PAC 2020 Santorin - Joerek Van Gaalen

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Neotys

Extreme Performance Testing

Engineering

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Introduction
• Joerek van Gaalen
• Performance specialist since 2005
• Experience with many large scaled performance tests

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
2 Million Vuser test

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
How to simulate so many
virtual users?

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Neotys
Neoload
800 load
generators
Every instance local
DNS server
Different (cloud)
providers

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Challenges
• Not being the bottleneck yourself
• Being able to simulate the users / load realistic

P E R F O R M A N C E A D V I S O R Y C O U N C I L
Optimise your tests

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Tune your script
• Goal is to minimise resources
• Use strict regular expressions without many wildcards
• Do not store previous response
• Reconsider assertion when you already have a variable extractor

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Tune your controller
• Consider creating your own variable manager outside the controller
• Avoid using live status updates of virtual users
• Consider more aggregation of data
• Limit stored number of errors per second
• Use linear increase of users rather then big steps

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Tune your agent
• Run stress test with single agent and verify its limits
• Approx 3000 Vusers per agent is usually good
• Tune the kernel (open file descriptors, TCP settings)
• Tune Xmx vs real memory

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Use a lot cloud instances
• Ideally use many different cloud providers (AWS, DigitalOcean, Google,
Azure)
• Use vendor provided cloud load generators
• AWS is ideal, you can start hundreds in a few clicks
• c5 instance is usually a good choice, but know if the test is CPU, Memory
or Bandwidth heavy

P E R F O R M A N C E A D V I S O R Y C O U N C I L
Making your tests realistic

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Mimic production usage
• Try to do it in perfection

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
DNS Load balancing
• Lower DNS Cache timeout to 1 second
• Install local DNS Server per agent and override TTL
• Use open DNS Server with different geographical locations
• Balance in hostnames in your scripts

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Agent spread
• Geographical spread
• Different providers and peering

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Scripts
• Do not exclude your CDN objects. They can face quotas or limits

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Streaming services
• For streaming services, balance between available bandwidth and used
bitrates
• Or maximise the size of your video segment size
Range: bytes=0-102400

P E R F O R M A N C E A D V I S O R Y C O U N C I L
Specific heavy load performance issues

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
CDN performance issues
• Quotas & Limits reached
• Too much load against your origins
• Edge servers cannot handle the load

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
CDN performance issues
Many egde nodes can
stress the origin Many stream files can stress the origin
or bad caching
/index.m3u8?time=1582235622351

P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
CDN performance issues
• Not much geographical user spread
• 3rd party services can stress
a single edge node
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P E R F O R M A N C E A D V I S O R Y C O U N C I L
byP E R F O R M A N C E A D V I S O R Y C O U N C I L
Joerek van Gaalen
jvangaalen@breakingit.nl

What's hot

Without continuous testing there is no continuous delivery. Everyone in DevOps talks about continuous integration and continuous delivery but those are just two ends of the DevOps pipeline. In the middle of DevOpsis continuous testing (CT), and many organizations are struggling to implement continuous testing effectively. Lab-As-A- Service (LaaS) enhances CT with dynamic on-demand self-serve test topologies. CT together with LAAS make a powerful combination that perfectly serves complex software development and delivery pipelines. Software Defined Networks (SDNs) turn the network into a flexible configurable system of software components and connections which is powerful but presents new complexities and challenges for network software development, delivery and deployments. This talk explains how DevOps best practices for continuous testing when combined with LaaS are make an excellent combination to accelerate SDN realization and operations. The talk describes people, process and products required for SDN continuous testing and online self-service continuous lab and testing services.

DevOps Continuous Testing and LaaS – The Perfect Match for SDN

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The FDA is advising use of data standards as early as possible in the study lifecycle. As a result, Data Management centers are using the Study Data Tabulation Model (SDTM) to drive operations from First Patient In till Database Lock. Many tools on the market allow for the creation of SDTM datasets via intuitive user interfaces. However, targeted tools are needed to manage nightly jobs taking care of data source downloads (eCRF, ePRO, Lab, etc), data uploads in a staging database, converting to SDTM and running edit checks before the Clinical Data Manager arrives in the morning.

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These are the slides of my JavaOne presentation. The abstract goes like this: How do companies developing business-critical Java enterprise Web applications increase releases from 40 to 300 per year and still remain confident about a spike of 1,800 percent in traffic during key events such as Super Bowl Sunday or Cyber Monday? It takes a fundamental change in culture. Although DevOps is often seen as a mechanism for taming the chaos, adopting an agile methodology across all teams is only the first step. This session explores best practices for continuous delivery with higher quality for improving collaboration between teams by consolidating tools and for reducing overhead to fix issues. It shows how to build a performance-focused culture with tools such as Hudson, Jenkins, Chef, Puppet, Selenium, and Compuware APM/dynaTrace

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5. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Neotys Neoload 800 load generators Every instance local DNS server Different (cloud) providers

6. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Challenges • Not being the bottleneck yourself • Being able to simulate the users / load realistic

7. P E R F O R M A N C E A D V I S O R Y C O U N C I L Optimise your tests

8. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Tune your script • Goal is to minimise resources • Use strict regular expressions without many wildcards • Do not store previous response • Reconsider assertion when you already have a variable extractor

9. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Tune your controller • Consider creating your own variable manager outside the controller • Avoid using live status updates of virtual users • Consider more aggregation of data • Limit stored number of errors per second • Use linear increase of users rather then big steps

10. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Tune your agent • Run stress test with single agent and verify its limits • Approx 3000 Vusers per agent is usually good • Tune the kernel (open file descriptors, TCP settings) • Tune Xmx vs real memory

11. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Use a lot cloud instances • Ideally use many different cloud providers (AWS, DigitalOcean, Google, Azure) • Use vendor provided cloud load generators • AWS is ideal, you can start hundreds in a few clicks • c5 instance is usually a good choice, but know if the test is CPU, Memory or Bandwidth heavy

12. P E R F O R M A N C E A D V I S O R Y C O U N C I L Making your tests realistic

13. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Mimic production usage • Try to do it in perfection

14. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L DNS Load balancing • Lower DNS Cache timeout to 1 second • Install local DNS Server per agent and override TTL • Use open DNS Server with different geographical locations • Balance in hostnames in your scripts

15. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Agent spread • Geographical spread • Different providers and peering

16. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Scripts • Do not exclude your CDN objects. They can face quotas or limits

17. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Streaming services • For streaming services, balance between available bandwidth and used bitrates • Or maximise the size of your video segment size Range: bytes=0-102400

18. P E R F O R M A N C E A D V I S O R Y C O U N C I L Specific heavy load performance issues

19. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L CDN performance issues • Quotas & Limits reached • Too much load against your origins • Edge servers cannot handle the load

20. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L CDN performance issues Many egde nodes can stress the origin Many stream files can stress the origin or bad caching /index.m3u8?time=1582235622351

21. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L CDN performance issues • Not much geographical user spread • 3rd party services can stress a single edge node ? ? ? ? ?? ? ? ? ? ? ? ?

22. P E R F O R M A N C E A D V I S O R Y C O U N C I L byP E R F O R M A N C E A D V I S O R Y C O U N C I L Joerek van Gaalen jvangaalen@breakingit.nl

PAC 2020 Santorin - Joerek Van Gaalen

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