ActiveBatch Workload Automation vs. Amazon CloudWatch

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ActiveBatch Workload Automation
Score 8.5 out of 10
N/A
ActiveBatch from Advanced Systems Concepts in New Jersey is IT workload automation software.N/A
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
Pricing
ActiveBatch Workload AutomationAmazon CloudWatch
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
ActiveBatch Workload AutomationAmazon CloudWatch
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeOptionalNo 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
ActiveBatch Workload AutomationAmazon CloudWatch
Top Pros
Top Cons
Features
ActiveBatch Workload AutomationAmazon CloudWatch
Workload Automation
Comparison of Workload Automation features of Product A and Product B
ActiveBatch Workload Automation
9.7
22 Ratings
17% above category average
Amazon CloudWatch
-
Ratings
Multi-platform scheduling9.620 Ratings00 Ratings
Central monitoring9.722 Ratings00 Ratings
Logging9.721 Ratings00 Ratings
Alerts and notifications9.722 Ratings00 Ratings
Analysis and visualization9.721 Ratings00 Ratings
Application integration9.621 Ratings00 Ratings
Best Alternatives
ActiveBatch Workload AutomationAmazon CloudWatch
Small Businesses

No answers on this topic

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Score 9.0 out of 10
Enterprises
Redwood RunMyJobs
Redwood RunMyJobs
Score 9.4 out of 10
IBM Instana
IBM Instana
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
ActiveBatch Workload AutomationAmazon CloudWatch
Likelihood to Recommend
9.6
(23 ratings)
8.5
(37 ratings)
Usability
8.4
(2 ratings)
-
(0 ratings)
Support Rating
1.0
(1 ratings)
8.4
(8 ratings)
User Testimonials
ActiveBatch Workload AutomationAmazon CloudWatch
Likelihood to Recommend
Redwood Software
Any large business or organisation that wants to manage their workload effectively and with the least amount of room for error might choose the ActiveBatch Automation tool. Being a consultant I feel that It aids in task automation and has the flexibility to change in response to varying company requirements. It helps to save huge time by doing all the repetitive tasks on daily basis. During the patching activity the schedulers can be stopped. It also help by alerting us if any system/job is down so that SLA can be saved. Overall ActiveBatch Automation stands as a dependable cornerstone for ensuring the seamless operation of our tasks.
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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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Pros
Redwood Software
  • Businesses can use ActiveBatch to plan tasks based on parameters like frequency, dependencies, and the time of day. By automating typical actions like backups and data transfers, businesses can make sure that crucial operations go off without a hitch.
  • Multiple systems and apps can be used in complicated workflows that ActiveBatch can automate. For instance, it can automate a workflow for processing orders from beginning to end, from the customer order through inventory control and delivery through the processing of invoices and payments.
  • Files can be sent between many platforms and systems safely with ActiveBatch. Transfers to cloud-based storage systems like Amazon S3 and Microsoft Azure are also included in this. SFTP and FTP transfers are also included.
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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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Cons
Redwood Software
  • On RARE occasions, have seen scheduling properties changed that don't take effect.
  • Simpler to understand/more robust reporting options would be nice to have.
  • Maybe I'm missing something, but why doesn't the Instances view show completion time? Just execution time and duration.
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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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Usability
Redwood Software
We can easily add new plans/jobs in our batch schedules. Also, coordination with reporting and QA jobs is simple to do. Building schedules, restarting jobs, triggering dependencies is easy to understand. The system is very stable and allows us to easily see overall processing times.
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Amazon AWS
No answers on this topic
Support Rating
Redwood Software
My colleague contacted them directly, I only know hearsay on this but it was not good.
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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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Alternatives Considered
Redwood Software
The workload automation solution is based on the specific needs of an organization, as well as the features, capabilities, and costs of various solutions. A thorough evaluation process and consideration of these factors can help ensure the selection of a solution that aligns with overall business objectives and meets the specific needs of the organization.
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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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Return on Investment
Redwood Software
  • I have not run numbers to determine hard impact, but a quick estimate is that at least one job is running for a average of about 6 hours per day - that 6 hours, if done by hand, would equate to about 30 - 40 hours per day (and in some cases, could not be duplicated manually, as the job repeats faster than a person could accomplish one cycle.)
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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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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