Sold by: Taskforce.sh Inc.
Deployed on AWS
AWS Free Tier
Dashboard for your Bull/BullMQ Queues.
Overview
Run your Taskforce.sh dashboard on premises.
The best way to monitor and understand your Bull/BullMQ queues.
Get the same dashboard experience as the SaaS version but with unlimited connections and teams on your own premises.
Highlights
- Complete overview of all the queues and their jobs.
- Add, update, delete and retry your jobs.
- Metrics overview for monitoring the performance of your queues.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux AWS Linux 2023
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.micro Recommended | $0.18 |
t3.large | $0.24 |
t3.medium | $0.22 |
t3.small | $0.20 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run this on-premises deployment on. The four options — t3.large, t3.medium, t3.small, and t3.micro — reflect different compute capacities, from smaller to larger. Pick the instance size that matches your workload; billing scales with the hours each instance runs. The software charge applies on top of standard AWS infrastructure costs. This on-premises deployment supports unlimited connections and teams, so pricing depends on instance size and runtime hours, not on the number of connections or users.
Top-of-mind questions for buyers
Each option maps to an AWS EC2 t3 instance of a different size, from t3.micro up to t3.large. Larger instances provide more CPU and memory. You pick the size that fits your workload and run this on-premises deployment on it. Billing is metered per hour the instance runs.
Hourly software charges accrue only while the instance runs. Stopping the instance halts the hourly software meter. Stopped instances may still incur standard AWS storage fees for attached volumes, but those are separate from the software charge and billed by AWS directly.
No. This on-premises deployment supports unlimited connections and teams on every instance size. Instance size affects only compute capacity and hourly cost, not how many connections or users you can add. Choose a size based on workload performance, not connection or team limits.
docs.taskforce.sh
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15 days refund guarantee
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
- Fix issue with pm2 not properly launched.
Additional details
Usage instructions
For complete instructions please check on the official documentation: https://docs.taskforce.sh and more specifically: https://docs.taskforce.sh/on-premises
If you are upgrading from a previous version: https://docs.taskforce.sh/on-premises/upgrading
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Taskforce.sh Inc.
By BMC Software Distribution B.V.
By BMC Software
Top
25
In Monitoring
Top
50
In Data Warehouses, ELT/ETL
Top
50
In ELT/ETL, Agile Lifecycle Management
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Queue Management Interface
Complete overview of all queues and their jobs with capabilities to add, update, delete, and retry jobs
Performance Monitoring
Metrics overview for monitoring the performance of queues
Bull/BullMQ Compatibility
Dashboard designed to monitor and manage Bull and BullMQ queue systems
On-Premises Deployment
Self-hosted deployment option enabling unlimited connections and teams on internal infrastructure
Multi-Team Support
Support for multiple teams with unlimited concurrent connections in on-premises deployment
Workflow Orchestration
Orchestrates application workflows across on-premises, public, private and hybrid cloud environments
Multi-Technology Integration
Integrates file transfers, applications and data sources through a rich library of plug-ins
Workflow Observability
Provides in-depth workflow observability with intelligent predictive analytics and reports
Data Pipeline Management
Manages production data pipeline workflows in a scalable manner
Unified Workflow Management
Delivers a single unified view for orchestrating all workflows across heterogeneous technology environments
AI-Powered Workflow Orchestration
Orchestrates AI agents in event-driven workflows and integrates with Amazon Bedrock and AWS GenAI services to create AI agents within orchestrated workflows.
Multi-Cloud and Hybrid Environment Support
Provides centralized control and governance across application workflows, file transfers, and data pipelines in hybrid and multicloud environments.
Native AWS Service Integration
Natively integrates with AWS services including S3, Bedrock, Snowflake, and hundreds of other enterprise systems.
Workflow Observability and Predictive Analytics
Delivers in-depth workflow observability with intelligent predictive analytics and reporting capabilities for production data pipeline workflows.
AI-Assisted Workflow Creation
Includes modern AI assistant (Jett) and agentic AI capabilities to automate workflow creation and management.
Standard contract
No
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