Amazon CloudWatch is a native AWS monitoring tool for AWS programs. It provides data collection and resource monitoring capabilities.
$0
per canary run
OpsGenie
Score 7.9 out of 10
N/A
OpsGenie is an IT monitoring and incident response platform for development and operations teams, providing alerts and schedule management escalations. OpsGenie is now part of Atlassian since the late 2018 acquisition.
$0
up to 5 users
Pricing
Amazon CloudWatch
OpsGenie
Editions & Modules
Canaries
$0.0012
per canary run
Logs - Analyze (Logs Insights queries)
$0.005
per GB of data scanned
Over 1,000,000 Metrics
$0.02
per month
Contributor Insights - Matched Log Events
$0.02
per month per one million log events that match the rule
Logs - Store (Archival)
$0.03
per GB
Next 750,000 Metrics
$0.05
per month
Next 240,000 Metrics
$0.10
per month
Alarm - Standard Resolution (60 Sec)
$0.10
per month per alarm metric
First 10,000 Metrics
$0.30
per month
Alarm - High Resolution (10 Sec)
$0.30
per month per alarm metric
Alarm - Composite
$0.50
per month per alarm
Logs - Collect (Data Ingestion)
$0.50
per GB
Contributor Insights
$0.50
per month per rule
Events - Custom
$1.00
per million events
Events - Cross-account
$1.00
per million events
CloudWatch RUM
$1
per 100k events
Dashboard
$3.00
per month per dashboard
CloudWatch Evidently - Events
$5
per 1 million events
CloudWatch Evidently - Analysis Units
$7.50
per 1 million analysis units
Free
$0.00
up to 5 users
Essentials
$9.00
per user/per month
Standard
$19.00
per user/per month
Enterprise
$29.00
per user/per month
Offerings
Pricing Offerings
Amazon CloudWatch
OpsGenie
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
With Amazon CloudWatch, there is no up-front commitment or minimum fee; you simply pay for what you use. You will be charged at the end of the month for your usage.
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.
Incident response is well suited to OpsGenie, and this is where it really shines—whether it's an outage, a security incident, or similar. My experience is mostly with security, and it offers a great audit trail. It minimises the need to cut and paste from different platforms when creating reports and ensures that what was said and what was done (along with any evidence) is persisted and reflected in the incident detail.
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.
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.
OpsGenie New Jira design has made it difficult for those not familiar with that style.
OpsGenie could benefit from nested escalation flows for team schedules. Creating a product alert that uses and Tech Schedule as well as an Incident Manager Schedule that already exists would create less overhead and ease management.
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.
In general terms OpsGenie is a well done tool for solving the alert incident management, the usability is super ok during the configuration and during the alert. The main opportunity I found is the reporting and analytics section which is a little difficult to understand at a first sight and the refresh is not automatic, some little frictions but frictions at all
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.
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
We also looked at PagerDuty but decided to go with OpsGenie as it had more features on the plan we needed compared to PagerDuty which would have required us to spend a lot more for what we felt were non-premium features. Everything felt like an add-on - automation for an additional $20 a user per month seemed like a lot on top of the base plan
Helped us track bugs and issues that came up during product launch periods which reduced overhead that normally came with needing to manually contact the right team members
Prevented last minute breaking issues from falling through the cracks, decreased time to fix by automatically alerting the team members and allowing the product and project teams to easily see what active alerts are in progress
