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1 The Southwest’s Wildest Outdoor Art: From Lightning Fields to Sun Tunnels 30:55
Season 4 Episode 11: Dynamo DB Myths, Database Backups, and Leaky Buckets
Manage episode 472158235 series 3426452
In Season 4, Episode 11 Karl & Jon are joined by AWS Community Builder, Joe Stech. They discuss Amazon EC2 allowing AMIs now integrating with AWS Config, Amazon DynamoDB on-demand capacity mode, long-term backup options for Amazon RDS and Amazon Aurora, DeepSeek R1 model, misconfigured AWS S3 bucket exposing US nurses' data and then the guys started debating whether to call it "Glacier Potato" or "Deep Freeze Fries" as the next AWS storage tier!
04:00 - Amazon EC2 Allowed AMIs now integrates with AWS Config
This feature allows easier monitoring of the impact of enabling allowed AMIs in EC2. It's particularly useful for regulated and secure environments where only approved, hardened images can be used. The integration with AWS Config simplifies the process of tracking and auditing AMI usage across accounts.
07:52 - Demystifying Amazon DynamoDB on-demand capacity mode
The article addresses 11 myths about DynamoDB's on-demand capacity mode, covering cost, performance, scaling, and implementation misconceptions. The discussion highlights that many of these "myths" are not widely held beliefs among experienced users, but may be helpful for those less familiar with the service or dealing with outdated information.
19:00 - Long-term backup options for Amazon RDS and Amazon Aurora
The article outlines various options for long-term database backups beyond the standard 35-day retention period. These include manual snapshots, using AWS Database Migration Service, exporting snapshots to S3, and database-specific dump tools. The discussion emphasized that while long-term backups are rarely used for recovery, they may be necessary for compliance and auditing purposes.
27:26 - DeepSeek-R1 now available as a fully managed serverless model in Amazon Bedrock
The DeepSeek R1 model is now available as a fully managed serverless model in Amazon Bedrock. This means users don't need to run the model themselves, and it's now priced per token like other managed models. The discussion touched on potential concerns about the model's Chinese origins and data security.
34:26 - Misconfigured AWS S3 Bucket Exposes Us Nurses' Data
A misconfigured S3 bucket led to the exposure of sensitive data belonging to 86,000 US nurses. The discussion highlighted that while such incidents have become less common due to AWS's improved security measures, there might be a potential increase in similar incidents due to the rise of AI-assisted coding by less experienced developers.
Our guest's blog: https://joeste.ch
and: https://learn.arm.com
100 פרקים
Manage episode 472158235 series 3426452
In Season 4, Episode 11 Karl & Jon are joined by AWS Community Builder, Joe Stech. They discuss Amazon EC2 allowing AMIs now integrating with AWS Config, Amazon DynamoDB on-demand capacity mode, long-term backup options for Amazon RDS and Amazon Aurora, DeepSeek R1 model, misconfigured AWS S3 bucket exposing US nurses' data and then the guys started debating whether to call it "Glacier Potato" or "Deep Freeze Fries" as the next AWS storage tier!
04:00 - Amazon EC2 Allowed AMIs now integrates with AWS Config
This feature allows easier monitoring of the impact of enabling allowed AMIs in EC2. It's particularly useful for regulated and secure environments where only approved, hardened images can be used. The integration with AWS Config simplifies the process of tracking and auditing AMI usage across accounts.
07:52 - Demystifying Amazon DynamoDB on-demand capacity mode
The article addresses 11 myths about DynamoDB's on-demand capacity mode, covering cost, performance, scaling, and implementation misconceptions. The discussion highlights that many of these "myths" are not widely held beliefs among experienced users, but may be helpful for those less familiar with the service or dealing with outdated information.
19:00 - Long-term backup options for Amazon RDS and Amazon Aurora
The article outlines various options for long-term database backups beyond the standard 35-day retention period. These include manual snapshots, using AWS Database Migration Service, exporting snapshots to S3, and database-specific dump tools. The discussion emphasized that while long-term backups are rarely used for recovery, they may be necessary for compliance and auditing purposes.
27:26 - DeepSeek-R1 now available as a fully managed serverless model in Amazon Bedrock
The DeepSeek R1 model is now available as a fully managed serverless model in Amazon Bedrock. This means users don't need to run the model themselves, and it's now priced per token like other managed models. The discussion touched on potential concerns about the model's Chinese origins and data security.
34:26 - Misconfigured AWS S3 Bucket Exposes Us Nurses' Data
A misconfigured S3 bucket led to the exposure of sensitive data belonging to 86,000 US nurses. The discussion highlighted that while such incidents have become less common due to AWS's improved security measures, there might be a potential increase in similar incidents due to the rise of AI-assisted coding by less experienced developers.
Our guest's blog: https://joeste.ch
and: https://learn.arm.com
100 פרקים
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1 Season 4 Episode 22: Aurora DSQL, Cost Optimization, and Cloud Dissatisfaction 38:45

1 Season 4 Episode 21: Reboot Migrations, Container Mapping, and GenAI Spending 36:31

1 Season 4 Episode 20: Chips, Chaos, and Nuclear Power 49:36

1 Season 4 Episode 19: AI Agents, Responsible AI Adoption, and Cloud Earnings 50:06

1 Season 4 Episode 18: Lambda Logging, Just-in-Time Access, and Data Center Debates 45:31

1 Season 4 Episode 17: Prepaid AWS, Prompt Optimization, and Gamified Learning 45:06

1 Season 4 Episode 16: Apex Domains, Backup Testing, and Cloud Sustainability 45:41

1 Season 4 Episode 15: Models, Money, and Monitoring 42:38

1 Season 4 Episode 14: Monitoring, Guardrails, and Open Source 42:43

1 Season 4 Episode 13: Simulating Failures, Scanning Resources, and Securing Secrets 35:19

1 Season 4 Episode 12 - Code Pipeline, KMS Metrics, and AI-Powered Contact Centers 50:41

1 Season 4 Episode 11: Dynamo DB Myths, Database Backups, and Leaky Buckets 40:12

1 Season 4 Episode 10 - Clippy's Comeback, CLI Confusion, and Cloud Competition 40:08

1 Season 4 Episode 9 - Chainsaws, Chatbots, and Cross-Account Access 32:46

1 Season 4 Episode 8 - Cloud Formation, Fargate Frugality, and Vanishing Security Advice 39:35

1 Season 4, Episode 7 Maps, Stacks, and AI Tracks 38:58

1 Season 4 Episode 6: DynamoDB, Dollars, and Disappearing Buckets 38:36

1 Season 4 Episode 5 - Metadata, Models, and Milestones: Celebrating 100 Episodes of AWS News 34:56

1 Season 4 Episode 4 - Serverless Insights, Backup Best Practices, and Multi-Region Myths 34:40

1 Season 4 Episode 3: Spots, Servers, and Security 39:08

1 Season 4 Episode 2: Patching, Sustainability, and AI Hallucination 40:25

1 Season 4 Episode 1 - VPC Origins, Backup Searches, and Jeff Barr's Farewell 35:56

1 Season 3 Episode 42 - re:Invent 2024 18:04

1 Season 3 Episode 41 - Graviton Dashboards, Transfer Terminals & Database Discounts 36:47

1 Season 3 Episode 40 - Lambda's Birthday, CloudFormation Timeline & Bedrock Agents 41:18

1 Season 3 Episode 39 - Lambda Enhancements, Bedrock Prompt Management & Remote Working Natives 34:26

1 Season 3 Episode 38 - Q Developer, Security Group Sharing, and Amazon's RTO 37:57

1 Season 3 Episode 37 - Jam, Sessions & The Nuclear Option 42:17

1 Season 3 Episode 36 - CodePipeline, Valkey and AI Exec Departure 30:29

1 Season 3 Episode 35 - Graviton 4, ChatOps & Bananas 35:58
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