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@devopslinks shared a link, 4 months, 2 weeks ago
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The story of how we almost got hacked

Team Invictus caught a BEC attempt using WeTransfer to slip in a fake Microsoft 365 login page powered byEvilProxy. Classic Adversary-in-the-Middle move, but dressed up with a slick delivery package. Digging deeper, the team mapped the attacker’s setup and found something bigger: a credential grab c.. read more  

The story of how we almost got hacked
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@devopslinks shared a link, 4 months, 2 weeks ago
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Failure is inevitable: Learning from a large outage, and building for reliability in depth at

Datadog ditched its “never fail” mindset after a March 2023 meltdown knocked out half its Kubernetes nodes and took major user features down with them. The fix? A full-stack rethink built aroundgraceful degradation. The team addeddisk-based persistence at intake,live-data prioritization,QoS-aware re.. read more  

Failure is inevitable: Learning from a large outage, and building for reliability in depth at
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@devopslinks shared a link, 4 months, 2 weeks ago
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Comparing AWS Lambda Arm64 vs x86_64 Performance Across Multiple Runtimes in Late 2025

A new open-source benchmark looked at 183,000 AWS Lambda invocations, andarm64 beats x86_64across the board in both cost and speed. Rust on arm64 with SHA-256 tuned in assembly? It clocks in 4–5× faster than x86 in CPU-heavy tasks. Cold starts are snappy too—5–8× quicker than Node.js and Python... read more  

Comparing AWS Lambda Arm64 vs x86_64 Performance Across Multiple Runtimes in Late 2025
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@kaptain shared an update, 4 months, 2 weeks ago
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Agent Sandbox Brings Kernel-Level Guardrails to AI Agents on Kubernetes

gVisor Kata Containers Google Kubernetes Engine (GKE) Kubernetes

Agent Sandbox, a new Kubernetes primitive, was introduced at KubeCon NA 2025 to enhance AI agent management on Kubernetes and Google Kubernetes Engine.

Agent Sandbox Brings Kernel-Level Guardrails to AI Agents on Kubernetes
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@devopslinks shared an update, 4 months, 2 weeks ago
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AWS Unveils Graviton5: A 192-Core Leap in Cloud Performance and Efficiency

Amazon Web Services Amazon EC2

AWS introduces Graviton5-based EC2 M9g instances, boosting performance by 25% and enhancing scalability while reducing costs.

AWS Unveils Graviton5: A 192-Core Leap in Cloud Performance and Efficiency
News FAUN.dev() Team
@varbear shared an update, 4 months, 2 weeks ago
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Tor Goes Rust: Introducing Arti, a New Foundation for the Future of Tor

#Rust  #Securit...  #Tor  #Arti  #cryptog... 
Arti Rust Tor

The development of "Arti," a Rust-based Tor implementation funded by Zcash, aims to enhance security and efficiency by addressing the limitations of the current C-based Tor.

Tor Goes Rust: Introducing Arti, a New Foundation for the Future of Tor
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@varbear added a new tool Arti , 4 months, 2 weeks ago.
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@varbear added a new tool Tor , 4 months, 2 weeks ago.
News FAUN.dev() Team
@kala shared an update, 4 months, 2 weeks ago
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Gemini Deep Research Is Now Programmable Through a New API

Gemini 3 Vertex AI

The enhanced Gemini Deep Research agent is now available via API, enabling developers to integrate advanced research capabilities into applications, with the open-sourcing of DeepSearchQA for evaluating complex tasks.

Gemini Deep Research Is Now Programmable Through a New API
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@kala added a new tool Vertex AI , 4 months, 2 weeks ago.
FastMCP is an open-source Python framework designed to simplify the development of Model Context Protocol servers. It allows developers to define MCP components such as tools, resources, and prompts using decorators, and to organize them through a modular architecture built around providers and transforms. Providers determine where components originate, including local code, directories, OpenAPI specifications, or remote MCP servers. Transforms modify components as they flow to clients, enabling namespacing, filtering, versioning, and visibility control.

The framework supports component versioning, per-component authorization, and middleware for cross-cutting concerns such as authentication and logging. It includes a built-in command-line interface for listing, calling, discovering, and installing MCP servers. FastMCP also supports session-scoped state, background task execution, OpenTelemetry tracing, pagination for large component sets, and transport options including stdio and HTTP-based protocols.

FastMCP is intended for developers building agent-compatible backends and structured tool interfaces for large language model systems that implement the Model Context Protocol.