Amazon CloudWatch vs. TeleMate

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

We have been using TeleMate Predictive UC Analytics to help us troubleshooting issues with devices as it picks up not just CDR but other events that occur in the CUCM devices. They are currently making headway in capturing data from our Expressway Servers as we have several users working from home. This is an area in which not many tools out there to provide information we need as the expressways are a bit complex especially when being used in MRA. However, TeleMate Predictive UC Analytics is on track to be one of the first ones to get there. There is still a lot that Telemate has to offer however we are still in the process of getting all that set up on our side

• 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

• Assurance provides excellent live data and in a very easy to read format.
• A great multi-report catalog that can be easily setup/scheduled.
• A very in depth SIP call ladder analysis for VoIP engineers.

• 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

• More descriptions of the filters and how they are used.

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

We evaluated several other systems and went with TeleMate Predictive UC Analytics as they had a broader range of tools. We started looking for a CDR product and found that they provided those needs and had much more

• 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

• Information collected is used to justify staffing needs
• When used along with other technology, such as logging recorder, TeleMate Predictive UC Analytics helps determine accurately what happened with a caller