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 iperf. We know about 5 links to it since March 2021 and only 4 links to iperf. 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.
Just some clarification: IPerf 2 is different from the iperf3 found at https://github.com/esnet/iperf. - Source: Hacker News / 13 days ago
Network - network throughput (both incoming and outgoing) is tested using iperf3 on several geographically diverse public iperf servers. Source: over 1 year ago
File transfer using iperf3 over Tailscale. I noticed that the bandwidth to my home computer (on a 500/500 fiber connection) was higher than with speedtest.net. For the first few days I was getting downloads and uploads of 28Mbps (+/- std dev of 6Mbps) and 150ms latency (+/- 35ms). After somewhere around 100GB total transfer (maybe half of that over Tailscale), it is now downloading and uploading at 10Mbps (+/-... Source: about 2 years ago
I can add to this. I have two mini self contained projects to create multiarch static bins of mtr and iperf3 for general usage. Source: almost 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 / 7 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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