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Pyor.review
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Based on our record, Prometheus seems to be a lot more popular than Pyor.review. While we know about 300 links to Prometheus, we've tracked only 9 mentions of Pyor.review. 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.
Interesting, I built https://pyor.review to fix this exact issue, though it uses AI to categorize the files and groups them by complexity to speed up the review process because most AI generated code is noise, especially migration PRs. - Source: Hacker News / 8 days ago
Have you tried https://pyor.review ? It’s not an editor in that sense but a tool optimized for reviewing PRs produced by AI. - Source: Hacker News / 3 days ago
The migration is self was relativley easy to do with AI, a task that would've taken men months, done in a couple weeks. The not so good part about such migrations is that the resulting PR is huge, it does contain some important parts but most of it was noise and prop renames and mechanical changes. The problem is that Github wasn't really helpful with the review proccess, it doesn't provide a good experience for... - Source: Hacker News / 4 days ago
Reviewing the code is that hard part, but what makes it stressful is GitHub’s poor support for a good PR review experience, I ended up building my own solution (https://pyor.review) to make reviewing the code a lot less stressful. - Source: Hacker News / 5 days ago
Have you tried reviewing code on https://pyor.review instead of checking out the code locally? - Source: Hacker News / 6 days 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 / 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 — it's an ecosystem. - Source: dev.to / 3 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 / 3 months ago
In this post, we compare two forecasting models, Chronos (Chronos‑Bolt) 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
Graphite - Graphite is a highly scalable real-time graphing system.
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
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.
Stage Review - AI-powered code review that organizes pull requests into logical chapters
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.