Logz.io Reviews

gatling.io Reviews

Logz.io mentions (26)

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Logz.io — Free up to 1 GB/day, one day retention. - Source: dev.to / 4 months ago

• 10 Best performance monitoring tools

  Logz.io is like a cloud-based control center for your applications, systems, and infrastructure. It keenly observes their performance and health and provides you with any required insights that will help with the smooth running of your digital platform. With its log management, metrics analysis, and distributed tracing capabilities, Logz.io is one of the best performance monitoring tools to ensure your tech stack... - Source: dev.to / 6 months ago

• What strategy to go with in order to save data logs in DB tables?

  You better use a logs tool like logz.io or something, Don't re-invent the wheel. Source: about 1 year ago

• Log Retention "SIEM" to complement Huntress

  However, if you don't have the resources to manage something, solutions like the one above can get VERY expensive and even managed purpose built solutions like https://logz.io/ can get pricy. I think logz.io is the closest you will get to a no frills log storage platform. Source: about 1 year ago

• Top 11 Splunk Alternatives that you may consider in 2023

  Logz.io is an observability and security monitoring tool that provides cloud-based log analytics targeted at data security and minimizing the need for capacity management. - Source: dev.to / over 1 year ago

gatling.io mentions (19)

• What is Load Testing? Complete Tutorial With Best Practices

  Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze. - Source: dev.to / 3 months ago

• Best Practices in Testing GraphQL APIs

  Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue. - Source: dev.to / 12 months ago

• Perf/web testing framework similar to locust/gatling for .NET?

  New to the .NET community and trying to learn! I have used tools such as Apache JMeter (Java), gatling.io (Java) and Locust (Python) that are decent full featured web perf frameworks. Typically these integrate well with your code, and can be run as part of your unit/integration tests and produce offline reports. Source: over 1 year ago

• How can I do a simple load test for an API I'm developing?

  Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. But the tool is solid. Source: over 1 year ago

• Optimizing Decision Making with a Trie Tree-Based Rules Engine: An Experience Report

  I used SpringBoot 3.0.2, GraalVM 22 (JVM mode), a MacOS 2,6 GHz 6-Core Intel Core i7, running 1000 users for 5 minutes. The idea was to test how memory consumption and CPU usage evolve. Below, I compared the footprint of these three solutions. I collected the total count of requests, throughput, memory consumption, and CPU usage using VisualVM and Gatling. - Source: dev.to / over 1 year ago