Amazon CloudWatch is a native AWS monitoring tool for AWS programs. It provides data collection and resource monitoring capabilities.
$0
per canary run
ServiceNow IT Service Management
Score 8.4 out of 10
N/A
Built on the ServiceNow Now Platform, the IT Service Management bundle provides an agent workspace with knowledge management, and modules supporting issue tracking and problem resolution, change, release and configuration management.
N/A
Pricing
Amazon CloudWatch
ServiceNow IT Service Management
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
ITSM Standard
Custom Quote
ITSM Pro
Custom Quote
ITSM Enterprise
Custom Quote
Offerings
Pricing Offerings
Amazon CloudWatch
ServiceNow IT Service Management
Free Trial
Yes
No
Free/Freemium Version
Yes
No
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.
ITSM Pro and ITSM Enterprise also are available with optional "Plus" add-ons. These include AI Agents, an AI Agent Studio, and other features that augment the capabilities of the platform using AI Virtual Agents to automate tasks.
More Pricing Information
Community Pulse
Amazon CloudWatch
ServiceNow IT Service Management
Features
Amazon CloudWatch
ServiceNow IT Service Management
Incident and problem management
Comparison of Incident and problem management features of Product A and Product B
Amazon CloudWatch
-
Ratings
ServiceNow IT Service Management
8.8
68 Ratings
7% above category average
Organize and prioritize service tickets
00 Ratings
9.967 Ratings
Expert directory
00 Ratings
8.051 Ratings
Service restoration
00 Ratings
8.056 Ratings
Self-service tools
00 Ratings
9.965 Ratings
Subscription-based notifications
00 Ratings
8.963 Ratings
ITSM collaboration and documentation
00 Ratings
9.060 Ratings
ITSM reports and dashboards
00 Ratings
8.162 Ratings
ITSM asset management
Comparison of ITSM asset management features of Product A and Product B
Amazon CloudWatch
-
Ratings
ServiceNow IT Service Management
8.3
61 Ratings
1% above category average
Configuration mangement
00 Ratings
8.060 Ratings
Asset management dashboard
00 Ratings
8.059 Ratings
Policy and contract enforcement
00 Ratings
8.952 Ratings
Change management
Comparison of Change management features of Product A and Product B
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.
In our organization, we are using ServiceNow extensively. Change Management, Incident Management, Problem Management, Time tracking are few modules which we use extensively. This sort of model will work for any product or service based companies as the product is built on ITIL framework. So this product will be suited for small or large scale companies to better organize and add controls and track SLA's for technology or business process.
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.
When I have a number of requests to make, for example a request to add a dozen or so user accounts to more than one group account in Active Directory , I can put all the needed information into the initial form, add it to my "shopping cart" and all of that information remains on the screen for the next item for which I only need to edit a few items (like the AD group name in this example), and keep adding them to the shopping cart until I have them all. When I "Check Out" each of those items is generated as a separate task under the one request. It simplifies and expedites the creation and tracking of these kinds of requests.
I can easily and quickly see what tickets are currently assigned to me in order to prioritize them and remain aware of my workload.
Numerous fields for CIs can be used when trying to find the entry for a particular item. For example, IP Address, server name, raw text, classification, and so on.
To help with making sense out of related tasks, when a task is assigned to me and I need to open another task for a different team to work in order to complete my task, I can open a sub-task from my ticket so that the relationship between the two can be pulled up later into reports. For example, I may have a task to build a new vm, and need to open tasks for networking, security accounts, software installation and so on. By opening sub-tasks from my assignment, the time spent by all parties concerned is tied together for more meaningful cost accounting.
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.
It is hard to find areas for improvement, the tool is very powerful. That said, building the CMDB still involves some manual interaction which was not how it was presented in demos.
The CMDB data is almost too deep and detailed. When you build the relationship map it can be so large that it is overwhelming. You can limit this, but the default maps are massive if you are discovering lots of device classes.
The product is expensive. Since they are the leader in the industry and the product has tons of features, they definitely charge for it!
To be completely honest setting up a new ticketing system can be a pain in the ass. Once you have it setup and customized the way you want it, you don't want to switch unless you're unhappy with the product. Unless future releases and updates really muck the system up, I wouldn't change.
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.
The dashboard is so confusing, [there are] many clicks to open a task and search by a ticket. The Enterprise customisation [we did] has finished to kill the software and creates a really bad experience on a daily basis. [It is] So slow, and so many clicks to process a ticket. Works only on IE so, that [should] make you realize that [it] is a bad idea.
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.
I would give it this rating because we have had no major issues with the support for ServiceNow after we implemented it at our organization. They seem to respond promptly and efficiently if we ever do need to open a support case with them about an issue we are having.
To type in what should be a text box, you have to click an empty cell, a tiny text box pop up opens with a check box and an X. You the. Type in the text box and have to click the check mark. If you have a bunch of fields to fill out, doing this is very annoying. Absolutely know thought went in to this. I'm sure somebody in marketing thought it was a good idea. It wasn't.
Without exception, every client I have worked with has been very happy with their resulting product. While this is partly due to my work, I must point out that the platform is the winning decision, not the implementer.
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 used to use Jira to handle service tickets but it's way too robust for something this straightforward. Due to the nature of Jira, you needed to already have a lot of documentation and knowledge about who should be assigned the ticket, so the lift of creating a ticket was time consuming.
Overall ServiceNow has a positive impact on getting the SLA of tickets down in supporting our customers.
One negative impact has been the amount of time to get the product to produce an ROI, it's almost too big to fail and too big to replace. You almost become committed to the product. Good or bad.
Another negative impact would be if you track metrics of employees and time tracking, there is a lot of scenarios where engineers will track time on tickets but not get credit for closing them as the assignee function of tickets can only be tied to one user and credits only the engineer who closes the ticket.
Another positive impact would be the level of security for permissions and scaling the workloads is robust and you will get out of the system what your team is willing to put in.