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@kaptain added a new tool pgEdge , 1 month, 2 weeks ago.
News FAUN.dev() Team
@devopslinks shared an update, 1 month, 2 weeks ago
FAUN.dev()

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
 Activity
@devopslinks added a new tool IncusOS , 1 month, 2 weeks ago.
Story
@laura_garcia shared a post, 1 month, 2 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, 1 month, 2 weeks 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, 1 month, 2 weeks ago
FAUN.dev()

ZEDEDA Launches Edge Kubernetes App Flows: AI-Ready, Zero-Trust, and Built for Harsh Edge Reality

#K3s  #gitops  #ZEDEDA  #Edge  #kuberne... 

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, 1 month, 2 weeks 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, 1 month, 2 weeks 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, 1 month, 2 weeks 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, 1 month, 2 weeks 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
Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storage—such as S3, GCS, or Azure Blob Storage—to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.