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Amazon CloudWatch vs StatusGator: What are the differences?
Amazon CloudWatch: Monitor AWS resources and custom metrics generated by your applications and services. With Amazon CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health. Programmatically retrieve your monitoring data, view graphs, and set alarms to help you troubleshoot, spot trends, and take automated action based on the state of your cloud environment; StatusGator: Instant status overview of all the services you depend on including Heroku, Slack, Stripe, New Relic and 50 others. StatusGator monitors the published service status of more than 100 cloud services.
Amazon CloudWatch and StatusGator can be primarily classified as "Cloud Monitoring" tools.
Some of the features offered by Amazon CloudWatch are:
- Basic Monitoring for Amazon EC2 instances: ten pre-selected metrics at five-minute frequency, free of charge.
- Detailed Monitoring for Amazon EC2 instances: seven pre-selected metrics at one-minute frequency, for an additional charge.
- Amazon EBS volumes: eight pre-selected metrics at five-minute frequency, free of charge.
On the other hand, StatusGator provides the following key features:
- Consult your dashboard before spending hours debugging problems
- Enable notifications and be alerted when services report issues
- Simple, 3 minute setup. Just choose the services you use. That's it
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Learn MorePros of Amazon CloudWatch
Pros of StatusGator
Pros of Amazon CloudWatch
- Monitor aws resources76
- Zero setup46
- Detailed Monitoring30
- Backed by Amazon23
- Auto Scaling groups19
- SNS and autoscaling integrations11
- Burstable instances metrics (t2 cpu credit balance)5
- HIPAA/PCI/SOC Compliance-friendly3
- Native tool for AWS so understand AWS out of the box1
Pros of StatusGator
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Cons of Amazon CloudWatch
Cons of StatusGator
Cons of Amazon CloudWatch
- Poor Search Capabilities1
Cons of StatusGator
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What is Amazon CloudWatch?
It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.
What is StatusGator?
StatusGator monitors the published service status of more than 100 cloud services.
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What companies use Amazon CloudWatch?
What companies use StatusGator?
What companies use StatusGator?
No companies found
See which teams inside your own company are using Amazon CloudWatch or StatusGator.
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What tools integrate with Amazon CloudWatch?
What tools integrate with StatusGator?
What tools integrate with Amazon CloudWatch?
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What are some alternatives to Amazon CloudWatch and StatusGator?
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
New Relic
The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
AWS CloudTrail
With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.