
locust
Apache JMeter
Loader.io
AT Internet
Simple Analytics
Google Marketing Platform
Waistra Analytics
Low Orbit Ion Cannon
LaunchDarkly
ConfigCat
Optimizely
Flagsmith
Unleash
Split.io
PractiTest
Google Marketing Platform
LaunchDarklyBased on our record, locust should be more popular than LaunchDarkly. It has been mentiond 65 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Regularly review your cluster's utilization to check whether it's still suitable for your workloads. Test autoscaling rules by using a load-testing tool like Locust to direct excess traffic to your cluster. This lets you spot problems earlier, ensuring your Pods will scale seamlessly when real traffic arrives. - Source: dev.to / 9 months ago
Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress. - Source: dev.to / 10 months ago
But you donโt have to operate at Netflixโs scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and alerting respond to the increased load. Tools like Grafanaโs k6 and Locust can simulate thousands of requests per second, while synthetic log generators mimic bursty error scenarios. - Source: dev.to / about 1 year ago
I mean honestly - the "classic" Apache model of throwing things into the www root is very strong for rapid development. Hot code reloading is sometimes finicky, you can end up with unexpected hidden state and lose sanity over a stupid heisenbug. Trust me. IMO you don't need to compensate for bad configs if you're using a proper staging environment and push-button deployments (which is good practice regardless of... - Source: Hacker News / about 1 year ago
Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / about 1 year ago
This is a realistic scenario, because Claude, ChatGPT, and Gemini all recommend LaunchDarkly. But when you ask these questions of your agent, the response comes from a single model that was asked just once. Itโs subject to the same training bias and nondeterminism as any prompt. In my research, the tool recommendations can vary considerably. - Source: dev.to / 22 days ago
One common runtime control is a feature flag, which is a configurable switch that changes application behavior without requiring a redeploy. In ML systems, feature flags can be used to route users between model versions, limit exposure to selected cohorts, or revert quickly to a known-safe model when problems appear. Tools such as LaunchDarkly provide this kind of runtime control. - Source: dev.to / about 2 months ago
This kind of goes without saying since it's the opposite of the first don't I listed, but it's worth restating and giving some examples. Using tools from third parties means taking advantage of what they have done so you don't have to do that work. This means you are free to build things that make your app special. I like to use feature flag tools for this. Some examples are LaunchDarkly, Split, and AWS App... - Source: dev.to / about 2 years ago
Taplytics is a broad A/B testing platform for marketing teams. While DevCycle is a feature flagging tool built for developers. Taplytics actually has feature flagging, but DevCycle is much more focused and plans to compete directly with incumbents like LaunchDarkly by building a better developer experience (more on how later). But with Taplytics they built so many features and every customer was using them in a... - Source: dev.to / over 2 years ago
I had a custom rule added to Little Snitch that blocked the following domains: launchdarkly.com, clientstream.launchdarkly.com, mobile.launchdarkly.com. Source: over 2 years ago
Apache JMeter - Apache JMeterโข.
ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.
Loader.io - Loader.io is a simple cloud-based load testing service
Optimizely - A/B testing you'll actually use.
AT Internet - Transform your data into action with our powerful and flexible digital analytics solution.
Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.