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@eon01 shared a post, 4 months, 1 week ago
Founder, FAUN.dev

Three Events. One Week. The Heart of SoCal Tech.

Docker Kubernetes Pulumi Terraform vLLM

This March, Pasadena becomes a rare convergence point for security, open source, and DevOps practitioners. As a media partner,FAUN.dev()is proud to support three community-driven events that are deeply practitioner-focused and unapologetically real. - SCALEanchors the week asNorth America's largest..

SCaLE
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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

I struggled to code with AI until I learned this workflow

AI coding assistants work best when given clear context, a specific plan, and implemented in small, reviewable steps. Start with context, then a plan, and iterate through implementation and testing to avoid AI freelancing pitfalls... read more  

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@varbear shared a link, 4 months, 1 week ago
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What Is an Async Agent, Really?

An async agent is not inherently async, it depends on whether you wait for it to finish or not. Async agents can manage their own event loop of other agents, spawning and coordinating them to handle tasks, just like an async runtime in programming. This architectural distinction allows for concurren.. read more  

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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

Discord Alternatives, Ranked

A veteran Discord admin did a deep dive into chat platform alternatives - Signal, Matrix, Zulip, Rocket.Chat, Discourse - stacked against five key pillars: functionality, openness, security, safety, and decentralization. Discord didn't come out looking great. Centralized. No end-to-end encryption. S.. read more  

Discord Alternatives, Ranked
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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

Company as Code

Organisations rely heavily on digital systems, yet manage important organisational data using outdated manual methods despite advanced automation capabilities in other areas. A novel "Company as Code" concept proposes a programmatic representation of the entire organisation, enabling structured, ver.. read more  

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@kaptain shared a link, 4 months, 1 week ago
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How GKE Inference Gateway improved latency for Vertex AI

Vertex AI now plays nice withGKE Inference Gateway, hooking into the Kubernetes Gateway API to manage serious generative AI workloads. What’s new:load-awareandcontent-aware routing. It pulls from Prometheus metrics and leverages KV cache context to keep latency low and throughput high - exactly what.. read more  

How GKE Inference Gateway improved latency for Vertex AI
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@kaptain shared a link, 4 months, 1 week ago
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Why Kubernetes is retiring Ingress NGINX

The Kubernetes Steering Committee is pulling the plug onIngress NGINX- official support ends March 2026. No more updates. No security patches. Gone. Why? It's been coasting on fumes. One or two part-time maintainers couldn't keep up. The tech debt piled up. Now it's a security liability. What's next.. read more  

Why Kubernetes is retiring Ingress NGINX
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@kaptain shared a link, 4 months, 1 week ago
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CVE-2026-22039: Kyverno Authorization Bypass

Kyverno - a CNCF policy engine for Kubernetes - just dropped a critical one:CVE-2026-22039. It lets limited-access users jump namespaces by hijacking Kyverno'scluster-wide ServiceAccountthrough crafty use of policy context variable substitution. Think privilege escalation without breaking a sweat. I.. read more  

CVE-2026-22039: Kyverno Authorization Bypass
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@kaptain shared a link, 4 months, 1 week ago
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Introducing Node Readiness Controller

Kubernetes just dropped theNode Readiness Controller- a smarter way to track node health. It slaps taints on nodes based on custom signals, not just the plain old "Ready" status. The goal? Safer pod scheduling that actually reflects what’s going on under the hood. It's powered by theNodeReadinessRul.. read more  

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@kaptain shared a link, 4 months, 1 week ago
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How Kubernetes Learned to Resize Pods Without Restarting Them

Kubernetes v1.35 introduces in-place Pod resizing, allowing dynamic adjustments to CPU and memory limits without restarting containers. This feature addresses the operational gap of vertical scaling in Kubernetes by maintaining the same Pod UID and workload identity during resizing. With this breakt.. read more  

How Kubernetes Learned to Resize Pods Without Restarting Them
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.