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Season 4 Episode 14: Monitoring, Guardrails, and Open Source
Manage episode 475686330 series 3426452
In Season 4, Episode 14 Karl & Jon are joined by Tangara Aymen. They discuss Amazon CloudWatch Application Signals, AWS Step Functions SDK Expanded Integrations, Amazon Bedrock Guardrails Image Content Filters, Australian Fintech Data Leak, AWS Commitment to Open Source and then the guys joked about writing horror films called "Attack of the Leaky Buckets" and "Attack of the Bad Internet" after experiencing connectivity issues during the podcast.
04:25 - Monitor service dependencies with Amazon CloudWatch Application Signals SLOs
CloudWatch is getting more features, including application signals for monitoring service dependencies and Service Level Objectives (SLOs). This allows for more precise tracking of performance at the individual request level, improved error budgeting, and cross-account observability. The functionality is becoming comparable to third-party monitoring tools like Datadog or New Relic.
13:27 - AWS Step Functions expands SDK integrations with Amazon Backup Search and 137 additional APIs
AWS has added 137 new API integrations to Step Functions, including Amazon Backup Search. This allows for easier orchestration of backup discovery and management without writing additional code. While it expands capabilities, it may make Step Functions less testable due to the complexity of testing around these integrations.
Bedrock Guardrails has released generally available image content filters to detect and block harmful content. This can be useful for protecting sensitive audiences and reducing the need for manual content moderation. However, there are concerns about potential over-blocking of legitimate content.
28:52 - 27,000 records in Australian fintech database were exposed
An Australian fintech company exposed approximately 27,000 records due to an unsecured S3 bucket. This highlights the ongoing issue of "leaky buckets" and the importance of proper security measures and monitoring for cloud storage.
33:06 - AWS Cloud Credits for Open Source Projects: Affirming Our Commitment
AWS has reaffirmed its commitment to open source projects by offering cloud credits, including $3 million annually to the Kubernetes project. While the credits are beneficial, there was discussion about whether direct financial support would be more valuable for open source communities.
100 פרקים
Manage episode 475686330 series 3426452
In Season 4, Episode 14 Karl & Jon are joined by Tangara Aymen. They discuss Amazon CloudWatch Application Signals, AWS Step Functions SDK Expanded Integrations, Amazon Bedrock Guardrails Image Content Filters, Australian Fintech Data Leak, AWS Commitment to Open Source and then the guys joked about writing horror films called "Attack of the Leaky Buckets" and "Attack of the Bad Internet" after experiencing connectivity issues during the podcast.
04:25 - Monitor service dependencies with Amazon CloudWatch Application Signals SLOs
CloudWatch is getting more features, including application signals for monitoring service dependencies and Service Level Objectives (SLOs). This allows for more precise tracking of performance at the individual request level, improved error budgeting, and cross-account observability. The functionality is becoming comparable to third-party monitoring tools like Datadog or New Relic.
13:27 - AWS Step Functions expands SDK integrations with Amazon Backup Search and 137 additional APIs
AWS has added 137 new API integrations to Step Functions, including Amazon Backup Search. This allows for easier orchestration of backup discovery and management without writing additional code. While it expands capabilities, it may make Step Functions less testable due to the complexity of testing around these integrations.
Bedrock Guardrails has released generally available image content filters to detect and block harmful content. This can be useful for protecting sensitive audiences and reducing the need for manual content moderation. However, there are concerns about potential over-blocking of legitimate content.
28:52 - 27,000 records in Australian fintech database were exposed
An Australian fintech company exposed approximately 27,000 records due to an unsecured S3 bucket. This highlights the ongoing issue of "leaky buckets" and the importance of proper security measures and monitoring for cloud storage.
33:06 - AWS Cloud Credits for Open Source Projects: Affirming Our Commitment
AWS has reaffirmed its commitment to open source projects by offering cloud credits, including $3 million annually to the Kubernetes project. While the credits are beneficial, there was discussion about whether direct financial support would be more valuable for open source communities.
100 פרקים
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1 Season 4 Episode 29: Revamped Free Tier, Rebranded Certification, and Renewed Layoffs 40:03

1 Season 4 Episode 28: VMware Migration, GPU Cooling, and Builder Center 39:39

1 Season 4 Episode 27: DynamoDB Consistency, ECS Windows AMIs, and AI Landing Zones 34:14

1 Season 4 Episode 25: Certificates, MFA, and Australian Investments 57:19

1 Season 4 Episode 24 - Meatballs, Manifolds, and Massive Investments 38:26

1 Season 4 Episode 23: Pricing, Protection, and Privacy 42:04

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
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