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, fio should be more popular than Datadog. It has been mentiond 14 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
Assuming two systems use flash storage, network bandwidth is identical and it is configured the same way, there should be an issue within the PC, either system or storage drive. Check the system logs for errors and warning events related to data transfer from/to NAS. Try to benchmark the PCs' disks using fio to confirm they have similar performance. https://github.com/axboe/fio. Source: 11 months ago
Not specifically addressing your question, but when you get to the point of wanting to start doing some experiments you may find that 'fio' [1] is very handy. [1] https://github.com/axboe/fio. - Source: Hacker News / 12 months ago
The dd is not a good benchmarking tool, you should use something like fio and probably tune it to use the ioengine most similar to your use case (eg. a database server will probably use some async IO interface). In your first example (with bs=1G) probably something (the guest OS, the qemu/kvm or the host OS) have split into smaller chunks anyway. Source: about 1 year ago
All linux tests are run with fio 3.32 (github) with future commit 03900b0bf8af625bb43b10f0627b3c5947c3ff79 manually applied. Source: about 1 year ago
Agree, I used flex/yacc to add an arithmetic expression evaluator to fio a few years back to allow simple math with some units in fio's job files, and for stuff like that, they're fine, but I wouldn't want to use them for a real language, the error handling is kind of a nightmare. Source: over 1 year ago
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