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.
Datadog might be a bit more popular than NLog. We know about 5 links to it since March 2021 and only 5 links to NLog. 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.
Log4Net does not get that much attention any more. From my understanding it served as an alternative for Log4J, but today better and more modern solutions have been created. I migrated a codebase over to .NET Core a couple of years ago, and it seemed that Log4net had issues running on Linux because of kernel calls inside their codebase. If you look at the version history on NuGet, it had just 3 patch releases last... Source: about 1 year ago
I'm going to look at psframework mentioned elsewhere, but I make use of .NET NLog https://nlog-project.org/. it's not terribly hard to wire up, and is pretty feature rich. Source: over 1 year ago
On the other hand, NLog is a flexible and free logging platform for various .NET platforms, including .NET standard. NLog makes it easy to write to several targets. (database, file, console) and change the logging configuration on-the-fly. - Source: dev.to / almost 3 years ago
For instance, we use NLog for our .NET projects. The nice thing there is that you use an external configuration file (nlog.config or your application's default configuration file) to configure logging. You can specify various "loggers" and "appenders", so that you can route your logs to several places, and all you have to do is change configuration between environments. You can do things like allowing for... Source: almost 3 years ago
I was given discarded Lenovo T470s laptops that were put in the assembly department so the personnel could use the application. Because I was tied to Windows and had to create a GUI for easy usage, I decided to create a C# program in Microsoft Visual Studio because creating a GUI for Windows was very easy that way. It would create local HTML files using the Barcode Rendering Framework NuGet package for creating... - Source: dev.to / about 3 years 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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