DZone
DECEMBER 28, 2020
The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. Performances testing helps establish the scalability, stability, and speed of the software application. An app is built with some expectations and is supposed to provide firm results.
KeyCDN
FEBRUARY 4, 2021
So DNS services definitely go down! A quick way to fix this is simply by temporarily changing the TTL (time to live) setting for the DNS record, and route your traffic to the second DNS server until the outage is fixed. You can test the DNS lookup time and TTFB with a website speed test tool.
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Alex Podelko
OCTOBER 28, 2016
Sometimes it even lead to conclusions like “performance testing hitting the wall” just because load generation may be a challenge. The script is created in whatever way is appropriate and then either a test harness is created or a load testing tool is used to execute scripts, coordinate their executions, and report and analyze results.
Dynatrace
MAY 28, 2020
Keptn uses SLO definitions to automatically configure Dynatrace or Prometheus alerting rules. Once Dynatrace sees the incoming traffic it will also show up in Dynatrace, under Transaction & Services. The best practices describes how testing tool can add an additional HTTP Header called x-dynatrace-test to each simulated request.
Dynatrace
APRIL 30, 2019
On the left you see the Pitometer spec file with the list of indicator definitions as well as the total scoring objective. At its heart it uses Istio (for traffic control) and Knative (for event driven tool orchestration) and stores all configuration in Git – following the GitOps approach. It takes your artifacts (e.g:
Smashing Magazine
APRIL 19, 2021
Total Blocking Time (TBT) is a good proxy for FID when using a testing tool without any direct user interaction, but also keep an eye on Time to Interactive (TTI) when looking at FID. On the plus side, for the last few days, the mean is actually higher than the p75 value since p75, by definition, filters out the extremes completely.
The Netflix TechBlog
JUNE 14, 2023
We knew we could test the same query with the same inputs and consistently expect the same results. We couldn’t replay test GraphQL queries or mutations that requested non-idempotent fields. And we definitely couldn’t replay test non-functional requirements like caching and logging user interaction. How does it work?
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