Amazon CloudWatch vs. Percepio Tracealyzer

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.

Incentivized

This is a perfect tool to debug complex bugs in your system, especially in regards to inter-task communication. It is also a great tool for beginners, as the documentation is accessible and the support given by the company is excellent

• 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.

Incentivized

• Great visualization
• Sometimes awkward views (vertical vs horizontal)

• 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.

Incentivized

• It's not always easy to include/integrate Tracealyzer in the OS build. It would be nice to have a simple install/plug n play method for our target.
• Sometimes, the .bin files from Tracealyzer don't always work and we don't know why

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.

Incentivized

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.

Incentivized

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

Incentivized

While we started using uCOSIII for our simpler microcontroller products, we also use QNX on more complex targets (full microprocessors) and it is a much more complex platform offering event tracing, memory tracing, and performance measures that are extremely good and integrated. More importantly these tools are fully integrated without any code changes. Tracealyzer is not integrated as much into uCOSIII like QNX's tools, debugger, etc. But, going thru the manual work of adding Tracealyzer to the build, it did help us get to a shippable product.

• 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.

Incentivized

• Positive: We were able to find some thread priority issues with Tracealyzer.
• Positive: we were able to see timing of events in the sw/hw that we couldn't otherwise see.