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News FAUN.dev() Team
@kala shared an update, 4 months 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, 4 months 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, 4 months 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, 4 months 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, 4 months 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, 4 months 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
Link
@anjali shared a link, 4 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, 4 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
Story
@laura_garcia shared a post, 4 months, 1 week 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
Link
@anjali shared a link, 4 months, 1 week 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
BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).