Amazon CloudWatch is a native AWS monitoring tool for AWS programs. It provides data collection and resource monitoring capabilities.
$0
per canary run
JBoss SOA Platform
Score 9.0 out of 10
N/A
Red Hat JBoss SOA Platform drives business execution, responsiveness, and flexibility in an open platform. It delivers what the vendor describes as an easy-to-consume service-oriented architecture (SOA) integration suite that lets users build, deploy, integrate, and orchestrate applications and services.
N/A
Pricing
Amazon CloudWatch
JBoss SOA Platform
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 CloudWatch
JBoss SOA Platform
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.
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.
JBoss Enterprise SOA Platform is great when you are looking at building more or less pure Java applications and SOA micro-services that may integrate with multiple external data sources. It is less useful when you are looking to build simple SOA applications that are simple in nature since the overhead associated with deploying as well as learning BPEL.
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.
JBoss is open source so the cost overhead to deploy and build application is very low.
JBoss Enterprise SOA Platform and its parent Redhat are reputed and well adapted in the industry so it is easy to find best practices documentation for complex deployments of JBoss middleware.
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.
JBoss Enterprise SOA Platform is dependent and build for JEE/Java application so using a different programming paradigm will be much harder.
There is still a learning curve to get familiar with BPEL making it harder to get an SOA micro-service up and running compared to a fully cloud-based service
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.
Redhat support generally is great and that is true for the JBoss Enterprise SOA Platform as well. Even if you do not buy support from Redhat, you can reply on the discussion board and bug fixes via the open-source JBoss without much trouble.
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.
Oracle SOA Suite (Oracle BPM + Oracle BPEL + other components) and IBM WebSphere middleware is most costly and suited if you are already using applications and other middleware components from these vendors. Mulesoft (Salesforce Mule ESB) is best when you need deep integration with one of Salesforce's existing products. JBoss and Apache Web Server are best when you do not want to invest infant CapEx/OpEx on license fee. Apache Web Server based middleware is best for simple SOA applications.
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.
