Amazon CloudWatch vs. Apica

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 I use this for only my area, it is very well suited to what I need it to do. Apica Synthetic monitors two different web applications in a time interval that is easily customizable for uptime and latency. These are critical indicators for a cloud-based point-of-sale system. We need solid uptime and limited latency across the enterprise.

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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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• Auto alerts trigger if any issue is identified
• Graphical representation of the health of applications
• Good product support from the team

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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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• It's very clunky. Infrastructure is large and very difficult to upgrade.
• SaaS and On-premise versions are different. There is an LDAP integration but users can only be assigned to one group (i.e. department). If you are in 2 departments, you need 2 separate logins.
• Update: they now offer federated logins
• It filled a gap in monitoring for us, but we're looking to move on.

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We trust the results that Apica Synthetic has achieved. Real-time alerting is critical to our clients and with limited resources, we can't handle many false positives; Apica Synthetic is the only solution that provides both of those features.

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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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As per my experience while using it. Thanks!

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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Apica Synthetic is very effective while configuring the account setup for any of the database/UserID.

Easy for implementation in our Infrastructure, Easy for troubleshooting the issue and Easy to use as well.

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 were using different monitoring tools for different requirements (e.g.,Nagios and Checkmk for infrastructure issues) and we were in need of a tool for service and API monitoring for which we were using ThousandEye. But alerts were 60-70% valid irrespective of conditions like network issues. But Apica Synthetic's alert mechanism is a perfect fit for our department. It helped us to reduce unnecessary/false alerts and a number of wrong tickets.

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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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• My department is not charged for Apica Synthetic so no ROI, but from a customer service perspective, we can react to an outage and repair it faster than our customers can report the outage.
• Our vendor's own monitoring tools are not as accurate nor as timely as ours. They rely on us telling them, from Apica Synthetic, that they have an issue.

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