
Noom
MyFitnessPal
Lose it!
Cronometer
LifeSum
fatsecret
YAZIO
PlateJoy
Prometheus
Grafana
Datadog
NewRelic
Zabbix
Splunk
Kubernetes
Dynatrace
Noom
PrometheusBased on our record, Prometheus seems to be a lot more popular than Noom. While we know about 300 links to Prometheus, we've tracked only 7 mentions of Noom. 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.
So, is loom.com the sister company of noom.com? I'm afraid to click the link, as I might go to hell. Source: over 3 years ago
Need to build a quiz funnel similar to noom.com or betterme.world. Source: over 3 years ago
Learn and practice mindfulness meditation. http://noom.com. Source: almost 4 years ago
Yes. I am doing this right now through noom.com. It takes a while but for me they say not to ignore the craving but understand what is triggering it: proximity to food, routine, boredom, "fog eating" (which is just mindlessly snacking when sitting on the couch or standing in the kitchen etc.) Then decide what it is you crave and why. So it you want salty, do popcorn with a little salt instead of ships. If it's... Source: about 4 years ago
Finally, to answer the question about the calories jumping from 1200 to 1320 see the article on noom.com BLOG called "calorie goals at noom" from 11/21 where they say they raised calories by 10% and it didn't negatively impact member weight loss. Source: over 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 / 21 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 / 28 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 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 / 2 months ago
MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Lose it! - Snap a photo of your food to get nutritional facts
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.
Cronometer - A big trend in todayโs world is health and fitness, particularly in recording nutritional information. There are several options available to achieve this result.
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.