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@kaptain shared a link, 2 months, 3 weeks ago
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Securing Production Debugging in Kubernetes

The post prescribes an on-demand SSH gateway pod. It usesshort-lived, identity-bound credentialsandKubernetes RBACto grant scoped, auditable debug sessions. It recommends anaccess brokerthat binds Roles to groups, issues ephemeral certs and OpenSSH user certificates, rotates CAs, enforces command-le.. read more  

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@kaptain shared a link, 2 months, 3 weeks ago
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The Invisible Rewrite: Modernizing the Image Promoter

SIG Release rewrote theimage promotercore. It cut 20% of the code. It added apipeline engine,cosignsigning, andSLSAattestations. Signing now sits separate fromsignature replication. Registry reads run in parallel - plan time dropped ~20m → ~2m. Per-request timeouts, retries, and HTTP connection reus.. read more  

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@kaptain shared a link, 2 months, 3 weeks ago
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Kubernetes v1.36 - Sneak Peek

Kubernetes v1.36 (Apr 22, 2026) enablesHPAScaleToZeroby default. That lets theHPAuseminReplicas: 0and read only controller-owned pod metrics. The release swaps long-lived image-pull secrets forephemeral KSA tokens. It deprecatesIPVS, retiresIngress NGINX, and aligns withcontainerd 2.x. The release f.. read more  

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@kala shared a link, 2 months, 3 weeks ago
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OpenClaw is a great movement, but dead product. what's next?

After talking to 50+ individuals experimenting with OpenClaw, it's clear that while many have tried it and even explored it for more than 3 days, only around 10% have attempted automating real actions. However, most struggle to maintain these automations at a production level due to challenges with .. read more  

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@kala shared a link, 2 months, 3 weeks ago
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Scaling Karpathy's Autoresearch: What Happens When the Agent Gets a GPU Cluster

A team pointedClaude Codeatautoresearchand spun up 16 Kubernetes GPUs. The setup ran ~910 experiments in 8 hours.val_bpbdropped from 1.003 to 0.974 (2.87%). Throughput climbed ~9×. Parallel factorial waves revealedAR=96as the best width. The pipeline usedH100for cheap screening andH200for validation.. read more  

Scaling Karpathy's Autoresearch: What Happens When the Agent Gets a GPU Cluster
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@kala shared a link, 2 months, 3 weeks ago
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OpenClaw Tutorial: AI Stock Agent with Exa and Milvus

An autonomous market agent ships. OpenClaw handles orchestration. Exa returns structured, semantic web results. Milvus (or Zilliz Cloud) stores vectorized trade memory. A 30‑minute Heartbeat keeps it running. Custom Skills load on demand. Recalls query 1536‑dim embeddings. Entire stack runs for abou.. read more  

OpenClaw Tutorial: AI Stock Agent with Exa and Milvus
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@kala shared a link, 2 months, 3 weeks ago
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OpenAI to acquire Astral

OpenAI will acquire Astral, pending regulatory close. It will fold Astral's open-source Python tools —uv,Ruff, andty— intoCodex. Teams will integrate the tools.Codexwill plan changes, modify codebases, run linters and formatters, and verify results acrossPythonworkflows. System shift:This injects pr.. read more  

OpenAI to acquire Astral
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@kala shared a link, 2 months, 3 weeks ago
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Building AI Teams with Sandboxes & Agent

Docker Agentruns teams of specialized AI agents. The agents split work: design, code, test, fix. Models and toolsets are configurable. Docker Sandboxesisolate each agent in a per-workspacemicroVM. The sandbox mounts the host project path, strips host env vars, and limits network access. Tooling move.. read more  

Building AI Teams with Sandboxes & Agent
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@devopslinks shared a link, 2 months, 3 weeks ago
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How we fixed Postgres connection pooling on serverless with PgDog

A startup swappedSupavisorandPgBouncerforPgDogonEKS. The swap stopped serverless deploy connection spikes. A multi-threaded, colocated pooler handled the bursty traffic. PgDogneeded fixes forPrismaprepared-statement handling. The team shipped those.PgDognow exports metrics viaOpenMetricstoPrometheus.. read more  

How we fixed Postgres connection pooling on serverless with PgDog
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@devopslinks shared a link, 2 months, 3 weeks ago
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Rocky Linux 9 on AWS EC2: Best Practices for Production

Rocky Linux 9 pairs RHEL-9 binary compatibility and modern kernels with AWS EC2 features:cloud-init,ENA,NVMe,gp3. The guide recommendsM6i/M7ifor general servers. It favorsC‑seriesfor heavy compute andio2for databases. PreferXFS. KeepSELinuxenabled. Use immutable AMIs. Automate withAnsible... read more  

Travelopro is a leading travel software development company that offers cutting-edge software solutions to organizations in the travel and hospitality industries. Travel Agents can partner with us by choosing from one of the many unique travel-technology solutions we offer. Our team works diligently and smartly to come up with engaging, cost-effective solutions that meet the demands of our clients without ever compromising on the quality. Our approach and people create exceptional experiences. We provide customized travel software solutions such as B2B Booking System, B2C Booking System, Travel Agency Software, Tour Operator Software, White Label Travel Portal, Tour Booking Software, Package Booking Software, Car Rental Reservation System, Transfer Booking System, Hotel Booking Software, that are easily integrated into travel agents' travel portals and allow travel agents to provide the best travel deals for customers. Over the years, we have helped travel agencies, travel agents, tour operators, hotels, destination management companies, and travel companies simplify travel for their customers. This in turn helps companies provide their customers with a unique experience, which in turn helps organizations build their brand value and gain more customers. We serve as your trusted partner every step of the way, providing you with high-quality customer service available 24×7.