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Prometheus
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Based on our record, Prometheus seems to be a lot more popular than Google Maps API. While we know about 300 links to Prometheus, we've tracked only 2 mentions of Google Maps API. 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 / 16 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 / 24 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
1. Go to Google Maps Platform and Sign up or log in with your existing with your Google account. - Source: dev.to / almost 4 years ago
In case you don't want to use a local database file or need something more precise than a city's long/lat, I used the openroutservice api for geo coding in one of my recent projects. It offers 1.000 queries per day for free and has a python wrapper. Another option would be the Google maps API which offers 40k requests per month. Source: about 5 years ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Esri ArcGIS - ArcGIS provides contextual tools for mapping and spatial reasoning so you can explore data & share location-based insights. ArcGIS is the heart of the Esri Geospatial Cloud. Try ArcGIS for free with 21-day trial.
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.
Google Earth Pro - Google Earth Pro allows you fly anywhere around the earth to view satellite imagery, maps, 3D building, and terrain, from galaxies in outer space to the canyons of the ocean.
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.
QGIS - Spatial visualization and decision-making tools for everyone