Overview
Key Takeaways
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Defining Value: The primary goal is to maximize value by extracting meaningful insights from logs, balancing insights gained versus the cost of generating those insights.
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Known Known vs. Known Unknown Scenarios:
- Known Known: For scenarios where you know exactly what you're looking for, focus on reducing the cost of obtaining that insight.
- Known Unknown: For scenarios where you have some context but are unsure of the exact information you need to find, prioritize gaining the insight quickly and accurately, even if the cost is higher.
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Techniques for Maximizing Value:
- Metric Filters: Efficiently extract and track specific metrics from logs without the need for repeated queries.
- Embedded Metric Format (EMF): Automatically extract metrics from log entries, eliminating the need for manual configuration.
- Contributor Insights: Quickly identify the top contributors (e.g., customers, components) for a specific metric or event.
- Log Transformations: Transform logs into a structured format to unlock the full potential of CloudWatch features.
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New CloudWatch Features:
- Enhanced Log Analytics: Allows searching across up to 10,000 log groups, with the ability to index specific fields for faster queries.
- Zero ETL with CloudWatch Logs: Provides pre-built dashboards and support for advanced query languages (OpenSearch PPL, Kibana) for analyzing logs.
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Demos:
- Showcased the use of metric filters, EMF, contributor insights, and log transformations to maximize value from logs.
- Demonstrated the new Enhanced Log Analytics features, including field indexing and the ability to compare log patterns over time.
Overall, the session emphasized the importance of being deliberate and strategic about logging, using the right tools for the job, and focusing on maximizing value rather than just reducing costs.
Sections
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Defining Value: Explaining the concept of maximizing value from logs by balancing insights gained versus the cost of generating those insights.
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Known Known vs. Known Unknown Scenarios: Discussing the different approaches for scenarios where the information needed is either known or unknown.
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Techniques for Maximizing Value: Showcasing various CloudWatch features and capabilities to efficiently extract insights from logs.
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New CloudWatch Features: Introducing the latest enhancements to CloudWatch Logs, such as Enhanced Log Analytics and Zero ETL integration.
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Demos: Providing live demonstrations of the discussed features and techniques to illustrate their practical application.
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Resources: Sharing a list of resources for further learning and exploration of the presented concepts and features.