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.
Based on our record, Nest.js seems to be a lot more popular than Datadog. While we know about 184 links to Nest.js, we've tracked only 5 mentions of Datadog. 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.
NestJS is a powerful, progressive Node.js framework for building efficient and scalable server-side applications. It is written in TypeScript and is heavily inspired by Angular. It comes with a modular architecture and in-built support for a plethora of back-end features straight out of the box. One important part of developing applications with NestJS, or with any other back-end framework, is logging. - Source: dev.to / 19 days ago
Ory offers excellent documentation but needs more support tools and in-depth examples of using its libraries in TypeScript and NestJS projects. I decided to contribute to it by creating a set of libraries to interact with APIs, which will (hopefully) make integration into your NestJS project easier. This post presents the ideal use case to divulge my routines for creating libraries in NestJS/Nx! - Source: dev.to / about 2 months ago
When using the NestJS framework, sometimes you may need to change some default timeout. You can define them just like you'd do in a plain Node.js HTTP server like so:. - Source: dev.to / about 2 months ago
NestJS - opinionated more scalable, but harder to learn docs. - Source: dev.to / 2 months ago
Pragmatically, we can apply this to a Nest application by creating an Interface for our services, separating the Presenter layer (Controller) from the Use Case (Services):. - Source: dev.to / 3 months ago
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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