From passive telemetry to interactive intelligence

The gist: Most observability systems are silent partners. They stream data, light up dashboards, and trigger alerts—but they don't interact. We're proposing something radically new: Conversational Observability. Imagine applications that don't just emit signals, but actively respond to your questions, offer real-time feedback, and expose their internal state on demand through self-description APIs.

Think about it: what if you could ask your app, "Why did you crash?", and get a structured, intelligent, and introspective answer?

In this deep dive, we'll cover:

Why this concept is crucial in the age of AI, ephemeral infrastructure, and auto-remediation.

What it looks like to implement conversational observability today.

The evolving role of modern APM platforms like ManageEngine Applications Manager in making this paradigm a reality.

At RELIANOID, we believe a greener industry must also be a safer industry. 🔐 A new report from the Industrial Cybersecurity Center (CCI) highlights a powerful trend: aligning cybersecurity with ESG and sustainability goals is becoming essential for modern industrial resilience. From secure OT enviro..

Prometheus 3.0 supports resource attribute promotion for OpenTelemetry metrics, enabling direct labeling without `target_info` joins.

"The systems we build are becoming too complex to merely monitor. We need systems that explain themselves."

Once upon a time, just monitoring your systems was enough. You had a few servers, maybe Nagios or Zabbix, some uptime checks, and that was it.

Then everything changed. The cloud arrived, followed by containers, microservices, and serverless. Suddenly, your "app" wasn't just a server; it was dozens of services, scattered across data centers, ephemeral environments, third-party APIs, and edge locations.

Monitoring just doesn't cut it anymore.

Today, we're firmly in the era of observability.

2025 isn’t slowing down. From AI agents and lightweight frameworks to infrastructure that actually scales, open source is where the real innovation’s happening.

We’ve combed through FAUN.dev newsletters and community picks to bring you the standout projects developers are loving this year.

Every click you've made is a vote for what's hot and what's not in the open source world. We've analyzed thousands of interactions to identify the tools that have truly captured the attention and imagination of the FAUN.dev community.

If you're curious what's making waves in real dev workflows, this list is your shortcut.

Meta’s Privacy Aware Infrastructure (PAI) slamsGovernable Data Annotations (GDAs)at runtime. It parses SQL across itsexabyte-scalewarehouse and blocks any flow that floutspurpose-usepolicies. It welds Unified Programming Model (UPM), Policy Evaluation Service (PES), Warehouse Permission Service (WP..

METRtapped 16 devs to squash 136 live bugs withCursor(Sonnet 3.5/3.7). They clocked 146 h. AI users zipped through code, but stalls, reviews, and IDE lag devoured their lead. One dev who logged 50+ hours withCursorunlocked a 38% speedup. That steep learning curve and costly context pivots wipe out g..

Tencent’s AI team rolled out a 24-hour, invite-only beta of CodeBuddy to50,000 devs. CodeBuddy flips chat into code via itsconversation-is-programmingIDE. Devs forge end-to-end apps with natural language. Trend to watch:Chat-based IDEs portend a shift to natural-language dev workflows...

Teams balk at trackingTODOcomments. Some funnel them into bug trackers. Others prune stale tags. The post saysTODOs stash edge-case insights, not tickets...