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Donald Porter
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Very well explained, kudos!
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Scaling methodologies (for example, load balancing, auto scaling)
Thank you for this informative post!
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Identifying misconfiguration and determining remediation steps for absent access permissions that are necessary for logging (for example, by managing read/write permissions, S3 bucket permissions, public access, and integrity)
Consider using partitioning to break down large datasets into manageable chunks.
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SQL queries (for data source queries and data transformations)
Great post! It really helped to clarify how to use AWS services in a DevOps pipeline.
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Invoking AWS services in a pipeline for testing
Really appreciate the examples. How do you handle network ACLs in multiple environments?
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Testing and validating connectivity between environments
Utilizing Spot Instances can help reduce costs, but keeping track of them can be tricky. Any tips?
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Using AWS solutions to identify unused resources
Incisive post! Grateful for the simplicity and clarity.
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Artifact use cases and secure management
I think mutable deployments are risky as they can lead to configuration drift over time. Immutable deployments seem safer.
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Mutable deployment patterns in contrast to immutable deployment patterns
Thank you for this detailed post! Really clarified the concepts.
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Different connectivity patterns and use cases (for example, VPC peering, Transit Gateway, AWS PrivateLink)
Thanks a ton for this detailed post!
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Implementing encryption solutions to secure data in transit (for example, CloudFront, Application Load Balancers and Network Load Balancers, VPN over Direct Connect, AWS managed databases, Amazon S3, custom solutions on Amazon EC2, Transit Gateway)
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