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DevHelm's answer:
DevHelm monitors your infrastructure and your dependencies in one place. Instead of finding out your app is down because Stripe's API is degraded, DevHelm tracks 80+ third-party services alongside your own monitors and correlates incidents automatically. You see the full picture — your stack and everything it depends on.
DevHelm's answer:
Most monitoring tools only watch what you own. DevHelm also watches what you depend on — cloud providers, payment APIs, auth services, CDNs. When something breaks, you instantly know if it's your code or a third-party outage. Plus, it ships with an MCP server so AI coding agents can manage monitors, incidents, and alerting directly.
DevHelm's answer:
Developers, SREs, and small engineering teams who run production services that depend on third-party APIs and cloud infrastructure. Teams that are tired of checking five different status pages during an outage.
Based on our record, Prometheus seems to be a lot more popular than DevHelm. While we know about 300 links to Prometheus, we've tracked only 8 mentions of DevHelm. 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 / 3 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
DevHelm monitors cloud-hosted applications from the outside and correlates their failures with the cloud services they depend on. It is not a CloudWatch replacement for host metrics. It is the black-box layer that answers "is my service actually working for users, and if not, is a vendor the reason?" Every monitor, including the free tier, supports HTTP checks with custom headers, request bodies, response body... - Source: dev.to / about 2 months ago
"I want the developer experience of open-source tools without the infrastructure overhead" If you value CLI-driven workflows, config-as-code (Terraform, SDKs), and API-first design — but don't want to maintain monitoring infrastructure — DevHelm's free tier gives you 50 monitors with flat pricing and no self-hosting. You get the same developer-centric experience without running the infrastructure behind it. See... - Source: dev.to / 3 months ago
If you're deploying AI infrastructure — MCP servers, LLM-powered APIs, autonomous agents — and need to monitor their health, availability, and performance, start with DevHelm's free tier. Set up monitors for your AI endpoints in under 5 minutes via the CLI or Terraform, and let Nighthawk handle incident investigation while you ship features. Add Langfuse for prompt-level tracing when you need visibility into what... - Source: dev.to / 3 months ago
If you need config-as-code and want monitors + status pages managed alongside your infrastructure — choose DevHelm. The CLI, Terraform provider, and SDKs mean your status page configuration lives in the same repo as your service definitions. When you add a new service, you add its monitor and status page component in the same PR. - Source: dev.to / 3 months ago
DevHelm is a developer-first monitoring platform built around flat-rate pricing and infrastructure-as-code workflows. Monitors, alert channels, notification policies, and status pages are all manageable through a CLI, Terraform provider, or Python/JS SDKs — the same tools your team uses for infrastructure provisioning. The platform covers HTTP, TCP, DNS, keyword, and SSL certificate checks with intervals down to... - Source: dev.to / 3 months ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Better Stack - Everything you need to ship higher‑quality software faster.
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.
UptimeRobot - Free Website Uptime Monitoring
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.
Uptime Kuma - A fancy self-hosted monitoring tool.