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Season 4 Episode 34: Budgets, Databases, and Prime Day Peaks
Manage episode 503805737 series 3426452
In Season 4, Episode 34, Karl and Jon sit down with AWS Community Builder and Software Engineer Iyanuoluwa Ajao for a fast-paced chat on the latest in cloud and beyond. They cover the new AWS Budgets features for cross-account cost visibility, smart ways to optimize Amazon RDS and Aurora costs with Compute Optimizer, and advanced Graviton adoption strategies across regions. The conversation also dives into how AWS scaled to meet the demands of Prime Day 2025, and AWS CEO Matt Garman’s comments on why AI won’t replace junior developers. As always, the hosts veer into lighter territory—this time reminiscing about vintage computers, classic consoles, and coding in Basic.
Check out Iyanuoluwa’s blog The Rise of AI, and don’t miss Retro Reset, a tech charity close to Jon’s heart.
05:09 - AWS Budgets improvements
AWS has introduced cross-account cost visibility in AWS Budgets, allowing users to view budgets across multiple accounts within an organization. This feature is particularly useful for managed service providers and large organizations with multiple business units. It enables teams to have a consolidated view of budgets relevant to their specific areas without needing access to the entire organization.
09:23 - Optimizing RDS and Aurora with AWS Compute Optimizer
AWS Compute Optimizer now supports optimization recommendations for Amazon RDS and Aurora databases. This tool helps identify over-provisioned resources, unused instances, and opportunities for right-sizing. The article discusses the importance of database optimization due to its significant impact on overall cloud spending and provides guidance on using Compute Optimizer for databases.
16:04 - Advanced AWS Graviton adoption strategies
The article discusses strategies for implementing AWS Graviton across different AWS regions. It highlights the importance of considering regional differences in instance availability and suggests using mixed instances and instance requirements rather than specific instance types. The article emphasizes the benefits of Graviton for price and performance optimization but notes that some workloads may still require x86 chips.
22:07 - AWS services scaling for Prime Day 2025
AWS shared statistics on how their services scaled to handle Amazon's Prime Day 2025. Notable figures include deploying over 87,000 Inferentia and Trainium chips for Amazon Rufus, powering more than 40% of Amazon.com using Graviton, and processing 1.5 quadrillion daily requests on Amazon ElastiCache. This article demonstrates AWS's ability to handle massive scale and serves as a marketing tool for potential customers.
29:56 - AWS CEO on AI and junior developers
Matt Garman, CEO of AWS, stated that junior developers are not at risk of being replaced by AI. The discussion touched on the importance of understanding code versus relying solely on AI-generated solutions. The speakers emphasized the continued need for human developers, especially for smaller companies, and cautioned against over-reliance on AI in software development.
100 епізодів
Manage episode 503805737 series 3426452
In Season 4, Episode 34, Karl and Jon sit down with AWS Community Builder and Software Engineer Iyanuoluwa Ajao for a fast-paced chat on the latest in cloud and beyond. They cover the new AWS Budgets features for cross-account cost visibility, smart ways to optimize Amazon RDS and Aurora costs with Compute Optimizer, and advanced Graviton adoption strategies across regions. The conversation also dives into how AWS scaled to meet the demands of Prime Day 2025, and AWS CEO Matt Garman’s comments on why AI won’t replace junior developers. As always, the hosts veer into lighter territory—this time reminiscing about vintage computers, classic consoles, and coding in Basic.
Check out Iyanuoluwa’s blog The Rise of AI, and don’t miss Retro Reset, a tech charity close to Jon’s heart.
05:09 - AWS Budgets improvements
AWS has introduced cross-account cost visibility in AWS Budgets, allowing users to view budgets across multiple accounts within an organization. This feature is particularly useful for managed service providers and large organizations with multiple business units. It enables teams to have a consolidated view of budgets relevant to their specific areas without needing access to the entire organization.
09:23 - Optimizing RDS and Aurora with AWS Compute Optimizer
AWS Compute Optimizer now supports optimization recommendations for Amazon RDS and Aurora databases. This tool helps identify over-provisioned resources, unused instances, and opportunities for right-sizing. The article discusses the importance of database optimization due to its significant impact on overall cloud spending and provides guidance on using Compute Optimizer for databases.
16:04 - Advanced AWS Graviton adoption strategies
The article discusses strategies for implementing AWS Graviton across different AWS regions. It highlights the importance of considering regional differences in instance availability and suggests using mixed instances and instance requirements rather than specific instance types. The article emphasizes the benefits of Graviton for price and performance optimization but notes that some workloads may still require x86 chips.
22:07 - AWS services scaling for Prime Day 2025
AWS shared statistics on how their services scaled to handle Amazon's Prime Day 2025. Notable figures include deploying over 87,000 Inferentia and Trainium chips for Amazon Rufus, powering more than 40% of Amazon.com using Graviton, and processing 1.5 quadrillion daily requests on Amazon ElastiCache. This article demonstrates AWS's ability to handle massive scale and serves as a marketing tool for potential customers.
29:56 - AWS CEO on AI and junior developers
Matt Garman, CEO of AWS, stated that junior developers are not at risk of being replaced by AI. The discussion touched on the importance of understanding code versus relying solely on AI-generated solutions. The speakers emphasized the continued need for human developers, especially for smaller companies, and cautioned against over-reliance on AI in software development.
100 епізодів
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