AWS Lambda Gets Python 3.14: Faster, Smarter, and More Serverless-Friendly
Python 3.14 is now available in AWS Lambda, enabling developers to leverage new Python features for serverless applications.
Updates and recent posts about KitOps.. Activity
@varbear added a new tool chrome-devtools-mcp , 3 weeks, 6 days ago.
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@kaptain shared an update, 3 weeks, 6 days ago
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The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025
Engineer Justin Garrison showcased a backpack-sized PETAFLOP Kubernetes cluster at KubeCon 2025, demonstrating localized AI capabilities without cloud reliance.
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@kaptain added a new tool Talos Linux , 3 weeks, 6 days ago.
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@kaptain shared an update, 3 weeks, 6 days ago
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Google Breaks Kubernetes Limits Again: Inside the 130,000-Node GKE Cluster
Google successfully operates a 130,000-node Kubernetes cluster to enhance GKE's scalability for AI workloads.
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@devopslinks shared an update, 3 weeks, 6 days ago
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Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet
A database permissions change led to a Cloudflare outage by creating an oversized feature file, causing network failures initially mistaken for a DDoS attack.
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@devopslinks shared an update, 4 weeks ago
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Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains
Valkey 9.0 debuts with atomic slot migrations, hash field expiration, and improved cluster mode support, enhancing data management and scalability.
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@devopslinks added a new tool Valkey , 4 weeks ago.
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@devopslinks shared an update, 4 weeks ago
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Grafana 12.3 Lands With New Learning Tools, Better Logs, and a Critical Security Fix
Grafana 12.3 enhances user experience with interactive learning, improved logs visualization, and a critical security fix, alongside new features like dashboard image export and expanded data source support.
KitOps simplifies the handoffs between data scientists, application developers, and SREs working on self-hosted AI/ML models (including LLMs). KitOps' ModelKits create a unified package for models, their dependencies, configurations, and environments. The ModelKit is portable and uses open standards for compatibility with the tools you already use.
