Amazon CloudWatch vs. NetApp Data Infrastructure Insights (formerly Cloud Insights)

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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For example, we had an application slowdown. It looked like the slowdown was storage. However, it was a malformed SQL query that no one realized was pulling data from the storage location that also housed the application. Cloud Insights saved us hours of downtime and frustration. Cloud Insights pinpointed which system was hogging resources. What makes Cloud Insights special is the way it looks at the data collected from the data sources. The insights it provides into the flow of data; sheds new light on how things work in your environment.

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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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• The visibility and usage optimization are the most valuable features.
• Ease to use for basic functionality.
• It is good for giving an overview of the systems and for tracking long-term trends. It is handy for root cause analysis.

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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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• Need to add more cloud resources for optimization, as many are still not compatible
• Data retention time is limited.
• Premium subscription is costly.

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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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I have been extremely happy with its usability. You can take thins as they are out of the box and it is useful. You can carry it as far as you want to go and every step you take improves your ROI.

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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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1. It's very easy to contact the customer support service, and they seem to be very happy to help at any time.
2. Timeliness of the support's response. Support is very active when responding to the customer's complaint or queries.
3. Technical support always provided the solutions to the problems encountered.
4. Overall customer support quality is good.

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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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For a while, we were using Zabbix to monitor our Kubernetes applications and microservices on our infrastructure in more than one public cloud platform. Cloud Insights has much better visualized dashboards. In addition, despite such a large number of quality features, it's still priced competitively.

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Once you install the acquisition unit and start collecting data, you can immediately begin using it. It is very self-explanatory and helpful. I could have used Cloud Insights without working with the NetApp Cloud Insights support team. I am glad I engaged them though. They helped me carry Cloud Insights to a new level and it fast-tracked the process that would have taken me time to complete.

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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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• Performance and security have improved
• Cloud Secure lets you get real-time alerts on any security breach, like a ransomware attack or something similar
• You can easily notice if something weird is happening on the cloud and later prevent that

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