Amazon CloudWatch vs. Checkmk

For out business we find that AWS Cloudwatch is good at providing real-time metrics for monitoring and analysing the performance and usage of our platform by customers. It is possible to create custom metrics from log events, such people adding items to a basket, checking out or abandoning their orders.

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As we have many different applications running on different servers, we appreciate the possibility of writing our own scripts to monitor the different processes and elements. Using scripts of our choice helps us a lot, as we have many different administrators. Thus, we are able to be prepared for upcoming outages or events.

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• It provides lot many out of the box dashboard to observe the health and usage of your cloud deployments. Few examples are CPU usage, Disk read/write, Network in/out etc.
• It is possible to stream CloudWatch log data to Amazon Elasticsearch to process them almost real time.
• If you have setup your code pipeline and wants to see the status, CloudWatch really helps. It can trigger lambda function when certain cloudWatch event happens and lambda can store the data to S3 or Athena which Quicksight can represent.

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• monitoring
• alerts
• Graphs

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• Memory metrics on EC2 are not available on CloudWatch. Depending on workloads if we need visibility on memory metrics we use Solarwinds Orion with the agent installed. For scalable workloads, this involves customization of images being used.
• Visualization out of the box. But this can easily be addressed with other solutions such as Grafana.
• By design, this is only used for AWS workloads so depending on your environment cannot be used as an all in one solution for your monitoring.

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• Layout
• Ease of Use
• Upgradability

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Very helpful software and I highly recommend to have on hand as a tool for testing, troubleshooting, and monitoring.

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It's excellent at collecting logs. It's easy to set up. The viewing & querying part could be much better, though. The query syntax takes some time to get used to, & the examples are not helpful. Also, while being great, Log Insights requires manual picking of log streams to query across every time.

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After knowing the architecture it is very easy to manage the system, rolling out agents and creating new monitoring tasks.

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Support is effective, and we were able to get any problems that we couldn't get solved through community discussion forums solved for us by the AWS support team. For example, we were assisted in one instance where we were not sure about the best metrics to use in order to optimize an auto-scaling group on EC2. The support team was able to look at our metrics and give a useful recommendation on which metrics to use.

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never contaced support

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Grafana is definitely a lot better and flexible in comparison with Amazon CloudWatch for visualisation, as it offers much more options and is versatile. VictoriaMetrics and Prometheus are time-series databases which can do almost everything cloudwatch can do in a better and cheaper way. Integrating Grafana with them will make it more capable Elasticsearch for log retention and querying will surpass cloudwatch log monitoring in both performance and speed

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We moved over to Checkmk from Nagios which felt like a natural evolution at the time as the raw version is based on Nagios, I vaguely not having any major issues moving over at the time. We still use the Raw version but we are planning to move to the enterprise version in the next 6 – 12 months as our needs expand.

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• Positive for alarms and alert notifications once configured/customized.
• Has upfront learning curve, and cost can increase as does the alarm activity and monitoring details you may require.
• Cost-effective for any size organization keeping with AWS and utilizing its native tools is a savings in long-term ROI.

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• avoid downtime
• Plan updates based on usage of a VM or network switch to avoid impacting users
• User satisfaction increased due to less visible downtime or issues with our IT infrastructure.

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