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@kala shared an update, 2 months, 1 week ago
FAUN.dev()

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, 2 months, 1 week ago
FAUN.dev()

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, 2 months, 1 week ago
FAUN.dev()

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.

Story
@laura_garcia shared a post, 2 months, 1 week ago
Software Developer, RELIANOID

Azure MFA Enforcement Has Arrived – Are You Ready?

As of October 1, 2025, Microsoft now requires all Azure tenants to use multifactor authentication (MFA) before performing any resource management actions. - The message is clear: MFA is no longer optional—it’s essential everywhere. At RELIANOID, we make MFA enforcement possible not only for Azure bu..

Story
@laura_garcia shared a post, 2 months, 1 week ago
Software Developer, RELIANOID

🚀 Why this matters more than ever: Strengthening cybersecurity in space isn’t just a milestone — it’s essential.

The European Space Agency (ESA) recently inaugurated its new Cybersecurity Operations Center (C-SOC) to defend satellites, mission control systems, and digital assets from escalating cyber threats. 🌍 As the reliance on space technology continues to grow, initiatives like this — together with global ..

ESA_Cybersecurity Operations Center
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@anjali shared a link, 2 months, 1 week ago
Customer Marketing Manager, Last9

How Prometheus Exporters Work With OpenTelemetry

Learn how Prometheus exporters expose OTLP metrics in Prometheus format, making it easier to scrape OpenTelemetry data.

prometheus_exporter
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@anjali shared a link, 2 months, 1 week ago
Customer Marketing Manager, Last9

What Are AI Guardrails

Learn the core concepts of AI guardrails and how they create safer, more reliable, and well-structured AI systems in production.

grafana_tempo
Story
@laura_garcia shared a post, 2 months, 1 week ago
Software Developer, RELIANOID

🚨 AWS Outage Analysis: Lessons in Cloud Resilience

On October 20, 2025, AWS suffered a major disruption in its US-EAST-1 region, impacting over 140 services including EC2, Lambda, S3, and DynamoDB. The root cause? A DNS resolution failure that cascaded through dependent systems — showing how even the strongest cloud infrastructures can falter. At RE..

aws outage
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@laura_garcia shared a post, 2 months, 2 weeks ago
Software Developer, RELIANOID

🚀 Deploy RELIANOID Load Balancer Enterprise Edition v8 with Terraform on AWS

Our latest quick guide shows you how to spin up the RELIANOID Enterprise Edition on AWS in just a few commands — using the official Terraform module from the Terraform Registry. You’ll automatically provision: ✅ VPC + Internet Gateway ✅ Public Subnet ✅ Security Group (SSH 22, Web GUI 444) ✅ EC2 Inst..

terraform_relianoid_enterprise_img2
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@anjali shared a link, 2 months, 2 weeks ago
Customer Marketing Manager, Last9

Grafana Tempo: Setup, Configuration, and Best Practices

A practical guide to setting up Grafana Tempo, configuring key components, and understanding how to use tracing across your services.

grafana_tempo
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.