diff --git a/docs/aws-devops.md b/docs/aws-devops.md index 79b8c876..9717521f 100644 --- a/docs/aws-devops.md +++ b/docs/aws-devops.md @@ -23,6 +23,7 @@ ## Continuous Deployment with AWS - [Continuous Deployment with AWS](https://aws.amazon.com/blogs/devops/tag/continuous-deployment) + - **(2026)** [AWS DevOps Agent adds release management capabilities to assess code changes before production (preview)](https://aws.amazon.com/blogs/aws/aws-devops-agent-adds-release-management-capabilities-to-assess-code-changes-before-production-preview) 🌟 - Introducing automated release-readiness reviews and autonomous staging testing for risk assessment within CI/CD pipelines. ## AWS CodeDeploy @@ -35,3 +36,10 @@ - [admiralty.io](https://admiralty.io) The simplest way to deploy applications to multiple Kubernetes clusters. - [thenewstack.io: Making Kubernetes Serverless and Global with AWS Fargate on EKS and Admiralty](https://thenewstack.io/making-kubernetes-serverless-and-global-with-aws-fargate-on-eks-and-admiralty) - [admiralty.io: Multi-Region AWS Fargate on EKS](https://admiralty.io/docs/tutorials/fargate) + + - **(2026)** [Core Dump Epidemiology: Fixing an 18-Year-Old Bug](https://openai.com/index/core-dump-epidemiology-data-infrastructure-bug) 🌟 - OpenAI engineers utilize large-scale stack-trace signatures to isolate a silent hardware error and an 18-year-old GNU libunwind race condition. + + - **(2026)** [OpenAI and Broadcom Unveil LLM-Optimized Inference Chip](https://openai.com/index/openai-broadcom-jalapeno-inference-chip) 🌟 - OpenAI and Broadcom debut JalapeΓ±o, a custom Intelligence Processor ASIC built specifically for LLM inference workloads. + +## AWS Transform + - **(2026)** [Proactively reduce tech debt autonomously with AWS Transform – continuous modernization (preview)](https://aws.amazon.com/blogs/aws/proactively-reduce-tech-debt-autonomously-with-aws-transform-continuous-modernization-preview) 🌟 - An autonomous agentic service that continuously scans codebases to detect, prioritize, and remediate tech debt at scale.