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Season 4 Episode 14: Monitoring, Guardrails, and Open Source

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Manage episode 475686330 series 3426452
Content provided by Logicata. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Logicata or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

20:35 - Amazon Bedrock Guardrails announces the general availability of industry-leading image content filters

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.

  continue reading

100 episodes

Artwork
iconShare
 
Manage episode 475686330 series 3426452
Content provided by Logicata. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Logicata or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

20:35 - Amazon Bedrock Guardrails announces the general availability of industry-leading image content filters

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.

  continue reading

100 episodes

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