Overview
Overview
The Prometheus Pushgateway serves as an intermediary service that allows ephemeral and batch jobs to expose their metrics to Prometheus. Unlike traditional pull-based monitoring, it accepts metrics pushed from your applications and makes them available for Prometheus scraping.
Features
- Accepts metrics from batch jobs, cron jobs, and short-lived services
- RESTful HTTP API for pushing metrics in Prometheus exposition format
- Persistent storage of pushed metrics until explicitly deleted or replaced
- Built-in web interface for viewing current metrics and job status
- Support for metric grouping by job and instance labels
- Docker-ready deployment with minimal configuration required
Getting Started
Deploy the container on port 9091 and configure your batch jobs to POST metrics to /metrics/job/<job_name>. The Pushgateway will store these metrics and make them available at /metrics for Prometheus to scrape. Ideal for monitoring backup jobs, data processing pipelines, and scheduled tasks.
Disclaimer: This software is open-source and distributed under its own licensing terms. It is not affiliated with, endorsed by, or sponsored by the upstream project maintainers. Provided "as is" without warranty. Users utilize this software at their own risk and are responsible for compliance with applicable regulations.
Highlights
- Batch job metrics collection for Prometheus monitoring
- RESTful API for pushing metrics from ephemeral services
- Persistent metric storage with web-based management interface
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/hour |
|---|---|---|
t3.medium Recommended | t3.medium instance | $0.01 |
t3.micro | t3.micro instance | $0.00 |
t3.large | t3.large instance | $0.01 |
m5.large | m5.large instance | $0.01 |
r5.large | r5.large instance | $0.01 |
m5.xlarge | m5.xlarge instance | $0.01 |
Vendor refund policy
No refunds. Cancel anytime. Contact support@waltsoft.net .
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Content disclaimer
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
Replaced with Prometheus Pushgateway - Batch Metrics Collection & Monitoring. Fresh build by Waltsoft.
Additional details
Usage instructions
Step 1: Launch from AWS Marketplace using t3.medium or larger. Step 2: SSH with ssh ubuntu@<public-ip>. Step 3: Wait 2-3 min for Docker to start. Step 4: Access at http://<public-ip>:9091. Step 5: See /opt/waltsoft/README.md for details.
Support
Vendor support
For technical support, email support@waltsoft.net or visit
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.