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2nd version
Streaming benchmark
Streaming benchmark
Vinaya M S
Web Services 8
Web Services 8
pradeepfdo
How often should you launch your test suites in order to find bugs fast at little cost? What is the optimal launch schedule?
Optimal Usage of the Computer Farm for Regression Testing
Optimal Usage of the Computer Farm for Regression Testing
Daniel Hansson
I have Reaver 1.4 on Ubuntu 14.10 with a Realtek RTL8187SE B/G adapter and it takes almost 5-10 minutes to get from 0.01% to 0.02%. I always have my TX-Power at 30 when I use Reaver, the network is strong, and I run Airodump-ng with Reaver so I can see if I can still catch the network, and it always has lots of Beacons and "#Data" so it couldn't be that the network is weak. How can I fix this?
I have Reaver 1.4 on Ubuntu 14.10 with a Realtek RTL8187SE B/G adapter and it...
I have Reaver 1.4 on Ubuntu 14.10 with a Realtek RTL8187SE B/G adapter and it...
hwbloom410000
Nimesulide transdermal gel was statistically more significant in reducing the mean scores of pain intensity
Nimesulide gel system for topical use
Nimesulide gel system for topical use
sonucro
It has superior gastrointestinal safety as compared to other NSAIDs. It is an analgesic and antipyretic in action, other than its anti inflammatory action.
Nimesulide Mechanism of action
Nimesulide Mechanism of action
sonucro
it’s indicated as second line treatment for acute pain, symptomatic treatment of painful degenerative joint disease and first dysmenorrhoea.
Nimesulide tablet chemical formula
Nimesulide tablet chemical formula
sonucro
GovCC2016 brohcure-WEB10
GovCC2016 brohcure-WEB10
Sophia Harris
Recommandé
2nd version
Streaming benchmark
Streaming benchmark
Vinaya M S
Web Services 8
Web Services 8
pradeepfdo
How often should you launch your test suites in order to find bugs fast at little cost? What is the optimal launch schedule?
Optimal Usage of the Computer Farm for Regression Testing
Optimal Usage of the Computer Farm for Regression Testing
Daniel Hansson
I have Reaver 1.4 on Ubuntu 14.10 with a Realtek RTL8187SE B/G adapter and it takes almost 5-10 minutes to get from 0.01% to 0.02%. I always have my TX-Power at 30 when I use Reaver, the network is strong, and I run Airodump-ng with Reaver so I can see if I can still catch the network, and it always has lots of Beacons and "#Data" so it couldn't be that the network is weak. How can I fix this?
I have Reaver 1.4 on Ubuntu 14.10 with a Realtek RTL8187SE B/G adapter and it...
I have Reaver 1.4 on Ubuntu 14.10 with a Realtek RTL8187SE B/G adapter and it...
hwbloom410000
Nimesulide transdermal gel was statistically more significant in reducing the mean scores of pain intensity
Nimesulide gel system for topical use
Nimesulide gel system for topical use
sonucro
It has superior gastrointestinal safety as compared to other NSAIDs. It is an analgesic and antipyretic in action, other than its anti inflammatory action.
Nimesulide Mechanism of action
Nimesulide Mechanism of action
sonucro
it’s indicated as second line treatment for acute pain, symptomatic treatment of painful degenerative joint disease and first dysmenorrhoea.
Nimesulide tablet chemical formula
Nimesulide tablet chemical formula
sonucro
GovCC2016 brohcure-WEB10
GovCC2016 brohcure-WEB10
Sophia Harris
Microbenchmarks are like a microscope. Magnification is high, but what the heck are you looking at? Like "truths, half-truths, and statistics", microbenchmarks can be very misleading. In this presentation, learn how to tell when a benchmark lies, recognize what a benchmark can really tell you and understand how some popular benchmarks are flawed.
How NOT to Write a Microbenchmark
How NOT to Write a Microbenchmark
Azul Systems Inc.
Scaling Apache Storm: Cluster Sizing and Performance Optimization Slides from my presentation at Strata + Hadoop World 2014
Scaling Apache Storm - Strata + Hadoop World 2014
Scaling Apache Storm - Strata + Hadoop World 2014
P. Taylor Goetz
SDN operators need to measure the performance of OF HW switch on their site. Cause there is 1000 times differences in latency, depends on the specified flow entry. ASIC can forward in several μsecs but the software (CPU) may take msec. To protect yourself from unexpected performance plunge, monitor your switches healthiness on your site.
FPGA based 10G Performance Tester for HW OpenFlow Switch
FPGA based 10G Performance Tester for HW OpenFlow Switch
Yutaka Yasuda
Java Day 2021, WeAreDevelopers, 2021-09-01, online: Moritz Kammerer (@Moritz Kammerer, Expert Software Engineer at QAware). == Please download slides in case they are blurred! === In this talk, we took a look at how Microservices can be developed with Micronaut. Have a look if it has kept its promises.
Microservices with Micronaut
Microservices with Micronaut
QAware GmbH
Bernhard Hopfenmüller, Senior IT Consultant @ ATIX AG
How to tune Kafka® for production
How to tune Kafka® for production
confluent
JCON Online 2021, International Java Community Conference, 07.10.21, Moritz Kammerer (@Moritz Kammerer, Expert Software Engineer at QAware). == Please download slides in case they are blurred! === In his talk we have had a look at how Microservices can be developed with Micronaut. In our slides you can find out if it kept its promise.
Microservices with Micronaut
Microservices with Micronaut
QAware GmbH
SIGMOD presentation by the Cassandra team
Data Presentations Cassandra Sigmod
Data Presentations Cassandra Sigmod
Jeff Hammerbacher
The native app development environments support multiple threads. Titanium however does not (out of the box), it only supports a single thread. In this presentaton, Ronald Treur will shortly explain how threading works and why this knowledge matters. But more important, he will show you how to keep heavy duty processes from blocking others.
Titanium - Making the most of your single thread
Titanium - Making the most of your single thread
Ronald Treur
After reading the topic you are probably asking yourself: “Why I’ve never heard about Cassandra Streams?”. The reason is because Cassandra didn’t have any streams support. Until now. The project started as a preparation to multi regional deployment, so we needed to test Cassandra and answer several simple questions: · what will be the replication lag, or how long will it take for each mutation to propagate? · will we be losing any mutation? · will we see any additional load and/or other problems? · and zillions of other questions To answer them, we decided to integrate Cassandra with Amazon Kinesis, so we can track any individual mutation and analyze replication stats. That is how our Cassandra Streams integration was born. Currently it supports several stream platforms, like Kinesis and Kafka. During this talk you will learn how we did it, how we used it to test Cassandra in Multi-regional setup and what are other possible applications of this concept. About the Speaker Dustin Pham, Sony Dustin is part of the small team who built the core infrastructure which delivered the PlayStation 3 store and then subsequently core services for the PlayStation 4. He has been with Sony for over 4 years and continues to focus on providing entertainment experiences to Sony customers. Dustin is an avid gamer and finds enjoyment in solving large scale problems.
PlayStation and Cassandra Streams (Alexander Filipchik & Dustin Pham, Sony) |...
PlayStation and Cassandra Streams (Alexander Filipchik & Dustin Pham, Sony) |...
DataStax
This presentation includes the brief introduction on developing Counter and Time delay routine
Delay routine
Delay routine
Yash Gandhi
Analyzing and Interpreting AWR Report
Analyzing and Interpreting AWR
Analyzing and Interpreting AWR
pasalapudi
In this talk I will walk you through the performance tuning steps that I took to serve 1.2M JSON requests per second from a 4 vCPU c5 instance, using a simple API server written in C. At the start of the journey the server is capable of a very respectable 224k req/s with the default configuration. Along the way I made extensive use of tools like FlameGraph and bpftrace to measure, analyze, and optimize the entire stack, from the application framework, to the network driver, all the way down to the kernel. I began this wild adventure without any prior low-level performance optimization experience; but once I started going down the performance tuning rabbit-hole, there was no turning back. Fueled by my curiosity, willingness to learn, and relentless persistence, I was able to boost performance by over 400% and reduce p99 latency by almost 80%.
Extreme HTTP Performance Tuning: 1.2M API req/s on a 4 vCPU EC2 Instance
Extreme HTTP Performance Tuning: 1.2M API req/s on a 4 vCPU EC2 Instance
ScyllaDB
I presented a whirlwind tour of the most common benchmark tools used to measure parallel file system performance and reviewed case studies of how these have been used in the procurement of NERSC's large file systems at the 2022 Lustre User Group.
Understanding and Measuring I/O Performance
Understanding and Measuring I/O Performance
Glenn K. Lockwood
Fluent (CFD software) tips and tricks
2004 ugm-tips-tricks
2004 ugm-tips-tricks
Shamoon Jamshed
TCLSH and Macro Ping Test on Cisco Routers and Switches
TCLSH and Macro Ping Test on Cisco Routers and Switches
TCLSH and Macro Ping Test on Cisco Routers and Switches
NetProtocol Xpert
t
Data race
Data race
James Wong
Describes how to estimate number of thread and number of instance of Web Application Server in J2EE World.
Planning Number Of Instance And Thread In Web Application Server
Planning Number Of Instance And Thread In Web Application Server
Terry Cho
Gatling is Open Source Stress testing tool. Why Gatling: - High Performance. - Multi Threading vs (Akka) Actor Model. - Synchronous Blocking IOs vs asynchronous Non-blocking IOs Netty.
Gatling
Gatling
Swapnil Kotwal
JavaOne presentation of Writing and Testing High Frequency Trading Engines in Java. Talk looks at low latency trading, thread affinity, lock free code, ultra low garbage and low latency persistence and IPC.
Writing and testing high frequency trading engines in java
Writing and testing high frequency trading engines in java
Peter Lawrey
LINE is a messaging service with 200+ million active users. I will introduce why we feed 100+ billion daily messages into Kafka and how various systems such as data sync, abuse detection and analysis are depending on and leveraging it. It will be also introduced how we leverage dynamic tracing tools like SystemTap to inspect broker’s performance on production system, which led me to fix KAFKA-4614. Presented by Yuto Kawamura, LINE Corporation Systems Track
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
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Contenu connexe
Similaire à Streaming Benchmark
Microbenchmarks are like a microscope. Magnification is high, but what the heck are you looking at? Like "truths, half-truths, and statistics", microbenchmarks can be very misleading. In this presentation, learn how to tell when a benchmark lies, recognize what a benchmark can really tell you and understand how some popular benchmarks are flawed.
How NOT to Write a Microbenchmark
How NOT to Write a Microbenchmark
Azul Systems Inc.
Scaling Apache Storm: Cluster Sizing and Performance Optimization Slides from my presentation at Strata + Hadoop World 2014
Scaling Apache Storm - Strata + Hadoop World 2014
Scaling Apache Storm - Strata + Hadoop World 2014
P. Taylor Goetz
SDN operators need to measure the performance of OF HW switch on their site. Cause there is 1000 times differences in latency, depends on the specified flow entry. ASIC can forward in several μsecs but the software (CPU) may take msec. To protect yourself from unexpected performance plunge, monitor your switches healthiness on your site.
FPGA based 10G Performance Tester for HW OpenFlow Switch
FPGA based 10G Performance Tester for HW OpenFlow Switch
Yutaka Yasuda
Java Day 2021, WeAreDevelopers, 2021-09-01, online: Moritz Kammerer (@Moritz Kammerer, Expert Software Engineer at QAware). == Please download slides in case they are blurred! === In this talk, we took a look at how Microservices can be developed with Micronaut. Have a look if it has kept its promises.
Microservices with Micronaut
Microservices with Micronaut
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Bernhard Hopfenmüller, Senior IT Consultant @ ATIX AG
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How to tune Kafka® for production
confluent
JCON Online 2021, International Java Community Conference, 07.10.21, Moritz Kammerer (@Moritz Kammerer, Expert Software Engineer at QAware). == Please download slides in case they are blurred! === In his talk we have had a look at how Microservices can be developed with Micronaut. In our slides you can find out if it kept its promise.
Microservices with Micronaut
Microservices with Micronaut
QAware GmbH
SIGMOD presentation by the Cassandra team
Data Presentations Cassandra Sigmod
Data Presentations Cassandra Sigmod
Jeff Hammerbacher
The native app development environments support multiple threads. Titanium however does not (out of the box), it only supports a single thread. In this presentaton, Ronald Treur will shortly explain how threading works and why this knowledge matters. But more important, he will show you how to keep heavy duty processes from blocking others.
Titanium - Making the most of your single thread
Titanium - Making the most of your single thread
Ronald Treur
After reading the topic you are probably asking yourself: “Why I’ve never heard about Cassandra Streams?”. The reason is because Cassandra didn’t have any streams support. Until now. The project started as a preparation to multi regional deployment, so we needed to test Cassandra and answer several simple questions: · what will be the replication lag, or how long will it take for each mutation to propagate? · will we be losing any mutation? · will we see any additional load and/or other problems? · and zillions of other questions To answer them, we decided to integrate Cassandra with Amazon Kinesis, so we can track any individual mutation and analyze replication stats. That is how our Cassandra Streams integration was born. Currently it supports several stream platforms, like Kinesis and Kafka. During this talk you will learn how we did it, how we used it to test Cassandra in Multi-regional setup and what are other possible applications of this concept. About the Speaker Dustin Pham, Sony Dustin is part of the small team who built the core infrastructure which delivered the PlayStation 3 store and then subsequently core services for the PlayStation 4. He has been with Sony for over 4 years and continues to focus on providing entertainment experiences to Sony customers. Dustin is an avid gamer and finds enjoyment in solving large scale problems.
PlayStation and Cassandra Streams (Alexander Filipchik & Dustin Pham, Sony) |...
PlayStation and Cassandra Streams (Alexander Filipchik & Dustin Pham, Sony) |...
DataStax
This presentation includes the brief introduction on developing Counter and Time delay routine
Delay routine
Delay routine
Yash Gandhi
Analyzing and Interpreting AWR Report
Analyzing and Interpreting AWR
Analyzing and Interpreting AWR
pasalapudi
In this talk I will walk you through the performance tuning steps that I took to serve 1.2M JSON requests per second from a 4 vCPU c5 instance, using a simple API server written in C. At the start of the journey the server is capable of a very respectable 224k req/s with the default configuration. Along the way I made extensive use of tools like FlameGraph and bpftrace to measure, analyze, and optimize the entire stack, from the application framework, to the network driver, all the way down to the kernel. I began this wild adventure without any prior low-level performance optimization experience; but once I started going down the performance tuning rabbit-hole, there was no turning back. Fueled by my curiosity, willingness to learn, and relentless persistence, I was able to boost performance by over 400% and reduce p99 latency by almost 80%.
Extreme HTTP Performance Tuning: 1.2M API req/s on a 4 vCPU EC2 Instance
Extreme HTTP Performance Tuning: 1.2M API req/s on a 4 vCPU EC2 Instance
ScyllaDB
I presented a whirlwind tour of the most common benchmark tools used to measure parallel file system performance and reviewed case studies of how these have been used in the procurement of NERSC's large file systems at the 2022 Lustre User Group.
Understanding and Measuring I/O Performance
Understanding and Measuring I/O Performance
Glenn K. Lockwood
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2004 ugm-tips-tricks
2004 ugm-tips-tricks
Shamoon Jamshed
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TCLSH and Macro Ping Test on Cisco Routers and Switches
TCLSH and Macro Ping Test on Cisco Routers and Switches
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t
Data race
Data race
James Wong
Describes how to estimate number of thread and number of instance of Web Application Server in J2EE World.
Planning Number Of Instance And Thread In Web Application Server
Planning Number Of Instance And Thread In Web Application Server
Terry Cho
Gatling is Open Source Stress testing tool. Why Gatling: - High Performance. - Multi Threading vs (Akka) Actor Model. - Synchronous Blocking IOs vs asynchronous Non-blocking IOs Netty.
Gatling
Gatling
Swapnil Kotwal
JavaOne presentation of Writing and Testing High Frequency Trading Engines in Java. Talk looks at low latency trading, thread affinity, lock free code, ultra low garbage and low latency persistence and IPC.
Writing and testing high frequency trading engines in java
Writing and testing high frequency trading engines in java
Peter Lawrey
LINE is a messaging service with 200+ million active users. I will introduce why we feed 100+ billion daily messages into Kafka and how various systems such as data sync, abuse detection and analysis are depending on and leveraging it. It will be also introduced how we leverage dynamic tracing tools like SystemTap to inspect broker’s performance on production system, which led me to fix KAFKA-4614. Presented by Yuto Kawamura, LINE Corporation Systems Track
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 ...
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How NOT to Write a Microbenchmark
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Scaling Apache Storm - Strata + Hadoop World 2014
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FPGA based 10G Performance Tester for HW OpenFlow Switch
Microservices with Micronaut
Microservices with Micronaut
How to tune Kafka® for production
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Microservices with Micronaut
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Data Presentations Cassandra Sigmod
Titanium - Making the most of your single thread
Titanium - Making the most of your single thread
PlayStation and Cassandra Streams (Alexander Filipchik & Dustin Pham, Sony) |...
PlayStation and Cassandra Streams (Alexander Filipchik & Dustin Pham, Sony) |...
Delay routine
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Analyzing and Interpreting AWR
Extreme HTTP Performance Tuning: 1.2M API req/s on a 4 vCPU EC2 Instance
Extreme HTTP Performance Tuning: 1.2M API req/s on a 4 vCPU EC2 Instance
Understanding and Measuring I/O Performance
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2004 ugm-tips-tricks
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TCLSH and Macro Ping Test on Cisco Routers and Switches
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Planning Number Of Instance And Thread In Web Application Server
Gatling
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Writing and testing high frequency trading engines in java
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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 ...
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Streaming Benchmark
1.
Streaming Benchmark Vinaya M S Insight Data Science
2.
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3.
How many tweets are processed/second? Insert read_ts Insert write_ts 100 tweets/second Subset of 100 tweets/second
4.
Latency: ∑ (𝑤𝑟𝑖𝑡𝑒() −
𝑟𝑒𝑎𝑑())./0102 34./056786 / total_tweets_processed winStart: window start time; winEnd: window End time
5.
RESULTS
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7.
8.
What about storm?
9.
10.
11.
• Total number of tweets processed in storm are more. •~41000 in 160sec (Flink: ~18500 in 160sec) •Noticed low throughput and high latency in storm. •This is not true always. Performance tuning is required.
12.
Few tunings I considered §Number of compute bolts §Consumer bolts. §Java heap size. Plays an important role §Tried 2 of the groupings.
13.
About Me 3 years experience MS, Computer Science Enjoy: Table Tennis Cooking
14.
Thank you 😊
15.
Storm:
16.
Flink: Each task slot in task manager can run one pipeline of parallel task.
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