Amazon CloudWatch vs. Serverless360

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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Serverless360 is a great tool for managing complex Azure serverless environments>it offers comprehensive monitoring,alerting, and automation features that are essential for maintaining the health and performance of our applications.However, for organizations with simpler setups or minimal Azure serverless usage, the advanced capabilities of Serverless360 may not be necessary. Overall it's been a valuable addition to our tool kit

• 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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• It provides comprehensive visibility of azure apps and manages several azure services in a safe way.
• It identifies and solves incidents efficiently and also pinpoints the root cause.
• Keeps track of enterprise wide information across integrations.

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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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• Requires some initial configuration to make sure Azure resources are monitored correctly.
• Needs flexibility in the type of alerts you can setup.
• It maybe good to have more customized options.

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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Turbo360 (formerly Serverless360) is the best software intelligence tool out there in market saving us time as it is easy to see data instantly. The software provides business and traffic data information helping our organization make scalability decisions.

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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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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Metric monitoring in Serverless360 is the best. It eliminates the lengthy process of manually looking through error logs and immediately performs root cause analysis on problems as they arise giving insight into the Azure environment. The team can foresee and fix issues. Our team could safely transfer the less valued support task to the L1 support person and free up the skilled Azure resources to focus on the development of the business.

• 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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• Serverless360 has greatly improved our business operations.
• it helps us detect and solve issues faster leading to happier customer and increased productivity.
• it help us save money by optimizing our cloud resources