#aws

AWS used random graph theory to design a more efficient data center network architecture, improving performance and resilience while reducing costs. The approach, based on principles from mathematics, allows for better traffic distribution and fault tolerance compared to traditional network topologies.

AWS redesigned its cloud data center network using random graph theory to improve resilience and performance. By introducing intentional randomness into the network topology, the company created a more robust infrastructure that can better handle failures and traffic surges while reducing latency. This innovative approach marks a significant shift from traditional hierarchical network designs.

Webbynode observed that an AWS t3.large virtual machine's performance characteristics shifted significantly again after one week, changing its "personality" once more. The article details how cloud instance behavior can vary over time due to underlying hardware or resource contention, highlighting the unpredictability of cloud performance even within the same instance type.

The article discusses AWS services that can be used to deploy and manage "vibe-coded" applications, covering options for hosting, scaling, and maintaining ownership of the deployment infrastructure after the initial code generation phase.

Amazon's AWS has published a new random graph network topology it claims solves a key technical bottleneck for scaling data centers. The approach aims to improve performance and reduce costs for its massive cloud infrastructure by optimizing how thousands of servers communicate.

The article explains that AI-generated draw.io AWS diagrams often show empty squares instead of AWS icons due to missing shape libraries. It offers a fix by providing a custom skill that automatically includes and maps the correct AWS shape libraries when generating diagrams.

AWS redesigned its data center network using random graph theory to improve cloud resilience and reduce the impact of failures. The new architecture, called the Amazon VPC Lattice, randomly connects network paths, making the system more fault-tolerant and scalable than traditional hierarchical designs.

Shuffle sharding is a technique that AWS uses to improve workload isolation by distributing customer workloads across a larger number of smaller shards, ensuring that a failure in one shard affects only a small subset of customers. This approach reduces the blast radius of failures, increases availability, and allows for more granular capacity management compared to traditional sharding methods.

AWS's cloud margins are improving due to growth from Anthropic usage and strong Bedrock adoption, while competitors like Google Cloud and Azure face margin pressure from heavy AI infrastructure investments.

AWS RDS Extended Support for older database versions, while costly, still offers users some financial levers to manage the expense. The article outlines strategies such as rightsizing instances, using reserved instances, and planning migration timelines to minimize the impact of extended support fees.

AWS has highlighted organizations that adopted its European Sovereign Cloud, a dedicated cloud region in Germany designed to meet EU data residency and regulatory requirements. The cloud provider listed several customers and partners who moved workloads to the sovereign infrastructure, emphasizing compliance with local data protection laws.

The article explores Amazon Aurora DSQL, a new distributed SQL database service, discussing its architecture, consistency models, and how it relates to the "circle of life" concept in database evolution towards globally distributed, serverless systems.

An AWS user racked up a $30,000 bill after using Amazon Bedrock's Claude AI model without proper usage monitoring or cost controls, highlighting the risk of unexpected expenses when deploying large language models in the cloud without guardrails.

The article compares using Claude AI models directly on AWS versus through AWS Bedrock, focusing on financial operations (FinOps) considerations. It details differences in pricing, cost management, integration complexity, and operational overhead between the two deployment options, helping organizations decide which approach aligns better with their cloud financial strategy.

Lambda on Lambda is a Haskell library that enables running serverless functions on AWS Lambda. It provides tools for building, packaging, and deploying Haskell code as Lambda functions, leveraging the AWS Lambda runtime API.

AWS terminated an employee who was described as a dedicated and caring worker, sparking discussion about the company's treatment of employees who go above and beyond their roles.

This repository provides guidance and sample code for implementing well-architected skills and steering mechanisms for AI coding agents, helping developers build more reliable and effective AI-assisted development workflows.

A security researcher discovered they could bypass AWS API Gateway authentication by adding a trailing slash to the request URL, exploiting a discrepancy in how the gateway and backend interpreted routes. The vulnerability earned them a $12,000 bug bounty from the affected company.

A technical story recounts how Shopify's infrastructure once had conflicts with AWS EC2, leading to performance issues. The article details the challenges and resolution between the two platforms, highlighting the complexities of scaling e-commerce on cloud infrastructure.

A security researcher scanned over 900 public S3 buckets containing Terraform state files and discovered that 41 of them exposed live AWS credentials, highlighting a significant cloud security risk from misconfigured storage.

A developer discovered idle NAT gateways in AWS that his team claimed did not exist, highlighting how cloud resources can be forgotten or overlooked, leading to unnecessary costs. The article details the process of identifying these hidden resources and the importance of regular cloud audits.

Broadcom announced that Bitnami offerings on AWS, including the Bitnami Launcher and Bitnami AMIs, will be discontinued. The blog post advises users to transition before a specified deadline and provides guidance on migrating to alternative solutions. No exact timeline is provided in the snippet.

The author humorously describes sacrificing a goat to AWS gods after a major cloud infrastructure outage, using the anecdote to explore real reliability challenges with cloud services and the need for better system resilience planning beyond simply relying on cloud providers.

A security researcher found they could bypass AWS API Gateway authentication simply by adding a trailing slash to the URL, earning a $12,000 bug bounty. The vulnerability exploited how API Gateway handled route matching differently when a slash was appended, allowing unauthorized access to protected endpoints.

The author reflects on leaving AWS after four years, describing the experience as intense and valuable but ultimately deciding to move on. He shares insights about AWS's engineering culture, the high execution pace, and the trade-offs of working in a large, fast-moving organization.

The article warns that certain AWS service quotas—like EC2 instance limits, Lambda concurrency, and API throttling—can cause production outages at critical moments, especially when increases can't be obtained quickly. It advises proactive auditing and monitoring of these quotas to avoid unexpected failures.

AWS has open-sourced ExtendDB, a DynamoDB-compatible adapter that allows developers to use different storage backends (like PostgreSQL, MySQL, SQLite) while keeping the same DynamoDB API. This enables local development, multi-cloud deployments, and cost optimization without changing application code.

AWS introduced Strands Agent, a framework for building self-extending CLI tools that can dynamically discover and incorporate new capabilities at runtime. The agent uses a plugin-based architecture to extend its functionality without requiring code changes, enabling developers to create modular and adaptable command-line interfaces that evolve with user needs.

Benchmark tests on the AWS t3.large instance reveal performance variability across three separate runs, challenging the assumption that this instance type is consistently calm and stable. The results suggest that burstable CPU credits and workload timing can significantly affect performance, with notable differences in execution times between runs.

AWS has introduced ExtendDB, an open-source adapter that provides a DynamoDB-compatible API with pluggable storage backends. This allows developers to use the DynamoDB interface with different storage systems beyond Amazon DynamoDB itself, offering greater flexibility in backend choice.