
Enzyme
Ava
Jasmine
react-testing-library
Chai
Karma
QUnit
EyeJS
Prometheus
Grafana
Datadog
NewRelic
Zabbix
Splunk
Kubernetes
Dynatrace
Enzyme
PrometheusEnzyme is recommended for developers who are working on React applications and prefer a testing library that provides a more detailed inspection of component internals, or for those maintaining legacy codebases that already rely on Enzyme. If you value testing that emphasizes implementation details, Enzyme can be a good choice.
Based on our record, Prometheus seems to be a lot more popular than Enzyme. While we know about 300 links to Prometheus, we've tracked only 3 mentions of Enzyme. 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.
Enzyme is a widely-used testing utility that provides robust tools for interacting with and inspecting React components. Its API supports shallow, full, and static rendering, enabling developers to test components in isolation or with their child components. Enzyme also allows testing lifecycle methods, making it ideal for applications with complex state and props interactions. - Source: dev.to / over 1 year ago
Like many other companies with mature software, we found ourselves at a crossroads with our React application. The app, initially developed in early 2019, was built with React 16 and used Enzyme for unit testing. Over the past five years, the app grew, evolved, gained new features, and went though minor and major refactorings. Obviously, as responsible engineers we always maintained unit test coverage around... - Source: dev.to / over 1 year ago
React testing library instead of enzyme for testing react UIs. I'll never go back. Source: about 4 years ago
Prometheus scrapes metrics from the stack. Node exporter covers the host, cAdvisor covers containers, and individual services expose their own endpoints where supported. The main value isn't dashboards (though those exist) - it's having a queryable record of system state over time, and a place to hook alerts when something drifts. - Source: dev.to / 18 days ago
Prometheus is the industry-standard time-series database for infrastructure metrics. Paired with Grafana for visualization and Alertmanager for routing, it forms the backbone of monitoring at companies from startups to Netflix-scale deployments. This isn't a single tool โ it's an ecosystem. - Source: dev.to / 26 days ago
To monitor and analyze rate limiting metrics, we're using a combination of Redis and Prometheus. We're storing rate limiting metrics in Redis and then using Prometheus to scrape the metrics and display them in a dashboard. Here's an example of how we're storing rate limiting metrics in Redis:. - Source: dev.to / about 1 month ago
In this post, we compare two forecasting models, Chronos (ChronosโBolt) and Toto, on telemetry from Prometheus and OpenSearch. We judge them with two easy metrics: MASE for point accuracy and CRPS for the quality of uncertainty. - Source: dev.to / about 1 month ago
For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 2 months ago
Ava - Making conversations accessible for the deaf
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Jasmine - Behavior-Driven JavaScript
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.
react-testing-library - [`React Testing Library`][gh] builds on top of `DOM Testing Library` by adding
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.