Operations | Monitoring | ITSM | DevOps | Cloud

Open Source Data Lakehouse Architecture with Spark and Kyuubi: Engineering Deep Dive

Subscribe. Fuel your curiosity. This webinar gives a detailed exploration of an open source data lakehouse architecture and how we implement it at Canonical. Watch to discover how Spark’s scalable processing engine and Kyuubi’s user-friendly SQL gateway enable efficient, secure, and high-performance analytics on unified data sets. Let’s dig deeper into how this combination simplifies big data storage, interactive analytics, and ETL – all through a single, streamlined open source lakehouse architecture.

Design Concept: User-Created AI Agents with External Tool Support

Here's an early look at user-created AI agents with external tool support in Mattermost — designed to integrate AI into daily workflows while maintaining governance and security. We’d love your feedback on this design. Contact the Fast Futures team at fastfutures@mattermost.com.

Evaluate and Improve Your Site's Web Performance With Honeycomb for Frontend Observability

As an engineer on Honeycomb’s frontend platform team, I’m constantly trying to understand and improve our web performance. And I have a whole lot of questions. I tried answering these types of questions without Honeycomb in the past, and it was difficult and time consuming. It used to take me days to identify performance issues and their causes, let alone fix them and confirm that they improved web performance for some subset of users.

OpenTelemetry API vs SDK: Understanding the Architecture

When you're instrumenting applications with OpenTelemetry, you'll encounter two core components: the API and the SDK. The API defines what telemetry data looks like and how it is created, while the SDK handles how that data is processed and exported. Understanding this split helps you build more maintainable observability and avoid tight coupling between your business logic and telemetry infrastructure.

How Auvik Network Management Optimizes Network Performance: Real User Insights

Network performance challenges can cripple business operations, leaving IT teams scrambling to identify bottlenecks while users experience frustrating slowdowns. Without proper visibility into bandwidth utilization, latency issues, packet loss, and network availability, organizations risk reactive troubleshooting that costs time and productivity.

Real User Experiences: How Auvik Network Management Transforms Remote Support

When distributed teams need network support, traditional approaches often fall short. The difference between a quick remote fix and hours of on-site troubleshooting can make or break productivity for organizations with dispersed infrastructure. Based on feedback from real users on PeerSpot, an enterprise technology buying intelligence platform, Auvik Network Management is changing how IT teams deliver remote support by eliminating common barriers and reducing resolution times.

The Complete Angular Error Handling Guide for Production-Ready Apps

Your Angular app just crashed in production with ‘ERROR Error: Uncaught (in promise): ’. Sound familiar? After debugging countless production fires, I’ve learned that proper error handling isn’t optional—it’s the difference between sleeping through the night and getting paged at 3 AM.

Caddy Webserver Data in Graylog

If you’re running Caddy Webserver on Ubuntu, Graylog now has a new way to make your access logs more actionable without tedious parsing or manual setup. The new Caddy Webserver Content Pack, available in Illuminate 6.4 and a Graylog Enterprise or Graylog Security license, delivers ready-to-use parsing rules, streams, and dashboards so you can quickly turn raw logs into structured, searchable insights.

Real-time OS examples: use cases across industries

In sectors where precision and predictability are non-negotiable, timing is everything. Whether coordinating robotic arms on a factory floor, maintaining ultra-reliable latency in telecom networks, or ensuring an automotive braking system responds instantly, the success of these systems depends on meeting strict timing deadlines.