Prometheus VS Opsmeter
Compare Prometheus VS Opsmeter and see what are their differences
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Opsmeter is an AI cost observability platform that shows exactly what caused your AI bill. Track spend by endpoint, user, model, and prompt version, monitor token and latency trends, and keep telemetry flowing with provider-agnostic ingest, rate-limit headers, and retry-safe guidance.
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Opsmeter's answer:
Opsmeter combines endpoint, user, model, and prompt-version cost attribution in one view, so teams can quickly see what changed and why AI spend increased. It is provider-agnostic and built to keep telemetry reliable without breaking production flows.
Opsmeter's answer:
Choose Opsmeter for faster root-cause analysis, simple provider-agnostic ingest, and practical budget/rate-limit handling. It helps teams act on cost spikes quickly instead of only showing high-level usage charts.
Opsmeter's answer:
Opsmeter is built for teams running AI in production: CTOs/engineering leads, platform and ops teams, and founders who need clear cost visibility and governance.
Opsmeter's answer:
Opsmeter started from a common problem: teams could see the AI bill, but not what exactly caused it. We built Opsmeter to answer that question clearly and quickly with request-level attribution.
Opsmeter's answer:
Opsmeter is built with Angular (TypeScript) on the frontend, ASP.NET Core (.NET/C#) on the backend, PostgreSQL for data, and Docker/Nginx for deployment and operations.
Opsmeter's answer:
We currently work with startup and growth-stage AI teams. Customer names are not publicly disclosed yet.
Based on our record, Prometheus seems to be a lot more popular than Opsmeter. While we know about 300 links to Prometheus, we've tracked only 1 mention of Opsmeter. 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 / 17 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
- Would you want this as observability, governance, or both? Website: https://opsmeter.io. - Source: Hacker News / 4 months ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Helicone AI - Open-source LLM Observability for Developers
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.
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
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.
Humanloop - Train state-of-the-art language AI in the browser