Get Started with Cascade

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Cascade is available in limited release on AWS! 🎉

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Cascade is an observability solution that uses the power of Hydrolix to provide better understanding of your CloudFront service. Hydrolix Cascade gives you low-latency observability for your Amazon CloudFront logs with pre-built dashboard visualizations and cost-effective, full-fidelity log retention for 15 months. Purchase it through the AWS Marketplace.

How It Works

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AWS real-time logs are sent via Kinesis to Cascade. After processing, indexing, and compression, the real-time log data is written to S3 in your AWS account. Cascade's query engine then uses the data in your S3 bucket(s) to serve queries that power Grafana dashboards and alerts.

Configure Your Account

Provide access to Kinesis and S3 to allow Cascade to show you dashboards with detailed information about how your services are performing over long periods of time.

Prerequisites

If you haven't already, set up these five things:

Configure Cascade

Find "Hydrolix Cascade" in the AWS Marketplace and purchase it. Once you see the configuration page, enter this information from above:

  • IAM access key
  • IAM access key secret
  • Kinesis Data Stream ARN
  • AWS Region

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Resuming the process

If you're interrupted, you can always return to this page by "re-purchasing" Cascade from the AWS Marketplace. AWS Marketplace will only allow you to purchase Cascade once. If you have already purchased, it will forward you to where you left off in the Cascade on-boarding process.

After entering the information, click "Verify Access" to start the provisioning process. This process takes about four minutes, during which time it will verify permissions, create roles and credentials, configure Grafana, and set up Hydrolix to start receiving your data.

Once you see the screen that shows the provisioning is complete, data will start flowing into your dashboards.

Manage Your Grafana Instance

Create Customized Dashboards

Other Resources

  • Hydrolix Architecture
    Learn how Hydrolix provides cost savings, efficiency, and parallelism under the hood