Amazon CloudWatch vs. CoreOS rkt / Container Linux (project ended)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon CloudWatch
Score 8.3 out of 10
N/A
Amazon CloudWatch is a native AWS monitoring tool for AWS programs. It provides data collection and resource monitoring capabilities.
$0
per canary run
CoreOS rkt / Container Linux (project ended)
Score 7.0 out of 10
N/A
CoreOS rkt or Container Linux was a rival to Docker that was acquired by Red Hat, then given to the Cloud Native Computing Foundation (CNCF). The project has since been discontinued.N/A
Pricing
Amazon CloudWatchCoreOS rkt / Container Linux (project ended)
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
No answers on this topic
Offerings
Pricing Offerings
Amazon CloudWatchCoreOS rkt / Container Linux (project ended)
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsWith 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.
More Pricing Information
Community Pulse
Amazon CloudWatchCoreOS rkt / Container Linux (project ended)
Top Pros
Top Cons
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Amazon CloudWatchCoreOS rkt / Container Linux (project ended)
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Score 9.2 out of 10
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User Ratings
Amazon CloudWatchCoreOS rkt / Container Linux (project ended)
Likelihood to Recommend
8.5
(38 ratings)
7.0
(2 ratings)
Support Rating
8.4
(8 ratings)
-
(0 ratings)
User Testimonials
Amazon CloudWatchCoreOS rkt / Container Linux (project ended)
Likelihood to Recommend
Amazon AWS
Cloud watch is great and essential if you decide to invest in AWS and have any need to monitor the health of all aspects of your VPC resources, or at the organizational level (multiple accounts). Another benefit of the service is constant upgrades at no additional costs; the software evolves to develop modules and interface improvements. For first-time users in AWS, this is going to take a bit to understand, so the learning curve to this metrics environment can seem overwhelming at first glance/use.
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Open Source
CoreOS rkt is well suited for any development environment where operating systems and hardware are not homogeneous. CoreOS rkt allows us to write code on one machine with the confidence that it will work on any other. This has been immensely helpful as our developers are often switching to the latest and greatest machines and operating systems. CoreOS rkt is less suited for environments that are not Software as a Service. There is often no need to bring the entire developer environment and associated dependencies when delivering a one time product. In these environments CoreOS rkt just adds unneeded overhead.
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Pros
Amazon AWS
  • 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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Open Source
  • Running a secure container without messing up with low-level details
  • Very clear and straightforward approach to building a container
  • A way to go for new projects thinking of containers
  • Comprehensive and well-written documentation compatible with UNIX keep it simple way of thinking
Read full review
Cons
Amazon AWS
  • 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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Open Source
  • Market share, it's often very difficult to find new talent who use CoreOS rkt.
  • Lack of wow features, CoreOS rkt doesn't necessarily offer any immediate advantages over other container solutions.
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Support Rating
Amazon AWS
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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Open Source
No answers on this topic
Alternatives Considered
Amazon AWS
I believe that CloudWatch is a better solution to use with AWS services and resources in terms of cost and ease of integration with AWS infrastructure services. But keep in mind that Elasticsearch is better at aggregating application-level metrics. We chose CloudWatch because of its capabilities to integrate and monitor AWS services in almost real-time.
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Open Source
Docker, lxc, Ubuntu Snappy, partisan chroot+unshare Reformulating the problem and realizing a container is not necessary when a testing environment with clearly defined behavior.
Read full review
Return on Investment
Amazon AWS
  • We were able to set up log streaming, retention, and simple downtime alerts within a few hours, having no prior experience with CloudWatch, freeing up our engineers to focus on more important business goals.
  • CloudWatch log groups have made it relatively easy to detect and diagnose issues in production by allowing us to aggregate logs across servers, correlate failures, isolate misbehaving servers, etc. Thanks to CloudWatch, we are generally able to identify, understand and mitigate most production fires within 10-15 minutes.
  • Choosing CloudWatch to manage log aggregation has saved us quite a bit of time and money over the past year. Generally, 3rd-party log aggregation solutions tend to get quite expensive unless you self-host, in which case you typically need to spend a fair amount of time setting up, maintaining, and monitoring these services.
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Open Source
  • Developers spend less time configuring and more time coding.
  • Less time training developers as CoreOS rkt lets them use whatever hardware and operating system they want.
  • Reduced our IT costs, solutions are containerized using CoreOS rkt meaning they can write one solution with many developers in mind.
Read full review
ScreenShots

Amazon CloudWatch Screenshots

Screenshot of How Amazon CloudWatch works - high-level overviewScreenshot of CloudWatch Application MonitoringScreenshot of CloudWatch ServiceLens and Contributor Insights - expedite resolution timeScreenshot of Improve Observability with Amazon CloudWatchScreenshot of Visual overview of Amazon CloudWatch