
Prometheus
Grafana
Datadog
NewRelic
Zabbix
Splunk
Kubernetes
Dynatrace
LogRocket
Hotjar
FullStory
Sentry.io
Smartlook
Inspectlet
Dynatrace
Rollbar
Prometheus
LogRocketBased on our record, Prometheus seems to be a lot more popular than LogRocket. While we know about 300 links to Prometheus, we've tracked only 21 mentions of LogRocket. 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.
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 / about 1 month 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 / about 1 month 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 2 months 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 2 months 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 / 3 months ago
LogRocket takes error tracking to the next level by recording actual user sessions. Think of it as having a video replay of exactly what happened when an error occurred. Their free tier includes 1,000 sessions per month, which might seem limited but provides incredible value for debugging complex user interactions. - Source: dev.to / 4 months ago
LogRocket โ frontend visibility and replay. - Source: dev.to / 7 months ago
LogRocket: Great for frontend UX teams who require detailed replays and product performance metrics. - Source: dev.to / 8 months ago
As a demo project, letโs try to rebuild something close to LogRocketโs landing page:. - Source: dev.to / about 1 year ago
LogRocket is a proficient tool in the realm of React debugging tools, designed to optimize the debugging process for developers. Through a highly-optimized JavaScript SDK and Redux middleware, LogRocket provides a robust platform for recording Redux data, network requests, console logs, JavaScript errors, and full DOM videosโโ. - Source: dev.to / over 2 years ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Hotjar - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!
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.
FullStory - Meet FullStory, the app that captures all your customer experience data in one powerful platform.
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.
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.