Amazon CloudWatch vs Ganglia

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Amazon CloudWatch

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Amazon CloudWatch vs Ganglia: What are the differences?

Introduction:

Amazon CloudWatch and Ganglia are both monitoring tools used in the field of cloud computing. Despite having similar functionalities, there are key differences that set them apart.

  1. Data Collection Method: Amazon CloudWatch collects data through agent-based monitoring, where agents are installed on the servers to collect metrics. On the other hand, Ganglia utilizes a decentralized data collection model, where metrics are collected from various nodes and aggregated by a central server.

  2. Autoscaling Integration: Amazon CloudWatch seamlessly integrates with AWS Auto Scaling, allowing automatic adjustments to resources based on the monitoring data. Ganglia, on the other hand, lacks native integration with autoscaling services, requiring additional configuration and scripting for similar functionality.

  3. Alerting Capabilities: Amazon CloudWatch provides robust alerting features, allowing users to set up alarms based on specified thresholds for metrics. In comparison, Ganglia's alerting capabilities are more limited, often requiring the use of third-party tools for advanced alerting functionality.

  4. Metrics Visualization: Amazon CloudWatch offers a user-friendly dashboard for visualizing metrics and creating custom dashboards for monitoring purposes. Ganglia, while providing visualization tools, may require more configuration and customization to achieve the same level of metrics visualization as CloudWatch.

  5. Cost Structure: Amazon CloudWatch follows a pay-as-you-go pricing model, where users are charged based on the volume of metrics collected and monitored. Ganglia, being an open-source tool, offers a more cost-effective solution in terms of monitoring large numbers of nodes without incurring additional costs.

  6. Supported Platforms: Amazon CloudWatch is tightly integrated with Amazon Web Services, making it the preferred choice for monitoring resources within the AWS ecosystem. Ganglia, on the other hand, can be used across various platforms and is not limited to a specific cloud provider, providing more flexibility in multi-cloud environments.

In Summary, Amazon CloudWatch and Ganglia differ in data collection methods, autoscaling integration, alerting capabilities, metrics visualization, cost structure, and supported platforms, making them suitable for different monitoring needs in the cloud computing space.

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Pros of Amazon CloudWatch
Pros of Ganglia
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
  • 11
    SNS and autoscaling integrations
  • 5
    Burstable instances metrics (t2 cpu credit balance)
  • 3
    HIPAA/PCI/SOC Compliance-friendly
  • 1
    Native tool for AWS so understand AWS out of the box
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    Cons of Amazon CloudWatch
    Cons of Ganglia
    • 2
      Poor Search Capabilities
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      What is Amazon CloudWatch?

      It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

      What is Ganglia?

      It is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters.

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      What companies use Amazon CloudWatch?
      What companies use Ganglia?
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      What tools integrate with Amazon CloudWatch?
      What tools integrate with Ganglia?

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      Jul 9 2019 at 7:22PM

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