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Codapult.dev
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Codapult is a modular Next.js SaaS boilerplate for developers who want a production-ready foundation without vendor lock-in. Auth, billing, teams, admin dashboards, AI features, and infrastructure-as-code (Docker, Terraform, Pulumi, Kubernetes) ship wired together. An adapter-based architecture lets you swap auth providers, payment processors, and storage backends by changing environment variables.
Compared to minimal launch templates, Codapult is built for products that may need to scale into B2B SaaS โ with SAML SSO, SCIM, audit logs, and white-labeling available when you need them, without restructuring the codebase.
Prometheus
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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 / 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 โ it's an ecosystem. - Source: dev.to / 2 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 (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 / 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
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.
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.
Makerkit.dev - MakerKit is a SaaS Starter Kit for Next.js, Remix, Firebase and Supabase. Build unlimited SaaS products in record time with the best SaaS Boilerplate.
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.
SaaSBold - Production-Ready SaaS Boilerplate for Your Next Project