What Should I Consider When Testing in the Public Cloud?

Update: 2018-09-05

Description

The move from monolithic applications in the private data-center to micro-services in public or even private clouds brings with it a whole new set of considerations when testing. Brian Wilson (@emperorwilson) and special guest Andi Grabner (@grabnerandi) discuss new approaches in testing and monitoring in the cloud as well as a few special considerations you might want to consider when setting up those tests.

Comments

In Channel

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2020-08-1001:04:12

When should I incorporate browser based tests in my load test?

2020-07-0201:02:55

How can varnish and squid cache be helpful?

2020-05-1846:00

How can caching improve performance and how do I test it?

2020-04-2055:58

In the context of SAFe, where does the responsibility of performance, reliability, scalability lie?

2020-03-2356:30

What is the difference between think and pacing?

2019-10-0938:25

What do I need to consider when testing applications on Kubernetes?

2019-09-1151:50

Does including think time impact the test results for analysis purposes?

2019-08-1245:39

What is standard deviation, and why is that important in performance testing?

2019-07-0346:19

How do I retrain my Service Virtualization?

2019-06-0531:37

How can I size a physical environment from a cloud elastic instance?

2019-05-0130:16

How do we write meaningful user stories and acceptance criteria for performance testing?

2019-04-0337:33

How can I leverage production information captured by my APM tool in my load tests?