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News FAUN.dev() Team
@devopslinks shared an update, 3 hours ago
FAUN.dev()

Ubuntu's Next Chapter: Local AI, Confined Agents, and a Bet Against the Cloud-First OS

Ubuntu Ollama Snap

Ubuntu is getting local AI as a native capability over the next year, with inference snaps that install models like any other package, AI-powered accessibility features, and confined agentic workflows for both desktops and server fleets. Canonical is betting on open weight models, local-by-default inference, and snap confinement, a deliberate counter to the cloud-first AI direction Microsoft, Apple, and Google are taking with their operating systems.

Ubuntu's Next Chapter: Local AI, Confined Agents, and a Bet Against the Cloud-First OS
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@devopslinks added a new tool Snap , 3 hours, 27 minutes ago.
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@kala added a new tool Ollama , 3 hours, 41 minutes ago.
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@backlinksaimnxt started using tool Python , 4 hours, 32 minutes ago.
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@backlinksaimnxt started using tool Analysys Ark , 4 hours, 32 minutes ago.
Story Keploy Team
@sancharini shared a post, 2 days ago

Building Automated Regression Testing From Scratch: A Complete Walkthrough

Learn how to build automated regression testing from scratch in 4-6 weeks. Step-by-step walkthrough covering phases, implementation, tools, and avoiding mistakes.

regression testing services
Story
@elsie-rainee shared a post, 2 days ago
DevOps Engineer, Freelancer

Android Architecture: Components, Patterns & Best Practices Guide

Learn Android architecture with components, patterns, and best practices to build mobile apps that are scalable, easy to maintain, and high-performing.

Android Architecture
Story
@viktoriiagolovtseva shared a post, 2 days, 22 hours ago

Online event planning template

Planning a webinar, workshop, or team-wide event in Jira? You’re not alone. When you’re managing internal demos, customer-facing webinars, or company-wide town halls, event coordination takes effort and often involves stakeholders across departments.

Missed deadlines, unclear responsibilities, or last-minute changes can turn even a small event into a major time sink. But there’s good news: you can streamline your event workflows using the tools your team already uses.

Instead of juggling spreadsheets, emails, and calendar invites, create a customizable event planning template in Jira. It brings everything into one place, supports collaboration, and helps you keep track of dependencies, deliverables, and last-minute requests in real time.

Zrzut ekranu 2026-05-01 150322
Story
@viktoriiagolovtseva shared a post, 2 days, 23 hours ago

Performance Review Template That Actually Works

Hiring the right person is only half the equation — helping them grow is the other

Zrzut ekranu 2026-05-01 131816
Story Keploy Team
@sancharini shared a post, 3 days ago

How to Track DORA Metrics Without Months of Engineering Work

Start tracking DORA metrics this week without months of work. Learn simple manual tracking, gradual automation, and practical tools to measure deployment performance

Track DORA Metrics Without Months of Engineering Work
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.