Amazon CloudWatch vs. SpeedCurve

If you use any AWS services, CloudWatch is the natural choice to monitor & troubleshoot your workload. Thankfully, for most AWS services, CloudWatch is either built-in or very easy to set up. However, being proficient in browsing & tracking the log events would take some training & practice. Having some experienced people on the team would help immensely, especially in spreading the skill to the rest of the team.

Incentivized

Website performance monitoring:

• Setting performance targets and alerts
• Investigating performance degradation (including data stored before the issue was detected)
• Improving the team's performance awareness and knowledge

Incentivized

• 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

• Store performance checks
• User interface is great to help analyse the data
• Simple yet effective interface
• Offer some insights and other tools to help make sense of the data

Incentivized

• 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

• The interface has some confusing points, for instance aggregation setting (percentiles, median) is misleading, and doesn't do anything in some cases
• Some additional statistical tools would super charge the charts and alerts: moving average, some more useful trend lines
• The performance charts are amazing to compare many values (from different pages, multiple metrics) and find correlations. But the charts are barely usable when many metrics are shown (one cannot tell a line from the other). A simple UI improvement there could supercharge this use case

Incentivized

Although the tool itself is easy to integrate and is readily available for use, it has its limitations. The key limitations of cloudwatch are with respect to cost incurred on log retention and log querying. While for key use cases this is sufficient, for more advanced use cases, Amazon CloudWatch doesn't work out. Also, obviously it is tightly coupled with AWS, which makes you look away if you need a single tool for all monitoring

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

We use Cloudwatch for simpler monitoring, but these metrics and logs often feed into bigger ecosystems across our organization. The metrics and logs in Cloudwatch allow our developers quick and easy access to the data they need whilst easily integrating the same data into more prominent platforms for wider analysis, including Service desk support, SecOps, and ITOps monitoring within the organization.

Incentivized

SpeedCurve actually uses many of those standard tests, and stores the information from test runs indefinitely. This is the game changer.

Incentivized

• 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

• Speedcurve facilitates and empowers performance improvements that lead the higher conversion rates, user engagement and ultimately GMV
• Through it's interface and automation, Speed curve saves hundreds of hours in investigations around performance issues
• By facilitating performance analysis and knowledge sharing, SpeedCurve allows our teams to be more performance-aware, preventing performance issues from even happening

Incentivized