Guidance for Building a Spot Placement Score Tracker Dashboard on AWS
Overview
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Well-Architected Pillars
The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.
Operational Excellence
The Spot placement score is a valuable metric that indicates how likely a Spot Instance request will succeed in a particular AWS Region or Availability Zone. This Guidance uses several AWS services to enable automated tracking and visualization of the Spot placement score for improving workload optimization. CloudWatch stores the Spot placement score metrics while also providing monitoring capabilities and dashboards to analyze the historical data. Amazon S3 hosts the dashboard configuration files in a durable and scalable storage layer. And the Lambda functions automate key steps through responsive serverless processing. Together, these services enhance operational excellence by boosting efficiency, reliability, and responsiveness within dynamic Spot-based workloads.
Read the Operational Excellence whitepaperSecurity
AWS Identity and Access Management (IAM) is used to control and manage access to AWS services and resources, limiting access to only authorized users. IAM roles and policies are scoped down to the minimum permissions required. The Lambda function is also configured to run with least privilege access, meaning it has only the permissions necessary to perform its tasks, reducing the risk of unauthorized access to other resources.
Read the Security whitepaperReliability
Amazon EC2 Spot placement scores provide personalized recommendations on the optimal AWS Region or Availability Zone based on reliability requirements and real-time Spot capacity. This is made possible through a number of AWS Services with capabilities for computing, storing, and monitoring the metrics for Spot Instances. For example, Lambda is a service that enables the consistent, scheduled collection of Spot placement scores every 5 minutes. This serverless service scales automatically as needed.
Also, Amazon S3 is a service that provides durable and fault-tolerant storage for both the Spot placement score metrics and the dashboard configuration data.
Lastly, CloudWatch is a service that monitors this solution end-to-end, sending you alerts for quick issue detection.
Performance Efficiency
The EventBridge event bus invokes the Lambda function on a scheduled basis to collect Amazon EC2 Spot placement scores, which provide optimized recommendations for Spot Instance requests. EventBridge seamlessly connects the data flows between services, while Lambda minimizes manual tasks to boost efficiency.
CloudWatch aids optimization through surveillance, allowing you to visualize performance over time. This serverless automation provides consistent metrics to inform ideal workload placement, while the monitoring capability allows for ongoing refinement of resource utilization.
By leveraging these capabilities, the Spot placement score feature ensures Spot Instance resources are fully utilized and cost savings are achieved through proper capacity planning.
Cost Optimization
The recommended services demonstrated throughout this Guidance provide cost-effective solutions tailored to meet the diverse needs of your workloads. For example, Amazon S3 provides cost-efficient storage for metrics and dashboards, enabling pay-as-you-go data access to inform analysis and planning. Lambda allows for automation costs to align with workloads through utilization-based billing. CloudWatch eliminates unnecessary expenditures by storing only essential infrastructure metrics. And finally, Amazon EC2 Spot placement scoring optimizes instance deployment, reducing spending by up to 90 percent.
Read the Cost Optimization whitepaperSustainability
Less computing overall lowers your carbon footprints organization-wide by maximizing resource utility. Here, Amazon S3 has the capability to store data in tiers to help optimize resource utilization, while the serverless compute capability of Lambda aligns usage with your workload needs. These services minimize waste and promote high infrastructure utilization, which are critical for sustainable workloads.
Read the Sustainability whitepaperImplementation Resources
A detailed guide is provided to experiment and use within your AWS account. Each stage of building the Guidance, including deployment, usage, and cleanup, is examined to prepare it for deployment.
The sample code is a starting point. It is industry validated, prescriptive but not definitive, and a peek under the hood to help you begin.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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