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Reality Graph is the context, validation, and evidence layer for AI-assisted software development. The problem: tools like Claude Code, Cursor, and Copilot generate code faster than teams can understand and review it โ creating verification debt. Reality Graph doesn't replace these tools; it structures the workflow around them: Task Contracts make goals and done-criteria explicit and checkable before the run, Context Packs deliver focused instead of noisy context, the Validation Map ties every change to tests and risks, and the Evidence Trail records what changed and what was checked. Everything runs local-first โ source code never leaves your machine. Advisory by default, no autonomous commits. Built in Berlin, currently in private closed beta.
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Based on our record, Prometheus seems to be more popular. It has been mentiond 300 times since March 2021. 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 / 18 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 / 25 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
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
CodeRabbit - Unleash AI on Your Code Reviews with CodeRabbit
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.
SonarSource - Sonar empowers developers and organizations to achieve Clean Code, systematically and predictably.
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.
Aikido Security - Secure your code, cloud, and runtime in one central system. Find and fix vulnerabilities fast and automatically.
