ContentPosts from @aparnase..
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@faun shared a link, 4 months, 2 weeks ago
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Subverting code integrity checks to locally backdoor Signal, 1Password, Slack, and more

A fresh CVE (2025-55305) just put Electron apps in the hot seat. The bug? Chromium-based apps fail to treatV8 heap snapshot filesas potential attack vectors. That crack lets unsigned JavaScript slip past code signing and run inside heavyweight targets like Slack, 1Password, and Signal. The heart of.. read more  

Subverting code integrity checks to locally backdoor Signal, 1Password, Slack, and more
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@faun shared a link, 4 months, 2 weeks ago
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24 Best Command Line Performance Monitoring Tools for Linux

A fresh look at Linux monitoring tools shows the classics still hold—but the visual crowd’s moving in. Old-school command-liners liketopandvmstatremain go-to’s for quick reads. But picks likeNetdata,btop, andMonitbring dashboards, colors, and actual UX. Tools likeiftop,Nmon, andSuricatastretch deep.. read more  

24 Best Command Line Performance Monitoring Tools for Linux
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@faun shared a link, 4 months, 2 weeks ago
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Pooling Connections with RDS Proxy at Klaviyo

Klaviyo replaced ProxySQL on EC2 and moved toAWS RDS Proxy. Why? Less overhead. Simpler failovers. Smarter pooling. RDS Proxy handlesmultiplexing, packing thousands of client queries into way fewer DB connections. IAM access and built-in failover routing sweeten the deal... read more  

Pooling Connections with RDS Proxy at Klaviyo
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@faun shared a link, 4 months, 2 weeks ago
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Why "What Happened First?" Is One of the Hardest Questions in Large-Scale Systems

Logical clocks trackevent orderin distributed systems—no need for synced wall clocks. Each node keeps a counter. On every event: tick it. On every message: tack on your counter. When you receive one? Merge and bump. This flips the script. Instead of chasing global time, distributed systems lean int.. read more  

Why "What Happened First?" Is One of the Hardest Questions in Large-Scale Systems
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@faun shared a link, 4 months, 2 weeks ago
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Easy will always trump simple

Rich Hickey’s classic “Simple Made Easy” talk is making the rounds again—as a mirror held up to dev culture under pressure. The punchline: we keep picking solutions that areeasy but tangled, instead ofsimple and sane. The essay draws a sharp line between that habit and a concept from biology: exapt.. read more  

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@faun shared a link, 4 months, 2 weeks ago
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Why I Ditched Docker for Podman (And You Should Too)

Older container technologies like Docker have been prone to security vulnerabilities, such as CVE-2019-5736 and CVE-2022-0847, which allowed for potential host system compromise. Podman changes the game by eliminating the need for a persistent background service like the Docker daemon, enhancing sec.. read more  

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@faun shared a link, 4 months, 2 weeks ago
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Kubernetes DNS Exploit Enables Git Credential Theft from ArgoCD

A new attack chain messes withKubernetes DNS resolutionandArgoCD’s certificate injectionto swipe GitHub credentials. With the right permissions, a user inside the cluster can reroute GitOps traffic to a fake internal service, sniff auth headers, and quietly walk off with tokens. What’s broken:GitOp.. read more  

Kubernetes DNS Exploit Enables Git Credential Theft from ArgoCD
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@faun shared a link, 4 months, 2 weeks ago
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Kubernetes VPA: Limitations, Best Practices, and the Future of Pod Rightsizing

Kubernetes'Vertical Pod Autoscaler (VPA)tries to be helpful by tweaking CPU and memory requests on the fly. Problem is, it needs to bounce your pods to do it. And if you're also runningHorizontal Pod Autoscaler (HPA)on the same metrics? Now they're fighting over control. VPA sees a narrow slice of .. read more  

Kubernetes VPA: Limitations, Best Practices, and the Future of Pod Rightsizing
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@faun shared a link, 4 months, 2 weeks ago
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Amazon EKS Enables Ultra-Scale AI/ML Workloads with Support for 100K Nodes per Cluster

Amazon EKS just cranked its Kubernetes cluster limit to100,000 nodes—a 10x jump. The secret sauce? A reworkedetcdwith an internaljournalsystem andin-memorystorage. Toss in tightAPI server tuningand network tweaks, and the result is wild: 500 pods per second, 900K pods, 10M+ objects, no sweat—even un.. read more  

Amazon EKS Enables Ultra-Scale AI/ML Workloads with Support for 100K Nodes per Cluster
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@faun shared a link, 4 months, 2 weeks ago
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Rethinking Efficiency for Cloud-Native AI Workloads

AI isn’t just burning compute—it's torching old-school FinOps. Reserved Instances? Idle detection? Cute, but not built for GPU bottlenecks and model-heavy pipelines. What’s actually happening:Infra teams are ditching cost-first playbooks for something smarter—business-aligned orchestrationthat chas.. read more  

Rethinking Efficiency for Cloud-Native AI Workloads