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@laura_garcia shared a post, 1 year, 8 months ago
Software Developer, RELIANOID

Silicon Labs is taking off!

Excited to kick off the day atSilicon Labs – Works With San Jose! Today, we'll be diving into cutting-edge discussions onAI/ML,IoT security, and hands-on workshops with some of the brightest minds in the wireless IoT space. Looking forward to connecting with experts, exploring live demos, and discov..

Silicon Labs San Jose RELIANOID
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@laura_garcia shared a link, 1 year, 8 months ago
Software Developer, RELIANOID

RELIANOID Community Edition v7 Tour

Explore RELIANOID Community Edition: Your DIY Load Balancer Ready to scale your apps and services? TheRELIANOID Community Editionis a free, user-friendly platform offering essential load balancing features like L4 Load Balancing and L7 Proxy. Perfect for early adopters, testing, and development envi.. read more  

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@adammetis shared a post, 1 year, 8 months ago
DevRel, Metis

Indexes Under The Hood

Many things can improve database performance. One of the most obvious solutions is to use indexes. This blog post will examine them in detail to understand how they work in PostgreSQL and what makes them useful.

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@faun shared a link, 1 year, 9 months ago
FAUN.dev()

Burn rate is a better error rate

Understanding error budgets (like 1% for a 99% SLO) as a percentage rather than a static count is crucial, and burn rate—a preferable metric—directly compares your current error rate to this budget for intuitive, actionable insights, reducing alert noise when implemented over multiple windows as adv.. read more  

Burn rate is a better error rate
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@faun shared a link, 1 year, 9 months ago
FAUN.dev()

The Rise of Open Source Time Series Databases

Time series databases like VictoriaMetrics, Prometheus, and InfluxDB efficiently handle vast amounts of timestamped data and have become crucial for applications in infrastructure monitoring, finance, IoT, and manufacturing, with open source solutions providing superior performance and flexibility c.. read more  

The Rise of Open Source Time Series Databases
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@faun shared a link, 1 year, 9 months ago
FAUN.dev()

Does Your Startup Really Need Complex Cloud Infrastructure?

Pieter Levels advocates for simplicity in infrastructure by running micro-SaaS businesses on single servers, avoiding unnecessary complexity like Kubernetes from day one and instead focusing onproduct-market fit and effective use of powerful modern servers... read more  

Does Your Startup Really Need Complex Cloud Infrastructure?
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@faun shared a link, 1 year, 9 months ago
FAUN.dev()

Understanding Multi-Stage Docker Builds

Multi-stage Docker builds dramatically optimize image sizes, improve security, and speed up builds by separating build dependencies from runtime, leveraging multiple stages within a single Dockerfile for more efficient caching and maintainable workflows—a game-changer for complex applications... read more  

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@faun shared a link, 1 year, 9 months ago
FAUN.dev()

A quick overview of Day 1 at PromCon 2024

PromCon 2024 Day 1 showcased the beta release of Prometheus 3.0 with improved OpenTelemetry compatibility, cost optimizations, upgraded Remote Write 2.0, and the introduction of UTF-8 support for metrics and label names, while Shopify shared its journey to native histograms and Martin discussed scal.. read more  

A quick overview of Day 1 at PromCon 2024
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@faun shared a link, 1 year, 9 months ago
FAUN.dev()

Pilot lights on AWS — A note on terminology

AWS outlines disaster recovery options, including warm standby (a scaled-down but functional secondary environment) and active/active (a full environment for zero downtime) where warm standby is "hotter" and faster to restore than pilot light, which requires additional action to handle traffic... read more  

Pilot lights on AWS — A note on terminology
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@faun shared a link, 1 year, 9 months ago
FAUN.dev()

Modular Monoliths Are a Good Idea, Actually

Materialized View Capital (MVC) officially launched to invest in early-stage infra startups, while the Prefect Summit 2024 keynote covers critical trends like primary persistence on object storage, composable databases, PostgreSQL's renaissance, and durable execution—reflecting shifts from monolithi.. read more  

Modular Monoliths Are a Good Idea, Actually
NanoClaw is an open-source personal AI agent designed to run locally on your machine while remaining small enough to fully understand and audit. Built as a lightweight alternative to larger agent frameworks, the system runs as a single Node.js process with roughly 3,900 lines of code spread across about 15 source files.

The agent integrates with messaging platforms such as WhatsApp and Telegram, allowing users to interact with their AI assistant directly through familiar chat applications. Each conversation group operates independently and maintains its own memory and execution environment.

A core design principle of NanoClaw is security through isolation. Every agent session runs inside its own container using Docker or Apple Container, ensuring that the agent can only access files and resources that are explicitly mounted. This approach relies on operating system–level sandboxing rather than application-level permission checks.

The architecture is intentionally simple: a single orchestrator process manages message queues, schedules tasks, launches containerized agents, and stores state in SQLite. Additional functionality can be added through a modular skills system, allowing users to extend capabilities without increasing the complexity of the core codebase.

By combining a minimal architecture with container-based isolation and messaging integration, NanoClaw aims to provide a transparent, customizable personal AI agent that users can run and control entirely on their own infrastructure.