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Grafana Cloud
Grafana DevHelmGrafana is particularly recommended for IT professionals, data analysts, and engineers who need to monitor and visualize large datasets in real-time. It's ideal for organizations running complex systems or applications that require comprehensive monitoring to ensure uptime and performance are maintained. Additionally, Grafana is suitable for teams that value open-source solutions and require a platform that can integrate with multiple data sources and adapt to various monitoring needs.
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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, Grafana seems to be a lot more popular than DevHelm. While we know about 258 links to Grafana, 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.
The JSON output file can be analyzed using various tools. One popular option is to use Grafana along with k6 Cloud. You can also use the built-in summary report that k6 provides at the end of the test run. - Source: dev.to / 4 months ago
Enable Application Logging, Monitoring and Alerting using services like CloudWatch or Grafana. - Source: dev.to / 4 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
Prometheus lets you see this in real time. The vLLM metrics endpoint exposes vllm:gpu_cache_usage_perc and vllm:num_requests_waiting via a /metrics endpoint. Wire those up to Grafana, and you’ll immediately see when you’re cache-bound versus compute-bound, which tells you exactly which optimization to reach for first. - Source: dev.to / 5 months ago
Grafana — visualisation layer that renders live dashboards. - Source: dev.to / 6 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
Prometheus - An open-source systems monitoring and alerting toolkit.
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.