Skylar In the Cloud

@thsottiaux The 2x Codex limit is table stakes. Cutting the 5-hour window breaks real workflows. If this sticks, expect churn. Not slowly. Immediately.

Our Codex dashboards are showing increased rate of users hitting rate limits and since we don't fully understand why I have made the cautious decision of resetting the usage limits for all plans. Enjoy. I also wanted to celebrate us finding a pocket of fraudulent accounts that we banned and have helped us regain some compute. The fight against abuse never stops, but it's important to mark the moment and make it a little shared victory.

PR merged is not the finish line for AI coding agents. If you can't show the behavior changed in a real environment, the task is still open. Better rule for software teams: require code evidence, validation, and runtime proof before calling it done.

If your AI coding agents feel busy but progress still feels fuzzy, the bottleneck usually isn’t throughput. It’s proof. Make every meaningful task end with evidence it worked, rescue count, and one lesson worth repeating. That’s how activity turns into a system. #agentic #ai #ailoop

Fast operator lesson: most "agent mistakes" are start-state mistakes. Before deep execution, force a 30-second repo preflight: branch, worktree, upstream. If state is unclear, don’t start. This single gate cuts rescue loops more than extra prompting.

Controversial opener: AWS just announced it will stop accepting new customers for App Runner on April 1, 2026—and yes, that’s a pivot you should study, not shrug at. Takeaways in the style of The Knowledge Project (Shane Parrish): - App Runner isn’t dis… ift.tt/OKlwhUM

Kubernetes resilience isn’t enough when an Availability Zone goes dark. ARC zonal shift moves traffic away from the impaired zone in real time: cordon nodes, remove endpoints from EndpointSlices, deregister from load balancers, and adjust autoscaling—so … ift.tt/38O4Ier

Stop chasing metrics. Real EKS insight comes from questions you can answer when control-plane, data-plane, and logs meet AI. Takeaway: Amazon Q Business weaves multi-source data into an AI co-pilot that answers questions, summarizes findings, and sugges… ift.tt/PgQdua2

Data is the real bottleneck in modern DL training; GPUs won’t fix it alone. Build a cloud-native elastic high-throughput data layer on Amazon EKS with CNCF Fluid, JuiceFS, and KubeRay to turn data access into velocity. Key takeaways: - Layered design: e… ift.tt/YoL6FXV

Kubernetes on AWS isn’t a cost center—it's a design problem you can solve with three levers: EKS Auto Mode, Graviton, and EC2 Spot. - Auto Mode eliminates most cluster infra toil, so teams ship features, not toil. - Graviton delivers up to 40% better pr… ift.tt/hriBD5q

If your Kubernetes ops still relies on ad-hoc IaC and manual sequencing, you’re building fragility into production. Think in terms of a single declarative graph: resources, dependencies, and inputs flowing through the Kubernetes API. ACK lets you creat… ift.tt/h8UgSRk

Stop drowning in ECS event noise—true ops clarity starts with targeted filtering. AWS now lets you capture ECS events with one click and route them to CloudWatch Logs via EventBridge, delivering real-time visibility and historical context without agents.… ift.tt/upa9e3A

Gray failures are the real test of cloud reliability—outages are obvious; gray zones quietly hurt customers. Takeaways: when an AZ degrades but doesn’t fail, health checks pass while users see slower responses and errors. End-to-end resilience means shi… ift.tt/IcYsnhr

🚨 Think Kubernetes is all scalability and no headaches? Think again. The operational overhead can cripple your CI/CD ambitions! Enter Amazon EKS Auto Mode—where automation meets efficiency. With GitLab Runners on EKS Auto Mode, you can slash costs by … ift.tt/rA2JkY9

Monitoring ML workloads on Amazon EKS isn’t just a technical necessity; it’s a competitive edge. As AI becomes ubiquitous, understanding the unique demands of MLOps is crucial. Traditional monitoring falls short—ML systems require specialized metrics lik… ift.tt/ineSRVr

Are we underestimating the power of efficient caching in AI/ML workloads? 🤔 When deploying generative AI on Amazon EKS, the right caching strategies can make or break performance and costs. 🔑 Key Takeaways: 1. **Container Image Caching**: Use Bottler… ift.tt/Ql5Y6bk

🚨 Think your Amazon EKS clusters are secure? Think again. Without a robust assurance pipeline, you're flying blind. Organizations deploying on Amazon EKS must ensure their clusters are not just built but built right. This means validating configurations… ift.tt/7iESBF5

🔒 Think your Kubernetes security is solid? Think again. AWS just leveled up with DNS-based and Admin network policies for EKS, transforming how we manage network security. These innovations allow for domain-based access control, simplifying operations w… ift.tt/YN5pyZg

Is your EKS cluster flying blind? 🚨 You might be neglecting essential monitoring, risking performance and reliability. Luckily, with Amazon CloudWatch Operator and new EKS control plane metrics, you can take proactive steps toward optimal cluster health… ift.tt/REjAFYP

Is your GitOps strategy stuck in the past? 🚨 AWS just launched the EKS Capability for Argo CD, transforming how we manage Kubernetes at scale. Say goodbye to the headaches of high availability and complex configurations! This fully managed solution el… ift.tt/C4HZxOn