostgreSQL WAL for DBAs
PostgreSQL WAL for DBAs
 
Presto anatomy
Presto anatomyPresto anatomy
Presto anatomy
 
PostgreSQL Enterprise Class Features and Capabilities
PostgreSQL Enterprise Class Features and CapabilitiesPostgreSQL Enterprise Class Features and Capabilities
PostgreSQL Enterprise Class Features and Capabilities
 
SQL Server In-Memory OLTP: What Every SQL Professional Should Know
SQL Server In-Memory OLTP: What Every SQL Professional Should KnowSQL Server In-Memory OLTP: What Every SQL Professional Should Know
SQL Server In-Memory OLTP: What Every SQL Professional Should Know
 
Habits of Effective Sqoop Users
Habits of Effective Sqoop UsersHabits of Effective Sqoop Users
Habits of Effective Sqoop Users
 
January 2015 HUG: Apache Flink: Fast and reliable large-scale data processing
January 2015 HUG: Apache Flink:  Fast and reliable large-scale data processingJanuary 2015 HUG: Apache Flink:  Fast and reliable large-scale data processing
January 2015 HUG: Apache Flink: Fast and reliable large-scale data processing
 
Empowering developers to deploy their own data stores
Empowering developers to deploy their own data storesEmpowering developers to deploy their own data stores
Empowering developers to deploy their own data stores
 
Proving out flash storage array performance using swingbench and slob
Proving out flash storage array performance using swingbench and slobProving out flash storage array performance using swingbench and slob
Proving out flash storage array performance using swingbench and slob
 
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
Top 5 Mistakes to Avoid When Writing Apache Spark ApplicationsTop 5 Mistakes to Avoid When Writing Apache Spark Applications
Top 5 Mistakes to Avoid When Writing Apache Spark Applications
 
Accelerating Shuffle: A Tailor-Made RDMA Solution for Apache Spark with Yuval...
Accelerating Shuffle: A Tailor-Made RDMA Solution for Apache Spark with Yuval...Accelerating Shuffle: A Tailor-Made RDMA Solution for Apache Spark with Yuval...
Accelerating Shuffle: A Tailor-Made RDMA Solution for Apache Spark with Yuval...
 
Loading 350M documents into a large Solr cluster: Presented by Dion Olsthoorn...
Loading 350M documents into a large Solr cluster: Presented by Dion Olsthoorn...Loading 350M documents into a large Solr cluster: Presented by Dion Olsthoorn...
Loading 350M documents into a large Solr cluster: Presented by Dion Olsthoorn...
 
ELK Ruminating on Logs (Zendcon 2016)
ELK Ruminating on Logs (Zendcon 2016)ELK Ruminating on Logs (Zendcon 2016)
ELK Ruminating on Logs (Zendcon 2016)
 
Lessons PostgreSQL learned from commercial databases, and didn’t
Lessons PostgreSQL learned from commercial databases, and didn’tLessons PostgreSQL learned from commercial databases, and didn’t
Lessons PostgreSQL learned from commercial databases, and didn’t
 
Big data 101 for beginners devoxxpl
Big data 101 for beginners devoxxplBig data 101 for beginners devoxxpl
Big data 101 for beginners devoxxpl
 

Viewers also liked

Oracle Database In-Memory Option in Action
Oracle Database In-Memory Option in ActionOracle Database In-Memory Option in Action
Oracle Database In-Memory Option in Action
Tanel Poder
 
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 1
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 1Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 1
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 1
Tanel Poder
 
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2
Tanel Poder
 
SQL in the Hybrid World
SQL in the Hybrid WorldSQL in the Hybrid World
SQL in the Hybrid World
Tanel Poder
 
SQL Monitoring in Oracle Database 12c
SQL Monitoring in Oracle Database 12cSQL Monitoring in Oracle Database 12c
SQL Monitoring in Oracle Database 12c
Tanel Poder
 
Connecting Hadoop and Oracle
Connecting Hadoop and OracleConnecting Hadoop and Oracle
Connecting Hadoop and Oracle
Tanel Poder
 
Essential Linux Commands for DBAs
Essential Linux Commands for DBAsEssential Linux Commands for DBAs
Essential Linux Commands for DBAs
Gokhan Atil
 
A Second Look at Oracle RAC 12c
A Second Look at Oracle RAC 12cA Second Look at Oracle RAC 12c
A Second Look at Oracle RAC 12c
Leighton Nelson
 
Oracle LOB Internals and Performance Tuning
Oracle LOB Internals and Performance TuningOracle LOB Internals and Performance Tuning
Oracle LOB Internals and Performance Tuning
Tanel Poder
 
Oracle Latch and Mutex Contention Troubleshooting
Oracle Latch and Mutex Contention TroubleshootingOracle Latch and Mutex Contention Troubleshooting
Oracle Latch and Mutex Contention Troubleshooting
Tanel Poder
 
Oracle Enterprise Manager Cloud Control 13c for DBAs
Oracle Enterprise Manager Cloud Control 13c for DBAsOracle Enterprise Manager Cloud Control 13c for DBAs
Oracle Enterprise Manager Cloud Control 13c for DBAs
Gokhan Atil
 
Adding real time reporting to your database oracle db in memory
Adding real time reporting to your database oracle db in memoryAdding real time reporting to your database oracle db in memory
Adding real time reporting to your database oracle db in memory
Zohar Elkayam
 
201657_Patra_pdf
201657_Patra_pdf201657_Patra_pdf
201657_Patra_pdflokinisj
 
Hanganalyze presentation
Hanganalyze presentationHanganalyze presentation
Hanganalyze presentation
Leyi (Kamus) Zhang
 
Oracle 12c r1 installation on solaris 11.1
Oracle 12c r1 installation on solaris 11.1Oracle 12c r1 installation on solaris 11.1
Oracle 12c r1 installation on solaris 11.1Laurent Leturgez
 
Applying profilers to my sql (fosdem 2017)
Applying profilers to my sql (fosdem 2017)Applying profilers to my sql (fosdem 2017)
Applying profilers to my sql (fosdem 2017)
Valeriy Kravchuk
 
Ukoug15 SIMD outside and inside Oracle 12c (12.1.0.2)
Ukoug15 SIMD outside and inside Oracle 12c (12.1.0.2)Ukoug15 SIMD outside and inside Oracle 12c (12.1.0.2)
Ukoug15 SIMD outside and inside Oracle 12c (12.1.0.2)
Laurent Leturgez
 
Oracle Database Advanced Querying (2016)
Oracle Database Advanced Querying (2016)Oracle Database Advanced Querying (2016)
Oracle Database Advanced Querying (2016)
Zohar Elkayam
 
Delphix Patching Epiphany
Delphix Patching EpiphanyDelphix Patching Epiphany
Delphix Patching Epiphany
Kellyn Pot'Vin-Gorman
 
Oracle 12c in memory en action
Oracle 12c in memory en actionOracle 12c in memory en action
Oracle 12c in memory en action
Laurent Leturgez
 

Viewers also liked (20)

Oracle Database In-Memory Option in Action
Oracle Database In-Memory Option in ActionOracle Database In-Memory Option in Action
Oracle Database In-Memory Option in Action
 
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 1
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 1Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 1
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 1
 
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2
 
SQL in the Hybrid World
SQL in the Hybrid WorldSQL in the Hybrid World
SQL in the Hybrid World
 
SQL Monitoring in Oracle Database 12c
SQL Monitoring in Oracle Database 12cSQL Monitoring in Oracle Database 12c
SQL Monitoring in Oracle Database 12c
 
Connecting Hadoop and Oracle
Connecting Hadoop and OracleConnecting Hadoop and Oracle
Connecting Hadoop and Oracle
 
Essential Linux Commands for DBAs
Essential Linux Commands for DBAsEssential Linux Commands for DBAs
Essential Linux Commands for DBAs
 
A Second Look at Oracle RAC 12c
A Second Look at Oracle RAC 12cA Second Look at Oracle RAC 12c
A Second Look at Oracle RAC 12c
 
Oracle LOB Internals and Performance Tuning
Oracle LOB Internals and Performance TuningOracle LOB Internals and Performance Tuning
Oracle LOB Internals and Performance Tuning
 
Oracle Latch and Mutex Contention Troubleshooting
Oracle Latch and Mutex Contention TroubleshootingOracle Latch and Mutex Contention Troubleshooting
Oracle Latch and Mutex Contention Troubleshooting
 
Oracle Enterprise Manager Cloud Control 13c for DBAs
Oracle Enterprise Manager Cloud Control 13c for DBAsOracle Enterprise Manager Cloud Control 13c for DBAs
Oracle Enterprise Manager Cloud Control 13c for DBAs
 
Adding real time reporting to your database oracle db in memory
Adding real time reporting to your database oracle db in memoryAdding real time reporting to your database oracle db in memory
Adding real time reporting to your database oracle db in memory
 
201657_Patra_pdf
201657_Patra_pdf201657_Patra_pdf
201657_Patra_pdf
 
Hanganalyze presentation
Hanganalyze presentationHanganalyze presentation
Hanganalyze presentation
 
Oracle 12c r1 installation on solaris 11.1
Oracle 12c r1 installation on solaris 11.1Oracle 12c r1 installation on solaris 11.1
Oracle 12c r1 installation on solaris 11.1
 
Applying profilers to my sql (fosdem 2017)
Applying profilers to my sql (fosdem 2017)Applying profilers to my sql (fosdem 2017)
Applying profilers to my sql (fosdem 2017)
 
Ukoug15 SIMD outside and inside Oracle 12c (12.1.0.2)
Ukoug15 SIMD outside and inside Oracle 12c (12.1.0.2)Ukoug15 SIMD outside and inside Oracle 12c (12.1.0.2)
Ukoug15 SIMD outside and inside Oracle 12c (12.1.0.2)
 
Oracle Database Advanced Querying (2016)
Oracle Database Advanced Querying (2016)Oracle Database Advanced Querying (2016)
Oracle Database Advanced Querying (2016)
 
Delphix Patching Epiphany
Delphix Patching EpiphanyDelphix Patching Epiphany
Delphix Patching Epiphany
 
Oracle 12c in memory en action
Oracle 12c in memory en actionOracle 12c in memory en action
Oracle 12c in memory en action
 

Similar to Modern Linux Performance Tools for Application Troubleshooting

Planning for CRAP and entity revisions in Drupal core
Planning for CRAP and entity revisions in Drupal corePlanning for CRAP and entity revisions in Drupal core
Planning for CRAP and entity revisions in Drupal core
Dick Olsson
 
Systems Performance: Enterprise and the Cloud
Systems Performance: Enterprise and the CloudSystems Performance: Enterprise and the Cloud
Systems Performance: Enterprise and the Cloud
Brendan Gregg
 
Software Engineering in Startups
Software Engineering in StartupsSoftware Engineering in Startups
Software Engineering in Startups
Dusan Omercevic
 
Large Data Analyze With PyTables
Large Data Analyze With PyTablesLarge Data Analyze With PyTables
Large Data Analyze With PyTables
Innfinision Cloud and BigData Solutions
 
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Demi Ben-Ari
 
Silicon Valley Code Camp 2016 - MongoDB in production
Silicon Valley Code Camp 2016 - MongoDB in productionSilicon Valley Code Camp 2016 - MongoDB in production
Silicon Valley Code Camp 2016 - MongoDB in production
Daniel Coupal
 
PyTables
PyTablesPyTables
PyTables
Ali Hallaji
 
Hot to build continuously processing for 24/7 real-time data streaming platform?
Hot to build continuously processing for 24/7 real-time data streaming platform?Hot to build continuously processing for 24/7 real-time data streaming platform?
Hot to build continuously processing for 24/7 real-time data streaming platform?
GetInData
 
Taboola Road To Scale With Apache Spark
Taboola Road To Scale With Apache SparkTaboola Road To Scale With Apache Spark
Taboola Road To Scale With Apache Sparktsliwowicz
 
Multi dimension aggregations using spark and dataframes
Multi dimension aggregations using spark and dataframesMulti dimension aggregations using spark and dataframes
Multi dimension aggregations using spark and dataframes
Romi Kuntsman
 
John adams talk cloudy
John adams   talk cloudyJohn adams   talk cloudy
John adams talk cloudy
John Adams
 
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Demi Ben-Ari
 
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Codemotion
 
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Codemotion
 
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Demi Ben-Ari
 
Hadoop Operations: Keeping the Elephant Running Smoothly
Hadoop Operations: Keeping the Elephant Running SmoothlyHadoop Operations: Keeping the Elephant Running Smoothly
Hadoop Operations: Keeping the Elephant Running Smoothly
Michael Arnold
 
unix_linux_ORATOP_TechDays2016_presentations
unix_linux_ORATOP_TechDays2016_presentationsunix_linux_ORATOP_TechDays2016_presentations
unix_linux_ORATOP_TechDays2016_presentations
garosgaros
 
Taboola's experience with Apache Spark (presentation @ Reversim 2014)
Taboola's experience with Apache Spark (presentation @ Reversim 2014)Taboola's experience with Apache Spark (presentation @ Reversim 2014)
Taboola's experience with Apache Spark (presentation @ Reversim 2014)
tsliwowicz
 

Similar to Modern Linux Performance Tools for Application Troubleshooting (20)

Planning for CRAP and entity revisions in Drupal core
Planning for CRAP and entity revisions in Drupal corePlanning for CRAP and entity revisions in Drupal core
Planning for CRAP and entity revisions in Drupal core
 
Systems Performance: Enterprise and the Cloud
Systems Performance: Enterprise and the CloudSystems Performance: Enterprise and the Cloud
Systems Performance: Enterprise and the Cloud
 
Software Engineering in Startups
Software Engineering in StartupsSoftware Engineering in Startups
Software Engineering in Startups
 
Py tables
Py tablesPy tables
Py tables
 
Large Data Analyze With PyTables
Large Data Analyze With PyTablesLarge Data Analyze With PyTables
Large Data Analyze With PyTables
 
PyTables
PyTablesPyTables
PyTables
 
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Berlin 2017
 
Silicon Valley Code Camp 2016 - MongoDB in production
Silicon Valley Code Camp 2016 - MongoDB in productionSilicon Valley Code Camp 2016 - MongoDB in production
Silicon Valley Code Camp 2016 - MongoDB in production
 
PyTables
PyTablesPyTables
PyTables
 
Hot to build continuously processing for 24/7 real-time data streaming platform?
Hot to build continuously processing for 24/7 real-time data streaming platform?Hot to build continuously processing for 24/7 real-time data streaming platform?
Hot to build continuously processing for 24/7 real-time data streaming platform?
 
Taboola Road To Scale With Apache Spark
Taboola Road To Scale With Apache SparkTaboola Road To Scale With Apache Spark
Taboola Road To Scale With Apache Spark
 
Multi dimension aggregations using spark and dataframes
Multi dimension aggregations using spark and dataframesMulti dimension aggregations using spark and dataframes
Multi dimension aggregations using spark and dataframes
 
John adams talk cloudy
John adams   talk cloudyJohn adams   talk cloudy
John adams talk cloudy
 
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
Monitoring Big Data Systems Done "The Simple Way" - Codemotion Milan 2017 - D...
 
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
Demi Ben-Ari - Monitoring Big Data Systems Done "The Simple Way" - Codemotion...
 
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems Done "The Simple Way" - Demi Ben-Ari - Codemotion...
 
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
Monitoring Big Data Systems "Done the simple way" - Demi Ben-Ari - Codemotion...
 
Hadoop Operations: Keeping the Elephant Running Smoothly
Hadoop Operations: Keeping the Elephant Running SmoothlyHadoop Operations: Keeping the Elephant Running Smoothly
Hadoop Operations: Keeping the Elephant Running Smoothly
 
unix_linux_ORATOP_TechDays2016_presentations
unix_linux_ORATOP_TechDays2016_presentationsunix_linux_ORATOP_TechDays2016_presentations
unix_linux_ORATOP_TechDays2016_presentations
 
Taboola's experience with Apache Spark (presentation @ Reversim 2014)
Taboola's experience with Apache Spark (presentation @ Reversim 2014)Taboola's experience with Apache Spark (presentation @ Reversim 2014)
Taboola's experience with Apache Spark (presentation @ Reversim 2014)
 

Recently uploaded

UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Neo4j
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
sonjaschweigert1
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
Alex Pruden
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
danishmna97
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Kumud Singh
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Vladimir Iglovikov, Ph.D.
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
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
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 

Recently uploaded (20)

UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
 
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptxHow to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AIMind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
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 -...
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 

Modern Linux Performance Tools for Application Troubleshooting