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, VisualVM should be more popular than Datadog. It has been mentiond 21 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.
If you're curious, attach VisualVM and watch the RAM usage graph. You'll notice that Java performs garbage collections long before reaching allocating the maximum amount of RAM allocated, and you can't even feel any performance issue in-game. Source: 11 months ago
Hangs and deadlocks are significantly harder to debug. A first step is taking a thread dump so you can see what each thread in the JVM is currently trying to do. I like VisualVM for this, you can also use the command-line tools jps -l (to list all Java PIDs) and jstack for taking a thread dump. Source: 11 months ago
The Java VisualVM project is an advanced dashboard for Memory and CPU monitoring. It features advanced resource visualization, as well as process and thread utilization. - Source: dev.to / 12 months ago
This sounds like a server thread freeze/deadlock/crash or something. I think I would start debugging this using a tool like VisualVM; attach it to the game, wait for the hang, take a thread dump, and check what the server thread is up to. Source: about 1 year ago
Just wanted to chip in to say that /u/UtilFunction is correct. The proper way to measure memory consumption of any Java application independent of which garbage collector is used is to perform a heap dump (which automatically forces a complete garbage collection). I like to use VisualVM for that. Source: about 1 year 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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