Checkmk is a comprehensive solution for IT Monitoring of servers, applications, networks, cloud infrastructures (public, private, hybrid), containers, storage, databases and environment sensors. In the network field we support SNMP, but also have integrations to APIs and powerful agents for operating systems. Our users benefit from more than 1.900 Plugins for vendors like Cisco, Brocade, Dell, Enterasys, Extreme Networks, Huawei, Intel and many more.
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, Checkmk seems to be a lot more popular than Datadog. While we know about 54 links to Checkmk, 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.
Or Checkmk [1], which is coming from Nagios and brings thousands of plugins for nearly every hardware and service you can think of.. [1] https://checkmk.com/. - Source: Hacker News / 9 months ago
CheckMK https://checkmk.com. You can spin this up in a docker container. Source: almost 2 years ago
I use CheckMK to do all of this and more, except nutanix. But checkmk also can Monitor nutanix via the "Nutanix Prism" special agent Integration. Source: almost 2 years ago
BI machine and NVR report to CheckMK Raw host so it's easy to see historic stats. Source: almost 2 years ago
I’m using https://checkmk.com/ to monitor stuff and it seems to work great. Lots of built in features and functions and if they don’t have what you need you can also create custom scripts to check and report on anything you can dream up. Runs great in docker (I’m using portainer but will run fine in plain old docker). Source: almost 2 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 / over 1 year ago
Currently supported : Datadog, Jenkins, DNS, HTTP. Source: over 2 years 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 4 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 4 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 4 years ago
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