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@faun shared a link, 1 year, 8 months ago
FAUN.dev()

Microsoft Brings More AI-Optimized VMs to Azure

Microsoft unveils Azure ND H200 v5 VMs with a76% surge in High Bandwidth Memoryand eight Nvidia H200 GPUs for AI supercomputing flexibility, alongside the FXv2-series VMs in public preview, boasting doubled vCPUs and enhanced IOPS for complex simulations and SQL workloads... read more  

Microsoft Brings More AI-Optimized VMs to Azure
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@faun shared a link, 1 year, 8 months ago
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Why We Chose NGINX + HashiStack Over Kubernetes for Our Service Discovery Needs

Switching from Kubernetes to Nomad streamlined deployments but required efficient service discovery to ensure smooth routing; by leveraging Consul and an open-source NGINX module, the infrastructure achieved robust and scalable routing without the complexity and cost of NGINX Plus, offering a powerf.. read more  

Why We Chose NGINX + HashiStack Over Kubernetes for Our Service Discovery Needs
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@faun shared a link, 1 year, 8 months ago
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Thousands of Linux systems infected by stealthy malware since 2021

Perfctl malware exploitsover 20,000Linux misconfigurations and patches CVE-2023-33246 with rootkits, camouflaging via deceptive process names and TOR, while secretly mining cryptocurrency—a stealthy threat to millions online... read more  

Thousands of Linux systems infected by stealthy malware since 2021
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@faun shared a link, 1 year, 8 months ago
FAUN.dev()

Getting started: Continuous deployment with Azure Bicep and Azure DevOps

Azure Bicep deployment with Azure DevOps streamlines Infrastructure as Code by leveraging YAML-based pipelines, workload identity federation for secure deployments, and subscription-level scoping to simplify resource management across Azure environments, allowing for individual deployment control an.. read more  

Getting started: Continuous deployment with Azure Bicep and Azure DevOps
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@faun shared a link, 1 year, 8 months ago
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Dockerfile: Explore RUN, CMD, and ENTRYPOINT Like Never Before

In crafting efficient Docker images, prioritizeminimizing layersby combining commands in RUN statements for smaller images, use CMD for default runtime behavior that’s easily overridden, leverage ENTRYPOINT for fixed commands, and always prefer exec form for robust signal handling, ensuring your con.. read more  

Dockerfile: Explore RUN, CMD, and ENTRYPOINT Like Never Before
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@squadcast shared a post, 1 year, 8 months ago

Financial Benefits of Incident Management: Cost Savings and ROI

Interested in how the financials align? Let’s explore the real impact of incident management. We’ll demonstrate how leading teams are using incidents to boost ROI and create sustained value.

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@squadcast shared a post, 1 year, 8 months ago

Trusting AI for Incident Response: The Role of AI in Modern Incident Management

As businesses increasingly adopt digital technologies, the complexity and volume of IT incidents have surged, making rapid incident resolution essential to maintain business continuity. Traditional, reactive incident management approaches are no longer sufficient for modern IT environments. This is where artificial intelligence (AI) steps in, offering automation, prediction, and efficiency. AI can detect issues, streamline root cause analysis, and automate resolutions, transforming incident management from reactive to proactive. By minimizing human intervention and reducing downtime, AI is becoming a crucial tool for handling the demands of today’s IT ecosystems across industries such as healthcare, finance, and telecommunications.

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

UDP Load Balancing

Understanding UDP Load Balancing and Its Real-World Applications From online gaming and VoIP to live streaming, UDP Load Balancing is crucial for ensuring minimal latency in time-sensitive applications. Unlike TCP, UDP prioritizes speed over reliability, making it perfect for real-time services. Whe..

KB UDP load balancing RELIANOID
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@prathamesh-sonpatki shared a link, 1 year, 8 months ago
SRE, Last9.io

Prometheus Recording Rules: A Developer's Guide to Query Optimization

Prometheus Recording Rules: A Developer's Guide to Query Optimization
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@prathamesh-sonpatki shared a link, 1 year, 8 months ago
SRE, Last9.io

Tail Latency: A Critical Factor in Large-scale Distributed Systems

Tail Latency: A Critical Factor in Large-scale Distributed Systems
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.