What users are saying about

Amazon CloudWatch

43 Ratings
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Score 7.9 out of 101

Dynatrace Data Center RUM

9 Ratings
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Score 9 out of 101

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Likelihood to Recommend

Amazon CloudWatch

It is well suited for organizations already using a number of Amazon services, as most of these will integrate very nicely with CloudWatch. If you have detailed log retention requirements, it's quite nice as well since they make it easy to configure retention and export data to S3. The tooling for metric filters and dashboards are very customizable and sufficient for general monitoring but the UX is not the most friendly. If your organization spends a lot of time on business intelligence and performance tracking, you may want to consider a more targeted 3rd-party service.
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Dynatrace Data Center RUM

It works really well on all things based on HTTP and the specific decodes it supports. There are guides for configuring but they are not "hard" as you can tweak and twist the decode with RegExs .For the other decodes included, the same applies. You also have full freedom to draw reports backwards and forwards as all data is exposed in the DMI (Data Mining Interface).It also sports a nifty Smartphone interface where you can control what is being published in a role-based setup, making sure your managers only get what they ask for and are spared the techie details.
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Feature Rating Comparison

Application Performance Management

Amazon CloudWatch
Dynatrace Data Center RUM
8.3
Application monitoring
Amazon CloudWatch
Dynatrace Data Center RUM
10.0
Database monitoring
Amazon CloudWatch
Dynatrace Data Center RUM
8.0
Threshold alerts
Amazon CloudWatch
Dynatrace Data Center RUM
10.0
Application performance management console
Amazon CloudWatch
Dynatrace Data Center RUM
10.0
Collaboration tools
Amazon CloudWatch
Dynatrace Data Center RUM
4.0
Out-of-the box templates to monitor applications
Amazon CloudWatch
Dynatrace Data Center RUM
10.0
Application dependency mapping and thresholding
Amazon CloudWatch
Dynatrace Data Center RUM
9.0
Virtualization monitoring
Amazon CloudWatch
Dynatrace Data Center RUM
9.0
Server availability and performance monitoring
Amazon CloudWatch
Dynatrace Data Center RUM
10.0
IT Asset Discovery
Amazon CloudWatch
Dynatrace Data Center RUM
3.0

Pros

  • Integration with other AWS products is CloudWatch's greatest feature. CloudWatch logs and metrics are provided out-of-the-box for ECS, Lambda, Sagemaker, and most other AWS products. Log aggregation and instrumentation are difficult to configure and manage; it is great to defer that work to AWS.
  • Configuring log retention policies is simple with AWS. If your business is required to retain logs for years, being able to automatically move old logs to S3 IA or Glacier with a few clicks is convenient.
  • Configuring alerts from metrics is simple, and it is easy to integrate alerts with PagerDuty or email.
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  • The ability to correlate Citrix users and their performance to an actual backend application.
  • Full insight into SAP over all the protocols as well as the customized code makes DCRUM a nice augmention to Solution Manager.
  • The high capacity to decode 20 Gbps traffic on a single box/probe makes it easy to slot in even in high density populated DCs.
  • In an effort to help understand and decode unknown traffic the configuration wizard helps and suggests what things to use in the datastream, since hardly any customers have documentation that covers the network traffic/protocol.
  • It's also very handy to be able to define specific traffic to/from a node as Software Services when they are a shared resource, such as a database, web farm or a DNS. That enables you to cherry pick from as many software services as you want when building the application delivery chain which makes up what a user perceives as "an application".
  • High capacity netflow processing helps you to get insight into devices that might be out of reach for various reasons.
  • One very convenient thing is the self-monitoring/maintenance of the system. Often the installations are left running for a very long time and there is comfort in knowing that they will maintain themselves with data rollup and cleaning tasks so you won't be met by a blank screen due to a full HD or the inability to restart without user intervention.
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Cons

  • The console's log search lacks many of the features you would find in PaperTrail or Log.ly. Regex search is either not supported, or very difficult to find.
  • It can be difficult to understand how the CloudWatch bill breaks down by log group.
  • The date/time picker in the console could be easier to use.
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  • Major upgrades process is sometimes unpredictable.
  • The use of SQL Server should be evaluated for something else.
  • Easier SSL key handling.
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Usability

No score
No answers yet
No answers on this topic
Dynatrace Data Center RUM10.0
Based on 1 answer
Best of breed.
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Support

No score
No answers yet
No answers on this topic
Dynatrace Data Center RUM9.0
Based on 1 answer
The only thing missing for a 10, would be if they texted or called you back.
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Alternatives Considered

CloudWatch's log search features are impoverished compared to PaperTrail's or Loggly's. However, CloudWatch aggregates logs from Lambda, ECS, API Gateway and more out-of-the-box. You do not need to manage anything. You do not need to worry about an errant logging configuration saturating your NAT's bandwidth. CloudWatch is not an APM like New Relic or Datadog, but it does provide some instrumentation. CloudWatch metrics for EC2 is most comparable to Nagios.
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There are a number of similar products in the field. Their challenge is that they are usually very hardware demanding or very narrow in terms of what questions they address as well as to what solution/protocol they can work with. Most of them are not so flexible as DCRUM and their support is traditional whilst the DevOps lab at Dynatrace is very agile and quick to respond.
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Return on Investment

  • Very positive ROI, we are able to pre-empt production issues via alerting
  • CloudWatch is low cost and allows us to get enterprise level monitoring
  • CloudWatch allows us to get visibility into all of our workloads and see how traffic is increasing or decreasing and make product level decisions
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  • It has reduced the number of war rooms as well as the number of people involved to address issues.
  • It helps in utilization trending for network capacity.
  • It has prevented poor solutions from hitting production.
  • When the various business units launch own initiatives such as third party tools or new platforms, it's become extremly easy to detect.
  • The reports help in the field of continuous improvement as any changes are immediately discovered and can be compared to history. Deviations from what you have decided as a tolerance corridor can be used to trigger alarms, both positive and negative.
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Pricing Details

Amazon CloudWatch

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Dynatrace Data Center RUM

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details