logit.io
Datadog
OpenStudio
CXGuardian
AppOptics
Plumbr
Zabbix
Papertrail
locust
Apache JMeter
Loader.io
gatling.io
k6 Cloud
Simple Analytics
LinkTiger
Google Marketing Platform
Centralise logs, metrics and traces into a single platform for observability with Logit.io. The Logit.io platform provides complete data reporting, monitoring and alerting by harnessing the best open source tools including ELK, OpenSearch, Prometheus & Grafana.
As the Logit.io platform operates in compliance with GDPR, HIPAA, SOC 2 and is ISO 27001 & PCI Service Provider certified, you can rest assured that we uphold the best security standards possible to protect our user’s data and information security interests. The platform can also be used to meet compliance with the Cybersecurity Maturity Model certification for the following ID numbers AU.2.041, AU.2.042, AU.2.044, AU.3.045, AU.3.046, AU.3.048, AU.3.049, AU.3.050, AU.3.051 and AU.3.052.
In addition to this, our platform can also be used to detect and mitigate issues such as Log4Shell CVE-2021-44228.
Whether you need to conduct application performance monitoring, log management, infrastructure monitoring, SIEM, or data visualisation, the Logit.io platform is here to provide a complete platform for data management and analysis.
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Based on our record, locust seems to be more popular. It has been mentiond 56 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.
This week at work I was tasked with continuing some load testing that a previous Engineer had started. They had used locust which is an open source load testing tool to run the initial load testing on the staging environment. I now needed to do the same for production so I followed in their footsteps. - Source: dev.to / 2 days ago
Finally, let's compare the response time of the requests. For that, we will use Locust , an open source load testing tool. The tests will run for 5 minutes, and will increase 4 requests per second every second until they reach 1000 requests per second. - Source: dev.to / 3 months ago
Locust: Another open-source tool, Locust is particularly flexible due to its support for Python scripts. It can conduct load tests across multiple machines, making it possible to simulate millions of users simultaneously. An exceptional feature of Locust is its web-based UI, which allows real-time tracking of performance metrics during test execution. - Source: dev.to / 3 months ago
Locust is a perfect tool to use on such occasion:. - Source: dev.to / 3 months ago
So, in theory, we can handle 300 requests per minute on a single server which was the assumption we started with. After this, I decided to play with this configuration and see what we could achieve. But, to go ahead I need a system to measure the metrics of our load testing. So I quickly set up Locust on my system. Locust is an open-source easy to setup load-testing framework. - Source: dev.to / 3 months ago
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Apache JMeter - Apache JMeter™.
OpenStudio - OpenStudio is a platform that offers business management tools to users to save their time and money in performing certain tasks.
Loader.io - Loader.io is a simple cloud-based load testing service
CXGuardian - CXGuardian is a platform powered by QualityKiosk Technologies and allows users to monitor their mobile and web-based applications’ performance.
gatling.io - Gatling is an open-source load testing framework based on Scala, Akka and Netty