Overview
Kapacitor 1.8.6 on Ubuntu 26.04 with Free Maintenance Support by bCloud
Kapacitor 1.8.6 on Ubuntu 26.04, with optional maintenance support from bCloud, is a repackaged open-source data processing and monitoring engine designed for real-time analytics and time-series data workflows. Kapacitor is a native data processing component of the InfluxData ecosystem that enables stream processing, batch processing, alerting, and automated actions on time-series data.
This Ubuntu-based deployment provides a ready-to-use environment for DevOps engineers, system administrators, and developers to build real-time monitoring pipelines, process metrics, and create automated alerting workflows with minimal setup effort.
Keywords of Kapacitor
- Real-time time-series data processing engine
- InfluxDB monitoring and alerting framework
- Stream and batch data processing
- Event-driven automation platform
- Metric analysis and anomaly detection
- DevOps monitoring and observability tool
- Automated alert management
- Production-ready time-series workflows
Core Technical Capabilities of Kapacitor
Real-Time Stream Processing
Kapacitor processes incoming time-series data streams in real time and enables automated analysis and responses.
- continuous metric and event processing
- real-time data transformation pipelines
- low-latency monitoring workflows
Batch Data Processing
Kapacitor supports scheduled batch processing for historical time-series analysis and reporting.
- scheduled data evaluation tasks
- historical metric analysis
- automated reporting and processing jobs
Alerting and Event Automation
Kapacitor provides flexible alerting capabilities for infrastructure monitoring and operational workflows.
- threshold-based and rule-based alerts
- custom alert handling logic
- integration with notification systems
InfluxDB Integration
Kapacitor integrates with InfluxDB for advanced monitoring, analytics, and time-series data management.
- native InfluxDB data processing support
- continuous query and data analysis workflows
- optimized time-series monitoring pipelines
Event-Driven Monitoring Pipelines
Kapacitor enables automated operational workflows based on real-time events and metric changes.
- automated response actions
- custom processing scripts using TICKscript
- scalable monitoring automation
Ubuntu 26.04 Deployment Advantages
Preconfigured Environment
Ubuntu-based deployment provides a ready environment for immediate use:
- Kapacitor 1.8.6 installed with required dependencies
- configured Linux runtime environment
- minimal installation and setup effort
System Integration
Supports standard Linux monitoring and infrastructure ecosystems:
- integration with InfluxDB and monitoring stacks
- systemd service management support
- Python, scripting, and automation compatibility
Maintenance Support (bCloud)
Optional bCloud support may include:
- environment updates and dependency management
- installation troubleshooting and configuration assistance
- deployment optimization for monitoring workloads
Support beyond the open-source Kapacitor environment may incur additional charges.
Highlights
- Real-time time-series data processing and analytics engine
- Advanced monitoring, alerting, and event automation workflows
- Seamless integration with InfluxDB and DevOps monitoring stacks
Details
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Pricing
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.01 |
t3.small | $0.03 |
m3.medium | $0.03 |
c3.large | $0.03 |
c5.large | $0.03 |
c4.large | $0.03 |
r5.large | $0.03 |
m3.large | $0.03 |
Vendor refund policy
No Refund
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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
Packaged with latest updates as of June 2026.
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands:
sudo su
kapacitor version
sudo systemctl status kapacitor
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Phone: +1 (408) 646-8523 Email: cloud@bcloud.ai Website:
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.