Overview
Ganglia 3.7.4 on Ubuntu 22.04 with Free maintenance support by ATH.
This is a repackaged open source software product wherein additional charges apply for support.Ganglia consists of two main components: gmond (Ganglia Monitoring Daemon) and gmetad (Ganglia Metadata Daemon). The gmond daemon runs on each node in the cluster and collects local system metrics. It gathers performance data using plug-ins and then sends this data to a central location or multiple locations specified by gmetad.The gmetad daemon collects, aggregates, and stores the received metrics from multiple gmond daemons. It maintains a consolidated view of the cluster's performance data, storing it in Round-Robin Databases (RRDs) or other supported storage backends. Users can access this data through a web-based frontend provided by Ganglia. The web interface displays graphs and visualizations that represent the cluster's current and historical performance metrics. Users can monitor trends, identify bottlenecks, and analyze the performance of their systems using this interface.Ganglia is a powerful and flexible monitoring tool that enables administrators and users to gather, visualize, and analyze performance metrics from distributed systems and clusters, facilitating effective management and optimization of computing resources.
Highlights
- Ganglia is highly scalable and capable of handling large distributed systems with thousands of nodes. Its architecture allows for efficient monitoring of extensive clusters without significant performance degradation.
- It provides real-time monitoring capabilities, allowing users to view current system metrics and performance data of individual nodes or the entire cluster.
- Ganglia offers a user-friendly web interface for visualizing performance metrics through graphs, charts, and customizable dashboards. This interface enables easy navigation and analysis of system performance.
Details
Typical total price
$0.12/hour
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.micro AWS Free Tier | $0.01 | $0.012 | $0.022 |
t2.small | $0.02 | $0.023 | $0.043 |
t2.medium | $0.02 | $0.046 | $0.066 |
t2.large | $0.02 | $0.093 | $0.113 |
t2.xlarge | $0.02 | $0.186 | $0.206 |
t2.2xlarge | $0.02 | $0.371 | $0.391 |
t3.nano | $0.02 | $0.005 | $0.025 |
t3.micro AWS Free Tier | $0.02 | $0.01 | $0.03 |
t3.small | $0.02 | $0.021 | $0.041 |
t3.medium | $0.02 | $0.042 | $0.062 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No Return
Legal
Vendor terms and conditions
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
Try one unit of this product for 5 days. There will be no software charges for that unit, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration and you will be charged for additional usage above the free units provided.
Additional details
Usage instructions
first add 8655 port to your security groups open your putty Run the below command #sudo su #sudo apt install ganglia-monitor #sudo nano /etc/ganglia/gmond.conf Make the following changes: udp_send_channel { host = your_IP port = 8649 ttl = 1 } Save and exit systemctl start ganglia-monitor Hit on Browser : http://<ip>/ganglia
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.
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