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@faun shared a link, 4 months, 3 weeks ago
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Technical Tuesday: 10 best practices for building reliable AI agents in 2025

UiPath just droppedAgent Builder in Studio- a legit development environment for AI agents that can actually handle enterprise chaos. Think production-grade: modular builds, traceable steps, and failure handling that doesn’t flake under pressure. It’s wired forschema-driven prompts,tool versioning, a.. read more  

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@faun shared a link, 4 months, 3 weeks ago
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Serverless RL: Faster, Cheaper and More Flexible RL Training

New product, Serverless RL, available through collaboration between CoreWeave, Weights & Biases, and OpenPipe. Offers fast training, lower costs, and simple model deployment. Saves time with no infra setup, faster feedback loops, and easier entry into RL training... read more  

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@faun shared a link, 4 months, 3 weeks ago
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The RAG Obituary: Killed by Agents, Buried by Context Windows

Agent-based setups are starting to edge out old-school RAG. As LLMs snag multi-million-token context windows and better task chops, the need for chunking, embeddings, and reranking starts to fade. Claude Code, for example, skips all that - with direct file access and smart navigation instead. Retrie.. read more  

The RAG Obituary: Killed by Agents, Buried by Context Windows
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@faun shared a link, 4 months, 3 weeks ago
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Ansible Service Module: Start, Stop, & Manage Services

The Ansibleservicemodulehandles LinuxandWindows without choking on init system quirks. One playbook can start, stop, enable, or restart anything - no matter the OS. Idempotent, so you don’t have to babysit state. Clean and repeatable. Bonus: it’s great for wrangling fleets. Think: coordinating servi.. read more  

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@faun shared a link, 4 months, 3 weeks ago
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Seven Years of Firecracker

AWS is puttingFirecracker microVMsto work in two fresh stacks:AgentCore, the new base layer for AI agents, andAurora DSQL, a serverless, PostgreSQL-compatible database it just rolled out. AgentCore gives each agent session its own microVM. More isolation, less cross-talk - solid for multistep LLM wo.. read more  

Seven Years of Firecracker
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@faun shared a link, 4 months, 3 weeks ago
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How AWS S3 serves 1 petabyte per second on top of slow HDDs

AWS S3 doesn’t need fancy hardware. It wrings performance out ofcheap HDDs,log-structured merge trees, anderasure coding. The trick? Shard everything. Hit it in parallel. Randomized placementdodges hotspots.Hedged requestsrace the slowest links. And when things get lopsided, S3 rebalances - constant.. read more  

How AWS S3 serves 1 petabyte per second on top of slow HDDs
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@faun shared a link, 4 months, 3 weeks ago
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Automated GitHub Self-Hosted Runner Cleanup: Lambda Functions and Auto Scaling Lifecycle Hooks

When an EC2 instance in an Auto Scaling Group shuts down, event-driven plumbing kicks in. Alifecycle hookcatches the scale-in, fires off an SNS notification, and triggers aLambda. That Lambda calls the GitHub API to yank the self-hosted runner before the instance dies. No dangling runners. No manual.. read more  

Automated GitHub Self-Hosted Runner Cleanup: Lambda Functions and Auto Scaling Lifecycle Hooks
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@faun shared a link, 4 months, 3 weeks ago
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How LogSeam Searches 500 Million Logs per second

LogSeam rips through500M log searches/secand pushes1.5+ TB/s throughputusing Tigris’ geo-distributed object storage. It slashes log volume by 100× with Parquet + Zstandard compression. Then it spins up compute on the fly, right where the data lives—no long-running infrastructure, no laggy reads... read more  

How LogSeam Searches 500 Million Logs per second
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@faun shared a link, 4 months, 3 weeks ago
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The Myths (and Costs) of Running Node.js on Kubernetes

Kubernetes struggles to scale Node.js efficiently due to a mismatch in resource usage patterns. Autoscaling can be sluggish with bursty traffic, leading to revenue risks and performance issues. Teams must rethink resource allocation and scaling strategies to optimize Node.js efficiency in Kubernetes.. read more  

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@faun shared a link, 4 months, 3 weeks ago
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Kubernetes for agentic apps: A platform engineering perspective

Agentic AI flips the old model. Instead of stateless, event-by-event workloads, we getstateful, self-steering systemsthat observe, reason, plan, and act - on loop. Kubernetes steps up as the OS for this next phase. Boosted by platform engineering, it brings the right mix:ephemeral compute, persisten.. read more  

Kubernetes for agentic apps: A platform engineering perspective
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