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In this episode, we discuss some tips and tricks for optimizing performance when working with Amazon S3 at scale. We start by giving an overview of how S3 works, highlighting the distributed nature of the service and how data is stored redundantly across multiple availability zones for durability. We then dive into specific tips like using multipart uploads and downloads, spreading the load across key namespaces, enabling transfer acceleration, and using S3 byte-range fetches. Overall, we aim to provide developers building S3-intensive applications with practical guidance to squeeze the most performance out of the service.
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In this episode, we provide a comprehensive overview of DynamoDB, including how it compares to relational databases, when to use it, how to get started, writing and querying data, secondary indexes, and single table design. We share our experiences using DynamoDB and discuss the pros and cons compared to traditional SQL databases.
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In this episode, we provide an overview of Amazon Aurora, a relational database solution on AWS. We discuss its unique capabilities like distinct storage architecture for better performance and faster recovery. We cover concepts like Aurora clusters, reader and writer instances, endpoints, and global databases. We also compare the serverless versions V1 and V2, noting that V2 is more enterprise-ready while V1 scales to zero. We touch on billing and additional features like the data API, RDS query editor, and RDS proxy. Overall, Aurora is powerful and scalable but not trivial to use at global scale. It's best for serious enterprise use cases or variable traffic workloads.
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In this episode, we discuss 5 different ways to extend CloudFormation capabilities beyond what it natively supports. We started with a quick recap of what CloudFormation is and why we might need to extend it. We then covered using custom scripts and templating engines, which can be effective but require extra maintenance. We recommended relying instead on tools like Serverless Framework, SAM, and CDK which generate CloudFormation templates but provide abstractions and syntax improvements. When you need custom resources, CloudFormation macros allow pre-processing templates, while custom resources and the CloudFormation registry allow defining new resource types. We summarized recommendations for when to use each approach based on our experience. Overall, we covered multiple options for extending CloudFormation to support more complex infrastructure needs.
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In this episode, we discuss best practices for working with AWS Lambda. We cover how Lambda functions work under the hood, including cold starts and warm starts. We then explore different invocation types - synchronous, asynchronous, and event-based. For each, we share tips on performance, cost optimization, and monitoring. Other topics include function structure, logging, instrumentation, and security. Throughout the episode, we aim to provide a solid mental model for serverless development and share our experiences to help you build efficient and robust Lambda applications.
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In this episode, we provide commentary and analysis on the 2024 AWS Community Survey results. We go through the key findings for each area including infrastructure as code, CI/CD, serverless, containers, NoSQL databases, event services, and AI/ML. While recognizing potential biases, we aim to extract insights from the data and share our perspectives based on experience. Overall, we see increased adoption across many services, though some pain points remain around developer experience. We hope this format provides value to listeners interested in cloud technology trends.
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In this episode, we provide an introductory overview of AWS's best practices for managing infrastructure using multiple accounts under an organization. We discuss the advantages of this approach and how to get started creating your own multi-account environment, or "landing zone".
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In this episode, we provide an overview of Amazon EBS, which stands for Elastic Block Storage. We explain what block storage is and how EBS provides highly available and high-performance storage volumes that can be attached to EC2 instances. We discuss the various EBS volume types, including GP3, GP2, provisioned IOPS, and HDD volumes, and explain how they differ in performance characteristics like IOPS and throughput. We go over important concepts like IOPS, throughput, and volume types so listeners can make informed decisions when provisioning EBS. We also cover EBS features like snapshots, encryption, direct API access, and ECS integration. Overall, this is a comprehensive guide to understanding EBS and choosing the right options based on your workload needs.
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In this episode, we discuss AWS Resource Access Manager (RAM) and how it can be used to securely share AWS resources like VPC subnets, databases, and SSM parameters across accounts. We explain the benefits of using RAM over other options like resource policies and assumed roles. Some key topics covered include how to get started with RAM, how it works from the resource owner and resource participant side, and common use cases like sharing VPC subnets, Aurora databases, and SSM parameters.
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In this episode, we discuss Permission Boundary policies in AWS IAM. A permissions boundary is an advanced feature in which you set the maximum permissions that an identity-based policy can grant to an IAM entity. When you set a permissions boundary for an entity, the entity can perform only the actions allowed by its identity-based policies and its permissions boundaries.
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