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@anjali shared a link, 5 months, 3 weeks ago
Customer Marketing Manager, Last9

OpenTelemetry Metrics in Quarkus Explained

Understand how to enable, export, and extend OpenTelemetry metrics in your Quarkus application with practical examples.

otel_metrics_quarkus
News FAUN.dev() Team
@varbear shared an update, 5 months, 3 weeks ago
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Redis Fixes Critical Vulnerability - Update Your Instances Now

Redis

Redis addresses a critical remote code execution vulnerability, CVE-2025-49844, by releasing fixed versions and recommending best practices to protect instances.

Redis Fixes Critical Vulnerability - Update Your Instances Now
News FAUN.dev() Team
@devopslinks shared an update, 5 months, 3 weeks ago
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Pulumi’s Neo Now Fixes Infra Policy Violations - Not Just Flags Them

Pulumi

AI-powered remediation rolls out across Pulumi Cloud, bringing automated fixes, approval workflows, and cross-cloud compliance without requiring full migration to Pulumi IaC.

Pulumi’s Neo Now Fixes Infra Policy Violations - Not Just Flags Them
News FAUN.dev() Team
@devopslinks shared an update, 5 months, 3 weeks ago
FAUN.dev()

AWS Unveils Fastnet Cable to Boost Transatlantic Cloud Connectivity

Amazon Web Services

AWS introduces Fastnet, a high-capacity transatlantic subsea cable, to enhance network resilience and support growing cloud and AI demands, operational by 2028.

AWS Unveils Fastnet Cable to Boost Transatlantic Cloud Connectivity
News FAUN.dev() Team
@varbear shared an update, 5 months, 3 weeks ago
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GitHub Unveils Agent HQ: A Unified Platform for Managing AI Agents

GitHub Copilot

GitHub’s new Agent HQ unifies AI tools from OpenAI, Anthropic, and Google directly within GitHub. It offers centralized management for AI agents through mission control, custom agent setup, code quality tracking, and enterprise governance - all designed to streamline AI-driven development while keeping control and visibility in one place.

GitHub Unveils Agent HQ: A Unified Platform for Managing AI Agents
News FAUN.dev() Team
@devopslinks shared an update, 5 months, 3 weeks ago
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IncusOS Launches: A Secure, API-Driven Linux for Servers and VMs

IncusOS

IncusOS, an immutable operating system for running Incus, debuts with atomic updates and boot security, based on a minimal Debian 13, managed via the Incus API.

IncusOS Launches: A Secure, API-Driven Linux for Servers and VMs
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@laura_garcia shared a post, 5 months, 3 weeks ago
Software Developer, RELIANOID

The Next Paradigm in High Availability System Design

🌟 We’re proud to share the latest article from our CEO, whose vision and deep technical insight continue to drive innovation at RELIANOID. In her new article — “From Single Processors to the Post-Quantum Era and Autonomous Resilience: The Next Paradigm in High Availability System Design” — she expl..

laura garcia medium article
News FAUN.dev() Team
@kala shared an update, 5 months, 3 weeks ago
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Elon Musk's Grok 4 AI Gets Major Boost with 2M Token Context

Grok 4, a multimodal AI model, significantly enhances reasoning and non-reasoning task accuracy with a 2 million token context window, offering versatile applications and cost-effective API pricing.

Elon Musk's Grok 4 AI Gets Major Boost with 2M Token Context
News FAUN.dev() Team
@kaptain shared an update, 5 months, 3 weeks ago
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ZEDEDA Launches Edge Kubernetes App Flows: AI-Ready, Zero-Trust, and Built for Harsh Edge Reality

ZEDEDA just released Edge Kubernetes App Flows, a full-stack, AI-friendly edge solution that simplifies deploying and managing Kubernetes apps at scale - even across thousands of edge clusters.

ZEDEDA Launches Edge Kubernetes App Flows: AI-Ready, Zero-Trust, and Built for Harsh Edge Reality
News FAUN.dev() Team
@kaptain shared an update, 5 months, 3 weeks ago
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Kubernetes + Postgres = Finally Sane? CloudNativePG and pgEdge Think So

Helm pgEdge

pgEdge integrates CloudNativePG to streamline Postgres deployment on Kubernetes with new container images and an updated Helm chart.

LangChain is a modular framework designed to help developers build complex, production-grade applications that leverage large language models. It abstracts the underlying complexity of prompt management, context retrieval, and model orchestration into reusable components. At its core, LangChain introduces primitives like Chains, Agents, and Tools, allowing developers to sequence model calls, make decisions dynamically, and integrate real-world data or APIs into LLM workflows.

LangChain supports retrieval-augmented generation (RAG) pipelines through integrations with vector databases, enabling models to access and reason over large external knowledge bases efficiently. It also provides utilities for handling long-term context via memory management and supports multiple backends like OpenAI, Anthropic, and local models.

Technically, LangChain simplifies building LLM-driven architectures such as chatbots, document Q&A systems, and autonomous agents. Its ecosystem includes components for caching, tracing, evaluation, and deployment, allowing seamless movement from prototype to production. It serves as a foundational layer for developers who need tight control over how language models interact with data and external systems.