Join us

ContentUpdates from FAUN.dev()...
Link
@faun shared a link, 10 months ago
FAUN.dev()

From Manual Testing to AI-Generated Automation: Our Azure DevOps MCP + Playwright Success Story

A team wired up Azure DevOps’MCP serverwithGitHub Copilotto crank outPlaywrightend-to-end tests from manual test cases. They now run tests on demand from Azure Test Plans, convert entire test suites in bulk, and drop the results into CI pipelines—no hand-holding required. System shift:AI's not just.. read more  

From Manual Testing to AI-Generated Automation: Our Azure DevOps MCP + Playwright Success Story
Link
@faun shared a link, 10 months ago
FAUN.dev()

How I eliminated networking complexity

A fresh pattern’s gaining traction:Docker + Tailscale sidecarsreplacing old-school reverse proxies and clunky VPNs. Each service runs as its ownmesh-routed node, containerized and independent. The trick?Network namespace sharing.App containers hook into the Tailscale mesh with no exposed ports, no .. read more  

Link
@faun shared a link, 10 months ago
FAUN.dev()

AI inference supercharges on Google Kubernetes Engine

Google Cloud's pushingGKEbeyond container orchestration, framing it as an AI inference engine. Meet the new crew: theInference Gateway(smart load balancer, talks models and hardware),custom compute classes, and aDynamic Workload Schedulerthat tunes for both speed and spend. The setup handles GPU an.. read more  

Link
@faun shared a link, 10 months ago
FAUN.dev()

MariaDB Kubernetes Operator 25.08.0 Adds AI Vector Support and Disaster Recovery Enhancements

MariaDB Kubernetes Operator 25.08.0 drops some real upgrades. First up:physical backups. Now supported through native MariaDB tools and Kubernetes CSI snapshots—huge win if you're dealing with chunky datasets and tight recovery windows. It alsodefaults to MariaDB 11.8, which brings in anative vect.. read more  

MariaDB Kubernetes Operator 25.08.0 Adds AI Vector Support and Disaster Recovery Enhancements
Link
@faun shared a link, 10 months ago
FAUN.dev()

Cloud native is not just for hyperscalers

CNCF just dropped anAI workload conformance program, built like the Kubernetes one—so AI tools play nice across clusters. Portability, meet your referee. It’s tightening the loop betweenOpenTelemetry and OpenSearch, turning ad-hoc hacks into actual cross-project coordination. AndBackstage and GitOp.. read more  

Cloud native is not just for hyperscalers
Link
@faun shared a link, 10 months ago
FAUN.dev()

Introducing Kubernetes for Snowflake

Snowflake just leveled up its workload scheduler—now driven by LLMs and reinforcement learning. Instead of locking jobs to static warehouses, it predicts where to send them in real-time. Smarter routing, tighter hardware use, over40%shaved off compute bills. Bigger picture:Another nod toward ML-bas.. read more  

Introducing Kubernetes for Snowflake
Link
@faun shared a link, 10 months ago
FAUN.dev()

Kubernetes Observability: Pillars, Tools & Best Practices

Kubernetes observability isn’t just about catching metrics or tailing logs. It’s about stitching togethermetrics, logs, and tracesto see what’s actually happening—across services, over time, and through the chaos. Thing is, Kubernetes doesn’t come with this built in. So teams hack together toolchai.. read more  

Link
@faun shared a link, 10 months ago
FAUN.dev()

Accessing the Kubernetes API from SQL Server 2025

SQL Server 2025 rolls outspinvokeexternalrestendpoint, a new way to hit REST APIs straight from T-SQL. That includes calling the Kubernetes API—thanks to a reverse proxy in front. The setup’s not exactly plug-and-play. You’ll need custom TLS certs, an nginx reverse proxy, and Kubernetes RBAC to kee.. read more  

Accessing the Kubernetes API from SQL Server 2025
Link
@faun shared a link, 10 months ago
FAUN.dev()

Cloudera Acquires Taikun for Managing Kubernetes and Cloud

Cloudera acquired Taikun for seamless deployment of data and AI workloads in any environment. This move reinforces Cloudera's commitment to flexibility and innovation in managing complex IT infrastructures... read more  

Link
@faun shared a link, 10 months ago
FAUN.dev()

Introducing Headlamp AI Assistant

Headlamp just dropped an AI Assistant plugin that foldsLLM-driven actions and queriesstraight into the Kubernetes UI. It taps intocontext-aware promptsto spot issues, restart deployments, and hunt down flaky pods—without leaving the interface. System shift:This pushes Kubernetes toward intent-based.. read more  

FAUN.dev() is a developer-first platform built with a simple goal: help engineers stay sharp without wasting their time. It curates practical newsletters, thoughtful technical blogs, and useful developer tools that focus on signal over noise.

Created by engineers, for engineers, FAUN.dev() is where experienced developers turn to keep up with the fast-moving world of DevOps, Kubernetes, Cloud Native, AI, and modern programming. We handpick what matters and skip the fluff.

If it’s on FAUN.dev(), it’s worth your attention.

Beyond curation, we run a course marketplace (WIP) designed to keep developers current. These courses go deep into the subjects that shape real-world work—things like Kubernetes internals, modern DevOps workflows, cloud-native architecture, and using AI tools to build faster and smarter. It’s practical learning, taught by people who’ve done the work. Developers from companies like GitHub, Netflix, and Shopify already rely on FAUN.dev() to stay on top of their game. They trust us because we keep it real: no hype, no filler, just what you need to grow and do your best work. For sponsors and partners, FAUN.dev() offers access to a focused, engaged audience of technical professionals. This isn’t just another broad developer community—it’s a place where smart engineers go to get smarter. If you have something meaningful to offer them, you’ll be in good company. In short, FAUN.dev() is more than a content hub. It’s a place to grow, to learn, and to connect with what really matters in software today.