I've developed a SaaS starter that prioritizes best practices: - Backend built with hexagonal architecture - Frontend structured with the Refine framework
It offers a comprehensive set of features: ๐ Multi-tenancy support ๐ณ Seamless integration with Stripe for payments ๐ Infrastructure as Code for Render or Vercel deployment ๐ User authentication and authorization ๐ Smooth sign-in and sign-up flows ๐ Easy creation of CRUD pages with filters
The tech stack includes Next Auth, Nest.js, Prisma, Zod and GraphQL.
Explore more at https://widin.io.
**Demo is at https://app.widin.io.
Datadog is a monitoring and analytics platform for cloud-scale application infrastructure. Combining metrics from servers, databases, and applications, Datadog delivers sophisticated, actionable alerts, and provides real-time visibility of your entire infrastructure. Datadog includes 100+ vendor-supported, prebuilt integrations and monitors hundreds of thousands of hosts.
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Widin.io's answer
We use the Refine framework to help you easily create advanced and organized frontend features.
On the backend, we structure the codebase using Hexagonal Architecture best practices. This approach is crucial for a SaaS platform to effectively deliver advanced features.
Widin.io's answer
Widin is the only starter that focuses on hexagonal architectures. It helps to start quickly but also to stay on the right track over time.
Widin.io's answer
Startup CTO launching a new product.
Widin.io's answer
Having built several SaaS web apps from scratch, I developed over and over similar features. Trade-off between velocity and clean architecture are sometime made, while undesirable. Widin aims to provide a solution to that compromise.
Widin.io's answer
Next.js, React.js, Typescript, Refine, Next Auth, GraphQL, GraphQL Codegen, Nest.js, Passport, CASL, Zod, Prisma, PostgreSQL, Vercel, Render.
Based on our record, Datadog seems to be more popular. It has been mentiond 5 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.
Ideally, if we had access to the underlying infrastructure, we could probably install the Datadog Agent and configure it to send our logs directly to Datadog, or even use AWS Lambda functions or Azure Event Hub + Azure Functions in case we were facing some specific cloud scenarios. - Source: dev.to / 8 months ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 1 year ago
Datadog is a powerful monitoring and security platform that gives you visibility into end-to-end traces, application metrics, logs, and infrastructure. While Datadog has great documentation on their Kubernetes integration, we've observed that there's some missed nuance that leads to common pitfalls. - Source: dev.to / almost 3 years ago
.. Is to see you email address being silently distributed to every single company that I've watched a talk from. And now suddenly get several promotional spam emails per day from some 4-5 different domains like instana.com, datadoghq.com, snyk.io, cockroachlabs.com (some of them send even multiple emails per day!). Source: almost 3 years ago
We're commonly doing this with logging, using services such as Loggly or DataDog. We're using managed databases, be it on AWS, Heroku or database-vendor-specific solutions. We're storing binaries on S3. Externalising user authentication and authorization might be a good candidate as well. - Source: dev.to / about 3 years ago
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