Prometheus
Grafana
Datadog
NewRelic
Zabbix
Splunk
Kubernetes
Dynatrace
Hours
Timeneye
Bonsai
Timing
Time Tracking for Freelancers
AND CO
Toggl
Everhour
Prometheus HoursBased on our record, Prometheus seems to be a lot more popular than Hours. While we know about 300 links to Prometheus, we've tracked only 9 mentions of Hours. 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 2 months 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 / 2 months 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 / 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 / 3 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 / 4 months ago
There are Discord servers that do group pomodoros, or websites like hours.zone, but these tend to focus on general to-do lists rather than goals for each pomodoro session. Source: about 4 years ago
I like hours.zone because we can see what each other is working on. I break up my work into lots of tiny tasks and aim to clear the whole list before the session ends, so it's a bit like a game. Source: over 4 years ago
Thanks to your post, I know of hours.zone now. I have made an account. All the best everybody who is reading this! Source: over 4 years ago
I'm serious about this and would do anything to make this buddy thing work. We can check on each other at a fixed time every day and virtually study at Hours.zone. Source: over 4 years ago
- I use a website called Hours with friends so we can hold each other accountable. The time lapse trick is one too - I took this video specifically because I was struggling to focus - because I don't want my time lapses to be of me wandering off onto Reddit when I should be studying. This post was part of my accountability for myself :-). Source: over 4 years ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Timeneye - Time Tracking Software for Teams and Freelancers
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.
Bonsai - One platform to streamline your agency business. Consolidate your projects, clients and finances into one integrated and easy-to-use 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.
Timing - Timing is the best way to keep track of the time you spend with your Mac.